Species distribution modelling data for Phellinus ferrugineofuscus

SND-ID: ecds0225-1. Version: 1.0. DOI: https://doi.org/10.5879/ecds/2017-03-23.1/1

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⁯ECDS0225.zip (11.19 MB)

Citation

Creator/Principal investigator(s)

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

Louise Mair - Newcastle University, Natural and Environmental Sciences

Research principal

Swedish University of Agricultural Sciences - the Swedish Species Information Centre

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.

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 contains personal data

Language

English

Method and outcome

Time period(s) investigated

2000-01-01 – 2013-12-31

Data format / data structure

Numeric

Data collection

Geographic coverage

Geographic spread

Geographic location: Sweden

Administrative information

Responsible department/unit

the Swedish Species Information Centre

Topic and keywords

Research area

Earth and related environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Biological sciences (Standard för svensk indelning av forskningsämnen 2011)

Environment (INSPIRE topic categories)

Keywords

Forest conservation, Conifers, Fungi

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
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Published: 2018-06-08

Last updated: 2019-06-11