Download
1-s2.0-S0048969718347041-main.pdf 3,79MB
WeightNameValue
1000 Titel
  • Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin
1000 Autor/in
  1. Domisch, Sami |
  2. Kakouei, Karan |
  3. Martínez-López, Javier |
  4. Bagstad, Kenneth |
  5. Magrach, Ainhoa |
  6. Balbi, Stefano |
  7. Villa, Ferdinando |
  8. Funk, Andrea |
  9. Hein, Thomas |
  10. Borgwardt, Florian |
  11. Hermoso, Virgilio |
  12. Jähnig, Sonja C. |
  13. Langhans, Simone |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-11-28
1000 Erschienen in
1000 Quellenangabe
  • 656(15):797-807
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.scitotenv.2018.11.348 |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S0048969718347041#s0075 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Freshwater biodiversity is declining, despite national and international efforts to manage and protect freshwater ecosystems. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively balance ecological and societal needs. However, this raises the question of how social and ecological objectives can be included in an integrated management plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and ESS supply and demand. We illustrate this model-coupling approach within the Danube River Basin using the spatially explicit, potential distribution of (i) 85 fish species as a surrogate for biodiversity as modelled using hierarchical Bayesian models, and (ii) four estimated ESS layers produced by the Artificial Intelligence for Ecosystem Services (ARIES) platform (with ESS supply defined as carbon storage and flood regulation, and demand specified as recreation and water use). These are then used for (iii) a joint spatial prioritisation of biodiversity and ESS employing Marxan with Zones, laying out the spatial representation of multiple management zones. Given the transboundary setting of the Danube River Basin, we also run comparative analyses including the country-level purchasing power parity (PPP)-adjusted gross domestic product (GDP) and each country's percent cover of the total basin area as potential cost factors, illustrating a scheme for balancing the share of establishing specific zones among countries. We demonstrate how emphasizing various biodiversity or ESS targets in an EBM model-coupling framework can be used to cost-effectively test various spatially explicit management options across a multi-national case study. We further discuss possible limitations, future developments, and requirements for effectively managing a balance between biodiversity and ESS supply and demand in freshwater ecosystems.
1000 Sacherschließung
lokal Ecosystem services
lokal Species distribution model
lokal Ecosystem-based management
lokal Model coupling
lokal ARIES
lokal Marxan with Zones
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-8127-9335|https://orcid.org/0000-0001-8665-6841|https://orcid.org/0000-0002-0825-7252|https://orcid.org/0000-0001-8857-5615|https://frl.publisso.de/adhoc/uri/TWFncmFjaCwgQWluaG9h|https://orcid.org/0000-0001-8190-5968|https://orcid.org/0000-0002-5114-3007|https://orcid.org/0000-0002-0568-1234|https://orcid.org/0000-0002-7767-4607|https://orcid.org/0000-0002-8974-7834|https://orcid.org/0000-0003-3205-5033|https://orcid.org/0000-0002-6349-9561|https://orcid.org/0000-0001-9581-3183
1000 Label
1000 Förderer
  1. Horizon 2020 Framework Programme |
  2. H2020 Marie Skłodowska-Curie Actions |
  3. Bundesministerium für Bildung und Forschung |
  4. Ministerio de Ciencia, Innovación y Universidades |
  5. U.S. Geological Survey |
1000 Fördernummer
  1. 642317
  2. 748625
  3. 01 LN1320A
  4. RYC-2013-13979
  5. -
1000 Förderprogramm
  1. -
  2. -
  3. GLANCE” project (Global Change Effects in River Ecosystems)
  4. Ramon y Cajal
  5. Land Change Science; Land Resources Mission Area
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer 642317
  2. 1000 joinedFunding-child
    1000 Förderer H2020 Marie Skłodowska-Curie Actions |
    1000 Förderprogramm -
    1000 Fördernummer 748625
  3. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm GLANCE” project (Global Change Effects in River Ecosystems)
    1000 Fördernummer 01 LN1320A
  4. 1000 joinedFunding-child
    1000 Förderer Ministerio de Ciencia, Innovación y Universidades |
    1000 Förderprogramm Ramon y Cajal
    1000 Fördernummer RYC-2013-13979
  5. 1000 joinedFunding-child
    1000 Förderer U.S. Geological Survey |
    1000 Förderprogramm Land Change Science; Land Resources Mission Area
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6416934.rdf
1000 Erstellt am 2019-10-21T14:49:07.793+0200
1000 Erstellt von 304
1000 beschreibt frl:6416934
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2019-10-22T09:39:23.209+0200
1000 Objekt bearb. Tue Oct 22 09:39:03 CEST 2019
1000 Vgl. frl:6416934
1000 Oai Id
  1. oai:frl.publisso.de:frl:6416934 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source