4.5 Article

Potential Himalayan community turnover through the Late Pleistocene

Journal

CLIMATIC CHANGE
Volume 164, Issue 1-2, Pages -

Publisher

SPRINGER
DOI: 10.1007/s10584-021-02976-7

Keywords

Himalayan birds; Ecological niche modelling; Tropical buffering effect; Historical climate change; Community turnover

Funding

  1. National Natural Science Foundation of China [31772437, 31540092]
  2. Strategic Priority Research Program of Chinese Academy of Sciences [XDA20050202]

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The study utilized ecological niche modelling to investigate the effects of climate change on passerine species in the Himalayas, finding significant turnover between the Last Interglacial Period and the Last Glacial Maximum. The statistical analyses of climatic variables revealed increased variability during the Last Interglacial Period, potentially causing community turnover. Furthermore, the study suggests that dramatic historical climate change could overcome the buffering effect of elevational heterogeneity in tropical mountains, emphasizing the importance of considering past climate change in understanding biodiversity patterns.
Prevailing models for the high biodiversity in tropical mountains assume that organisms can survive through past climate change by performing short elevational movements to track suitable habitats. However, dramatic Pleistocene climatic oscillations could also lead to species turnover but have widely been ignored. Here, we used ecological niche modelling (ENM) of 288 passerine species in the Himalayas to test the effect of climate change during the Last Interglacial Period (LIG), the Last Glacial Maximum (LGM) and the present day. The ENM analyses hindcasted species persistence through climate change from the LGM to the present day but likely showed a high degree of species turnover (e.g. 32.6-46.2%) from the LIG to the LGM. Further elevational dynamic reconstructions demonstrated that species might survive these two periods of climate change by upward and downward shifts, respectively. Statistical analyses of climatic variables showed increased climatic variability in the Himalayas during the LIG, which might have caused community turnover. The severe evolutionary consequence of the LIG climate in the Himalayas contrasts with the paradigm of the climatic optimum in Europe and North America and suggests potential geography-dependent effects of past climate change. More importantly, our results demonstrate that dramatic historical climate change might overwhelm the buffering effect of elevational heterogeneity, which should be considered when investigating the origin of tropical montane biodiversity.

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