A multitaxonomic assessment of Natura 2000 effectiveness across European biogeographic regions.

Annex species Birds Directive EU Biodiversity Strategy for 2030 Habitats Directive Natura 2000 Propensity score matching

Journal

Conservation biology : the journal of the Society for Conservation Biology
ISSN: 1523-1739
Titre abrégé: Conserv Biol
Pays: United States
ID NLM: 9882301

Informations de publication

Date de publication:
30 Oct 2023
Historique:
revised: 11 10 2023
received: 23 03 2023
accepted: 18 10 2023
pubmed: 31 10 2023
medline: 31 10 2023
entrez: 31 10 2023
Statut: aheadofprint

Résumé

The Natura 2000 (N2K) protected area (PA) network is a crucial tool to limit biodiversity loss in Europe. Despite covering 18% of EU's land area, its effectiveness at conserving biodiversity across taxa and biogeographic regions remains uncertain. Testing this effectiveness is, however, difficult as it requires considering the non-random location of PAs, and many possible confounding factors. Here, we used propensity score matching accounting for the confounding effects of biogeographic regions, terrain ruggedness, and land cover, when assessing the effectiveness of N2K PAs on the distribution of 1,769 priority species from EU's Birds and Habitats Directives, including mammals, birds, amphibians, reptiles, arthropods, fishes, molluscs, vascular and non-vascular plants. We compared alpha, beta, and gamma diversity between matched selections of protected and non-protected areas across EU's biogeographic regions using generalized linear models, generalized mixed models, and non-parametric tests for paired samples, respectively, for each taxonomic group and for the entire set of species. While we found N2K PAs to host significantly more priority species than non-protected land, this difference was not consistent across biogeographic regions and taxa. Total alpha diversity as well as alpha diversity of amphibians, arthropods, birds, mammals, and vascular plants were significantly higher inside PAs than outside, except in the Boreal region. Beta diversity was in general significantly higher inside N2K PAs than outside. Similarly, gamma diversity showed the highest values within N2K PAs, with some exceptions in Boreal and Atlantic regions. The planned expansion of the N2K network, as dictated by the European Biodiversity Strategy for 2030, should therefore target areas in the southern part of the Boreal region, areas with high species diversity of amphibians, arthropods, birds, mammals, and vascular plants, which are currently underrepresented in the N2K network. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 37904665
doi: 10.1111/cobi.14212
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.

Auteurs

Lorenzo Ricci (L)

Department of Life, Health & Environmental Science, University of L'Aquila, Coppito, L'Aquila, Italy.

Michele Di Musciano (MD)

Department of Life, Health & Environmental Science, University of L'Aquila, Coppito, L'Aquila, Italy.
BIOME Lab, BiGeA Department, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Francesco Maria Sabatini (FM)

BIOME Lab, BiGeA Department, Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha, Czech Republic.

Alessandro Chiarucci (A)

BIOME Lab, BiGeA Department, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Piero Zannini (P)

BIOME Lab, BiGeA Department, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Roberto Cazzolla Gatti (RC)

BIOME Lab, BiGeA Department, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Carl Beierkuhnlein (C)

Department of Biogeography, University of Bayreuth, Bayreuth, Germany.
Bayreuth Center of Ecology and Environmental Research, BayCEER, University of Bayreuth, Bayreuth, Germany.
Geographical Institute of the University of Bayreuth, GIB, Bayreuth, Germany.

Anna Walentowitz (A)

Department of Biogeography, University of Bayreuth, Bayreuth, Germany.

Alexandra Lawrence (A)

Department of Biogeography, University of Bayreuth, Bayreuth, Germany.

Anna Rita Frattaroli (AR)

Department of Life, Health & Environmental Science, University of L'Aquila, Coppito, L'Aquila, Italy.

Samuel Hoffmann (S)

Department of Biogeography, University of Bayreuth, Bayreuth, Germany.
Bayerisches Landesamt für Umwelt, Hof/Saale, Germany.

Classifications MeSH