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@article{diniz_filho_three_2010,
title = {The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of {Utetheisa} ornatrix ({Lepidoptera}, {Arctiidae})},
volume = {54},
issn = {0085-5626},
shorttitle = {The three phases of the ensemble forecasting of niche models},
url = {http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0085-56262010000300001&lng=en&nrm=iso&tlng=en},
doi = {10.1590/S0085-56262010000300001},
number = {3},
journal = {Revista Brasileira de Entomologia},
author = {Diniz Filho, José Alexandre Felizola and Ferro, Viviane G and Santos, Thiago and Nabout, João Carlos and Dobrovolski, Ricardo and De Marco Jr., Paulo},
year = {2010},
pages = {339--349},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\W536C9UU\\Filho et al. - 2010 - The three phases of the ensemble forecasting of ni.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\HHMLCNWP\\scielo.html:text/html}
}
@article{araujo_reducing_2005,
title = {Reducing uncertainty in projections of extinction risk from climate change},
volume = {14},
issn = {1466-8238},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1466-822X.2005.00182.x/abstract},
doi = {10.1111/j.1466-822X.2005.00182.x},
abstract = {Aim Concern over the implications of climate change for biodiversity has led to the use of species–climate ‘envelope’ models to forecast risks of species extinctions under climate change scenarios. Recent studies have demonstrated significant variability in model projections and there remains a need to test the accuracy of models and to reduce uncertainties. Testing of models has been limited by a lack of data against which projections of future ranges can be tested. Here we provide a first test of the predictive accuracy of such models using observed species’ range shifts and climate change in two periods of the recent past. Location Britain. Methods Observed range shifts for 116 breeding bird species in Britain between 1967 and 1972 (t1) and 1987–91 (t2) are used. We project range shifts between t1 and t2 for each species based on observed climate using 16 alternative models (4 methods × 2 data parameterizations × 2 rules to transform probabilities of occurrence into presence and absence records). Results Modelling results were extremely variable, with projected range shifts varying both in magnitude and in direction from observed changes and from each other. However, using approaches that explore the central tendency (consensus) of model projections, we were able to improve agreement between projected and observed shifts significantly. Conclusions Our results provide the first empirical evidence of the value of species–climate ‘envelope’ models under climate change and demonstrate reduction in uncertainty and improvement in accuracy through selection of the most consensual projections.},
language = {en},
number = {6},
urldate = {2017-08-14},
journal = {Global Ecology and Biogeography},
author = {Araújo, Miguel B and Whittaker, Robert J and Ladle, Richard J and Erhard, Markus},
month = nov,
year = {2005},
keywords = {Bioclimatic envelope modelling, British birds, climate change, consensus forecasting, model variability, probabilistic modelling, species distributions, uncertainty},
pages = {529--538},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\7TFZRKD5\\Araújo et al. - 2005 - Reducing uncertainty in projections of extinction .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\SWNZGF3Y\\abstract.html:text/html}
}
@article{dormann_components_2008,
title = {Components of uncertainty in species distribution analysis: {A} case study of the {Great} {Grey} {Shrike}},
volume = {89},
issn = {1939-9170},
shorttitle = {Components of {Uncertainty} in {Species} {Distribution} {Analysis}},
url = {http://onlinelibrary.wiley.com/doi/10.1890/07-1772.1/abstract},
doi = {10.1890/07-1772.1},
abstract = {Sophisticated statistical analyses are common in ecological research, particularly in species distribution modeling. The effects of sometimes arbitrary decisions during the modeling procedure on the final outcome are difficult to assess, and to date are largely unexplored. We conducted an analysis quantifying the contribution of uncertainty in each step during the model-building sequence to variation in model validity and climate change projection uncertainty. Our study system was the distribution of the Great Grey Shrike in the German federal state of Saxony. For each of four steps (data quality, collinearity method, model type, and variable selection), we ran three different options in a factorial experiment, leading to 81 different model approaches. Each was subjected to a fivefold cross-validation, measuring area under curve (AUC) to assess model quality. Next, we used three climate change scenarios times three precipitation realizations to project future distributions from each model, yielding 729 projections. Again, we analyzed which step introduced most variability (the four model-building steps plus the two scenario steps) into predicted species prevalences by the year 2050. Predicted prevalences ranged from a factor of 0.2 to a factor of 10 of present prevalence, with the majority of predictions between 1.1 and 4.2 (inter-quartile range). We found that model type and data quality dominated this analysis. In particular, artificial neural networks yielded low cross-validation robustness and gave very conservative climate change predictions. Generalized linear and additive models were very similar in quality and predictions, and superior to neural networks. Variations in scenarios and realizations had very little effect, due to the small spatial extent of the study region and its relatively small range of climatic conditions. We conclude that, for climate projections, model type and data quality were the most influential factors. Since comparison of model types has received good coverage in the ecological literature, effects of data quality should now come under more scrutiny.},
language = {en},
number = {12},
urldate = {2017-08-14},
journal = {Ecology},
author = {Dörmann, Carsten F and Purschke, Oliver and García Márquez, Jaime R and Lautenbach, Sven and Schröder, Boris},
month = dec,
year = {2008},
keywords = {species distribution model, climate change, artificial neural network, best subset regression, collinearity, data uncertainty, GAM, Generalized Additive Models, Generalized Linear Models, Germany, GLM, prediction, Saxony, sequential regression, stepwise model selection},
pages = {3371--3386},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\AT323PCQ\\Dormann et al. - 2008 - Components of Uncertainty in Species Distribution .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\UXSXAADE\\abstract.html:text/html}
}
@article{marmion_evaluation_2009,
title = {Evaluation of consensus methods in predictive species distribution modelling},
volume = {15},
issn = {1472-4642},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1472-4642.2008.00491.x/abstract},
doi = {10.1111/j.1472-4642.2008.00491.x},
abstract = {Aim Spatial modelling techniques are increasingly used in species distribution modelling. However, the implemented techniques differ in their modelling performance, and some consensus methods are needed to reduce the uncertainty of predictions. In this study, we tested the predictive accuracies of five consensus methods, namely Weighted Average (WA), Mean(All), Median(All), Median(PCA), and Best, for 28 threatened plant species. Location North-eastern Finland, Europe. Methods The spatial distributions of the plant species were forecasted using eight state-of-the-art single-modelling techniques providing an ensemble of predictions. The probability values of occurrence were then combined using five consensus algorithms. The predictive accuracies of the single-model and consensus methods were assessed by computing the area under the curve (AUC) of the receiver-operating characteristic plot. Results The mean AUC values varied between 0.697 (classification tree analysis) and 0.813 (random forest) for the single-models, and from 0.757 to 0.850 for the consensus methods. WA and Mean(All) consensus methods provided significantly more robust predictions than all the single-models and the other consensus methods. Main conclusions Consensus methods based on average function algorithms may increase significantly the accuracy of species distribution forecasts, and thus they show considerable promise for different conservation biological and biogeographical applications.},
language = {en},
number = {1},
urldate = {2017-08-14},
journal = {Diversity and Distributions},
author = {Marmion, Mathieu and Parviainen, Miia and Luoto, Miska and Heikkinen, Risto K and Thuiller, Wilfried},
month = jan,
year = {2009},
keywords = {Distribution modelling, ensemble, machine learning methods, model selection, predictive accuracy, regression and classification methods},
pages = {59--69},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\MX5TS5VI\\Marmion et al. - 2009 - Evaluation of consensus methods in predictive spec.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\GIZ3AQR8\\abstract.html:text/html}
}
@article{terribile_areas_2012,
title = {Areas of climate stability of species ranges in the {Brazilian} cerrado: {Disentangling} uncertainties through time},
volume = {10},
copyright = {Acesso Aberto},
shorttitle = {Areas of climate stability of species ranges in the brazilian cerrado},
url = {http://repositorio.bc.ufg.br/handle/ri/11014},
doi = {10.4322/natcon.2012.025},
abstract = {Recognizing the location of climatically stable areas in the future is subjected to uncertainties from ecological niche models,
climatic models, variation in species ranges responses, and from the climatic variation through time. Here, we proposed an
approach based on hierarchical ANOVA to reduce uncertainties and to identify climatically stable areas, working with Cerrado
tree species as a model organism. Ecological niche models were generated for 18 Cerrado tree species and their potential
distributions were projected into past and future. Analyses of the sources of uncertainties in ensembles hindcasts/forecasts
revealed that the time component was the most important source of variation, whereas the climatic models had the smallest
effect. The species responses to climate changes do not showed marked differences within each time period. By comparing
past and future predictions, a single continuous climatically stable area was identified, which should be considered as a potential
improvement for spatial prioritization for conservation.},
language = {eng},
number = {2},
journal = {Natureza \& Conservação},
author = {Terribile, Levi Carina and Lima-Ribeiro, Matheus Souza and Araújo, Miguel Bastos and Bizão, Nair and Collevatt, Rosane Garcia and Dobrovolski, Ricardo and Franco, Amanda Assis and Guilhaumon, François and Lima, Jacqueline de Souza and Murakami, Devanir Mitsuyuki and Nabout, João Carlos and Oliveira, Guilherme de and Oliveira, Leciane Karita de and Rabelo, Suelen Gonçalves and Rangel, Thiago Fernando and Simon, Lorena Mendes and Soares, Thannya Nascimento and Telles, Mariana Pires de Campos and Diniz Filho, José Alexandre Felizola},
month = nov,
year = {2012},
pages = {152--159},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\FL4Y7M3B\\Terribile et al. - 2012 - Areas of climate stability of species ranges in th.pdf:application/pdf}
}
@article{diniz-filho_ensemble_2010,
title = {Ensemble forecasting shifts in climatically suitable areas for {Tropidacris} cristata ({Orthoptera}: {Acridoidea}: {Romaleidae})},
volume = {3},
issn = {1752-4598},
shorttitle = {Ensemble forecasting shifts in climatically suitable areas for {Tropidacris} cristata ({Orthoptera}},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1752-4598.2010.00090.x/abstract},
doi = {10.1111/j.1752-4598.2010.00090.x},
abstract = {Abstract. 1. The effects of climate change on species’ ranges have been usually inferred using niche-based models creating bioclimatic envelopes that are projected into geographical space. Here, we apply an ensemble forecasting approach for niche models in the Neotropical grasshopper Tropidacris cristata (Acridoidea: Romaleidae). A novel protocol was used to partition and map the variation in modelled ranges due to niche models, Atmosphere-Ocean Global Circulation Models (AOGCM), and emission scenarios. 2. We used 112 records of T. cristata and four climatic variables to model the species’ niche using five niche models, four AOGCMs and two emission scenarios. Combinations of these effects (50 cross-validations for each of the 15 subsets of the environmental variables) were used to estimate and map the occurrence frequencies (EOF) across all analyses. A three-way anova was used to partition and map the sources of variation. 3. The projections for 2080 show that the range edges of the species are likely to remain approximately constant, but shifts in maximum EOF are forecasted. Suitable climatic conditions tend to disappear from central areas of Amazon, although this depends on the AOGCM and the niche model. Most of the variability around the mapped consensus projections came from using distinct niche models and AOGCMs. 4. Although our analyses are restricted to a single species, they provide new conceptual and methodological insights in the application of ensemble forecasting and variance partition approaches to understand the origins of uncertainty in studies assessing species responses to climate change in the tropics.},
language = {en},
number = {3},
urldate = {2017-08-14},
journal = {Insect Conservation and Diversity},
author = {Diniz-Filho, Jose Alexandre F. and Nabout, João Carlos and Bini, Luis Mauricio and Loyola, Rafael Dias and Rangel, Thiago Fernando and Nogues-Bravo, David and Araújo, Miguel B.},
month = aug,
year = {2010},
keywords = {Climate change, ensemble forecasting, niche models, Orthoptera, Tropidacris, variance partition},
pages = {213--221},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\55VFMJX3\\Diniz-Filho et al. - 2010 - Ensemble forecasting shifts in climatically suitab.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\2CSPTQLM\\abstract.html:text/html}
}
@article{araujo_ensemble_2007,
title = {Ensemble forecasting of species distributions},
volume = {22},
issn = {0169-5347},
url = {http://www.sciencedirect.com/science/article/pii/S016953470600303X},
doi = {10.1016/j.tree.2006.09.010},
abstract = {Concern over implications of climate change for biodiversity has led to the use of bioclimatic models to forecast the range shifts of species under future climate-change scenarios. Recent studies have demonstrated that projections by alternative models can be so variable as to compromise their usefulness for guiding policy decisions. Here, we advocate the use of multiple models within an ensemble forecasting framework and describe alternative approaches to the analysis of bioclimatic ensembles, including bounding box, consensus and probabilistic techniques. We argue that, although improved accuracy can be delivered through the traditional tasks of trying to build better models with improved data, more robust forecasts can also be achieved if ensemble forecasts are produced and analysed appropriately.},
number = {1},
urldate = {2017-08-14},
journal = {Trends in Ecology \& Evolution},
author = {Araújo, Miguel B. and New, Mark},
month = jan,
year = {2007},
pages = {42--47},
file = {ScienceDirect Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\KQSG67S2\\Araújo and New - 2007 - Ensemble forecasting of species distributions.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\IT7CRZSB\\S016953470600303X.html:text/html}
}
@article{buisson_uncertainty_2010,
title = {Uncertainty in ensemble forecasting of species distribution},
volume = {16},
issn = {1365-2486},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2009.02000.x/abstract},
doi = {10.1111/j.1365-2486.2009.02000.x},
abstract = {Species distribution modelling has been widely applied in order to assess the potential impacts of climate change on biodiversity. Many methodological decisions, taken during the modelling process and forecasts, may, however, lead to a large variability in the assessment of future impacts. Using measures of species range change and turnover, the potential impacts of climate change on French stream fish species and assemblages were evaluated. Our main focus was to quantify the uncertainty in the projections of these impacts arising from four sources of uncertainty: initial datasets (Data), statistical methods [species distribution models (SDM)], general circulation models (GCM), and gas emission scenarios (GES). Several modalities of the aforementioned uncertainty sources were combined in an ensemble forecasting framework resulting in 8400 different projections. The variance explained by each source was then extracted from this whole ensemble of projections. Overall, SDM contributed to the largest variation in projections, followed by GCM, whose contribution increased over time equalling almost the proportion of variance explained by SDM in 2080. Data and GES had little influence on the variability in projections. Future projections of range change were more consistent for species with a large geographical extent (i.e., distribution along latitudinal or stream gradients) or with restricted environmental requirements (i.e., small thermal or elevation ranges). Variability in projections of turnover was spatially structured at the scale of France, indicating that certain particular geographical areas should be considered with care when projecting the potential impacts of climate change. The results of this study, therefore, emphasized that particular attention should be paid to the use of predictions ensembles resulting from the application of several statistical methods and climate models. Moreover, forecasted impacts of climate change should always be provided with an assessment of their uncertainty, so that management and conservation decisions can be taken in the full knowledge of their reliability.},
language = {en},
number = {4},
urldate = {2017-08-14},
journal = {Global Change Biology},
author = {Buisson, Laëtitia and Thuiller, Wilfried and Casajus, Nicolas and Lek, Sovan and Grenouillet, Gaël},
month = apr,
year = {2010},
keywords = {climate change, uncertainty, ensemble forecasting, environmental gradient, spatial autocorrelation, species distribution},
pages = {1145--1157},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\P42XVABJ\\Buisson et al. - 2010 - Uncertainty in ensemble forecasting of species dis.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\9ZTRX53D\\abstract.html:text/html}
}
@article{diniz-filho_partitioning_2009,
title = {Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change},
volume = {32},
issn = {1600-0587},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0587.2009.06196.x/abstract},
doi = {10.1111/j.1600-0587.2009.06196.x},
abstract = {Forecasts of species range shifts under climate change are fraught with uncertainties and ensemble forecasting may provide a framework to deal with such uncertainties. Here, a novel approach to partition the variance among modeled attributes, such as richness or turnover, and map sources of uncertainty in ensembles of forecasts is presented. We model the distributions of 3837 New World birds and project them into 2080. We then quantify and map the relative contribution of different sources of uncertainty from alternative methods for niche modeling, general circulation models (AOGCM), and emission scenarios. The greatest source of uncertainty in forecasts of species range shifts arises from using alternative methods for niche modeling, followed by AOGCM, and their interaction. Our results concur with previous studies that discovered that projections from alternative models can be extremely varied, but we provide a new analytical framework to examine uncertainties in models by quantifying their importance and mapping their patterns.},
language = {en},
number = {6},
urldate = {2017-08-14},
journal = {Ecography},
author = {Diniz-Filho, José Alexandre F and Mauricio Bini, Luis and Fernando Rangel, Thiago and Loyola, Rafael D and Hof, Christian and Nogués-Bravo, David and Araújo, Miguel B},
month = dec,
year = {2009},
pages = {897--906},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\MC63GJUH\\Diniz-Filho et al. - 2009 - Partitioning and mapping uncertainties in ensemble.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\U8KANKUB\\abstract.html:text/html}
}
@article{pearson_model-based_2006,
title = {Model-based uncertainty in species range prediction},
volume = {33},
issn = {1365-2699},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2699.2006.01460.x/abstract},
doi = {10.1111/j.1365-2699.2006.01460.x},
abstract = {Aim Many attempts to predict the potential range of species rely on environmental niche (or ‘bioclimate envelope’) modelling, yet the effects of using different niche-based methodologies require further investigation. Here we investigate the impact that the choice of model can have on predictions, identify key reasons why model output may differ and discuss the implications that model uncertainty has for policy-guiding applications. Location The Western Cape of South Africa. Methods We applied nine of the most widely used modelling techniques to model potential distributions under current and predicted future climate for four species (including two subspecies) of Proteaceae. Each model was built using an identical set of five input variables and distribution data for 3996 sampled sites. We compare model predictions by testing agreement between observed and simulated distributions for the present day (using the area under the receiver operating characteristic curve (AUC) and kappa statistics) and by assessing consistency in predictions of range size changes under future climate (using cluster analysis). Results Our analyses show significant differences between predictions from different models, with predicted changes in range size by 2030 differing in both magnitude and direction (e.g. from 92\% loss to 322\% gain). We explain differences with reference to two characteristics of the modelling techniques: data input requirements (presence/absence vs. presence-only approaches) and assumptions made by each algorithm when extrapolating beyond the range of data used to build the model. The effects of these factors should be carefully considered when using this modelling approach to predict species ranges. Main conclusions We highlight an important source of uncertainty in assessments of the impacts of climate change on biodiversity and emphasize that model predictions should be interpreted in policy-guiding applications along with a full appreciation of uncertainty.},
language = {en},
number = {10},
urldate = {2017-08-14},
journal = {Journal of Biogeography},
author = {Pearson, Richard G and Thuiller, Wilfried and Araújo, Miguel B and Martinez-Meyer, Enrique and Brotons, Lluís and McClean, Colin and Miles, Lera and Segurado, Pedro and Dawson, Terence P and Lees, David C},
month = oct,
year = {2006},
keywords = {climate change, Bioclimate envelope modelling, biodiversity, Cape Flora, conservation biogeography, distribution modelling, environmental niche modelling, Proteaceae, South Africa, species biodiversity},
pages = {1704--1711},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\HSJSPS67\\Pearson et al. - 2006 - Model-based uncertainty in species range predictio.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\YB39ULAP\\abstract.html:text/html}
}
@article{lemes_accommodating_2013,
title = {Accommodating species climate-forced dispersal and uncertainties in spatial conservation planning},
volume = {8},
issn = {1932-6203},
url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054323},
doi = {10.1371/journal.pone.0054323},
abstract = {Abstract Spatial conservation prioritization should seek to anticipate climate change impacts on biodiversity and to mitigate these impacts through the development of dynamic conservation plans. Here, we defined spatial priorities for the conservation of amphibians inhabiting the Atlantic Forest Biodiversity Hotspot that overcome the likely impacts of climate change on the distribution of this imperiled fauna. First, we built ecological niche models (ENMs) for 431 amphibian species both for current time and for the mid-point of a 30-year period spanning 2071–2099 (i.e. 2080). For modeling species' niches, we combined six modeling methods and three different climate models. We also quantified and mapped model uncertainties. Our consensus models forecasted range shifts that culminate with high species richness in central and eastern Atlantic Forest, both for current time and for 2080. Most species had a significant range contraction (up to 72\%) and 12\% of species were projected to be regionally extinct. Most species would need to disperse because suitable climatic sites will change. Therefore, we identified a network of priority sites for conservation that minimizes the distance a given species would need to disperse because of changes in future habitat suitability (i.e. climate-forced dispersal) as well as uncertainties associated to ENMs. This network also maximized complementary species representation across currently established protected areas. Priority sites already include possible dispersal corridors linking current and future suitable habitats for amphibians. Although we used the a top-ranked Biodiversity Hotspot and amphibians as a case study for illustrating our approach, our study may help developing more effective conservation strategies under climate change, especially when applied at different spatial scales, geographic regions, and taxonomic groups.},
number = {1},
journal = {PLoS ONE},
author = {Lemes, Priscila and Dias Loyola, Rafael},
year = {2013},
keywords = {Climate change, Amphibians, Biodiversity, Conservation science, Ecological niches, Forest ecology, Forests, Species diversity},
pages = {e54323},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\LS2S6QAQ\\Lemes and Loyola - 2013 - Accommodating Species Climate-Forced Dispersal and.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\4FBZABC6\\article.html:text/html}
}
@article{collevatti_drawbacks_2013,
title = {Drawbacks to palaeodistribution modelling: {The} case of {South} {American} seasonally dry forests},
volume = {40},
issn = {1365-2699},
shorttitle = {Drawbacks to palaeodistribution modelling},
url = {http://onlinelibrary.wiley.com/doi/10.1111/jbi.12005/abstract},
doi = {10.1111/jbi.12005},
abstract = {Aim
Species distribution modelling (SDM) has increasingly been used to predict palaeodistributions at regional and global scales in order to understand the response of vegetation to climate change and to estimate palaeodistributions for the testing of biogeographical hypotheses. However, there are many sources of uncertainty in SDM that may restrict the ability of models to hindcast palaeo-distributions and provide a basis for hypothesis testing in molecular phylogenetics and phylogeographical studies.
Location
Seasonally dry forests (SDFs) in South America.
Methods
We addressed the problem of using palaeodistribution modelling for SDFs based on the projection of their current distribution into past environments (21 ka) using 11 methods for SDMs and five coupled atmosphere–ocean global circulation models (AOGCMs) for 16 species.
Results
We observed considerable uncertainty in the hindcasts, with the most important effects for AOGCM (median 12.2\%), species (median 15.6\%) and their interaction (median 13.6\%). The effects of AOGCMs were stronger in the Amazon region, whereas the species effect occurred primarily in the dry areas of central Brazil. The log-linear model detected significant effects of the three sources of variation and their interaction on the classification of each map in supporting alternative hypotheses. An expansion scenario combining the Pleistocene arc and Amazonian expansion, and Pennington's Amazonian expansion alone, were the most frequently supported palaeodistribution scenarios.
Main conclusions
As a basis for evaluating a given hypothesis, hindcast distributions must be used in direct association with other evidence, such as molecular variation and the fossil record. We propose an alternative framework concerning hypothesis testing that couples SDM and phylogeographical work, in which palaeoclimatic distributions and other sources of information, such as the pollen fossil record and coalescence modelling, must be weighted equally.},
language = {en},
number = {2},
urldate = {2017-08-14},
journal = {Journal of Biogeography},
author = {Collevatti, Rosane G and Terribile, Levi Carina and Oliveira, Guilherme de and Lima-Ribeiro, Matheus S and Nabout, João C and Rangel, Thiago F and Diniz-Filho, Jose Alexandre F.},
month = feb,
year = {2013},
keywords = {Cerrado biome, dry forests, palaeodistribution models, Pleistocene arc, Pleistocene refugia, Quaternary climatic change, South America, species distribution modelling},
pages = {345--358},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\9KMAZ3L8\\Collevatti et al. - 2013 - Drawbacks to palaeodistribution modelling the cas.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\FUBWDIUH\\abstract.html:text/html}
}
@article{abrahms_managing_2017,
title = {Managing biodiversity under climate change: {Challenges}, frameworks, and tools for adaptation},
volume = {26},
issn = {0960-3115, 1572-9710},
shorttitle = {Managing biodiversity under climate change},
url = {http://link.springer.com/10.1007/s10531-017-1362-4},
doi = {10.1007/s10531-017-1362-4},
language = {en},
number = {10},
urldate = {2017-08-14},
journal = {Biodiversity and Conservation},
author = {Abrahms, Briana and DiPietro, Deanne and Graffis, Andrea and Hollander, Allan},
month = sep,
year = {2017},
pages = {2277--2293},
file = {abrahms2017.pdf:C\:\\Users\\Marlon\\Zotero\\storage\\BET6LVZ6\\abrahms2017.pdf:application/pdf}
}
@article{nenzen_choice_2011,
title = {Choice of threshold alters projections of species range shifts under climate change},
volume = {222},
issn = {0304-3800},
url = {http://www.sciencedirect.com/science/article/pii/S0304380011003814},
doi = {10.1016/j.ecolmodel.2011.07.011},
abstract = {One of the least explored sources of algorithmic uncertainty in bioclimatic envelope models (BEM) is the selection of thresholds to transform modelled probabilities of occurrence (or indices of suitability) into binary predictions of species presence and absence. We investigate the impacts of such thresholds in the specific context of climate change. BEM for European tree species were fitted combining 9 climatic models and emissions scenarios, 7 modelling techniques, and 14 threshold-setting techniques. We quantified sources of uncertainty in projections of turnover, and found that the choice of the modelling technique explained most of the variability (39\%), while threshold choice explained 25\% of the variability in the results, and their interaction an additional 19\%. Choice of future climates explained 9\% of total variability among projections. Estimated species range shifts obtained by applying different thresholds and models were grouped by IUCN-based categories of threat. Thresholds had a large impact on the inferred risks of extinction, producing 1.7- to 9.9-fold differences in the proportions of species projected to become threatened by climate change. Results demonstrate that threshold selection has large – albeit often unappreciated – consequences for estimating species range shifts under climate change.},
number = {18},
urldate = {2017-08-14},
journal = {Ecological Modelling},
author = {Nenzén, H K and Araújo, M B},
month = sep,
year = {2011},
keywords = {Bioclimatic envelope modelling, Climate change, Species distribution, Thresholds, Uncertainty},
pages = {3346--3354},
file = {ScienceDirect Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\9CWZJHK6\\Nenzén and Araújo - 2011 - Choice of threshold alters projections of species .pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\WBKNRRAP\\S0304380011003814.html:text/html}
}
@article{foley_uncertainty_2010,
title = {Uncertainty in regional climate modelling: {A} review},
volume = {34},
issn = {0309-1333},
shorttitle = {Uncertainty in regional climate modelling},
url = {http://dx.doi.org/10.1177/0309133310375654},
doi = {10.1177/0309133310375654},
abstract = {For geographers engaged in activities such as environmental planning and natural resource management, regional climate models are becoming increasingly important as a source of information about the possible impacts of future climate change. However, in order to make informed adaptation decisions, the uncertainties associated with their output must be recognized and taken into account. In this paper, the cascade of uncertainty from emissions scenario to global model to regional climate model is explored. The initial part of the discussion focuses on uncertainties associated with human action, such as emissions of greenhouse gases, and the climate system’s response to increased greenhouse gas forcing, which includes climate sensitivity and feedbacks. In the second part of the discussion, uncertainties associated with climate modelling are explored with emphasis on the implications for regional scale analysis. Such uncertainties include parameterizations and resolutions, initial and boundary conditions inherited from the driving global model, intermodel variability and issues surrounding the validation or verification of models. The paper concludes with a critique of approaches employed to quantify or cater for uncertainties highlighting the strengths and limitations of such approaches.},
language = {en},
number = {5},
urldate = {2017-08-14},
journal = {Progress in Physical Geography},
author = {Foley, A M},
month = oct,
year = {2010},
pages = {647--670},
file = {SAGE PDF Full Text:C\:\\Users\\Marlon\\Zotero\\storage\\R3JBKUEE\\Foley - 2010 - Uncertainty in regional climate modelling A revie.pdf:application/pdf}
}
@article{synes_choice_2011,
title = {Choice of predictor variables as a source of uncertainty in continental-scale species distribution modelling under climate change},
volume = {20},
issn = {1466-8238},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1466-8238.2010.00635.x/abstract},
doi = {10.1111/j.1466-8238.2010.00635.x},
abstract = {Aim Species distribution modelling is commonly used to guide future conservation policies in the light of potential climate change. However, arbitrary decisions during the model-building process can affect predictions and contribute to uncertainty about where suitable climate space will exist. For many species, the key climatic factors limiting distributions are unknown. This paper assesses the uncertainty generated by using different climate predictor variable sets for modelling the impacts of climate change. Location Europe, 10° W to 50° E and 30° N to 60° N. Methods Using 1453 presence pixels at 30 arcsec resolution for the great bustard (Otis tarda), predictions of future distribution were made based on two emissions scenarios, three general climate models and 26 sets of predictor variables. Twenty-six current models were created, and 156 for both 2050 and 2080. Map comparison techniques were used to compare predictions in terms of the quantity and the location of presences (map comparison kappa, MCK) and using a range change index (RCI). Generalized linear models (GLMs) were used to partition explained deviance in MCK and RCI among sources of uncertainty. Results The 26 different variable sets achieved high values of AUC (area under the receiver operating characteristic curve) and yet introduced substantial variation into maps of current distribution. Differences between maps were even greater when distributions were projected into the future. Some 64–78\% of the variation between future maps was attributable to choice of predictor variable set alone. Choice of general climate model and emissions scenario contributed a maximum of 15\% variation and their order of importance differed for MCK and RCI. Main conclusions Generalized variable sets produce an unmanageable level of uncertainty in species distribution models which cannot be ignored. The use of sound ecological theory and statistical methods to check predictor variables can reduce this uncertainty, but our knowledge of species may be too limited to make more than arbitrary choices. When all sources of modelling uncertainty are considered together, it is doubtful whether ensemble methods offer an adequate solution. Future studies should explicitly acknowledge uncertainty due to arbitrary choices in the model-building process and develop ways to convey the results to decision-makers.},
language = {en},
number = {6},
urldate = {2017-08-14},
journal = {Global Ecology and Biogeography},
author = {Synes, Nicholas W and Osborne, Patrick E},
month = nov,
year = {2011},
keywords = {climate change, uncertainty, Bioclimatic variables, equifinality, Europe, map comparison techniques, predictor variables, species distribution models},
pages = {904--914},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\EEMJ3P96\\Synes and Osborne - 2011 - Choice of predictor variables as a source of uncer.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\HLRP4524\\abstract\;jsessionid=036FE51000FCB93ACFCD160561F1F550.html:text/html}
}
@article{garcia_exploring_2012,
title = {Exploring consensus in 21st century projections of climatically suitable areas for {African} vertebrates},
volume = {18},
issn = {1365-2486},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2011.02605.x/abstract},
doi = {10.1111/j.1365-2486.2011.02605.x},
abstract = {Africa is predicted to be highly vulnerable to 21st century climatic changes. Assessing the impacts of these changes on Africa's biodiversity is, however, plagued by uncertainties, and markedly different results can be obtained from alternative bioclimatic envelope models or future climate projections. Using an ensemble forecasting framework, we examine projections of future shifts in climatic suitability, and their methodological uncertainties, for over 2500 species of mammals, birds, amphibians and snakes in sub-Saharan Africa. To summarize a priori the variability in the ensemble of 17 general circulation models, we introduce a consensus methodology that combines co-varying models. Thus, we quantify and map the relative contribution to uncertainty of seven bioclimatic envelope models, three multi-model climate projections and three emissions scenarios, and explore the resulting variability in species turnover estimates. We show that bioclimatic envelope models contribute most to variability, particularly in projected novel climatic conditions over Sahelian and southern Saharan Africa. To summarize agreements among projections from the bioclimatic envelope models we compare five consensus methodologies, which generally increase or retain projection accuracy and provide consistent estimates of species turnover. Variability from emissions scenarios increases towards late-century and affects southern regions of high species turnover centred in arid Namibia. Twofold differences in median species turnover across the study area emerge among alternative climate projections and emissions scenarios. Our ensemble of projections underscores the potential bias when using a single algorithm or climate projection for Africa, and provides a cautious first approximation of the potential exposure of sub-Saharan African vertebrates to climatic changes. The future use and further development of bioclimatic envelope modelling will hinge on the interpretation of results in the light of methodological as well as biological uncertainties. Here, we provide a framework to address methodological uncertainties and contextualize results.},
language = {en},
number = {4},
urldate = {2017-08-14},
journal = {Global Change Biology},
author = {Garcia, Raquel A and Burgess, Neil D and Cabeza, Mar and Rahbek, Carsten and Araújo, Miguel B},
month = apr,
year = {2012},
keywords = {climate change, uncertainty, ensemble forecasting, Africa, bioclimatic envelope model, consensus, nonanalogue climate, vertebrates},
pages = {1253--1269},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\9PNU852W\\Garcia et al. - 2012 - Exploring consensus in 21st century projections of.pdf:application/pdf;Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\XSNW93DM\\Garcia et al. - 2012 - Exploring consensus in 21st century projections of.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\7W7F33C4\\abstract.html:text/html;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\KYGE7T4T\\abstract.html:text/html}
}
@article{peterson_ecological_2008,
title = {Ecological niche conservatism and {Pleistocene} refugia in the {Thrush}-like {Mourner}, {Schiffornis} sp., in the {Neotropics}},
volume = {62},
issn = {1558-5646},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1558-5646.2007.00258.x/abstract},
doi = {10.1111/j.1558-5646.2007.00258.x},
abstract = {Recent studies have increasingly implicated deep (pre-Pleistocene) events as key in the vertebrate speciation, downplaying the importance of more recent (Pleistocene) climatic shifts. This work, however, has been based almost exclusively on evidence from molecular clock inferences of splitting dates. We present an independent perspective on this question, using ecological niche model reconstructions of Pleistocene Last Glacial Maximum (LGM) potential distributions for the Thrush-like Mourner (Schiffornis turdina) complex in the neotropics. LGM distributional patterns reconstructed from the niche models relate significantly to phylogroups identified in previous molecular systematic analyses. As such, patterns of differentiation and speciation in this complex are consistent with Pleistocene climate and geography, although further testing will be necessary to establish dates of origin firmly and unambiguously.},
language = {en},
number = {1},
urldate = {2017-08-14},
journal = {Evolution},
author = {Peterson, A Townsend and Nyári, Árpád S},
month = jan,
year = {2008},
keywords = {Climate, ecological niche, Last Glacial Maximum, Pleistocene, speciation},
pages = {173--183},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\ETU2X5P6\\Peterson and Nyári - 2008 - Ecological Niche Conservatism and Pleistocene Refu.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\EZW3AUF3\\abstract.html:text/html}
}
@article{thomas_framework_2011,
title = {A framework for assessing threats and benefits to species responding to climate change},
volume = {2},
issn = {2041-210X},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.2041-210X.2010.00065.x/abstract},
doi = {10.1111/j.2041-210X.2010.00065.x},
abstract = {1. Current national and international frameworks for assessing threats to species have not been developed in the context of climate change, and are not framed in a way that recognises new opportunities that arise from climate change. 2. The framework presented here separates the threats and benefits of climate change for individual species. Threat is assessed by the level of climate-related decline within a species’ recently occupied (e.g. pre-1970s) historical distribution, based on observed (e.g. repeat census) and/or projected changes (e.g. modelled bioclimate space). Benefits are assessed in terms of observed and/or projected increases outside the recently occupied historical range. 3. Exacerbating factors (e.g. small population size, low dispersal capacity) that might increase levels of threat or limit expansion in response to climate change are taken into consideration within the framework. Protocols are also used to identify levels of confidence (and hence research and/or monitoring needs) in each species’ assessment. 4. Observed and projected changes are combined into single measures of expected decline and increase, together with associated measures of confidence. We weight risk classifications towards information that is most certain. Each species is then placed in one of six categories (high risk, medium risk, limited impact, equivalent risks \& benefits, medium benefit, high benefit) reflecting whether climate change is expected (or has been observed) to cause net declines or increases in the region considered, based on the balance of benefits and threats. 5. We illustrate the feasibility of using the framework by applying it to (i) all British butterflies (N = 58 species) and (ii) an additional sample of British species: 18 species of plants, bats, birds and beetles. 6. Synthesis. Our framework assesses net declines and increases associated with climate change, for individual species. It could be applied at any scale (regional, continental or global distributions of species), and complements existing conservation assessment protocols such as red-listing. Using observed and projected population and/or range data, it is feasible to carry out systematic conservation status assessments that inform the development of monitoring, adaptation measures and conservation management planning for species that are responding to climate change.},
language = {en},
number = {2},
urldate = {2017-08-14},
journal = {Methods in Ecology and Evolution},
author = {Thomas, Chris D and Hill, Jane K and Anderson, Barbara J and Bailey, Sallie and Beale, Colin M and Bradbury, Richard B and Bulman, Caroline R and Crick, Humphrey Q P and Eigenbrod, Felix and Griffiths, Hannah M and Kunin, William E and Oliver, Tom H and Walmsley, Clive A and Watts, Kevin and Worsfold, Nicholas T and Yardley, Tim},
month = apr,
year = {2011},
keywords = {biodiversity, climate envelope, distribution, global warming, IUCN, policy, risk assessment, species conservation},
pages = {125--142},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\5F9GL7EL\\Thomas et al. - 2011 - A framework for assessing threats and benefits to .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\9G278FCL\\abstract.html:text/html}
}
@article{zhu_consensus_2017,
title = {Do consensus models outperform individual models? {Transferability} evaluations of diverse modeling approaches for an invasive moth},
issn = {1387-3547, 1573-1464},
shorttitle = {Do consensus models outperform individual models?},
url = {https://link.springer.com/article/10.1007/s10530-017-1460-y},
doi = {10.1007/s10530-017-1460-y},
abstract = {Transferability is key to many of the most novel and interesting applications of ecological niche models, such that maximizing predictive power of model transfers is crucial. Here, we explored consensus methods as a means of reducing uncertainty and improving model transferability in anticipating the potential distribution of an invasive moth (Hyphantria cunea). Individual native-range niche models were calibrated using seven modelling algorithms and four environmental datasets, representing different degrees of dimensionality, spatial correlation, and ecological relevance, and showing different degrees of climate niche expansion. Four consensus methods were used to combine individual niche models; we assessed transferability of consensus models and the individual models used to generate them. The results suggested that ideal criteria for environmental variable selection vary among algorithms, as different algorithms showed different sensitivities to spatial dimensionality and correlation. Consensus models reflected the central tendency of individual models, and reduced uncertainty by consolidating consistency across individual models, but did not outperform individual models. The question of whether interpolation accuracy comes at the expense of transferability suggests caution in planning methodologies for processing niche models to predict invasive potential. These explorations outline approaches by which to reduce uncertainty and improve niche model transferability with vital implications for ensemble forecasting.},
language = {en},
journal = {Biological Invasions},
author = {Zhu, Geng-Ping and Peterson, A Townsend},
month = may,
year = {2017},
pages = {1--14},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\YEPZRGD7\\Zhu and Peterson - 2017 - Do consensus models outperform individual models .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\FJ8E4JKM\\s10530-017-1460-y.html:text/html}
}
@book{greenacre_multivariate_2014,
title = {Multivariate {Analysis} of {Ecological} {Data}},
isbn = {978-84-92937-50-9},
abstract = {La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales.Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales.El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.},
language = {en},
publisher = {Fundacion BBVA},
author = {Greenacre, Michael and Primicerio, Raul},
month = jan,
year = {2014},
note = {Google-Books-ID: 0H6IAgAAQBAJ},
file = {DE_2013_multivariate.pdf:C\:\\Users\\Marlon\\Zotero\\storage\\6SKPMPN6\\DE_2013_multivariate.pdf:application/pdf}
}
@article{gould_tool_2014,
title = {A tool for simulating and communicating uncertainty when modelling species distributions under future climates},
volume = {4},
issn = {2045-7758},
url = {http://onlinelibrary.wiley.com/doi/10.1002/ece3.1319/abstract},
doi = {10.1002/ece3.1319},
abstract = {* Tools for exploring and communicating the impact of uncertainty on spatial prediction are urgently needed, particularly when projecting species distributions to future conditions.
* We provide a tool for simulating uncertainty, focusing on uncertainty due to data quality. We illustrate the use of the tool using a Tasmanian endemic species as a case study. Our simulations provide probabilistic, spatially explicit illustrations of the impact of uncertainty on model projections. We also illustrate differences in model projections using six different global climate models and two contrasting emissions scenarios.
* Our case study results illustrate how different sources of uncertainty have different impacts on model output and how the geographic distribution of uncertainty can vary.
* Synthesis and applications: We provide a conceptual framework for understanding sources of uncertainty based on a review of potential sources of uncertainty in species distribution modelling; a tool for simulating uncertainty in species distribution models; and protocols for dealing with uncertainty due to climate models and emissions scenarios. Our tool provides a step forward in understanding and communicating the impacts of uncertainty on species distribution models under future climates which will be particularly helpful for informing discussions between researchers, policy makers, and conservation practitioners.},
language = {en},
number = {24},
urldate = {2017-08-26},
journal = {Ecology and Evolution},
author = {Gould, Susan F and Beeton, Nicholas J and Harris, Rebecca M B and Hutchinson, Michael F and Lechner, Alex M and Porfirio, Luciana L and Mackey, Brendan G},
month = dec,
year = {2014},
keywords = {species distribution model, Climate change, MaxEnt, measurement error, simulation, spatial ecology, spatial prediction},
pages = {4798--4811},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\CD4UGCAA\\Gould et al. - 2014 - A tool for simulating and communicating uncertaint.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\MBMTT2RU\\abstract\;jsessionid=6887BB4E53B60300AB1C7E7739C765F7.html:text/html}
}
@article{torres-porras_large_2017,
title = {Large and medium-sized mammals of {Buenaventura} {Reserve}, southwestern {Ecuador}},
volume = {13},
copyright = {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND)},
url = {https://www.researchgate.net/profile/Marlon_E_Cobos/publication/318404545_Large_and_medium-sized_mammals_of_Buenaventura_Reserve_southwestern_Ecuador/links/5967ae270f7e9b8091858878/Large-and-medium-sized-mammals-of-Buenaventura-Reserve-southwestern-Ecuador.pdf},
number = {4},
urldate = {2017-08-26},
journal = {Check List},
author = {Torres-Porras, Jeronimo and Cobos, Marlon E and Seoane, José Manuel and Aguirre, Nikolay},
year = {2017},
pages = {35--45},
file = {[PDF] from researchgate.net:C\:\\Users\\Marlon\\Zotero\\storage\\MZBXBUUV\\Torres-Porras et al. - 2017 - Large and medium-sized mammals of Buenaventura Res.pdf:application/pdf}
}
@article{nunez-penichet_distribucion_2016,
title = {Distribución potencial del género {Omphalea} ({Euphorbiaceae}) en {Cuba}: {Aproximación} a su distribución real},
volume = {37},
copyright = {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND)},
shorttitle = {Distribución potencial del género {Omphalea} ({Euphorbiaceae}) en {Cuba}},
url = {http://www.rjbn.uh.cu/index.php/RJBN/article/view/216/0},
urldate = {2017-08-26},
journal = {Revista del Jardín Botánico Nacional},
author = {Nuñez-Penichet, Claudia and Cobos, Marlon E and Gutiérrez, Jorge E and Barro, Alejandro},
year = {2016},
pages = {165--175},
file = {[PDF] from uh.cu:C\:\\Users\\Marlon\\Zotero\\storage\\Y2QMFPA6\\Nuñez-Penichet et al. - 2016 - Distribución potencial del género Omphalea (Euphor.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\PCM85RM2\\0.html:text/html}
}
@article{cobos_recent_2016,
title = {Recent and future threats to the {Endangered} {Cuban} toad {Peltophryne} longinasus: {Potential} additive impacts of climate change and habitat loss},
copyright = {All rights reserved},
issn = {0030-6053, 1365-3008},
shorttitle = {Recent and future threats to the {Endangered} {Cuban} toad {\textless}span class="italic"{\textgreater}{Peltophryne} longinasus{\textless}/span{\textgreater}},
url = {https://www.cambridge.org/core/journals/oryx/article/recent-and-future-threats-to-the-endangered-cuban-toad-peltophryne-longinasus-potential-additive-impacts-of-climate-change-and-habitat-loss/8161889CD16F4A764432A1C67B72EDBE},
doi = {10.1017/S0030605316000612},
abstract = {Abstract
Habitat loss and climate change are major threats to amphibian species worldwide. We combined niche modelling under various climatic scenarios with analysis of habitat loss and the appropriateness of Cuban protected areas to identify major risk zones for the Endangered Cuban toad Peltophryne longinasus. Four subspecies with disjunct distributions associated with mountain forests are recognized. Our results suggest that the western subspecies, P. longinasus longinasus and P. longinasus cajalbanensis, are at risk from global warming, habitat degradation and potential additive effects. Peltophryne longinasus dunni, in central Cuba, has the lowest threat level related to climate change and habitat loss but could become increasingly threatened by the presence of the infectious disease chytridiomycosis. The eastern subspecies, P. longinasus ramsdeni, faces moderate impacts of climate change and habitat loss; however, low opportunity of migration to new areas and population decline justify a high threatened status for this subspecies. Our results predict minor temperature increases and precipitation decreases in the future. Nevertheless, at the biological level these changes could generate variations in species physiology, vocal behaviour and prey availability, and could probably increase the risk of predation. In Cuba protected areas have contributed to avoiding excessive forest loss but the potential impact of climate change was not considered in their original design. Our findings confirm that all subspecies of P. longinasus are threatened but management measures should be tailored according to the various predicted impacts.},
urldate = {2017-08-26},
journal = {Oryx},
author = {Cobos, Marlon E and Alonso Bosch, Roberto},
month = oct,
year = {2016},
keywords = {climate change, /span\>, \>, \<, Amphibian decline, Bufonidae, forest cover loss, habitat suitability models, italic\&\#39, Peltophryne\<, protected areas, span class=\&\#39},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\CSH7QD7J\\Cobos and Bosch - 2016 - Recent and future threats to the Endangered Cuban .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\MDXWW6PW\\8161889CD16F4A764432A1C67B72EDBE.html:text/html}
}
@article{cobos_alisis_2016,
title = {Análisis multitemporal del Índice {Normalizado} de {Diferencia} de {Vegetación} ({NDVI}) en {Cuba}},
volume = {37},
url = {http://www.rjbn.uh.cu/index.php/RJBN/article/viewFile/212/206},
urldate = {2017-08-26},
journal = {Revista del Jardín Botánico Nacional},
author = {Cobos, Marlon E and Cruz, Daryl D and Hernández, Majela},
year = {2016},
pages = {15--18},
file = {[PDF] from uh.cu:C\:\\Users\\Marlon\\Zotero\\storage\\5QEEC5BU\\Cobos et al. - 2016 - Análisis multitemporal del Índice Normalizado de D.pdf:application/pdf}
}
@article{alvarado-serrano_ecological_2014,
title = {Ecological niche models in phylogeographic studies: {Applications}, advances and precautions},
volume = {14},
issn = {1755-0998},
shorttitle = {Ecological niche models in phylogeographic studies},
url = {http://onlinelibrary.wiley.com/doi/10.1111/1755-0998.12184/abstract},
doi = {10.1111/1755-0998.12184},
abstract = {The increased availability of spatial data and methodological developments in species distribution modelling has lead to concurrent advances in phylogeography, broadening the scope of questions studied, as well as providing unprecedented insights. Given the species-specific nature of the information provided by ecological niche models (ENMs), whether it is on the environmental tolerances of species or their estimated distribution, today or in the past, it is perhaps not surprising that ENMs have rapidly become a common tool in phylogeographic analysis. Such information is essential to phylogeographic tests that provide important biological insights. Here, we provide an overview of the different applications of ENMs in phylogeographic studies, detailing specific studies and highlighting general limitations and challenges with each application. Given that the full potential of integrating ENMs into phylogeographic cannot be realized unless the ENMs themselves are carefully applied, we provide a summary of best practices with using ENMs. Lastly, we describe some recent advances in how quantitative information from ENMs can be integrated into genetic analyses, illustrating their potential use (and key concerns with such implementations), as well as promising areas for future development.},
language = {en},
number = {2},
urldate = {2017-08-28},
journal = {Molecular Ecology Resources},
author = {Alvarado-Serrano, Diego F. and Knowles, L. Lacey},
month = mar,
year = {2014},
keywords = {coalescent modelling, ecological niche models, phylogeography},
pages = {233--248},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\TRZU8BFV\\Alvarado-Serrano and Knowles - 2014 - Ecological niche models in phylogeographic studies.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\4CNSAQWR\\abstract\;jsessionid=F95340B60AFBD6BD3A4895D4CEB27F61.html:text/html}
}
@article{hertzog_field_2014,
title = {Field validation shows bias-corrected pseudo-absence selection is the best method for predictive species-distribution modelling},
volume = {20},
issn = {1472-4642},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ddi.12249/abstract},
doi = {10.1111/ddi.12249},
abstract = {Aim
To determine the performance of different pseudo-absence selection strategies on the prediction of species-distribution models after 30 years of regional climatic and land use changes.
Location
Continental France and the Iberian Peninsula.
Methods
In this study, we used a large database of Coprophagous Scarabaeidae beetle records collected between 1970 and 1980 in continental France and the Iberian Peninsula to assess the relative performance of different modelling methods in predicting species distributions using current climate and land use information. We used maxent with standard settings and boosted regression trees with three different approaches to generate pseudo-absences. We used historical data to model species distribution and then projected the models into the present. Each method's performance was then assessed by specific field sampling conducted at 20 different sites.
Results
Field validation demonstrated that model predictions were more accurate when pseudo-absence data were selected from a sampling bias grid and that model evaluations based on test datasets can lead to false conclusions if not correctly calibrated. The study also demonstrated that the method in which pseudo-absences are dealt with has a major impact on ecological conclusions.
Main conclusion
Correcting for spatial bias in collections datasets is of great importance for predicting future trends in species distributions. Uncorrected models showed a strong bias in their predicted species richness patterns.},
language = {en},
number = {12},
urldate = {2017-08-28},
journal = {Diversity and Distributions},
author = {Hertzog, Lionel R. and Besnard, Aurélien and Jay-Robert, Pierre},
month = dec,
year = {2014},
keywords = {MaxEnt, Boosted regression trees, climatic and land use changes, presence-only dataset, sampling bias, scarabaeidae},
pages = {1403--1413},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\47UWAAZA\\Hertzog et al. - 2014 - Field validation shows bias-corrected pseudo-absen.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\DEWYEW7X\\abstract.html:text/html}
}
@article{fourcade_mapping_2014,
title = {Mapping species distributions with maxent using a geographically biased sample of presence data: {A} performance assessment of methods for correcting sampling bias},
volume = {9},
issn = {1932-6203},
shorttitle = {Mapping {Species} {Distributions} with {MAXENT} {Using} a {Geographically} {Biased} {Sample} of {Presence} {Data}},
url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0097122},
doi = {10.1371/journal.pone.0097122},
abstract = {MAXENT is now a common species distribution modeling (SDM) tool used by conservation practitioners for predicting the distribution of a species from a set of records and environmental predictors. However, datasets of species occurrence used to train the model are often biased in the geographical space because of unequal sampling effort across the study area. This bias may be a source of strong inaccuracy in the resulting model and could lead to incorrect predictions. Although a number of sampling bias correction methods have been proposed, there is no consensual guideline to account for it. We compared here the performance of five methods of bias correction on three datasets of species occurrence: one “virtual” derived from a land cover map, and two actual datasets for a turtle (Chrysemys picta) and a salamander (Plethodon cylindraceus). We subjected these datasets to four types of sampling biases corresponding to potential types of empirical biases. We applied five correction methods to the biased samples and compared the outputs of distribution models to unbiased datasets to assess the overall correction performance of each method. The results revealed that the ability of methods to correct the initial sampling bias varied greatly depending on bias type, bias intensity and species. However, the simple systematic sampling of records consistently ranked among the best performing across the range of conditions tested, whereas other methods performed more poorly in most cases. The strong effect of initial conditions on correction performance highlights the need for further research to develop a step-by-step guideline to account for sampling bias. However, this method seems to be the most efficient in correcting sampling bias and should be advised in most cases.},
number = {5},
urldate = {2017-08-28},
journal = {PLoS ONE},
author = {Fourcade, Yoan and Engler, Jan O and Rödder, Dennis and Secondi, Jean},
month = may,
year = {2014},
keywords = {Biodiversity, Conservation science, Ecological niches, Biogeography, Conservation biology, Environmental geography, Geographic distribution, Probability distribution},
pages = {e97122},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\BVRGDL6H\\Fourcade et al. - 2014 - Mapping Species Distributions with MAXENT Using a .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\5YHKD6IR\\article.html:text/html}
}
@article{pollock_understanding_2014,
title = {Understanding co-occurrence by modelling species simultaneously with a {Joint} {Species} {Distribution} {Model} ({JSDM})},
volume = {5},
issn = {2041-210X},
url = {http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12180/abstract},
doi = {10.1111/2041-210X.12180},
abstract = {* A primary goal of ecology is to understand the fundamental processes underlying the geographic distributions of species. Two major strands of ecology – habitat modelling and community ecology – approach this problem differently. Habitat modellers often use species distribution models (SDMs) to quantify the relationship between species’ and their environments without considering potential biotic interactions. Community ecologists, on the other hand, tend to focus on biotic interactions and, in observational studies, use co-occurrence patterns to identify ecological processes. Here, we describe a joint species distribution model (JSDM) that integrates these distinct observational approaches by incorporating species co-occurrence data into a SDM.
* JSDMs estimate distributions of multiple species simultaneously and allow decomposition of species co-occurrence patterns into components describing shared environmental responses and residual patterns of co-occurrence. We provide a general description of the model, a tutorial and code for fitting the model in R. We demonstrate this modelling approach using two case studies: frogs and eucalypt trees in Victoria, Australia.
* Overall, shared environmental correlations were stronger than residual correlations for both frogs and eucalypts, but there were cases of strong residual correlation. Frog species generally had positive residual correlations, possibly due to the fact these species occurred in similar habitats that were not fully described by the environmental variables included in the JSDM. Eucalypt species that interbreed had similar environmental responses but had negative residual co-occurrence. One explanation is that interbreeding species may not form stable assemblages despite having similar environmental affinities.
* Environmental and residual correlations estimated from JSDMs can help indicate whether co-occurrence is driven by shared environmental responses or other ecological or evolutionary process (e.g. biotic interactions), or if important predictor variables are missing. JSDMs take into account the fact that distributions of species might be related to each other and thus overcome a major limitation of modelling species distributions independently.},
language = {en},
number = {5},
urldate = {2017-08-28},
journal = {Methods in Ecology and Evolution},
author = {Pollock, Laura J. and Tingley, Reid and Morris, William K. and Golding, Nick and O'Hara, Robert B. and Parris, Kirsten M. and Vesk, Peter A. and McCarthy, Michael A.},
month = may,
year = {2014},
keywords = {amphibians, biotic interactions, community assembly, correlated residuals, Eucalyptus, frogs, species covariance},
pages = {397--406},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\QPUPBD8W\\Pollock et al. - 2014 - Understanding co-occurrence by modelling species s.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\HIUS3WWW\\abstract.html:text/html}
}
@article{de_frenne_latitudinal_2013,
title = {Latitudinal gradients as natural laboratories to infer species' responses to temperature},
volume = {101},
issn = {1365-2745},
url = {http://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12074/abstract},
doi = {10.1111/1365-2745.12074},
abstract = {* Macroclimatic variation along latitudinal gradients provides an excellent natural laboratory to investigate the role of temperature and the potential impacts of climate warming on terrestrial organisms.
* Here, we review the use of latitudinal gradients for ecological climate change research, in comparison with altitudinal gradients and experimental warming, and illustrate their use and caveats with a meta-analysis of latitudinal intraspecific variation in important life-history traits of vascular plants.
* We first provide an overview of latitudinal patterns in temperature and other abiotic and biotic environmental variables in terrestrial ecosystems. We then assess the latitudinal intraspecific variation present in five key life-history traits [plant height, specific leaf area (SLA), foliar nitrogen:phosphorus (N:P) stoichiometry, seed mass and root:shoot (R:S) ratio] in natural populations or common garden experiments across a total of 98 plant species.
* Intraspecific leaf N:P ratio and seed mass significantly decreased with latitude in natural populations. Conversely, the plant height decreased and SLA increased significantly with latitude of population origin in common garden experiments. However, less than a third of the investigated latitudinal transect studies also formally disentangled the effects of temperature from other environmental drivers which potentially hampers the translation from latitudinal effects into a temperature signal.
* Synthesis. Latitudinal gradients provide a methodological set-up to overcome the drawbacks of other observational and experimental warming methods. Our synthesis indicates that many life-history traits of plants vary with latitude but the translation of latitudinal clines into responses to temperature is a crucial step. Therefore, especially adaptive differentiation of populations and confounding environmental factors other than temperature need to be considered. More generally, integrated approaches of observational studies along temperature gradients, experimental methods and common garden experiments increasingly emerge as the way forward to further our understanding of species and community responses to climate warming.},
language = {en},
number = {3},
urldate = {2017-08-28},
journal = {Journal of Ecology},
author = {De Frenne, Pieter and Graae, Bente J. and Rodríguez-Sánchez, Francisco and Kolb, Annette and Chabrerie, Olivier and Decocq, Guillaume and De Kort, Hanne and De Schrijver, An and Diekmann, Martin and Eriksson, Ove and Gruwez, Robert and Hermy, Martin and Lenoir, Jonathan and Plue, Jan and Coomes, David A. and Verheyen, Kris},
month = may,
year = {2013},
keywords = {climate change, global warming, altitudinal gradients, common garden experiments, experimental warming, functional life-history traits, latitude, plant–climate interactions, transplant experiments},
pages = {784--795},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\LYGUSTEV\\De Frenne et al. - 2013 - Latitudinal gradients as natural laboratories to i.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\RMAB8RD3\\abstract.html:text/html}
}
@article{phillips_opening_2017,
title = {Opening the black box: {An} open-source release of {Maxent}},
volume = {40},
issn = {1600-0587},
shorttitle = {Opening the black box},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ecog.03049/abstract},
doi = {10.1111/ecog.03049},
abstract = {This software note announces a new open-source release of the Maxent software for modeling species distributions from occurrence records and environmental data, and describes a new R package for fitting such models. The new release (ver. 3.4.0) will be hosted online by the American Museum of Natural History, along with future versions. It contains small functional changes, most notably use of a complementary log-log (cloglog) transform to produce an estimate of occurrence probability. The cloglog transform derives from the recently-published interpretation of Maxent as an inhomogeneous Poisson process (IPP), giving it a stronger theoretical justification than the logistic transform which it replaces by default. In addition, the new R package, maxnet, fits Maxent models using the glmnet package for regularized generalized linear models. We discuss the implications of the IPP formulation in terms of model inputs and outputs, treating occurrence records as points rather than grid cells and interpreting the exponential Maxent model (raw output) as as an estimate of relative abundance. With these two open-source developments, we invite others to freely use and contribute to the software.},
language = {en},
number = {7},
urldate = {2017-08-28},
journal = {Ecography},
author = {Phillips, Steven J. and Anderson, Robert P. and Dudík, Miroslav and Schapire, Robert E. and Blair, Mary E.},
month = jul,
year = {2017},
pages = {887--893},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\FMA8SXD6\\Phillips et al. - 2017 - Opening the black box an open-source release of M.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\WLJSU7HM\\abstract.html:text/html}
}
@article{galante_challenge_2017,
title = {The challenge of modeling niches and distributions for data-poor species: a comprehensive approach to model complexity},
volume = {40},
issn = {1600-0587},
shorttitle = {The challenge of modeling niches and distributions for data-poor species},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ecog.02909/abstract},
doi = {10.1111/ecog.02909},
abstract = {Models of species ecological niches and geographic distributions now represent a widely used tool in ecology, evolution, and biogeography. However, the very common situation of species with few available occurrence localities presents major challenges for such modeling techniques, in particular regarding model complexity and evaluation. Here, we summarize the state of the field regarding these issues and provide a worked example using the technique Maxent for a small mammal endemic to Madagascar (the nesomyine rodent Eliurus majori). Two relevant model-selection approaches exist in the literature (information criteria, specifically AICc; and performance predicting withheld data, via a jackknife), but AICc is not strictly applicable to machine-learning algorithms like Maxent. We compare models chosen under each selection approach with those corresponding to Maxent default settings, both with and without spatial filtering of occurrence records to reduce the effects of sampling bias. Both selection approaches chose simpler models than those made using default settings. Furthermore, the approaches converged on a similar answer when sampling bias was taken into account, but differed markedly with the unfiltered occurrence data. Specifically, for that dataset, the models selected by AICc had substantially fewer parameters than those identified by performance on withheld data. Based on our knowledge of the study species, models chosen under both AICc and withheld-data-selection showed higher ecological plausibility when combined with spatial filtering. The results for this species intimate that AICc may consistently select models with fewer parameters and be more robust to sampling bias. To test these hypotheses and reach general conclusions, comprehensive research should be undertaken with a wide variety of real and simulated species. Meanwhile, we recommend that researchers assess the critical yet underappreciated issue of model complexity both via information criteria and performance on withheld data, comparing the results between the two approaches and taking into account ecological plausibility.},
language = {en},
urldate = {2017-08-29},
journal = {Ecography},
author = {Galante, Peter J. and Alade, Babatunde and Muscarella, Robert and Jansa, Sharon A. and Goodman, Steven M. and Anderson, Robert P.},
month = aug,
year = {2017},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\NCKKMITD\\Galante et al. - 2017 - The challenge of modeling niches and distributions.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\HPJ2G2GF\\abstract.html:text/html}
}
@article{pimm_biodiversity_2014,
title = {The biodiversity of species and their rates of extinction, distribution, and protection},
volume = {344},
copyright = {Copyright © 2014, American Association for the Advancement of Science},
issn = {0036-8075, 1095-9203},
url = {http://science.sciencemag.org/content/344/6187/1246752},
doi = {10.1126/science.1246752},
abstract = {Structured Abstract
Background A principal function of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) is to “perform regular and timely assessments of knowledge on biodiversity.” In December 2013, its second plenary session approved a program to begin a global assessment in 2015. The Convention on Biological Diversity (CBD) and five other biodiversity-related conventions have adopted IPBES as their science-policy interface, so these assessments will be important in evaluating progress toward the CBD’s Aichi Targets of the Strategic Plan for Biodiversity 2011–2020. As a contribution toward such assessment, we review the biodiversity of eukaryote species and their extinction rates, distributions, and protection. We document what we know, how it likely differs from what we do not, and how these differences affect biodiversity statistics. Interestingly, several targets explicitly mention “known species”—a strong, if implicit, statement of incomplete knowledge. We start by asking how many species are known and how many remain undescribed. We then consider by how much human actions inflate extinction rates. Much depends on where species are, because different biomes contain different numbers of species of different susceptibilities. Biomes also suffer different levels of damage and have unequal levels of protection. How extinction rates will change depends on how and where threats expand and whether greater protection counters them.
{\textless}img class="highwire-embed" alt="Embedded Image" src="https://d2ufo47lrtsv5s.cloudfront.net/sites/default/files/highwire/sci/344/6187/1246752/embed/inline-graphic-1.gif"/{\textgreater}Different visualizations of species biodiversity. (A) The distributions of 9927 bird species. (B) The 4964 species with smaller than the median geographical range size. (C) The 1308 species assessed as threatened with a high risk of extinction by BirdLife International for the Red List of Threatened Species of the International Union for Conservation of Nature. (D) The 1080 threatened species with less than the median range size. (D) provides a strong geographical focus on where local conservation actions can have the greatest global impact. Additional biodiversity maps are available at www.biodiversitymapping.org.
Advances Recent studies have clarified where the most vulnerable species live, where and how humanity changes the planet, and how this drives extinctions. These data are increasingly accessible, bringing greater transparency to science and governance. Taxonomic catalogs of plants, terrestrial vertebrates, freshwater fish, and some marine taxa are sufficient to assess their status and the limitations of our knowledge. Most species are undescribed, however. The species we know best have large geographical ranges and are often common within them. Most known species have small ranges, however, and such species are typically newer discoveries. The numbers of known species with very small ranges are increasing quickly, even in well-known taxa. They are geographically concentrated and are disproportionately likely to be threatened or already extinct. We expect unknown species to share these characteristics. Current rates of extinction are about 1000 times the background rate of extinction. These are higher than previously estimated and likely still underestimated. Future rates will depend on many factors and are poised to increase. Finally, although there has been rapid progress in developing protected areas, such efforts are not ecologically representative, nor do they optimally protect biodiversity.
Outlook Progress on assessing biodiversity will emerge from continued expansion of the many recently created online databases, combining them with new global data sources on changing land and ocean use and with increasingly crowdsourced data on species’ distributions. Examples of practical conservation that follow from using combined data in Colombia and Brazil can be found at www.savingspecies.org and www.youtube.com/watch?v=R3zjeJW2NVk.
Maintaining biodiversity: From here to eternity?
There has been substantial recent progress in determining the distributions and identity of vulnerable species, and in understanding how (and where) human activity is leading to extinctions. Pimm et al. review the current state of knowledge and ask what the future rates of species extinction will be, how well protected areas will slow extinction rates, and how the remaining gaps in knowledge might be filled.
Science, this issue p. 10.1126/science.1246752
Recent studies clarify where the most vulnerable species live, where and how humanity changes the planet, and how this drives extinctions. We assess key statistics about species, their distribution, and their status. Most are undescribed. Those we know best have large geographical ranges and are often common within them. Most known species have small ranges. The numbers of small-ranged species are increasing quickly, even in well-known taxa. They are geographically concentrated and are disproportionately likely to be threatened or already extinct. Current rates of extinction are about 1000 times the likely background rate of extinction. Future rates depend on many factors and are poised to increase. Although there has been rapid progress in developing protected areas, such efforts are not ecologically representative, nor do they optimally protect biodiversity.},
language = {en},
number = {6187},
urldate = {2017-08-29},
journal = {Science},
author = {Pimm, S. L. and Jenkins, C. N. and Abell, R. and Brooks, T. M. and Gittleman, J. L. and Joppa, L. N. and Raven, P. H. and Roberts, C. M. and Sexton, J. O.},
month = may,
year = {2014},
pmid = {24876501},
pages = {1246752},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\WR3ZV8LL\\Pimm et al. - 2014 - The biodiversity of species and their rates of ext.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\49V4J7XL\\1246752.html:text/html}
}
@article{urban_accelerating_2015,
title = {Accelerating extinction risk from climate change},
volume = {348},
copyright = {Copyright © 2015, American Association for the Advancement of Science},
issn = {0036-8075, 1095-9203},
url = {http://science.sciencemag.org/content/348/6234/571},
doi = {10.1126/science.aaa4984},
abstract = {Predicting extinction in a changing world
There is great interest in understanding how species might respond to our changing climate, but predictions have varied greatly. Urban looked at over 130 studies to identify the level of risk that climate change poses to species and the specific traits and characteristics that contribute to risk (see the Perspective by Hille Ris Lambers). If climate changes proceed as expected, one in six species could face extinction. Several regions, including South America, Australia, and New Zealand, face the greatest risk. Understanding these patterns will help us to prepare for, and hopefully prevent, climate-related loss of biodiversity.
Science, this issue p. 571; see also p. 501
Current predictions of extinction risks from climate change vary widely depending on the specific assumptions and geographic and taxonomic focus of each study. I synthesized published studies in order to estimate a global mean extinction rate and determine which factors contribute the greatest uncertainty to climate change–induced extinction risks. Results suggest that extinction risks will accelerate with future global temperatures, threatening up to one in six species under current policies. Extinction risks were highest in South America, Australia, and New Zealand, and risks did not vary by taxonomic group. Realistic assumptions about extinction debt and dispersal capacity substantially increased extinction risks. We urgently need to adopt strategies that limit further climate change if we are to avoid an acceleration of global extinctions.
A meta-analysis details how current climate trends could result in increases in extinction. [Also see Perspective by Hille Ris Lambers]
A meta-analysis details how current climate trends could result in increases in extinction. [Also see Perspective by Hille Ris Lambers]},
language = {en},
number = {6234},
urldate = {2017-08-29},
journal = {Science},
author = {Urban, Mark C},
month = may,
year = {2015},
pmid = {25931559},
pages = {571--573},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\92SLMRQB\\Urban - 2015 - Accelerating extinction risk from climate change.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\BA2R77SH\\571.html:text/html}
}
@article{frishkoff_climate_2016,
title = {Climate change and habitat conversion favour the same species},
volume = {19},
issn = {1461-0248},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ele.12645/abstract},
doi = {10.1111/ele.12645},
abstract = {Land-use change and climate change are driving a global biodiversity crisis. Yet, how species' responses to climate change are correlated with their responses to land-use change is poorly understood. Here, we assess the linkages between climate and land-use change on birds in Neotropical forest and agriculture. Across {\textgreater} 300 species, we show that affiliation with drier climates is associated with an ability to persist in and colonise agriculture. Further, species shift their habitat use along a precipitation gradient: species prefer forest in drier regions, but use agriculture more in wetter zones. Finally, forest-dependent species that avoid agriculture are most likely to experience decreases in habitable range size if current drying trends in the Neotropics continue as predicted. This linkage suggests a synergy between the primary drivers of biodiversity loss. Because they favour the same species, climate and land-use change will likely homogenise biodiversity more severely than otherwise anticipated.},
language = {en},
number = {9},
urldate = {2017-08-29},
journal = {Ecology Letters},
author = {Frishkoff, Luke O. and Karp, Daniel S. and Flanders, Jon R. and Zook, Jim and Hadly, Elizabeth A. and Daily, Gretchen C. and M'Gonigle, Leithen K.},
month = sep,
year = {2016},
keywords = {Anthropocene, bird, climate niche, countryside biogeography, deforestation, habitat conversion, homogenisation},
pages = {1081--1090},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\QH833DYV\\Frishkoff et al. - 2016 - Climate change and habitat conversion favour the s.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\AWAPMIVG\\abstract.html:text/html}
}
@article{pacifici_assessing_2015,
title = {Assessing species vulnerability to climate change},
volume = {5},
copyright = {© 2015 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
issn = {1758-678X},
url = {http://www.nature.com/nclimate/journal/v5/n3/full/nclimate2448.html?foxtrotcallback=true},
doi = {10.1038/nclimate2448},
abstract = {The effects of climate change on biodiversity are increasingly well documented, and many methods have been developed to assess species' vulnerability to climatic changes, both ongoing and projected in the coming decades. To minimize global biodiversity losses, conservationists need to identify those species that are likely to be most vulnerable to the impacts of climate change. In this Review, we summarize different currencies used for assessing species' climate change vulnerability. We describe three main approaches used to derive these currencies (correlative, mechanistic and trait-based), and their associated data requirements, spatial and temporal scales of application and modelling methods. We identify strengths and weaknesses of the approaches and highlight the sources of uncertainty inherent in each method that limit projection reliability. Finally, we provide guidance for conservation practitioners in selecting the most appropriate approach(es) for their planning needs and highlight priority areas for further assessments.},
language = {en},
number = {3},
urldate = {2017-08-29},
journal = {Nature Climate Change},
author = {Pacifici, Michela and Foden, Wendy B. and Visconti, Piero and Watson, James E. M. and Butchart, Stuart H. M. and Kovacs, Kit M. and Scheffers, Brett R. and Hole, David G. and Martin, Tara G. and Akçakaya, H. Resit and Corlett, Richard T. and Huntley, Brian and Bickford, David and Carr, Jamie A. and Hoffmann, Ary A. and Midgley, Guy F. and Pearce-Kelly, Paul and Pearson, Richard G. and Williams, Stephen E. and Willis, Stephen G. and Young, Bruce and Rondinini, Carlo},
month = mar,
year = {2015},
keywords = {Climate-change ecology},
pages = {215--224},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\LZPSVD9L\\Pacifici et al. - 2015 - Assessing species vulnerability to climate change.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\VEW7Q4AC\\nclimate2448.html:text/html}
}
@article{mantyka-pringle_climate_2015,
title = {Climate change modifies risk of global biodiversity loss due to land-cover change},
volume = {187},
issn = {0006-3207},
url = {http://www.sciencedirect.com/science/article/pii/S0006320715001615},
doi = {10.1016/j.biocon.2015.04.016},
abstract = {Climate change and land-cover change will have major impacts on biodiversity persistence worldwide. These two stressors are likely to interact, but how climate change will mediate the effects of land-cover change remains poorly understood. Here we use an empirically-derived model of the interaction between habitat loss and climate to predict the implications of this for biodiversity loss and conservation priorities at a global scale. Risk analysis was used to estimate the risk of biodiversity loss due to alternative future land-cover change scenarios and to quantify how climate change mediates this risk. We demonstrate that the interaction of climate change with land-cover change could increase the impact of land-cover change on birds and mammals by up to 43\% and 24\% respectively and alter the spatial distribution of threats. Additionally, we show that the ranking of global biodiversity hotspots by threat depends critically on the interaction between climate change and habitat loss. Our study suggests that the investment of conservation resources will likely change once the interaction between climate change and land-cover change is taken into account. We argue that global conservation efforts must take this into account if we are to develop cost-effective conservation policies and strategies under global change.},
urldate = {2017-08-29},
journal = {Biological Conservation},
author = {Mantyka-Pringle, Chrystal S. and Visconti, Piero and Di Marco, Moreno and Martin, Tara G. and Rondinini, Carlo and Rhodes, Jonathan R.},
month = jul,
year = {2015},
keywords = {Climate change, Biodiversity hotspots, Conservation planning, Habitat loss, Interactions, Prioritization},
pages = {103--111},
file = {mantykapringle2015.pdf:C\:\\Users\\Marlon\\Zotero\\storage\\QC64UU42\\mantykapringle2015.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\82D2S7VM\\S0006320715001615.html:text/html}
}
@article{tilman_future_2017,
title = {Future threats to biodiversity and pathways to their prevention},
volume = {546},
copyright = {© 2017 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
issn = {0028-0836},
url = {https://www.nature.com/nature/journal/v546/n7656/full/nature22900.html},
doi = {10.1038/nature22900},
abstract = {Tens of thousands of species are threatened with extinction as a result of human activities. Here we explore how the extinction risks of terrestrial mammals and birds might change in the next 50 years. Future population growth and economic development are forecasted to impose unprecedented levels of extinction risk on many more species worldwide, especially the large mammals of tropical Africa, Asia and South America. Yet these threats are not inevitable. Proactive international efforts to increase crop yields, minimize land clearing and habitat fragmentation, and protect natural lands could increase food security in developing nations and preserve much of Earth's remaining biodiversity.},
language = {en},
number = {7656},
urldate = {2017-08-29},
journal = {Nature},
author = {Tilman, David and Clark, Michael and Williams, David R. and Kimmel, Kaitlin and Polasky, Stephen and Packer, Craig},
month = jun,
year = {2017},
keywords = {Ecology},
pages = {73--81},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\LB4UDFVE\\Tilman et al. - 2017 - Future threats to biodiversity and pathways to the.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\SLBWCZKC\\nature22900.html:text/html}
}
@article{ponce-reyes_extinction_2013,
title = {Extinction risk in cloud forest fragments under climate change and habitat loss},
volume = {19},
issn = {1472-4642},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ddi.12064/abstract},
doi = {10.1111/ddi.12064},
abstract = {Aim
To quantify the consequences of major threats to biodiversity, such as climate and land-use change, it is important to use explicit measures of species persistence, such as extinction risk. The extinction risk of metapopulations can be approximated through simple models, providing a regional snapshot of the extinction probability of a species. We evaluated the extinction risk of three species under different climate change scenarios in three different regions of the Mexican cloud forest, a highly fragmented habitat that is particularly vulnerable to climate change.
Location
Cloud forests in Mexico.
Methods
Using Maxent, we estimated the potential distribution of cloud forest for three different time horizons (2030, 2050 and 2080) and their overlap with protected areas. Then, we calculated the extinction risk of three contrasting vertebrate species for two scenarios: (1) climate change only (all suitable areas of cloud forest through time) and (2) climate and land-use change (only suitable areas within a currently protected area), using an explicit patch-occupancy approximation model and calculating the joint probability of all populations becoming extinct when the number of remaining patches was less than five.
Results
Our results show that the extent of environmentally suitable areas for cloud forest in Mexico will sharply decline in the next 70 years. We discovered that if all habitat outside protected areas is transformed, then only species with small area requirements are likely to persist. With habitat loss through climate change only, high dispersal rates are sufficient for persistence, but this requires protection of all remaining cloud forest areas.
Main conclusions
Even if high dispersal rates mitigate the extinction risk of species due to climate change, the synergistic impacts of changing climate and land use further threaten the persistence of species with higher area requirements. Our approach for assessing the impacts of threats on biodiversity is particularly useful when there is little time or data for detailed population viability analyses.},
language = {en},
number = {5-6},
urldate = {2017-08-29},
journal = {Diversity and Distributions},
author = {Ponce-Reyes, Rocio and Nicholson, Emily and Baxter, Peter W. J. and Fuller, Richard A. and Possingham, Hugh},
month = may,
year = {2013},
keywords = {species distribution modelling, metapopulations, patch-occupancy model, probability of extinction},
pages = {518--529},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\S9IZTHDG\\Ponce-Reyes et al. - 2013 - Extinction risk in cloud forest fragments under cl.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\VTZF6BXY\\abstract.html:text/html}
}
@article{foden_identifying_2013,
title = {Identifying the world's most climate change vulnerable species: {A} systematic trait-based assessment of all birds, amphibians and corals},
volume = {8},
issn = {1932-6203},
shorttitle = {Identifying the {World}'s {Most} {Climate} {Change} {Vulnerable} {Species}},
url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0065427},
doi = {10.1371/journal.pone.0065427},
abstract = {Climate change will have far-reaching impacts on biodiversity, including increasing extinction rates. Current approaches to quantifying such impacts focus on measuring exposure to climatic change and largely ignore the biological differences between species that may significantly increase or reduce their vulnerability. To address this, we present a framework for assessing three dimensions of climate change vulnerability, namely sensitivity, exposure and adaptive capacity; this draws on species’ biological traits and their modeled exposure to projected climatic changes. In the largest such assessment to date, we applied this approach to each of the world’s birds, amphibians and corals (16,857 species). The resulting assessments identify the species with greatest relative vulnerability to climate change and the geographic areas in which they are concentrated, including the Amazon basin for amphibians and birds, and the central Indo-west Pacific (Coral Triangle) for corals. We found that high concentration areas for species with traits conferring highest sensitivity and lowest adaptive capacity differ from those of highly exposed species, and we identify areas where exposure-based assessments alone may over or under-estimate climate change impacts. We found that 608–851 bird (6–9\%), 670–933 amphibian (11–15\%), and 47–73 coral species (6–9\%) are both highly climate change vulnerable and already threatened with extinction on the IUCN Red List. The remaining highly climate change vulnerable species represent new priorities for conservation. Fewer species are highly climate change vulnerable under lower IPCC SRES emissions scenarios, indicating that reducing greenhouse emissions will reduce climate change driven extinctions. Our study answers the growing call for a more biologically and ecologically inclusive approach to assessing climate change vulnerability. By facilitating independent assessment of the three dimensions of climate change vulnerability, our approach can be used to devise species and area-specific conservation interventions and indices. The priorities we identify will strengthen global strategies to mitigate climate change impacts.},
number = {6},
urldate = {2017-08-29},
journal = {PLoS ONE},
author = {Foden, Wendy B. and Butchart, Stuart H. M. and Stuart, Simon N. and Vié, Jean-Christophe and Akçakaya, H. Resit and Angulo, Ariadne and DeVantier, Lyndon M. and Gutsche, Alexander and Turak, Emre and Cao, Long and Donner, Simon D. and Katariya, Vineet and Bernard, Rodolphe and Holland, Robert A. and Hughes, Adrian F. and O’Hanlon, Susannah E. and Garnett, Stephen T. and Şekercioğlu, Çagan H. and Mace, Georgina M.},
month = jun,
year = {2013},
keywords = {Climate change, Amphibians, Birds, Corals, Extinction risk, Invasive species, Species extinction, Taxonomy},
pages = {e65427},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\PEV92TZ3\\Foden et al. - 2013 - Identifying the World's Most Climate Change Vulner.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\ILPPVPFB\\article.html:text/html}
}
@article{regos_predicting_2016,
title = {Predicting the future effectiveness of protected areas for bird conservation in {Mediterranean} ecosystems under climate change and novel fire regime scenarios},
volume = {22},
issn = {1472-4642},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ddi.12375/abstract},
doi = {10.1111/ddi.12375},
abstract = {Aim
Global environmental changes challenge traditional conservation approaches based on the selection of static protected areas due to their limited ability to deal with the dynamic nature of driving forces relevant to biodiversity. The Natura 2000 network (N2000) constitutes a major milestone in biodiversity conservation in Europe, but the degree to which this static network will be able to reach its long-term conservation objectives raises concern. We assessed the changes in the effectiveness of N2000 in a Mediterranean ecosystem between 2000 and 2050 under different combinations of climate and land cover change scenarios.
Location
Catalonia, Spain.
Methods
Potential distribution changes of several terrestrial bird species of conservation interest included in the European Union's Birds Directive were predicted within an ensemble-forecasting framework that hierarchically integrated climate change and land cover change scenarios. Land cover changes were simulated using a spatially explicit fire-succession model that integrates fire management strategies and vegetation encroachment after the abandonment of cultivated areas as the main drivers of landscape dynamics in Mediterranean ecosystems.
Results
Our results suggest that the amount of suitable habitats for the target species will strongly decrease both inside and outside N2000. However, the effectiveness of N2000 is expected to increase in the next decades because the amount of suitable habitats is predicted to decrease less inside than outside this network.
Main conclusions
Such predictions shed light on the key role that the current N2000 may play in the near future and emphasize the need for an integrative conservation perspective wherein agricultural, forest and fire management policies should be considered to effectively preserve key habitats for threatened birds in fire-prone, highly dynamic Mediterranean ecosystems. Results also show the importance of considering landscape dynamics and the synergies between different driving forces when assessing the long-term effectiveness of protected areas for biodiversity conservation.},
language = {en},
number = {1},
urldate = {2017-08-29},
journal = {Diversity and Distributions},
author = {Regos, Adrián and D'Amen, Manuela and Titeux, Nicolas and Herrando, Sergi and Guisan, Antoine and Brotons, Lluís},
month = jan,
year = {2016},
keywords = {species distribution models, biodiversity management, bird conservation, hierarchical approach, land abandonment, land cover change, MEDFIRE model, multiscale modelling, vegetation dynamics},
pages = {83--96},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\N97VLHG3\\Regos et al. - 2016 - Predicting the future effectiveness of protected a.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\P7WIKS26\\abstract.html:text/html}
}
@article{stralberg_projecting_2015,
title = {Projecting boreal bird responses to climate change: {The} signal exceeds the noise},
volume = {25},
issn = {1939-5582},
shorttitle = {Projecting boreal bird responses to climate change},
url = {http://onlinelibrary.wiley.com/doi/10.1890/13-2289.1/abstract},
doi = {10.1890/13-2289.1},
abstract = {For climate change projections to be useful, the magnitude of change must be understood relative to the magnitude of uncertainty in model predictions. We quantified the signal-to-noise ratio in projected distributional responses of boreal birds to climate change, and compared sources of uncertainty. Boosted regression tree models of abundance were generated for 80 boreal-breeding bird species using a comprehensive data set of standardized avian point counts (349 629 surveys at 122 202 unique locations) and 4-km climate, land use, and topographic data. For projected changes in abundance, we calculated signal-to-noise ratios and examined variance components related to choice of global climate model (GCM) and two sources of species distribution model (SDM) uncertainty: sampling error and variable selection. We also evaluated spatial, temporal, and interspecific variation in these sources of uncertainty. The mean signal-to-noise ratio across species increased over time to 2.87 by the end of the 21st century, with the signal greater than the noise for 88\% of species. Across species, climate change represented the largest component (0.44) of variance in projected abundance change. Among sources of uncertainty evaluated, choice of GCM (mean variance component = 0.17) was most important for 66\% of species, sampling error (mean = 0.12) for 29\% of species, and variable selection (mean = 0.05) for 5\% of species. Increasing the number of GCMs from four to 19 had minor effects on these results. The range of projected changes and uncertainty characteristics across species differed markedly, reinforcing the individuality of species' responses to climate change and the challenges of one-size-fits-all approaches to climate change adaptation. We discuss the usefulness of different conservation approaches depending on the strength of the climate change signal relative to the noise, as well as the dominant source of prediction uncertainty.},
language = {en},
number = {1},
urldate = {2017-08-29},
journal = {Ecological Applications},
author = {Stralberg, D. and Matsuoka, S. M. and Hamann, A. and Bayne, E. M. and Sólymos, P. and Schmiegelow, F. K. A. and Wang, X. and Cumming, S. G. and Song, S. J.},
month = jan,
year = {2015},
keywords = {climate change, uncertainty, species distribution models, avian density, boosted regression trees, boreal birds, boreal forest, global climate models, signal-to-noise ratio, variance partitioning},
pages = {52--69},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\CZM36WG6\\Stralberg et al. - 2015 - Projecting boreal bird responses to climate change.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\H9PZEX2K\\abstract.html:text/html}
}
@article{khaliq_global_2014,
title = {Global variation in thermal tolerances and vulnerability of endotherms to climate change},
volume = {281},
copyright = {© 2014 The Author(s) Published by the Royal Society. All rights reserved.},
issn = {0962-8452, 1471-2954},
url = {http://rspb.royalsocietypublishing.org/content/281/1789/20141097},
doi = {10.1098/rspb.2014.1097},
abstract = {The relationships among species' physiological capacities and the geographical variation of ambient climate are of key importance to understanding the distribution of life on the Earth. Furthermore, predictions of how species will respond to climate change will profit from the explicit consideration of their physiological tolerances. The climatic variability hypothesis, which predicts that climatic tolerances are broader in more variable climates, provides an analytical framework for studying these relationships between physiology and biogeography. However, direct empirical support for the hypothesis is mostly lacking for endotherms, and few studies have tried to integrate physiological data into assessments of species' climatic vulnerability at the global scale. Here, we test the climatic variability hypothesis for endotherms, with a comprehensive dataset on thermal tolerances derived from physiological experiments, and use these data to assess the vulnerability of species to projected climate change. We find the expected relationship between thermal tolerance and ambient climatic variability in birds, but not in mammals—a contrast possibly resulting from different adaptation strategies to ambient climate via behaviour, morphology or physiology. We show that currently most of the species are experiencing ambient temperatures well within their tolerance limits and that in the future many species may be able to tolerate projected temperature increases across significant proportions of their distributions. However, our findings also underline the high vulnerability of tropical regions to changes in temperature and other threats of anthropogenic global changes. Our study demonstrates that a better understanding of the interplay among species' physiology and the geography of climate change will advance assessments of species' vulnerability to climate change.},
language = {en},
number = {1789},
urldate = {2017-08-29},
journal = {Proceedings of the Royal Society of London B: Biological Sciences},
author = {Khaliq, Imran and Hof, Christian and Prinzinger, Roland and Böhning-Gaese, Katrin and Pfenninger, Markus},
month = aug,
year = {2014},
pmid = {25009066},
pages = {20141097},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\D9CQD72T\\Khaliq et al. - 2014 - Global variation in thermal tolerances and vulnera.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\DZQDT3LK\\20141097.html:text/html}
}
@article{colorado_zuluaga_response_2015,
series = {Special {Issue}: {Ecology} and {Conservation} of {Avian} {Insectivores} of the {Rainforest} {Understory}: {A} {Pan}-{Tropical} {Perspective}},
title = {Response of mixed-species flocks to habitat alteration and deforestation in the {Andes}},
volume = {188},
issn = {0006-3207},
url = {http://www.sciencedirect.com/science/article/pii/S0006320715000634},
doi = {10.1016/j.biocon.2015.02.008},
abstract = {Although a growing number of studies address how Neotropical birds respond to anthropogenic disturbance and deforestation, we continue to poorly understand responses of groups of interacting species, such as mixed-species flocks in the Andes. In this study, we examined how attributes at landscape (i.e., percentage of forest cover within 1-km2) and local (i.e. structural complexity of microhabitat) scales shaped mixed-species flocks within five broadly-defined habitat types in the Northern and Central Andes. From 2007 to 2010, we systematically surveyed flocks along line transects in 97 1-km2 plots distributed from Venezuela to Peru based on a stratified-random design. We recorded 220 avian species in 186 mixed-species flocks, with the greatest species richness and largest flocks detected in forested habitats. Understory insectivores were most closely associated with mature and secondary forests. Increasing forest cover promoted species richness and size of flocks, with particularly strong associations in successional habitats and shade coffee. Structural complexity was positively associated with flock size in early successional and silvopastoral habitats, where 20\% increases in complexity doubled flock size. However, the opposite pattern was true in shade coffee and secondary forests. Encounter rates of flocks were poorly explained by simple metrics of forest cover and structural complexity. Unlike flocks reported in many lowland forests, Andean flocks tended to span all vertical strata, with fewer understory-specializing flocks (e.g. flocks led by Basileuterus warblers and Chlorospingus tanagers). Nonetheless, in such flocks, understory insectivores were most closely associated with mature and secondary forests. Our research supports the idea that managed habitats with overstory trees can contribute to flock conservation. Overall, our results further suggested that understory birds require the more forested of habitats (e.g., mature forest held almost twice as many understory specialists as other habitats), and may be less amenable to conservation with agroecosystems or working landscapes.},
urldate = {2017-08-29},
journal = {Biological Conservation},
author = {Colorado Zuluaga, Gabriel J. and Rodewald, Amanda D.},
month = aug,
year = {2015},
keywords = {Andes, Deforestation, Habitat alteration, Mixed-species flocks, Shade coffee, Silvopasture, Structural complexity},
pages = {72--81},
file = {[email protected]:C\:\\Users\\Marlon\\Zotero\\storage\\HVCU5CPM\\[email protected]:application/pdf;ScienceDirect Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\QJA3YHJ6\\S0006320715000634.html:text/html}
}
@article{barlow_anthropogenic_2016,
title = {Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation},
volume = {535},
copyright = {© 2016 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
issn = {0028-0836},
url = {https://www.nature.com/nature/journal/v535/n7610/full/nature18326.html},
doi = {10.1038/nature18326},
abstract = {Concerted political attention has focused on reducing deforestation, and this remains the cornerstone of most biodiversity conservation strategies. However, maintaining forest cover may not reduce anthropogenic forest disturbances, which are rarely considered in conservation programmes. These disturbances occur both within forests, including selective logging and wildfires, and at the landscape level, through edge, area and isolation effects. Until now, the combined effect of anthropogenic disturbance on the conservation value of remnant primary forests has remained unknown, making it impossible to assess the relative importance of forest disturbance and forest loss. Here we address these knowledge gaps using a large data set of plants, birds and dung beetles (1,538, 460 and 156 species, respectively) sampled in 36 catchments in the Brazilian state of Pará. Catchments retaining more than 69–80\% forest cover lost more conservation value from disturbance than from forest loss. For example, a 20\% loss of primary forest, the maximum level of deforestation allowed on Amazonian properties under Brazil’s Forest Code, resulted in a 39–54\% loss of conservation value: 96–171\% more than expected without considering disturbance effects. We extrapolated the disturbance-mediated loss of conservation value throughout Pará, which covers 25\% of the Brazilian Amazon. Although disturbed forests retained considerable conservation value compared with deforested areas, the toll of disturbance outside Pará’s strictly protected areas is equivalent to the loss of 92,000–139,000 km2 of primary forest. Even this lowest estimate is greater than the area deforested across the entire Brazilian Amazon between 2006 and 2015 (ref. 10). Species distribution models showed that both landscape and within-forest disturbances contributed to biodiversity loss, with the greatest negative effects on species of high conservation and functional value. These results demonstrate an urgent need for policy interventions that go beyond the maintenance of forest cover to safeguard the hyper-diversity of tropical forest ecosystems.},
language = {en},
number = {7610},
urldate = {2017-08-29},
journal = {Nature},
author = {Barlow, Jos and Lennox, Gareth D. and Ferreira, Joice and Berenguer, Erika and Lees, Alexander C. and Nally, Ralph Mac and Thomson, James R. and Ferraz, Silvio Frosini de Barros and Louzada, Julio and Oliveira, Victor Hugo Fonseca and Parry, Luke and Ribeiro de Castro Solar, Ricardo and Vieira, Ima C. G. and Aragão, Luiz E. O. C. and Begotti, Rodrigo Anzolin and Braga, Rodrigo F. and Cardoso, Thiago Moreira and Jr, Raimundo Cosme de Oliveira and Souza Jr, Carlos M. and Moura, Nárgila G. and Nunes, Sâmia Serra and Siqueira, João Victor and Pardini, Renata and Silveira, Juliana M. and Vaz-de-Mello, Fernando Z. and Veiga, Ruan Carlo Stulpen and Venturieri, Adriano and Gardner, Toby A.},
month = jul,
year = {2016},
keywords = {Forest ecology, Conservation biology, Tropical ecology},
pages = {144--147},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\4LY2HKPW\\Barlow et al. - 2016 - Anthropogenic disturbance in tropical forests can .pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\8BBQ9IR9\\nature18326.html:text/html}
}
@article{ochoa-quintero_thresholds_2015,
title = {Thresholds of species loss in {Amazonian} deforestation frontier landscapes},
volume = {29},
issn = {1523-1739},
url = {http://onlinelibrary.wiley.com/doi/10.1111/cobi.12446/abstract},
doi = {10.1111/cobi.12446},
abstract = {In the Brazilian Amazon, private land accounts for the majority of remaining native vegetation. Understanding how land-use change affects the composition and distribution of biodiversity in farmlands is critical for improving conservation strategies in the face of rapid agricultural expansion. Working across an area exceeding 3 million ha in the southwestern state of Rondônia, we assessed how the extent and configuration of remnant forest in replicate 10,000-ha landscapes has affected the occurrence of a suite of Amazonian mammals and birds. In each of 31 landscapes, we used field sampling and semistructured interviews with landowners to determine the presence of 28 large and medium sized mammals and birds, as well as a further 7 understory birds. We then combined results of field surveys and interviews with a probabilistic model of deforestation. We found strong evidence for a threshold response of sampled biodiversity to landscape level forest cover; landscapes with {\textless}30–40\% forest cover hosted markedly fewer species. Results from field surveys and interviews yielded similar thresholds. These results imply that in partially deforested landscapes many species are susceptible to extirpation following relatively small additional reductions in forest area. In the model of deforestation by 2030 the number of 10,000-ha landscapes under a conservative threshold of 43\% forest cover almost doubled, such that only 22\% of landscapes would likely to be able to sustain at least 75\% of the 35 focal species we sampled. Brazilian law requires rural property owners in the Amazon to retain 80\% forest cover, although this is rarely achieved. Prioritizing efforts to ensure that entire landscapes, rather than individual farms, retain at least 50\% forest cover may help safeguard native biodiversity in private forest reserves in the Amazon. Umbrales de Pérdida de Especies en los Paisajes Fronterizos de Deforestación en el Amazonas Ochoa-Quintero},
language = {en},
number = {2},
urldate = {2017-08-29},
journal = {Conservation Biology},
author = {Ochoa-Quintero, Jose Manuel and Gardner, Toby A. and Rosa, Isabel and de Barros Ferraz, Silvio Frosini and Sutherland, William J.},
month = apr,
year = {2015},
keywords = {agricultural expansion, expansión agrícola, extinción en paisajes, farmlands, landscape extinctions, modelos probabilísticos, probabilistic models, riqueza de especies, species richness, tierras de agrícolas},
pages = {440--451},
file = {Full Text PDF:C\:\\Users\\Marlon\\Zotero\\storage\\KCDJ3PNS\\Ochoa-Quintero et al. - 2015 - Thresholds of species loss in Amazonian deforestat.pdf:application/pdf;Snapshot:C\:\\Users\\Marlon\\Zotero\\storage\\UQ6NIZZT\\abstract.html:text/html}
}
@article{harris_rapid_2014,