DOI: 10.5061/dryad.0k6djhb6g
title: Known distribution of Uruguayan amphibians and environmental predictors

description: Fuzzy logic modeling was employed to assess the distribution of amphibians
 in Uruguay using both expert knowledge and observational records. Fuzzy
 logic allowed for the assignment of continuous values between 0 and 1 to
 propositions based on fuzzy logical assumptions about the relationship
 between species and their environment. Models based on expert knowledge
 and species records were compared and combined, focusing on threatened
 species, those considered ubiquitous, and non-threatened/non-ubiquitous
 species. Results demonstrated equal or superior performance for threatened
 species according to expert knowledge compared to models based on species
 records, even when both had to classify the same set of records. Expert
 models predicted more restrictive favorable territories for threatened
 species. On the other hand, models based on observed records yielded the
 best-fitted models for non-threatened non-ubiquitous species and
 ubiquitous species. In summary, fuzzy logic proved to be an effective tool
 for integrating expert knowledge and observational records in species
 distribution modeling.
description: The recorded distribution, information on the geo-referenced
 occurrences of the species was extracted from the amphibian collection
 database of the Faculty of Sciences of the University of the Republic of
 Uruguay (Grattarola et al., 2020), and from the work of Núñez et al.
 (2004). According to experts sources, we considered the grid cells totally
 or partially contained in the range established by the experts for each
 species as grid cells with presence of the species (Maneyro and Carreira,
 2012). 0 in the table indicate the grids without presences confirmed
 according to both sources of inormation, and therefore considered absences
 os pseudoabsences in the modelling procedure, in each case.
 1. Grattarola F, Martínez-Lanfranco JA, Botto G, Naya DE, Maneyro
 R, Mai P, Hernández D, Laufer G, Ziegler L, González EM, da Rosa I, Gobel
 N, González A, González J, Rodales AL, Pincheira-Donoso D. Multiple forms
 of hotspots of tetrapod Biodiversity and the challenges of open-access
 data scarcity. Sci Rep. 2020;10:22045.) 2. Núñez D,
 Maneyro R, Langone J, de Sá RO. Distribución geográfica de la fauna de
 Anfibios del Uruguay. In: Smithsonian Herpetological Information Service.
 2004. 3. Maneyro R and Carreira S. Guía de anfibios del
 Uruguay. In: Colección Ciencia Amiga. Uruguay; 2012.
description: # Known distribution of Uruguayan amphibians and environmental predictors
 Database with the presence
 of all amphibian species in Uruguay, both according to the knowledge of
 experts (from polygons with presence determined by them), and according to
 known field records. ## Description of the data and file structure An
 excel is presented, with two sheets. On the first sheet, the codes of the
 variables used in the analytical process of modeling the distribution of
 the species are explained. First appears the list of species, codes
 (acronyms) and detailed scientific name. And, secondly, the environmental
 variables or predictors, codes, and description of the variables or
 variable names. On the second sheet, all the variables appear in the same
 order, first the columns of the presences (1) and absences (0) of all the
 species, according to both sources of information analyzed (records (Rec)
 and experts (Exp)). Next are the columns of the environmental variables
 used in the modeling process. The first column contains the ID or
 identifier of each grid in the country of Uruguay (10 km x 10 km) into
 which the study area was divided. ## Sharing/Access information Links to
 other publicly accessible locations of the data: * The recorded
 distribution, information on the geo-referenced occurrences of the species
 was extracted from the amphibian collection database of the Faculty of
 Sciences of the University of the Republic of Uruguay (Grattarola et al.,
 2020), and from the work of Núñez et al. (2004). According to experts
 sources, we considered the grid cells totally or partially contained in
 the range established by the experts for each species as grid cells with
 presence of the species (Maneyro and Carreira, 2012). 0 in the table
 indicate the grids without presences confirmed according to both sources
 of inormation, and therefore considered absences os pseudoabsences in the
 modelling procedure, in each case. Data was derived from the following
 sources: * 1\. Grattarola F, Martínez-Lanfranco JA, Botto G, Naya DE,
 Maneyro R, Mai P, Hernández D, Laufer G, Ziegler L, González EM, da Rosa
 I, Gobel N, González A, González J, Rodales AL, Pincheira-Donoso D.
 Multiple forms of hotspots of tetrapod Biodiversity and the challenges of
 open-access data scarcity. Sci Rep. 2020;10:22045.) 2\. Núñez D, Maneyro
 R, Langone J, de Sá RO. Distribución geográfica de la fauna de Anfibios
 del Uruguay. In: Smithsonian Herpetological Information Service. 2004. 3\.
 Maneyro R and Carreira S. Guía de anfibios del Uruguay. In: Colección
 Ciencia Amiga. Uruguay; 2012.