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

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DataONE2019-09-23 更新2025-06-21 收录
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Ecological 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 1205 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 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 rang...

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2025-06-16
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