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UNEP-WCMC, University College London, Natural History Museum, Imperial College London, CSIRO Canberra, Luc Hoffmann Institute, University of Copenhagen, University of Sussex
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Tim Newbold; Lawrence Hudson; Andy Arnell; Sara Contu et al. (2016). Dataset: Global map of the Biodiversity Intactness Index, from Newbold et al. (2016) Science. Resource: Map of Biodiversity Intactness Index. Natural History Museum Data Portal (data.nhm.ac.uk). https://doi.org/10.5519/0009936
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No information provided
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2016
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Annual
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Africa
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1km
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The Biodiversity Intactness dataset shows global estimates of how land use pressures have affected the numbers of species and individuals found in samples from local terrestrial ecological assemblages. The map represents the average losses of originally present species. The datasets used 2,382,624 data points from the Projecting Responses of Ecological Diversity in Changing Terrestrial Systems (PREDICTS) database, a global database of how local terrestrial biodiversity responds to human impacts. The map modeled how richness and abundance respond to land use pressures. The models included 4 pressure variables—land use, land use intensity, human population density, and proximity to the nearest road. The values of the response variables were expressed relative to an intact assemblage undisturbed by humans.
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The models suggested a generally smaller impact of land use on the Biodiversity Intactness Index (BII) than that found in a previous study. The latter model may have overestimated the BII by ignoring lagged responses and using sites that often have experienced some human impact as baselines. The density of sampling is inevitably uneven; biomes that are particularly underrepresented, including boreal forests, tundra, flooded grasslands, and savannas and mangroves, produce fewer confidence results. The data is likely to underrepresent soil and canopy species.
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