Data for: Underprediction of extirpation and colonisation following climate and land-use change using species distribution models
SND-ID: 2023-83-1. Version: 1. DOI: https://doi.org/10.5878/xt40-pv58
Associated documentation
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Citation
Creator/Principal investigator(s)
Alistair Auffret
- Swedish University of Agricultural Sciences, Department of Ecology
Hedvig Nenzén
- Swedish University of Agricultural Sciences, Swedish Species Information Centre
Ester Polaina
- Swedish University of Agricultural Sciences, Department of Ecology
Research principal
Swedish University of Agricultural Sciences
- Department of Ecology
Principal's reference number
SLU.ekol.2023.4.4.IÄ-12
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,
... Show more..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=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF8 LC_IDENTIFICATION=C
time zone: Europe/Stockholm
tzcode source: system (glibc)
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] visreg_2.7.0
loaded via a namespace (and not attached):
[1] compiler_4.3.1 grid_4.3.1 lattice_0.21-8 Show less..
Data contains personal data
No
Language
Geographic spread
Geographic location: Sweden
Geographic description: The provinces of Bohuslän, Öland and Uppland
Responsible department/unit
Department of Ecology
Funding 1
-
Funding agency:
The Swedish Research Council Formas
- Funding agency's reference number: 2015-1065
- Project name on the application: Responses in floral diversity and distributions to changes in land use and climate
Funding 2
-
Funding agency:
The Swedish Research Council
- Funding agency's reference number: 2020-04276
- Project name on the application: Interacting effects of land-use and climate change on biodiversity
Research area
Ecology (Standard för svensk indelning av forskningsämnen 2011)
Biota (INSPIRE topic categories)
Environment (INSPIRE topic categories)
Keywords
Community dynamics, Ecology, Landscape parameter, Land cover, Land use
Auffret, A.G., Nenzén, H., Polaina, E., 2024, Underprediction of extirpation and colonisation following climate and land-use change using species distribution models, Diversity and Distributions. (Accepted)
If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.
