five

Three most relevant predictive environmental variables used for MaxEnt habitat suitability modeling for each species.

收藏
NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://figshare.com/articles/dataset/Three_most_relevant_predictive_environmental_variables_used_for_MaxEnt_habitat_suitability_modeling_for_each_species_/4300913
下载链接
链接失效反馈
官方服务:
资源简介:
Species abbreviations are as follows: Corynorhinus townsendii = Coto; Lasiurus borealis = Labo; Myotis ciliolabrum = Myci; Myotis evotis = Myev; Myotis septentrionalis = Myse; Myotis volans = Myvo. Landcover percentages represent the percentage amount for each 30arc second raster grid associated with each species. For example, Coto was associated, through MaxEnt modelling, to habitats that contained 50–70% mosaic grasslands, 20–50% forest or shrubland, were open (>15%) and contained sparse vegetation (<15%).
创建时间:
2016-12-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作