Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model

BMC Ecology
Baibing Ma, Jian Sun

Abstract

The ecosystems across Tibetan Plateau are changing rapidly under the influence of climate warming, which has caused substantial changes in spatial and temporal environmental patterns. Stipa purpurea, as a dominant herbsage resource in alpine steppe, has a great influence on animal husbandry in the Tibetan Plateau. Global warming has been forecasted to continue in the future (2050s, 2070s), questioning the future distribution of S. purpurea and its response to climate change. The maximum entropy (MaxEnt) modeling, due to its multiple advantages (e.g. uses presence-only data, performs well with incomplete data, and requires small sample sizes and gaps), has been used to understand species environment relationships and predict species distributions across locations that have not been sampled. Annual mean temperature, annual precipitation, temperature seasonality, altitude, and precipitation during the driest month, significantly affected the distribution of S. purpurea. Only 0.70% of the Tibetan Plateau area included a very highly suitable habitat (habitat suitability [HS] = 0.8-1.0). Highly suitable habitat (HS = 0.6-0.8), moderately suitable habitat (HS = 0.4-0.6), and unsuitable habitat (HS = 0.2-0.4) occupied 6.20, 14.30 and 2...Continue Reading

References

Feb 1, 2000·Trends in Ecology & Evolution·I Hughes
Sep 12, 2002·Annual Review of Plant Biology·Jian-Kang Zhu
Apr 16, 2010·Trends in Ecology & Evolution·Sarah E GilmanRobert D Holt
Jun 13, 2012·Biological Reviews of the Cambridge Philosophical Society·Mary Susanne WiszJens-Christian Svenning

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Citations

Jun 27, 2019·International Journal of Environmental Research and Public Health·Yingnan NiuYing Cui

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Methods Mentioned

BETA
GAM
environmental stresses

Software Mentioned

ArcToolbox
WorldClim
DOMAIN
Spatial Analyst
R
BIOCLIM
ArcGIS
GAM
ArcGIS10
BIOMAPPER

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