28bba596-c52b-4cea-8f48-fa1b6197eb8b Jessica Ferner ferner@uni-bonn.de 2016-03-18T15:20:40 ISO 19115:2003/19139 1.0 Database on Rangeland related Variables from Climate Gradient (Northen Ghana - Central Burkina Faso) 2016-03-10 1 The database contains point data from several sites within the study area, comprising a steep south-north gradient of climatic aridity reaching from northern Ghana to central Burkina Faso between 9.0°N and 13.5°N latitude and 0.1°W and 2.0°W longitude. It is located in the southern and northern Sudanian zone of West Africa’s savanna belt, capturing a precipitation range of 600 mm to 1200 mm corresponding to UNEP aridity indices of 0.31 (semi-arid) to 0.69 (humid). Data collection took place at 44 sites during the rainy seasons in 2012 (June-September) and 2013 (July-October) and the end of the rainy season 2014 (October). Our sampling design intended to cover diverse vegetation types and a wide range of land-use intensities (including protected and degraded areas). We stratified sampling at sites by topographic position (upslope, footslope and lowland). At each slope position per site, 3-5 plots (10x10 m) were placed, containing three random circular subplots. The point data collected at each (sub)plot contains modelled data on forage quality (metabolisable energy) and quantity (green & total biomass) from spectrometric measurements, vegetation relevées (i.e. species data, vegetation clusters, phenology, photosynthetic pathway, height, cover, life span...), interview data on livestock keeping, grazing pressure and soil attributes (N, C, P, soil depth, soil structure...). Based on climate data, aridity indices were calculated. Based on fire occurrences detected by satellite images, fire frequency around sites was calculated. Based on soil moisture values detected by (radar) satellite images, soil moisture was extracted and modelled for the time of data collection. Further information: Ferner, J., Linstädter, A., Südekum, K. H., & Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa’s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106. Measurement and collection of several variables related to rangeland management, e.g. for modelling purposes -climate data was taken from WorldClim (http://www.worldclim.org/) -raw data on fire occurance was taken from NASA FIRMS Archive (https://firms.modaps.eosdis.nasa.gov/download/) and Global VGT burnt area product 2000-2007 (http://forobs.jrc.ec.europa.eu/products/burnt_areas_L3JRC/GlobalBurntAreas2000-2007.php) -raw data on soil moisture was taken from TRMM USGS soil moisture data. NASA LPRM/TMI/TRMM Daily L3 Day Surface Soil Moisture, Ancillary Params, and QC Jessica Ferner Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn Junior Researcher +49 (0)228-73-1831 Bonn 53113 Germany ferner@uni-bonn.de Reginald Tang Guuroh Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn Junior Researcher +49 (0)228-73-1831 Bonn 53113 Germany guuroh@yahoo.co.uk https://wascal-dataportal.org/geonetwork/srv/eng/resources.get?uuid=28bba596-c52b-4cea-8f48-fa1b6197eb8b&fname=type_database.png large_thumbnail png grazing overgrazing livestock livestock farming living environment environment abiotic environment abiotic factor biotic factor soil soil analysis soil chemistry soil fertility soil moisture soil profile fire vegetation vegetation cover vegetation type fodder fodder plant arid land semi-arid land ecosystem biotope protection animal husbandry animal nutrition feeding of animals biomass GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet forage quality forage quantity vegetation relevées Ghana Burkina Faso Region 2006-09-22 geonetwork.thesaurus.external.place.regions Nothern Ghana Southern Burkina Aniabisi Nazinga Dakrema Access upon request to the originators environment -2.285119598419064 -0.3075805361943132 8.696843390387354 13.524923718849402 2012-05-01 2014-10-31 Descriptions of all variables (and units) are included in the database (design view) MS Access 2016 Jessica Ferner Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn ferner@uni-bonn.de Please contact distributor via email to get access permission. https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=28bba596-c52b-4cea-8f48-fa1b6197eb8b&fname=&access=private WWW:DOWNLOAD-1.0-http--download File to download https://www.researchgate.net/profile/Anja_Linstaedter/publication/276853081_Spectral_indicators_of_forage_quality_in_West_Africas_tropical_savannas/links/556d639908aeab777223266b.pdf WWW:LINK-1.0-http--link Scientific paper Ferner, J., Linstädter, A., Südekum, K. H., & Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa’s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106. http://www.worldclim.org/ WWW:LINK-1.0-http--link Source of climate data Climate data was taken from WorldClim https://firms.modaps.eosdis.nasa.gov/download/ WWW:LINK-1.0-http--link Source of fire occurance data Raw data on fire occurance was taken from NASA FIRMS Archive http://forobs.jrc.ec.europa.eu/products/burnt_areas_L3JRC/GlobalBurntAreas2000-2007.php WWW:LINK-1.0-http--link Source of fire occurance data Raw data on fire occurance was taken from Global VGT burnt area product 2000-2007 Data quality of forage variables modelled from hyperspectral reflectance is: Model adjR² nRMSE [%] metabolisable enery 0.56 11.7 green biomass 0.64 11.3