Data for: Underprediction of extirpation and colonisation following climate and land-use change using species distribution models
type: Dataset
distribution: Landing page for the dataset
description: Associated dataset for published paper. The dataset contains data used for evaluating the performance of species distribution models in relation to species’ climate associations, and experienced changes in climate and land use. First, ensemble species distribution models were built for 84 vascular plant species in three provinces in Sweden (Bohuslän, Öland and Uppland) using historical climate (1961-1970), land use (1940s-1960s) and species observations (approx. 1910-1945) in 1055 5 × 5 km grid cells. Then these models were evaluated using internal cross-validation (predicting presences in the same time period in a subset of withheld grid cells) and independent temporal validation, where models were re-parameterised using modern climate (2001-2010) and land-use data (2018), and predicted presences compared to modern observed occurrences (1990-2020). This dataset contains the proportion of observed colonisations, persistences and extirpations (local extinctions) for each species, together with species’ climate and habitat associations. It also contains the proportion of observed colonisations, persistences and extirpations for all species in each grid cell, together with the observed changes in climate (mean annual temperature) and land use (grassland abandonment). Please see the README file for information regarding the data files and the variables within. SpeciesData.csv: 84 rows × 24 columns GridSquareData.csv: 1038 rows × 23 columns Output (AnalysisCode_log.txt and pdf plots) kan be generated by running: Rscript AnalysisCode.R > AnalysisCode_log.txt Session info (also included in the log file): R version 4.3.1 (2023-06-16) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Gentoo Linux Matrix products: default BLAS: /usr/lib64/libblas.so.3.11.0 LAPACK: /usr/lib64/R/lib/libRlapack.so; LAPACK version 3.11.0 locale: [1] LC_CTYPE=C.UTF8 LC_NUMERIC=C LC_TIME=C.UTF8 [4] LC_COLLATE=C.UTF8 LC_MONETARY=C.UTF8 LC_MESSAGES=C.UTF8 [7] LC_PAPER=C.UTF8 LC_NAME=C LC_ADDRESS=…
description: Associerade data för en publicerad artikel. Data avser hur modellerade och observerade kolonisationer, lokalt utdöende och fortlevande av 84 kärlväxtarter mellan 1910-1945 och 1990-2020 är relaterade förändringar i markanvändning och klimat. Se den engelska beskrivningen för mer information. Se README-filen för information angående filerna och dess variabler. SpeciesData.csv: 84 rader × 21 kolumner GridSquareData.csv: 1038 rader × 19 kolumner Utdata (AnalysisCode_log.txt och pdf:er) kan skapas genom att köra : Rscript AnalysisCode.R > AnalysisCode_log.txt För sessionsinformation vid körning, se engelsk beskrivning och slutet på loggfilen. @sv
modified: 2024-04-04T10:48:16.144797Z
issued: 2024-03-28T10:25:02.171015Z
publisher: Swedish University of Agricultural Sciences
access rights: PUBLIC
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Alistair Auffret
    type: Agent
    account: https://orcid.org/0000-0002-4190-4423
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Hedvig Nenzén
    type: Agent
    account: https://orcid.org/0000-0002-0189-4283
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Ester Polaina
    type: Agent
    account: https://orcid.org/0000-0002-5064-5881
    type: PrivateIndividual(s)
contact point: Individual
  fn: Unknown
keyword: COMMUNITY DYNAMICS
keyword: ecology
keyword: ekologi @sv
keyword: landscape parameter
keyword: Land cover
keyword: Landtäcke @sv
keyword: Land use
keyword: Markanvändning @sv
keyword: Plantae
keyword: egentliga växter @sv
temporal: PeriodOfTime
  start date: 1910
  end date: 2020
language: ENG
spatial: Sweden

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: Data for: Underprediction of extirpation and colonisation following climate and land-use change using species distribution models
availability: stable

Swedish University of Agricultural Sciences
type: Agent
name: Sveriges lantbruksuniversitet @sv
type: Academia-ScientificOrganisation
source: 02yy8x990

Sweden
type: Location
label: Sverige @sv