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52 results
- Data for: Genetic identification of African pangolins and their origin in illegal tradeseizure data
- Dataset
- Data for: Predicting the Tangible and Intangible Costs of Co-occurring with WildlifeData description Column names int#= interview number spp_mentioned= number of species mentioned per each participant deer= 1 if mentioned or 0 if not mentioned snakes=1 if mentioned or 0 if not mentioned multinc= multiple income (0 no or 1 yes) age= age (in intervals) havefarm= Farm ownership (0 no or 1 yes) liverural= rural residency (0 no or 1 yes) likefore= like forests (5 levels) forestbene = forests benefits (5 levels)
- Dataset
- Data for: A human ecological analysis of water conflict in rural areas: Evidence from IranData can be used in the SPSS software.
- Dataset
- Data for: Identifying new sites of conservation significance for waterbirds and their habitat status in the Yellow and Bohai Seas in ChinaThe detailed waterbird survey data at the 26 sites along Yellow and Bohai seas in China
- Dataset
- Data for: Gravity model toolbox: an automated and open-source ArcGIS tool to build and prioritize the corridors of urban green space for biodiversity conservationThe Gravity model toolbox, a programmed ArcGIS tool to map and prioritize the potential corridors of urban green space.
- Dataset
- Data for: Ecological specialization and population trends in European breeding birdsDataset with information about avian species population trends (calculated on data provided in Stephens et al. 2016) and level of specialization for each species in several axes of ecological specialization (calculated following the procedure indicated in Morelli et al. 2019). Fields: Species; Max.trend; Min.trend; Mean.trend; SD Trend; no.countries; Trend_categories; Diet.specialization; Foraging.behav.specialization; Foraging.subst.specialization; Habitat.specialization; Nesting.site.specialization; Mean.specialization. References: Morelli, F., Benedetti, Y., Møller, A.P., Fuller, R.A., 2019. Measuring avian specialization. Ecol. Evol. 9, 8378–8386. doi:10.1002/ece3.5419 Stephens, P.A., Mason, L.R., Green, R.E., Gregory, R.D., Sauer, J.R., Alison, J., Aunins, A., Brotons, L., Butchart, S.H.M., Campedelli, T., Chodkiewicz, T., Chylarecki, P., Crowe, O., Elts, J., Escandell, V., Foppen, R.P.B., Heldbjerg, H., Herrando, S., Husby, M., Jiguet, F., Lehikoinen, A., Lindström, Å., Noble, D.G., Paquet, J.-Y., Reif, J., Sattler, T., Szép, T., Teufelbauer, N., Trautmann, S., van Strien, A.J., van Turnhout, C.A.M., Vorisek, P., Willis, S.G., 2016. Consistent response of bird populations to climate change on two continents. Science 352, 84–87. doi:10.1126/science.aac4858
- Dataset
- Data for: Plant species richness of alpine grasslands and their responses to different precipitation scenarios in TibetSite species richness and 20 environmental factors
- Dataset
- Data for: Population structure and regeneration status of woody species in a remnant tropical forest: A case study of South Nandi forest, Kenya.Forest vegetation data collected from South Nandi Forest, Kenya in 2016
- Dataset
- Data for: Population Genetics Assessment Model Reveals Priority Protection of Genetic Resources in Native Pig Breeds in ChinaAdditional file 1: Information of 70 native pig breeds and 3 commercial pig breeds Additional file 2: Information of 116 haplotypes and frequencies
- Dataset
- Data for: Complex response of vegetation to grazing suggests need for coordinated, landscape-level approaches to grazing management.Point-intercept data recorded as both the number of points when a species was observed, as well as simple presence / absence data for 10 sub-samples within 3 replicate plots for 3 grazing treatments over a 20-year period. Major plant functional groups and taxonomic families included.
- Dataset
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