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This dataset provides an indication of how ‘important’ a given area is for amphibians, birds, mammals, reptiles and a representative set of plant taxa whose distribution overlap by aggregating rarity values, a richness value which takes into account the number of species and the size the range of the species (i.e. a measure of endemism). Conservation status data was used to select a subset of threatened species, based on data from the IUCN Red List and the ThreatSearch online database (BGCI 2019). Given that extinction risk data is not available for all species considered in the analyses, users should be aware of the taxonomic bias of the layer. |
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This dataset provides an indication of how ‘important’ a given area is for amphibians, birds, mammals, reptiles and a representative set of plant taxa whose distribution overlap by aggregating rarity values, a richness value which takes into account the number of species and the size the range of the species (i.e. a measure of endemism). Conservation status data was used to select a subset of threatened species, based on data from the IUCN Red List and the ThreatSearch online database (BGCI 2019). Given that extinction risk data is not available for all species considered in the analyses, users should be aware of the taxonomic bias of the layer. |
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UNEP-WCMC (2020) Threatened rarity-weighted species richness refined by area of habitat derived from range maps from the IUCN Red List (IUCN Red List of Threatened Species (2019) Version 2019.2. www.iucnredlist.org), the Global Assessment of Reptile Distributions (GARD) (Roll et al. (2017), Version 1.5, datadryad.org/stash/dataset/doi:10.5061/dryad.83s7k) and the Botanical Information and Ecology Network (BIEN) database (Enquist et al. 2019 and Maitner et al. 2017, version 4.1. http://bien.nceas.ucsb.edu/bien/biendata/) and additional vascular plant species ranges were created from point data from the IUCN Red List, Botanic Gardens Conservation International (BGCI) (www.bgci.org) and the Global Biodiversity Information Facility (GBIF) (www.gbif.org).the IUCN Red List, BirdLife International. . Available at https://url6.mailanyone.net/v1/?m=1kL5ED-0000Hi-62&i=57e1b682&c=6H4IGhp8ksv1E4ECN0xU4WWJbOM4Hku73Awu8gKxsfpVl_qogxBRxsYR1QBsXYr3KHQzeC8LueagaLPj2Fe7f3NGT9Tjct7rAaBc0pcEvwx_7OPN6et1kX1Ly2axLaK36V6ewyCRgPsnznbPXOx_3tD-NqxJWja7fUi0nTgJAJVFE8mbM1xNIjUckIGxShu7VMMdUTEIRKSHjGscNkYUPw; |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>This Rarity-weighted richness is a measure of assessing biodiversity or conservation value that combines endemism and species richness (number of species) of amphibians, birds, mammals, reptiles and a representative set of plant taxa in each 10 km cell. This index lowers the contribution of wide ranging species to the overall species richness and thus highlights the areas that have a relatively high proportion of narrow‐range species. </SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Species ranges were rasterised at 1 km resolution from polygon maps from the IUCN Red List (IUCN Red List of Threatened Species (2019) Version 2019.2. www.iucnredlist.org), the Global Assessment of Reptile Distributions (GARD) (Roll et al. (2017), Version 1.5, datadryad.org/stash/dataset/doi:10.5061/dryad.83s7k) and the Botanical Information and Ecology Network (BIEN) database (Enquist et al. 2019 and Maitner et al. 2017, version 4.1. http://bien.nceas.ucsb.edu/bien/biendata/). Additional vascular plant species ranges were created from point data from the IUCN Red List (IUCN Red List of Threatened Species (2019) Version 2019.2. www.iucnredlist.org), Botanic Gardens Conservation International (BGCI) (www.bgci.org) and the Global Biodiversity Information Facility (GBIF) (www.gbif.org). Species range maps were refined, when possible, by removing unsuitable areas using information on species' habitat preferences and species' known altitudinal limits obtained from the IUCN Red List and collated from the scientific literature. Habitat distributions were obtained from the global map of terrestrial habitat types (Jung et al. in prep), while altitudinal data was obtained from the Global Multi-resolution Terrain Elevation Data (GMTED2010) (USGS) and Global 30 Arc-Second Elevation (GTOPO30). For species without habitat preference information, such as those with modelled ranges, anthropogenic land use classes from the map of terrestrial habitat types were used to remove potentially unsuitable areas within their ranges. This refinement process produced Area of Habitat (AOH) maps for each species (Brooks et al. 2019). Each grid cell of the species’ AOH was then scored by the proportion of the species’ AOH the cell represents (i.e., AOH in grid cell/AOH). The rarity-weighted richness score for each cell was then calculated by summing scores across all species.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Conservation status data was used to select a subset of threatened species in categories 'Critically Engangered', 'Endangered' and 'Vulnerable', , based on data from the IUCN Red List and the ThreatSearch online database (BGCI 2019). Given that extinction risk data is not available for all species considered in the analyses, users should be aware of the taxonomic bias of the layer.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>To limit geographic bias, due to the plant data being incomplete, AOH maps were split into 10 representative sets. For each set, the rarity-weighted richness was calculated based on AOH at 10km resolution, and scaled between 0 and 1. The average score from these maps was then used to create the final map of rarity-weighted richness. Higher values occur in cells with more species that have smaller ranges (i.e. both the number of species and the degree to which their ranges are restricted contribute to the rarity-weighted richness score).</SPAN></SPAN></P><P /><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>References</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Brooks, T. M. et al. (2019). Measuring Terrestrial Area of Habitat (AOH) and Its Utility for the IUCN Red List. Trends in Ecology & Evolution 34:977–986. doi.org/10.1016/j.tree.2019.06.009.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Enquist, B.J. et al. (in prep.). Botanical big data shows that plant diversity in the New World is driven by climatic-linked differences in evolutionary rates and biotic exclusion.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Global 30 Arc-Second Elevation (GTOPO30) Digital Object Identifier (DOI) number: /10.5066/F7DF6PQS</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Jung, M., P. R. Dahal, S. H. M. Butchart, P. F. Donald, X. De Lamo, M. Lesiv, V. Kapos, C. Rondinini, and P. Visconti. 2020. A global map of terrestrial habitat types. Scientific Data 7:256.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Maitner, B.S. et al. (2017). The BIEN R package: A tool to access the Botanical Information and Ecology Network (BIEN) database. Methods in Ecology and Evolution; 9:373–379. doi/10.1111/2041-210X.12861.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Roll, U. et al. (2017), The global distribution of tetrapods reveals a need for targeted reptile conservation, Nature Ecology & Evolution, 1: 1677–1682, doi.org/10.1038/s41559-017-0332-2.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV> |