Throwing light on dark diversity of vascular plants in China: predicting the distribution of dark and threatened species under global climate change.

ABSTRACT:

Background

As global climate change accelerates, ecologists and conservationists are increasingly investigating changes in biodiversity and predicting species distribution based on species observed at sites, but rarely consider those plant species that could potentially inhabit but are absent from these areas (i.e., the dark diversity and its distribution). Here, we estimated the dark diversity of vascular plants in China and picked up threatened dark species from the result, and applied maximum entropy (MaxEnt) model to project current and future distributions of those dark species in their potential regions (those regions that have these dark species).

Methods

We used the Beals probability index to estimate dark diversity in China based on available species distribution in

SUBMITTER: Tang L 

PROVIDER: S-EPMC6461033 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature