Invasive forest pathogens in Europe: Cross-country variation in public awareness but consistency in policy acceptability View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-01

AUTHORS

Louise Eriksson, Johanna Boberg, Thomas L. Cech, Tamara Corcobado, Marie-Laure Desprez-Loustau, Ari M. Hietala, Marília Horta Jung, Thomas Jung, Hatice Tuğba Doğmuş Lehtijarvi, Funda Oskay, Slavtcho Slavov, Halvor Solheim, Jan Stenlid, Jonàs Oliva

ABSTRACT

Political action can reduce introductions of diseases caused by invasive forest pathogens (IPs) and public support is important for effective prevention. The public's awareness of IP problems and the acceptability of policies aiming to combat these pathogens were surveyed in nine European countries (N = 3469). Although awareness of specific diseases (e.g., ash dieback) varied, problem awareness and policy acceptability were similar across countries. The public was positive towards policies for informational measures and stricter standards for plant production, but less positive towards restricting public access to protected areas. Multilevel models, including individual and country level variables, revealed that media exposure was positively associated with awareness of IP problems, and strengthened the link between problem awareness and policy acceptability. Results suggest that learning about IPs through the media and recognizing the associated problems increase policy acceptability. Overall, the study elaborates on the anthropogenic dimension of diseases caused by IPs. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13280-018-1046-7

DOI

http://dx.doi.org/10.1007/s13280-018-1046-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101719941

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29572607


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

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284 https://www.grid.ac/institutes/grid.454322.6 schema:alternateName Norwegian Institute of Bioeconomy Research
285 schema:name Norwegian Institute of Bioeconomy Research, PO Box 115, 1431, Ås, Norway
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287 https://www.grid.ac/institutes/grid.45978.37 schema:alternateName Süleyman Demirel University
288 schema:name Department of Botany, Faculty of Forestry, Süleyman Demirel University, 32600, Isparta, Turkey
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290 https://www.grid.ac/institutes/grid.6341.0 schema:alternateName Swedish University of Agricultural Sciences
291 schema:name Department of Crop and Forest Sciences, ETSEA, University of Lleida, Av. Alcalde Rovira Roure, 191, 25198, Lleida, Spain
292 Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Box 7026, 750 07, Uppsala, Sweden
293 Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
294 rdf:type schema:Organization
295 https://www.grid.ac/institutes/grid.7157.4 schema:alternateName University of Algarve
296 schema:name Laboratory of Molecular Biotechnology and Phytopathology, Centre for Mediterranean Bioresources and Food, University of Algarve, Algarve, Portugal
297 Phytophthora Research Centre, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00, Brno, Czech Republic
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