Data, Metadata, R-codes and R data files for submission of Bartzke et. al to Ecological Monographs
Project leader:
- 1. University of Hohenheim
- 2. Danish Institute for International Studies
- 3. Independent Researcher
- 4. International Livestock Research Institute
- 5. World Wildlife Fund
- 6. Campfire Conservation
- 7. Department of Infrastructure, Lands and Urban Development, County Government of Laikipia
- 8. University of Twente
- 9. Colorado State University
Description
These files include the data, metadata, R-codes and R data files for modelling of ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and the normal rainfall year of 2002.
"mc_333m.csv": data file for 333 m-by-333 m sub-blocks
"Metadata.pdf": metadata for files "mc_333m.csv" and "mc_1km.csv"
"prepare data.r": R code to impute missing vegetation records in 333 m-by-333 m sub-blocks and to summarize the data over 1 km-by-1 km blocks for analysis
"dgc02k.RData" ... "dth99k.RData": R data files containing the imputed vegetation records
"mc_1km.csv": data file for 1 km-by-1 km blocks for analysis
"mc_1km.r ": R code for modelling ungulate diversity and biomass
"mc_1km.RData": R data file containing the predictions of models of ungulate diversity and biomass
"mc_1km_plots.r": R code for plotting the predictions of ungulate diversity and biomass models
"MMNR_border.shp" and associated files: Shapefile of the Maasai Mara National Reserve border to Tanzania for plots of the predictions of ungulate diversity and biomass
"MMNR_boundary.shp" and associated files: Shapefile of the Maasai Mara National Reserve boundary in Kenya for plots of the predictions of ungulate diversity and biomass
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The files are provided as private-for-peer-review for the submission of Bartzke et al. entitled "The diversity and biomass of savanna ungulates respond differently to land use, resource gradients and drought" to Ecological Monographs.
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Additional details
References
- Reid et al (2003). People, wildlife and livestock in the Mara ecosystem: the Mara count 2002. Technical report, International Livestock Research Institute, Nairobi, Kenya. Available from http://www.maasaimaracount.org/reports/Maracount.pdf.