Meta‐analyzing the likely cross‐species responses to climate change

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dc.creatorGonçalves Ortega, Jean Carlo
dc.creatorSousa, Nathália Machado e
dc.creatorDiniz Filho, José Alexandre Felizola
dc.creatorRangel, Thiago Fernando Lopes Valle de Britto
dc.creatorAraújo, Miguel Bastos
dc.creatorLoyola, Rafael Dias
dc.creatorBini, Luis Mauricio
dc.date.accessioned2022-12-29T11:01:42Z
dc.date.available2022-12-29T11:01:42Z
dc.date.issued2019-08
dc.description.abstractEcological Niche Models (ENMs) have different performances in predicting potential geographic distributions. Here we meta‐analyzed the likely effects of climate change on the potential geographic distribution of 1,205 bird species from the Neotropical region, modeled using eight ENMs and three Atmosphere‐Ocean General Circulation Models (AOGCM). We considered the variability in ENMs performance to estimate a weighted mean difference between potential geographic distributions for baseline and future climates. On average, potential future ranges were projected to be from 25.7% to 44.5% smaller than current potential ranges across species. However, we found that 0.2% to 18.3% of the total variance in range shifts occurred “within species” (i.e., owing to the use of different modeling techniques and climate models) and 81.7% to 99.8% remained between species (i.e., it could be explained by ecological correlates). Using meta‐analytical techniques akin to regression, we also showed that potential range shifts are barely predicted by bird biological traits. We demonstrated that one can combine and reduce species‐specific effects with high uncertainty in ENMs and also explore potential causes of climate change effect on species using meta‐analytical tools. We also highlight that the search for powerful correlates of climate change‐induced range shifts can be a promising line of investigation.pt_BR
dc.identifier.citationORTEGA, Jean C. G.  et al. Meta-analyzing the likely cross-species responses to climate change. Ecology and Evolution, Nova Jersey, v. 9, n. 19, p. 11136–11144, 2019.  pt_BR
dc.identifier.doihttps://doi.org/10.1002/ece3.5617 [2045-7758]
dc.identifier.urihttp://repositorio.bc.ufg.br/handle/ri/21678
dc.language.isoengpt_BR
dc.publisher.countryEstados unidospt_BR
dc.publisher.departmentInstituto de Ciências Biológicas - ICB (RG)pt_BR
dc.rightsAcesso Abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEcological niche modelingpt_BR
dc.subjectUncertaintypt_BR
dc.subjectGlobal warmingpt_BR
dc.subjectSpecies distributionpt_BR
dc.subjectMeta‐analysispt_BR
dc.subjectRange sizept_BR
dc.titleMeta‐analyzing the likely cross‐species responses to climate changept_BR
dc.typeArtigopt_BR

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