Improving the classification of wildlife conservation status to support nature protection in the European Union
Identification
- Public canonical key
- radar:r-8601caa72d24f1c5a28d2eae28d39c82
- Authors
- Davoli, Marco · Jung, Martin · Visconti, Piero · Rondinini, Carlo · D'Alessio, Alessandra · Pacifici, Michela
- Reported year
- 2025
- Reported language
- und
- Source type
- JournalArticle
- First detected
- 2026-11-13T08:57:10.273442+00:00
- Last metadata observation
- 2026-11-13T08:57:10.273442+00:00
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- Not checked
Institutions reported by the source
University of Sussex · University College London
Documentary abstract — original language
Ensuring that species of conservation concern achieve favorable conservation status (FCS) is central to European Union (EU) biodiversity conservation targets. A key criterion for FCS is exceeding the favorable reference range (FRR)—the range extent needed to support long-term species stability across sufficient environmental variation. However, FRRs are often unknown, undermining their applicability. We developed a machine-learning approach based on the assumption that species with similar traits and habitats share comparable range requirements to estimate and standardize FRRs across the EU. Applied to amphibians, mammals, and reptiles, our method provided FRRs for 99.5% species of conservation concern, compared to 17.5% previously available (with satisfactory modelling performance: R² 0.75). We compared current ranges with estimated FRRs, finding that only 34.8% of cases meet or exceed FRR expectations, notably fewer than reported in official documentation (79%). Our approach may support periodic FCS reassessments and help refine the targets of EU conservation policies.<b>Note on the attached scripts:</b><br><i>The script </i><b><i>Full_RUN</i></b><i> directly loads all necessary data and runs the full modeling workflow for estimating FRRs, including the final outputs such as the figures and tables used in the manuscript.</i><br>
Identifiers
- DOI
- 10.6084/m9.figshare.29119265
Documentary context
- Documentary family
- article
- Source-reported types
- JournalArticle
- Publishers
- figshare
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Cite this reference
Davoli, Marco; Jung, Martin; Visconti, Piero; Rondinini, Carlo; D'Alessio, Alessandra; Pacifici, Michela. Improving the classification of wildlife conservation status to support nature protection in the European Union. 2025. https://doi.org/10.6084/m9.figshare.29119265
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- APA
- Davoli, Marco; Jung, Martin; Visconti, Piero; Rondinini, Carlo; D'Alessio, Alessandra; Pacifici, Michela. (2025). Improving the classification of wildlife conservation status to support nature protection in the European Union. https://doi.org/10.6084/m9.figshare.29119265
- Chicago
- Davoli, Marco; Jung, Martin; Visconti, Piero; Rondinini, Carlo; D'Alessio, Alessandra; Pacifici, Michela. Improving the classification of wildlife conservation status to support nature protection in the European Union. 2025. https://doi.org/10.6084/m9.figshare.29119265
- ISO 690
- Davoli, Marco; Jung, Martin; Visconti, Piero; Rondinini, Carlo; D'Alessio, Alessandra; Pacifici, Michela. Improving the classification of wildlife conservation status to support nature protection in the European Union. 2025. https://doi.org/10.6084/m9.figshare.29119265
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UDTR Global Rights of Nature Legal Library. Improving the classification of wildlife conservation status to support nature protection in the European Union. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-8601caa72d24f1c5a28d2eae28d39c82/ · Last HTTP verification: not performed
Research dossiers and documentary relations
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Bibliographic / original publication source · https://figshare.com/articles/journal_contribution/Improving_the_classification_of_wildlife_conservation_status_to_support_nature_protection_in_the_European_Union/29119265
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