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A low-cost and repeatable procedure for modelling the regional distribution of Natura 2000 terrestrial habitats
- Source :
- Journal of Maps, Vol 15, Iss 2, Pp 79-88 (2019)
- Publication Year :
- 2018
- Publisher :
- Taylor & Francis, 2018.
-
Abstract
- The present paper describes a procedure for mapping the distribution of Natura 2000 terrestrial habitats (Habitats Directive 92/43/EEC) at the regional scale (Lombardy, Northern Italy) by means of open-source software (QGIS and R). The habitat map within Natura 2000 sites was used for modelling the regional distribution of three selected habitats, by applying classification trees on freely available and fine-scale resolution environmental layers. Land use and forest type maps were combined to refine the regional distribution of selected habitats. The statistical validation showed a fairly substantial overall accuracy of predicted habitat distribution, which was used to determine the regional extent of the habitats and to evaluate the regional effectiveness of Natura 2000 network. We provide an easy and inexpensive procedure, replicable in other contexts in which just basic information on Natura 2000 terrestrial habitats are available, and usable for habitats monitoring according to the Habitats Directive.
- Subjects :
- spatial modelling
010504 meteorology & atmospheric sciences
Geography, Planning and Development
Habitats directive
land use
Natura 2000 network
vegetation monitoring
Earth and Planetary Sciences (miscellaneous)
Distribution (economics)
010502 geochemistry & geophysics
01 natural sciences
natura 2000 network
lcsh:G3180-9980
0105 earth and related environmental sciences
Planning and Development
lcsh:Maps
Land use
Geography
business.industry
Northern italy
Habitat
Environmental science
Physical geography
Habitats Directive
habitats directive
business
Natura 2000
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Journal of Maps, Vol 15, Iss 2, Pp 79-88 (2019)
- Accession number :
- edsair.doi.dedup.....d42cb3eb5c44814c7eb6417ceef011fc
- Full Text :
- https://doi.org/10.6084/m9.figshare.7410428