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

Domain:

environment and energygeospatial

Record type:

dataset
Creator:
Herkt, K. Matthias B.Fahr, Jakob
Publisher:
PAN
Host:avatar
Geographic sampling effort within each grid cell quantified using a kernel density estimate around each documented bat occurrence locality (units: km2; details in Herkt et al. 2016), annual Net Primary Productivity according to Imhoff et al. 2004 representing the productivity hypothesis (Connell & Orias 1964, jstor.org and Wright 1983, jstor.org); standard deviation of actual evapotranspiration according to Ahn & Tateishi 2000 (grid.unep.ch) representing the seasonality hypothesis (e.g. Stevens 1989, jstor.org; O'Brien 1993, jstor.org; Carrara & Vázquez 2010, doi:10.1111/j.1600-0587.2009.05756.x); Diversity of land cover type classes measured as GLC2000 (JRC 2003, forobs.jrc.ec.europa.eu) classes sliced into elevational bands of 300 m using GTOPO30 data (USGS ORNL DAAC 2006, webmap.ornl.gov) representing the (horizontal) heterogeneity hypothesis (reviewed in Stein et al. 2014, doi:10.1111/ele.12277). Latitude and longitude values mark the center point of each 200x200 km2 grid cell.

Visit

doi.orgdoi.pangaea.de

Tags

IdentificationDistance, relative, XDistance, relative, YLONGITUDELATITUDESpecies richnessSamplingNet primary production of carbonEvapotranspiration, standard deviationDiversity description+1

Licenses

Creative Commons Attribution 3.0 Unportedhttps://creativecommons.org/licenses/by/3.0/legalcode

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

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 distri