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. The level of documentation may therefore differ from other data descriptions in the catalogue. For more information about the migration of data from ECDS to SND click 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

Download data

ECDS0225.zip (11.19 MB)

Responsible department/unit

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

Data contains personal data

No

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

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Publications

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). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Version 1.0

2018-06-08
https://doi.org/10.5879/ecds/2017-03-23.1/1

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Download data

ECDS0225.zip (11.19 MB)

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Species distribution modelling data for Phellinus ferrugineofuscus

Citation

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

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
Last updated: 2019-06-11