Species distribution modelling data for Phellinus ferrugineofuscus

This data description and associated data have been migrated from the ECDS portal to SND’s research data catalogue. This means that the level of documentation may differ from other data descriptions in the catalogue. You can find more information about the migration of data from ECDS to SND here.

Creator/Principal investigator(s):

Tord Snäll - Swedish University of Agricultural Sciences, the Swedish Species Information Centre orcid

Louise Mair - Newcastle University, Natural and Environmental Sciences

Description:

These data consist of citizen science observations of Phellinus ferrugineofuscus in Sweden and the associated environmental variables at each data point. The data include a presence-absence dataset, a presence-only dataset, background data, and repeat visit data used in occupancy modelling. The data were applied in species distribution modelling using a variety of methods and full details of data compilation, sources and application can be found in Mair et al. (2017) Ecology and Evolution 7:368-378.

Subject area:

Earth and Related Environmental Sciences, Biological Sciences (The Swedish standard of fields of research 2011)
Environment (INSPIRE topic categories)

Keywords:

Forest Conservation, Conifers, Fungi

Map:

Principal organisation:

Swedish University of Agricultural Sciences

Accessibility status:

Access to data through SND
Data are freely accessible

Download data:

ECDS0225.zip (11.19 MB)

Responsible department/unit:

Swedish University of Agricultural Sciences, the Swedish Species Information Centre

Creator/Principal investigator(s):

Tord Snäll - Swedish University of Agricultural Sciences, the Swedish Species Information Centre orcid

Louise Mair - Newcastle University, Natural and Environmental Sciences

Identifiers:

SND-ID: ECDS 0225

Description:

These data consist of citizen science observations of Phellinus ferrugineofuscus in Sweden and the associated environmental variables at each data point. The data include a presence-absence dataset, a presence-only dataset, background data, and repeat visit data used in occupancy modelling. The data were applied in species distribution modelling using a variety of methods and full details of data compilation, sources and application can be found in Mair et al. (2017) Ecology and Evolution 7:368-378.

Language:

English

Time period(s) investigated:

2000-01-01 — 2013-12-31

Geographic spread:

Geographic location: Sweden

Subject area:

Earth and Related Environmental Sciences, Biological Sciences (The Swedish standard of fields of research 2011)
Environment (INSPIRE topic categories)

Keywords:

Forest Conservation, Conifers, Fungi

Download metadata:

Publications

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Mair, L., Harrison, P. J., Jönsson, M., Löbel, S., Nordén, J., Siitonen, J., Lämås, T., Lundström, A. and Snäll, T. (2017), Evaluating citizen science data for forecasting species responses to national forest management. Ecology and Evolution, 7: 368–378. doi: 10.1002/ece3.2601
Libris Swepub Institutional Repository

If you have published anything based on these data, please notify us with a reference to your publication(s).

Version 1.0:

2018-06-08 doi:10.5879/ECDS/2017-03-23.1/1

Download data:

ECDS0225.zip (11.19 MB)

License:

Creative Commons License

Species distribution modelling data for Phellinus ferrugineofuscus

Suggested citation:

Tord Snäll, Louise Mair. Swedish University of Agricultural Sciences, the Swedish Species Information Centre (2018). Species distribution modelling data for Phellinus ferrugineofuscus. Swedish National Data Service. Version 1.0. https://doi.org/10.5879/ECDS/2017-03-23.1/1

Creator/Principal investigator(s):

Tord Snäll - Swedish University of Agricultural Sciences, the Swedish Species Information Centre orcid

Louise Mair - Newcastle University, Natural and Environmental Sciences

Description:

The data set consists of seven tab-delimited text files, in txt-format. The read_me file contains more information about the contents of the different files.

Data format / data structure:

Numeric

Published: 2018-06-08