
Metadata for Data_PresentDay_Global.txt and Data_PresentDay_StudyRegions.txt 

by Hof et al.

If you use these datasets, please cite:



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DATA SUMMARY

Data_PresentDay_Global.txt:
Original present-day data on global richness, geography and environment (climate and NPP) in 1° lat-long grid cells.
16861 lines of 36 columns

Data_PresentDay_StudyRegions.txt:
Data as above, but excerpt for just the grid cells falling within our study regions.
1635 lines of 38 columns


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DATA EXPLANATIONS: column names and content

- WM_ID: the grid cell ID.
- XCoord: latitude (decimal) of the grid cell centroid.
- YCoord: longitude (decimal) of the grid cell centroid.
- ID: another grid cell ID.
- WorldMapID: an old ID column, not used.
- LandArea: the land area covered by the grid cell in square kilometres.
- PropLand: the proportion of land area in the grid cell.
- Region: the region into which the grid cell fell, defined as shown in Fig. 1 (NA for cells not included in our analyses).
- continent: the continent into which the grid cell fell (North America, Europe, Asia, NA for rest). 
- realm: a different continent definition for the grid cells (North America, Eurasia, SouthAsia, NA for rest).
- MAT_mean: average mean annual temperature across 50 years from Harris et al 2014.
- MAP_mean: average total annual precipitation across 50 years from Harris et al 2014.
- MAT_hdr, MAT_50low, MAT_50high, MAP_hdr, MAP_50low, MAP_50high: for each of temperature and precipitation, the highest density value and 50% credibility intervals of a frequency distribution of climatic values generated from the values across 50 year from Harris et al 2014. Not used, this was calculated as shown for paleo-climatic data in Fig. S5).
- nppMIA_mean: NPP values calculated from MAT_mean and MAP_mean with the Miami formula.
- nppMIA_hdr: NPP values calculated from MAT_hdr and MAP_hdr with the Miami formula.
- nppMIA_which: which of MAT_hdr and MAP_hdr was NPP calculated from?
- nppMIA_50low, nppMIA_50high: NPP values calculated from MAT_50low and MAP_50low / from MAT_50high and MAP_50high, based on nppMIA_which information so it matched nppMIA_hdr values.
- npp_modis: NPP from MODIS satellite data, not used.
- gpp_modis: GPP from MODIS satellite data, not used.
- npp_act_haberl: NPP of the actual vegetation from Haberl et al.
- hanpp_haberl: human appropriation of NPP from Haberl et al.. 
- delta_npp_perc_haberl: land-use induced reductions in NPP as percentage of npp_0_haberl (see below), from Haberl et al.
- npp_t_haberl: NPP remaining in ecosystems after harvest measured by remote-sensing, from Haberl et al.
- npp_0_haberl: NPP of the potential vegetation modelled by a DGVM, from Haberl et al.
- MYhanpp_factor: proportion of NPP remaining in ecosystem of the potential vegetation based on the data from Haberl et al., HANPP factor used to calculate NPP remaining after human appropriation.
- nppMIA_mean_remain: remaining NPP (calculated with nppMIA_mean) adjusted for human appropriation with the HANPP factor.
- nppMIA_hdr_remain: remaining NPP (calculated with nppMIA_hdr) adjusted for human appropriation with the HANPP factor, not used.
- nppMIA_var: variance around nppMIA_mean, not used.
- rich_sp_glob: number of species of the five large terrestrial orders of mammal.
- rich_gen_glob: number of genera of the five large terrestrial orders of mammal.


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DATA ORIGINS AND PROCESSING PRIOR TO UPLOADED SCRIPTS


Present-day temperature and precipitation were resampled to the 1° lat-long grid and came from:
Harris I, Jones PD, Osborn TJ, Lister DH (2014) Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 dataset. Int J Climatol 34(3):623-642.

Present-day NPP values from remote-sensing were resampled to the 1° lat-long grid and downloaded from http://www.uni-klu.ac.at/socec/inhalt/1191.htm. Original citation:
Haberl H et al. (2007) Quantifying and mapping the human appropriation of net primary production in earth’s terrestrial ecosystems. Proc Natl Acad Sci USA 104(31):12942-12947.

Species and genus richness values were extracted from the IUCN Global Mammal Assessment maps, which had been sampled into the 1° lat-long grid and converted to Wilson & Reeder 2005 taxonomy:
IUCN Red List Global Mammal Assessment 2008, downloaded from www.iucnredlist.org/mammals
Wilson, DE, Reeder DM (2005) Mammal Species of the World: A Taxonomic and Geographic Reference. 3rd ed (John Hopkins University Press, Baltimore, MD).