African bat species distribution models and gridded IUCN expert maps: differences and implications for macroecological analyses - data in map form

Content:
(a) 183 individual species distribution estimates (one set consists of MaxEnt species distribution models, the other set of rasterized IUCN expert maps).
(b) pictures of the 183 maps of pairwise agreement
(c) the two species richness maps obtained when stacking the aforementioned binary distribution maps.
(d) a map showing the geographic distribution of sampling effort concerning African bats until ~2013, quantified using a kernel density estimate around documented presence localities.
(e) maps of three environmental correlates of macroecological interest (annual net primary productivity representing the productivity hypothesis, standard deviation of annual actual evapotranspiration representing the seasonality hypothesis and diversity of elevation-refined land cover types representing the heterogeneity hypothesis).
Note: all maps are in GeoTIFF format and provided at 200x200 km² spatial resolution, the grain at which we performed the analysis. Note that all SDMs were originally produced at 1 km2 grain and coarsened for the purpose of this analysis. Please consult our two papers listed below for more details.

内容包括：
(a) 183组独立的物种分布预估结果，其中一组为最大熵模型（MaxEnt）物种分布模型，另一组为栅格化的世界自然保护联盟（IUCN）专家编制分布图；
(b) 183张成对一致性分布图的可视化图像；
(c) 将上述二值分布图层叠加后得到的两张物种丰富度分布图；
(d) 截至2013年左右的非洲蝙蝠采样强度地理分布图，该图通过对已记录的物种出现点位进行核密度估计来量化采样强度；
(e) 三类具有宏观生态学研究价值的环境关联因子分布图：分别为代表生产力假说的年净初级生产力、代表季节性格局假说的年实际蒸散量标准差，以及代表异质性假说的经高程校正的土地覆盖类型多样性。

注：所有地图均采用GeoTIFF格式，空间分辨率为200×200 km²，该分辨率为本研究开展分析的粒度。需说明，所有物种分布模型（SDM）的原始生成分辨率为1 km²，本研究为适配本次分析将其重采样至该粒度。如需获取更多细节，请参阅下文列出的两篇研究论文。