Using null models to identify under-represented species in protected areas: A case study using European amphibians and reptiles

Sánchez Fernández, David; Abellán, Pedro

Publication:
Using null models to identify under-represented species in protected areas: A case study using European amphibians and reptiles

dc.contributor.author	Sánchez Fernández, David
dc.contributor.author	Abellán, Pedro
dc.contributor.department	Ecología e Hidrología
dc.date.accessioned	2024-02-06T12:21:20Z
dc.date.available	2024-02-06T12:21:20Z
dc.date.issued	2015-02-21
dc.description	©2015. This document is the Published version of a Published Work that appeared in final form in Biological Conservation. To access the final edited and published work see http://dx.doi.org/10.1016/j.biocon.2015.02.006	es
dc.description.abstract	One of the main issues in conservation biology is assessing how much biodiversity is currently represented in protected areas (PA). Traditional approaches such as ‘gap analysis’ require the choice of arbitrary targets and thresholds that can greatly influence the obtained results. We present here a complementary approach that avoids typical methodological uncertainties being particularly useful when the aim is to explore differences in the effectiveness of PA networks in representing species with distinct features and varying range sizes. Firstly, we calculated how far the distribution of a species overlaps with a network. Then, null models were used to test if this value is significantly different from random expectations (i.e. compared with random species of the same number of occurrences), which allowed over and underrepresented species to be identified. Using this approach, we aimed to determine how well amphibian and terrestrial reptile species in Europe were represented by two protected area networks: nationally designated protected areas (NPAs) and the Natura 2000 network (N2000). We also tested to see if there were any differences in species representation depending upon their conservation status, range size and distribution type. Although N2000 is more effective than NPAs, both PA networks performed poorly in representing European amphibians and reptiles, as the level of representativeness for most species (excepting reptiles in N2000) within these networks was either not significantly different or significantly lower than expected by chance. A combination of this approach with traditional gap analyses could provide valuable information to improve the future effectiveness of PAs.	es
dc.format	application/pdf	es
dc.format.extent	10	es
dc.identifier.citation	Biological Conservation 184 (2015) 290–299
dc.identifier.doi	http://dx.doi.org/10.1016/j.biocon.2015.02.006
dc.identifier.issn	0006-3207
dc.identifier.issn	1873-2917
dc.identifier.uri	http://hdl.handle.net/10201/138746
dc.language	eng	es
dc.publisher	Elsevier	es
dc.relation	Sin financiación externa a la Universidad	es
dc.rights.accessRights	info:eu-repo/semantics/restrictedAccess
dc.subject	Effectiveness of protected areas	es
dc.subject	Biodiversity	es
dc.subject	Gap analysis	es
dc.subject	Mean percentage overlap (MPO)	es
dc.subject	Natura 2000	es
dc.subject.other	CDU::5 - Ciencias puras y naturales::57 - Biología	es
dc.title	Using null models to identify under-represented species in protected areas: A case study using European amphibians and reptiles	es
dc.type	info:eu-repo/semantics/article	es
dspace.entity.type	Publication	es