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			"dct:modified": "2021-11-30T08:32:28.588Z",
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					},
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			"dct:description": "<div style='text-align:left;'><p style='text-align:justify;'><span style='font-size:16px;'>Grouped habitat map (22 classes) of the original 72 habitat types across the study region in East Africa for the project </span><span style='text-align:left; font-family:inherit; font-size:12pt;'>'</span><span style='text-align:left; font-family:inherit; font-size:16px;'>ECONOMIC VALUE OF EAST AFRICA’S </span><span style='text-align:left; font-family:inherit; font-size:16px;'>TRANSBOUNDARY WILDLIFE LANDSCAPES: </span><span style='text-align:left; font-family:inherit; font-size:16px;'>A Preliminary Natural Capital Assessment of </span><span style='text-align:left; font-family:inherit; font-size:16px;'>Four Selected Landscapes and </span><span style='text-align:left; font-family:inherit; font-size:16px;'>Assessment of the Current Trajectory'.</span></p><p style='text-align:justify;'><span style='font-size:16px;'>Following the data collation and regional overview, a detailed analysis was undertaken at a regional (East Africa) scale of spatial data on vegetation types, ecoregions, land cover, and biomass in conjunction with relevant ecological literature. Estimating the supply of ecosystem services across the landscape requires </span><span style='font-size:16px;'>a detailed representation of land cover and vegetation characteristics, as these have a strong influence over the spatial distribution and value of services provided. Our chosen ecosystem delineation method involved a combination of the land cover, vegetation type, and land condition datasets. We felt that combining these datasets to produce a single map of habitat types would produce the most accurate </span><span style='font-size:16px;'>possible representation of habitats across East Africa for the purposes of ecosystem service valuation. </span><span style='font-size:16px;'>We also used the IUCN’s Global Ecosystem typology to aid with the grouping of the habitat types we </span><span style='font-size:16px;'>identified. </span></p><p style='text-align:justify;'><span style='font-size:16px; text-align:left;'>The following datasets were used to produce our habitat map:</span></p><p><span style='font-size:16px;'>• Copernicus 100-meter land cover data for 2018 (Copernicus Global Land Operations);</span></p><p><span style='font-size:16px;'>• Potential natural vegetation map for East and Southern Africa (van Breugel et al., 2015) (WWF Ecoregions map used instead for South Sudan); and</span></p><p><span style='font-size:16px;'>• Change in the normalized difference vegetation index (NDVI) between 2001 and 2018 (Trends.Earth).</span><br /></p><p><span style='font-size:16px;'>There are </span><span style='font-size:16px;'>16 forest habitat types, 14 woodland habitat types, 12 grassland/wooded grassland habitat types, 19 </span><span style='font-size:16px;'>bushland/shrubland habitat types, 5 aquatic habitat types, 4 desert/bare habitat types, and 2 </span><span style='font-size:16px;'>anthropogenic types (cultivation built-up). The number of habitat types within each study area ranged </span><span style='font-size:16px;'>from 19 in the Rweru-Mugesera-Akagera Wetlands to 51 habitat types in the Great East African Plains.</span><br /></p></div>",
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