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Species_point_data.csv (237.97 kB)
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species_env_layers.csv (2.26 kB)
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species_env_layers_pca_p.csv (2.37 kB)
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environmental_data.zip (464.41 MB)
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target group background files.zip (3.86 MB)
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bias_grids.zip (109.62 MB)
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cross_validations.zip (11.31 kB)
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correlation.csv (23.51 kB)
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kulczynski.csv (23.65 kB)
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priority_rankings.zip (924 MB)
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abs.diff.ranks.combined.csv (1.39 kB)
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overlaps.zip (3.21 kB)
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Muscatello_code_forWeb.R (52.04 kB)
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Muscatello et al. (2020) How decisions about fitting species distribution models affect conservation outcomes - data and code

dataset
posted on 2020-12-21, 06:35 authored by Angela MuscatelloAngela Muscatello, ROSEMARY ELITHROSEMARY ELITH, HEINI KUJALA
Input data, results and code used in the article Muscatello et al. (2021) "How decisions about fitting species distribution models affect conservation outcomes".

The species data are originally sourced from the Atlas of Living Australia (https://www.ala.org.au/) and BioNet (http://www.bionet.nsw.gov.au/). These and the environmental layers are a subset of data cleaned and collated by Kujala et al. (2015) (https://doi.org/10.1016/j.biocon.2015.08.017). We thank A. Whitehead, who compiled the original species data records and environmental variables.

Please cite this paper when using data or code from this repository:

Muscatello, A., Elith, J. & Kujala, H. (2021) How decisions about fitting species distribution models affect conservation outcomes. Conservation Biology, DOI: 10.1111/cobi.13669.

Funding

Australian Research Centre Discovery Project grant DP160101003

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