The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

• Published in: Ecology and evolution Vol. 7; no. 1; pp. 145 - 188
• Main Authors: Hudson, Lawrence N., Bedford, Felicity E., Bennett, Dominic J., Pan, Yuan, Pask‐Hale, Gwilym D., Sanchez‐Ortiz, Katia, Zhang, Hanbin, Adum, Gilbert B., Aguilar‐Barquero, Virginia, Albertos, Belén, Alignier, Audrey, Arbeláez‐Cortés, Enrique, Axmacher, Jan C., Banks, John E., Barlow, Jos, Bayne, Erin M., Beja, Pedro, Bicknell, Jake E., Bóçon, Roberto, Boekhout, Teun, Boutin, Céline, Calviño‐Cancela, María, Caparrós, Rut, Chapman, Kim Alan, Chauvat, Matthieu, Connop, Stuart P., Craig, Michael D., Domínguez, Erwin, Dreber, Niels, Dumont, Bertrand, Dynesius, Mats, Farwig, Nina, Fensham, Roderick J., Fırıncıoğlu, Hüseyin K., Fredriksson, Gabriella M., Gaigher, René, Ge, Bao‐Ming, Gheler‐Costa, Carla, Gilbert, Benjamin, Giordani, Paolo, Goulson, Dave, Gray, Claudia L., Gunawardene, Nihara R., Gutiérrez‐Lamus, Doris L., Hanson, Thor, Henschel, Philipp, Ishitani, Masahiro, Jacobs, Carmen T., Johnson, McKenzie F., Jonsell, Mats, Juliani, S. Nur, Kapoor, Vena, Kati, Vassiliki, Kirby, Kathryn R., Koivula, Matti, Kone, Mouhamadou, Kutt, Alex S., Lachat, Thibault, Lantschner, Victoria, Lucas‐Borja, Manuel Esteban, MacSwiney G, M Cristina, Mallari, Neil Aldrin, Marin‐Spiotta, Erika, Marshall, E. J. P., Martínez, Eliana, Mayfield, Margaret M., Mazimpaka, Vicente, McCarthy, Kyle P., Morales, Carolina L., Munira, A. Nur, Navarro‐Iriarte, Luis, Nilsson, Sven G., Numa, Catherine, Peri, Pablo L., Persson, Anna S., Pethiyagoda, Rohan S., Poggio, Santiago L., Poveda, Katja, Power, Eileen F., Ramirez‐Pinilla, Martha P., Rös, Matthias, Roth, Dana S., Roulston, T'ai H., Rubio, André V., Ruel, Jean‐Claude, Saldaña‐Vázquez, Romeo A., Sam, Katerina, Santana, Joana, Savage, Jade, Simonetti, Javier A., Smith‐Pardo, Allan H., Stefanescu, Constanti, Tonietto, Rebecca K., Vallan, Denis, Verdasca, Maria João, Virgilio, Massimiliano, Williams, Christopher D., Willig, Michael R., Wolf, Jan H. D., Mace, Georgina M.
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.01.2017; Wiley Open Access; Wiley; John Wiley and Sons Inc
• Subjects: Alterra - Biodiversiteit en beleid; Alterra - Biodiversity and policy; Bases de dades; Biodiversitat; Biodiversiteit en Beleid; Biodiversity; Biodiversity and Ecology; Biodiversity and Policy; Biologi; Biological diversity; Biological Sciences; Conservation biology; Councils; data sharing; Datasets; Ecological heterogeneity; Ecology; Ecology: 488; Ecosystems; Ekologi; Endangered & extinct species; Environmental Sciences; Extinction; Geography; global biodiversity modeling; global change; Global Changes; habitat destruction; Heterogeneïtat ecològica; Human influences; Land use; Matematikk og Naturvitenskap: 400; Mathematical models; Mathematics and natural science: 400; Metadata; Miljövetenskap; Natural Sciences; Naturvetenskap; Original Research; Regional development; Spatial analysis; Statistical analysis; Statistical methods; Statistical models; Terrestrial environments; Trends; VDP; Zoologiske og botaniske fag: 480; Zoology and botany: 480; Økologi: 488; global biodiversity modeling; land use; global change; data sharing; habitat destruction
• ISSN: 2045-7758; 2045-7758
• DOI: 10.1002/ece3.2579

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity. The collation of biodiversity datasets with broad taxonomic, biogeographic, and spatial extents is necessary to understand historical declines and to project—and hopefully avert—future declines. We describe and make freely available a database of more than 3.2 million biodiversity measurements from 94 countries representing over 47,000 species, collated from 480 existing spatial comparisons of local‐scale biodiversity exposed to different intensities and pressures relating to land use, from terrestrial sites around the world.