Using historical spy satellite photographs and recent remote sensing data to identify high‐conservation‐value forests

Abstract: High-conservation-value forests (HCVFs) are critically important for biodiversity and ecosystem service provisioning, but they face many threats. Where systematic HCVF inventories are missing, such as in parts of Eastern Europe, these forests remain largely unacknowledged and therefore often unprotected. We devised a novel, transferable approach for detecting HCVFs based on integrating historical spy satellite images, contemporary remote sensing data (Landsat), and information on current potential anthropogenic pressures (e.g., road infrastructure, population density, demand for fire wood, terrain). We applied the method to the Romanian Carpathians, for which we mapped forest continuity (1955–2019), canopy structural complexity, and anthropogenic pressures. We identified 738,000 ha of HCVF. More than half of this area was identified as susceptible to current anthropogenic pressures and lacked formal protection. By providing a framework for broad-scale HCVF monitoring, our approach facilitates integration of HCVF into forest conservation and management. This is urgently needed to achieve the goals of the European Union's Biodiversity Strategy to maintain valuable forest ecosystems

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch
Notes
Conservation biology. - 36, 2 (2022) , e13820, ISSN: 1523-1739

Classification
Natürliche Ressourcen, Energie und Umwelt

Event
Veröffentlichung
(where)
Freiburg
(who)
Universität
(when)
2022
Creator
Munteanu, Catalina
Senf, Cornelius
Niță, Mihai Daniel
Sabatini, Francesco M.
Oeser, Julian
Seidl, Rupert
Kuemmerle, Tobias
Contributor

DOI
10.1111/cobi.13820
URN
urn:nbn:de:bsz:25-freidok-2305305
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:36 AM CEST

Data provider

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Associated

Time of origin

  • 2022

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