Cross-scale and integrative prioritization of multi-functionality in large river floodplains.

DPSIR Ecosystem services Ecosystem-based management Fuzzy cognitive mapping Riparian zones Spatial prioritization

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
17 Apr 2024
Historique:
received: 17 12 2023
revised: 12 03 2024
accepted: 10 04 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 18 4 2024
Statut: aheadofprint

Résumé

Floodplains provide an extraordinary quantity and quality of ecosystem services (ES) but are among the most threatened ecosystems worldwide. The uses and transformations of floodplains differ widely within and between regions. In recent decades, the diverse pressures and requirements for flood protection, drinking water resource protection, biodiversity, and adaptation to climate change have shown that multi-functional floodplain management is necessary. Such an integrative approach has been hampered by the various interests of different sectors of society, as represented by multiple stakeholders and legal principles. We present an innovative framework for integrated floodplain management building up on ES multi-functionality and stakeholder involvement, forming a scientifically based decision-support to prioritize adaptive management measures responding at the basin and local scales. To demonstrate its potential and limitations, we applied this cross-scaled approach in the world's most international and culturally diverse basin, the Danube River Basin in Europe. We conducted large-scale evaluations of anthropogenic pressures and ES capacities on the one hand and participatory modelling of the local socio-ecohydrological systems on the other hand. Based on our assessments of 14 ES and 8 pressures, we recommend conservation measures along the lower and middle Danube, restoration measures along the upper-middle Danube and Sava, and mitigation measures in wide parts of the Yantra, Tisza and upper Danube rivers. In three case study areas across the basin, stakeholder perceptions were generally in line with the large-scale evaluations on ES and pressures. The positive outcomes of jointly modelled local measures and large-scale synergistic ES relationships suggest that multi-functionality can be enhanced across scales. Trade-offs were mainly present with terrestrial provisioning ES at the basin scale and locally with recreational activities. Utilizing the commonalities between top-down prioritizations and bottom-up participatory approaches and learning from their discrepancies could make ecosystem-based management more effective and inclusive.

Identifiants

pubmed: 38636421
pii: S0301-4797(24)00885-5
doi: 10.1016/j.jenvman.2024.120899
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120899

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Martin Tschikof (M)

Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria. Electronic address: martin.tschikof@boku.ac.at.

Barbara Stammel (B)

Floodplain Institute Neuburg, Catholic University Eichstätt-Ingolstadt, Schloss Grünau, 86633 Neuburg/Donau, Germany; University of Applied Science Erfurt, Leipziger Straße 77, 99085 Erfurt, Germany.

Gabriele Weigelhofer (G)

Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria; WasserCluster Lunz, Dr. Kupelwieser-Promenade 5, 3293 Lunz am See, Austria.

Elisabeth Bondar-Kunze (E)

Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria; Christian Doppler Laboratory for Meta Ecosystem Dynamics in Riverine Landscapes - Research for Sustainable River Management, Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria.

Gabriela Costea (G)

Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Community and Ecosystem Ecology, Müggelseedamm 301, 12587 Berlin, Germany.

Martin Pusch (M)

Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Community and Ecosystem Ecology, Müggelseedamm 301, 12587 Berlin, Germany.

Zorica Srdević (Z)

Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000 Novi Sad, Serbia.

Pavel Benka (P)

Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000 Novi Sad, Serbia.

David Bela Vizi (DB)

Middle Tisza District Water Directorate, Boldog Sándor István krt. 4, 5000 Szolnok, Hungary.

Tim Borgs (T)

Floodplain Institute Neuburg, Catholic University Eichstätt-Ingolstadt, Schloss Grünau, 86633 Neuburg/Donau, Germany.

Thomas Hein (T)

Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria; Christian Doppler Laboratory for Meta Ecosystem Dynamics in Riverine Landscapes - Research for Sustainable River Management, Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria.

Classifications MeSH