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Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas

EU biodiversity conservation policy is based on the Habitats Directive (92/43/EC), which aims that habitat types and species of Community interest should reach ‘favourable conservation status’. To this end, Member States are obliged to perform periodic assessment of species and habitat conservation...

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Autores principales: Kallimanis, A. S., Panitsa, M., Dimopoulos, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567195/
https://www.ncbi.nlm.nih.gov/pubmed/28827770
http://dx.doi.org/10.1038/s41598-017-09316-9
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author Kallimanis, A. S.
Panitsa, M.
Dimopoulos, P.
author_facet Kallimanis, A. S.
Panitsa, M.
Dimopoulos, P.
author_sort Kallimanis, A. S.
collection PubMed
description EU biodiversity conservation policy is based on the Habitats Directive (92/43/EC), which aims that habitat types and species of Community interest should reach ‘favourable conservation status’. To this end, Member States are obliged to perform periodic assessment of species and habitat conservation status through biodiversity monitoring, which, in almost all cases, was performed by experts implementing standardized field protocols. Here, we examine the quality of data collected in the field by non-experts (citizen scientists) for the conservation status assessment of habitat types, and specifically for the criteria ‘typical species’, ‘specific structures and functions’, and ‘pressures and threats’. This task is complicated and demands different types of field data. We visited two Natura 2000 sites and investigated four habitat types (two in each site) with non-experts and compared their data to the data collected by experts for accuracy, completeness and spatial arrangement. The majority of the non-expert data were accurate (i.e. non-experts recorded information they observed in the field), but they were incomplete (i.e. non-experts detected less information than the experts). Also, non-experts chose their sampling locations closer to the edge of the habitat, i.e. in more marginal conditions and thus in potentially more degraded conditions, than experts.
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spelling pubmed-55671952017-09-01 Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas Kallimanis, A. S. Panitsa, M. Dimopoulos, P. Sci Rep Article EU biodiversity conservation policy is based on the Habitats Directive (92/43/EC), which aims that habitat types and species of Community interest should reach ‘favourable conservation status’. To this end, Member States are obliged to perform periodic assessment of species and habitat conservation status through biodiversity monitoring, which, in almost all cases, was performed by experts implementing standardized field protocols. Here, we examine the quality of data collected in the field by non-experts (citizen scientists) for the conservation status assessment of habitat types, and specifically for the criteria ‘typical species’, ‘specific structures and functions’, and ‘pressures and threats’. This task is complicated and demands different types of field data. We visited two Natura 2000 sites and investigated four habitat types (two in each site) with non-experts and compared their data to the data collected by experts for accuracy, completeness and spatial arrangement. The majority of the non-expert data were accurate (i.e. non-experts recorded information they observed in the field), but they were incomplete (i.e. non-experts detected less information than the experts). Also, non-experts chose their sampling locations closer to the edge of the habitat, i.e. in more marginal conditions and thus in potentially more degraded conditions, than experts. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5567195/ /pubmed/28827770 http://dx.doi.org/10.1038/s41598-017-09316-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kallimanis, A. S.
Panitsa, M.
Dimopoulos, P.
Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas
title Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas
title_full Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas
title_fullStr Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas
title_full_unstemmed Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas
title_short Quality of non-expert citizen science data collected for habitat type conservation status assessment in Natura 2000 protected areas
title_sort quality of non-expert citizen science data collected for habitat type conservation status assessment in natura 2000 protected areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567195/
https://www.ncbi.nlm.nih.gov/pubmed/28827770
http://dx.doi.org/10.1038/s41598-017-09316-9
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