We used spatial error models to identify the most important factors (environment or history) for species composition taking spatial autocorrelation into account. To select explanatory variables sequen

NIAID Data Ecosystem20

A spatially integrated framework for assessing socioecological drivers of carnivore decline

动物濒危评估

空间生态建模

Habitat loss, fragmentation and degradation are key threats to the long-term persistence of carnivores, which are also susceptible to direct persecution by people. Integrating natural and social scien

NIAID Data Ecosystem50

The biomes of Western Australia: a vegetation-based approach using the zonality/ azonality conceptual framework

植被群落分类

空间生态建模

Vegetation patterns of are the result of environmental drivers operating across a range of ecological and evolutionary scale. Those vegetation patterns at global and continental scales underpin the ex

Taylor & Francis Group2022-11-20 更新30

Data for: Spatial pattern and determinants of global invasion risk of an invasive species, sharpbelly Hemiculter leucisculus (Basilesky, 1855)

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