Moving towards Europe-wide freshwater restoration through model-based integration of policy objectives

In Europe, ecological restoration efforts remain restricted and fragmented, with limited success and coordination across policies. The newly adopted Nature Restoration Regulation aims to address these challenges by setting ambitious, legally binding restoration targets. For freshwater ecosystems, its success depends on better integration of existing legislative frameworks, particularly the Habitats Directive (HD) and the Water Framework Directive (WFD). We present a novel European-scale modeling framework that for the first time, combines HD and WFD-related indicators, and applies specific Bayesian Network features, to achieve: i) a Europe-wide status prediction to identify areas with potential for restoration, conservation or mitigation measures, including spatially explicit information on uncertainty and data gaps, and ii) spatially explicit restoration targets, such as lateral and longitudinal connectivity improvements, derived through backward inference. Model validation demonstrated acceptable performance for six of twelve HD groups, including Bogs, Mires, Fens, as well as Amphibia, Fish and Plants, while sensitivity analysis indicated that taxon-specific responses were primarily driven by pressures from hydrology, morphology, and organic pollution. We provide a large-scale data-driven tool to maximize the ecological impact of restoration efforts across Europe, support efficient resource use, and help policymakers to direct efforts where they are most likely to succeed.

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Publication Details

Journal
Water Research
Published
2026-01-19
DOI
https://doi.org/10.1016/j.watres.2026.125426
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
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article

Moving towards Europe-wide freshwater restoration through model-based integration of policy objectives

Angeliki Peponi, Sebastian Birk, Astrid Schmidt‐Kloiber, Gonçalo Duarte et al.
Water Research
Fish Ecology and Management Studies
article

Moving towards Europe-wide freshwater restoration through model-based integration of policy objectives

Angeliki Peponi, Sebastian Birk, Astrid Schmidt‐Kloiber, Gonçalo Duarte, Andrea Funk, Thomas Hein, Paulo Branco, Maria Teresa Ferreira, Tamara Leite, Florian Borgwardt
article en

Abstract

In Europe, ecological restoration efforts remain restricted and fragmented, with limited success and coordination across policies. The newly adopted Nature Restoration Regulation aims to address these challenges by setting ambitious, legally binding restoration targets. For freshwater ecosystems, its success depends on better integration of existing legislative frameworks, particularly the Habitats Directive (HD) and the Water Framework Directive (WFD). We present a novel European-scale modeling framework that for the first time, combines HD and WFD-related indicators, and applies specific Bayesian Network features, to achieve: i) a Europe-wide status prediction to identify areas with potential for restoration, conservation or mitigation measures, including spatially explicit information on uncertainty and data gaps, and ii) spatially explicit restoration targets, such as lateral and longitudinal connectivity improvements, derived through backward inference. Model validation demonstrated acceptable performance for six of twelve HD groups, including Bogs, Mires, Fens, as well as Amphibia, Fish and Plants, while sensitivity analysis indicated that taxon-specific responses were primarily driven by pressures from hydrology, morphology, and organic pollution. We provide a large-scale data-driven tool to maximize the ecological impact of restoration efforts across Europe, support efficient resource use, and help policymakers to direct efforts where they are most likely to succeed.

Water ResearchVol. 293
Gregor Mendel Institute of Molecular Plant Biology (AT), University of Lisbon (PT), Aarhus University (DK), University of Duisburg-Essen (DE), BOKU University (AT)
Life in Land
Openalex Percentile: Top 89%
Fish Ecology and Management Studies
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