Quantifying species' range shifts in relation to climate change: a case study of Abies spp. in China.

ABSTRACT: Predicting species range shifts in response to climatic change is a central aspect of global change studies. An ever growing number of species have been modeled using a variety of species distribution models (SDMs). However, quantitative studies of the characteristics of range shifts are rare, predictions of range changes are hard to interpret, analyze and summarize, and comparisons between the various models are difficult to make when the number of species modeled is large. Maxent was used to model the distribution of 12 Abies spp. in China under current and possible future climate conditions. Two fuzzy set defined indices, range increment index (I) and range overlapping index (O), were used to quantify range shifts of the chosen species. Correlation analyses were used to test the relatio

SUBMITTER: Kou X 

PROVIDER: S-EPMC3160841 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature