Replication data for plant community climatic distance in a field climate chang experiment

DOI

Location in the climatic niche over several years of plant comunities from a field manipulation experiment of climate change carried on in Garraf (Spain).

  1. Description of methods used for collection-generation of data: Field data: vegetation surveys based on transects within experimental plots Species distribution data: species occurrences along their geographical distributions were obtained from the database of the Global Biodiversity Information Facility GBIF 2019, ) Climate data: climatic variables were obtained for the period 1979-2013 at 1-km2 resolution from CHELSA v.1.2 database Karger et al. (2018) DOI: 10.1038/sdata.2017.122; Karger et al., (2017) DOI: 10.16904/envidat.228.v2.1

See details in DOI: 10.1111/1365-2745.14233

  1. Methods for processing the data: A principal component analysis (PCA) was applied to reduce the dimensionality of the 13 climatic variables to the first two PCA axes. The species occurrences from the geographic space were translated into the two-dimensional climatic space defined by the two PCA axes. A two-dimensional kernel density function was applied to the species occurrences in the climatic space. The centroid of each species niche was obtained as the center of gravity of the niche. The observed climate at the study site for the average of the experimental period 1999-2014 and for each year were translated into the two-dimensional climatic space. The Euclidean distance in the climatic space between community location (based on species centroid averaged weighed by species's abundance) and the location of the observed climate in the respective years was calculated.
Identifier
DOI https://doi.org/10.34810/data956
Related Identifier IsCitedBy https://doi.org/10.1111/1365-2745.14233
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data956
Provenance
Creator Pérez Navarro, María Ángeles (ORCID: 0000-0001-5553-995X); Lloret Maya, Francisco ORCID logo; Ogaya Inurrigarro, Romà ORCID logo; Estiarte, Marc ORCID logo; Peñuelas, Josep ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Lloret Maya, Francisco; Universitat Autònoma Barcelona
Publication Year 2023
Funding Reference Ministerio de Economía y Competitividad CGL2015-67419-R ; Agencia Estatal de Investigación PID2019-110521GB-I00 ; Agencia Estatal de Investigación PID2020-115264RB-I00 ; Ministerio de Ciencia e Innovación TED2021-132627B-I00 ; Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1001 ; Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00849 ; Generalitat Valenciana CIPROM/2021/63
Rights CC BY-NC 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess true
Contact Lloret Maya, Francisco (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
Representation
Resource Type Survey data; Dataset
Format text/tab-separated-values; text/plain
Size 17067; 8350
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences