Ecosystem service coproduction across the zones of biosphere reserves in Europe

Author:

Palliwoda Julia1ORCID,Fischer Julia1ORCID,Felipe-Lucia María R.23ORCID,Palomo Ignacio45ORCID,Neugarten Rachel6ORCID,Büermann Andrea123,Price Martin F.7ORCID,Torralba Mario8ORCID,Eigenbrod Felix9ORCID,Mitchell Matthew G. E.10ORCID,Beckmann Michael1ORCID,Seppelt Ralf111ORCID,Schröter Matthias1ORCID

Affiliation:

1. Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany

2. Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

3. Department of Ecosystem Services, German Centre for Integrative Biodiversity Research (iDiV) Halle-Jena-Leipzig, Leipzig, Germany

4. Laboratoire d’Ecologie Alpine, UMR 5553, CNRS-Université Grenoble Alpes, Grenoble, France

5. Basque Centre for Climate Change, Parque Científico de Universidad del País Vasco/Euskal Herriko Unibertsitatea, Leioa, Spain

6. Department of Natural Resources and Environment, Cornell University, Ithaca, NY, USA

7. Centre for Mountain Studies, Perth College, University of the Highlands and Islands, Perth, UK

8. Faculty of Organic Agricultural Sciences, University of Kassel, Witzenhausen, Germany

9. School of Geography and Environmental Science, University of Southampton, Southampton, UK

10. Faculty of Land and Food Systems, University of British Columbia, Vancouver, Canada

11. Institute of Geoscience and Geography, Martin-Luther-University Halle-Wittenberg, Halle, Germany

Funder

Klaus Tschira Stiftung

Biodiversa

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Automotive Engineering,Ecology, Evolution, Behavior and Systematics

Reference92 articles.

1. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling

2. Austrian National MAB Committee. 2016. Criteria for BiosphereReserves in Austria. [accessed 2021 Aug 23]. http://www.biosphaerenparks.at/images/pdf/CriteriaAustrianBR_2016_eng.pdf, Vienna (Austria).

3. The world’s user-generated road map is more than 80% complete

4. Barton K. 2018. Package ‘MuMIn’ multi-model inference. Version 1.42.1. [accessed 2021 Aug 26]. https://cran.r-project.org/web/packages/MuMIn/index.html.

5. Conventional land‐use intensification reduces species richness and increases production: A global meta‐analysis

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