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Neves, Tomé (2023): Presence data for the seven most widespread European shrews and R code for two Joint Species Distribution Models [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.910281

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Published: 2023-09-05DOI registered: 2023-09-05

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Abstract:
This dataset includes European presence data and sources for Crocidura leucodon, Crocidura suaveolens, Crocidura russula, Sorex araneus, Sorex coronatus, Sorex minutus and Suncus etruscus. Gathered from GBIF and several European museums.
Further, it includes the code to run two distinct Joint Species Distribution Models (JSDM): Pollock et al. (2014) and Clark et al. (2018).
Keyword(s):
Europe; Shrews; Soricidae
Related to:
R-code to run two distinct JSDM models: Pollock et al. (2014) and Clark et al. (2018). R-Code.zip
Further details:
Clark, Nicholas J; Wells, Konstans; Lindberg, Oscar (2018): Unravelling changing interspecific interactions across environmental gradients using Markov random fields. Ecology, 99(6), 1277-1283, https://doi.org/10.1002/ecy.2221
Pollock, Laura J; Tingley, Reid; Morris, William K; Golding, Nick; O'Hara, Robert B; Parris, Kirsten M; Vesk, Peter A; McCarthy, Michael A (2014): Understanding co-occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM). Methods in Ecology and Evolution, 5(5), 397-406, https://doi.org/10.1111/2041-210X.12180
Coverage:
Median Latitude: 50.237076 * Median Longitude: 8.742923 * South-bound Latitude: -33.916670 * West-bound Longitude: -175.150000 * North-bound Latitude: 71.285021 * East-bound Longitude: 160.933000
Event(s):
Europe_shrew * Latitude Start: -33.916670 * Longitude Start: -175.150000 * Latitude End: 71.285020 * Longitude End: 160.933000 * Method/Device: Multiple investigations (MULT)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1SpeciesSpeciesNeves, Tomé
2LATITUDELatitudeNeves, ToméGeocode
3LONGITUDELongitudeNeves, ToméGeocode
4CountryCountryNeves, Tomé
5Geographic name/localityLocalityNeves, Tomé
6YearsYearsNeves, Tomé
7Reference/sourceReferenceNeves, Tomé
Size:
676876 data points

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