Aggregated probability of occurrence of aquatic species per planning unit

Data and Resources

Additional Info

Field Nilai
Last Updated Agustus 8, 2018, 10:43 (UTC)
Dibuat Juli 27, 2018, 11:50 (UTC)
E-mail a.iglesias-campos@unesco.org
Language Eng
Abstract Species data available in the CS2 area are scarce and mostly based on presence-only data (lacking reliable information on true absences). This dataset contains the results of applying Species Distribution Models (SDM) to the species data. These models relate species occurrences to the environmental conditions at different locations (Domisch et al., 2017). Probabilities are aggregated to the planning units (sub-catchments and grids) considered in the CS2. The dataset shows the range-wide potential distribution of each species within its realm (i.e., freshwater, coastal and marine) in the CS2.
Resource type Spatial dataset
Spatial representation type vector
Lisensi CC-BY-4.0
Classification Environment
Creation date 2018-02-14
Publication date 2018-07-27
Last revision date 2018-02-14
INSPIRE theme Species distribution
Free keywords Species Distribution Model, endangered species, aquactic ecosystems, probability of presence
Temporal date 2018-07-27
Lineage This dataset resulted from the analysis of several sources. For more information please, see Barbosa et al. in press.
Responsible party Organisation: IGB
Email: domisch@igb-berlin.de
Role: Author
Related publications **Barbosa, A., Martín, B., Hermoso, V., Arévalo-Torres, J., Barbière, J., Martínez-López, J., Domisch, S., Langhans, S.D., Balbi, S., Villa, F., Delacámara, G., Teixeira, H., Nogueira, A.J.A., Lillebø, A.I., Gil-Jiménez, Y., Iglesias-Campos, A. in press. An Ecosystem-Based Management Approach for the spatial planning of Green and Blue Infrastructure at the Intercontinental Biosphere Reserve of the Mediterranean: Andalusia (Spain) – Morocco. STOTEN **Domisch, S., Amatulli, G., & Jetz, W. (2015). Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution. Scientific Data. http://doi.org/10.1038/sdata.2015.73 **Global Biodiversity Information Facility (GBIF). (2018). GBIF | Global Biodiversity Information Facility - Free and open access to biodiversity data. Retrieved June 13, 2018, from https://www.gbif.org/ **International Union for Conservation of Nature and Natural Resources (IUCN). (2000). The IUCN red list of threatened species. Retrieved June 13, 2018, from http://www.iucnredlist.org/technical-documents/spatial-data **Consejería de Agricultura Pesca y Medio Ambiente de la Junta de Andalucía. (2016). Libro Rojo, Lista Roja y Catálogo de especies amenazadas. Retrieved June 13, 2018, from http://www.juntadeandalucia.es/medioambiente/site/portalweb/menuitem.7e1cf46ddf59bb227a9ebe205510e1ca/?vgnextoid=b7bccff51be87410VgnVCM2000000624e50aRCRD&vgnextchannel=f51bb2c42f207310VgnVCM2000000624e50aRCRD&lr=lang_es **http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-hfiibrm **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-ecosystemservices **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-ecosystemcondition **http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-listofspeciesibrm **http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-gblsolution **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-gblselfreq **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-pus
Projections WGS 84 -- EPSG-4326
Spatial extent - North 36.97
Spatial extent - South 34.8
Spatial extent - East -4.68
Spatial extent - West -5.84

Dataset extent