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Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data

Coleman, Kjirsten Elizabeth Robyne und Kuenzer, Claudia (2025) Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data. Remote Sensing, 17 (15), 1- 29. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17152558. ISSN 2072-4292.

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Offizielle URL: https://www.mdpi.com/2072-4292/17/15/2558

Kurzfassung

Anthropogenic and climatic pressures can transform contiguous forests into smaller, less connected fragments. Forest biodiversity and ecosystem functioning can furthermore be compromised or enhanced. We present a descriptive analysis of forest fragmentation in Bavaria, the largest federal state in Germany. We calculated 22 metrics of fragmentation using forest polygons, aggregated within administrative units and with respect to both elevation and aspect orientation. Using a forest mask from September 2024, we found 2.384 million hectares of forest across Bavaria, distributed amongst 83,253 forest polygons 0.1 hectare and larger. The smallest patch category (XS, <25 ha) outnumbered all other size classes by nearly 13 to 1. Edge zones accounted for more than 1.68 million hectares, leaving less than 703,000 hectares as core forest. Although south-facing slopes dominated the state, the highest forest cover (~36%) was found on the least abundant east-oriented slopes. Most of the area is located at 400–600 m.a.s.l., with around 30% of this area covered by forests; however, XL forest patches (>3594 ha) dominated higher elevations, covering 30–60% of land surface area between 600 and 1400 m.a.s.l. The distribution of the largest patches follows the higher terrain and corresponds well to protected areas. K-means clustering delineated 3 clusters, which corresponded well with the predominance of patchiness, aggregation, and edginess within districts.

elib-URL des Eintrags:https://elib.dlr.de/215478/
Dokumentart:Zeitschriftenbeitrag
Titel:Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Coleman, Kjirsten Elizabeth Robynekjirsten.coleman (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:23 Juli 2025
Erschienen in:Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:17
DOI:10.3390/rs17152558
Seitenbereich:1- 29
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:veröffentlicht
Stichwörter:remote sensing; disturbance; forest loss; Germany; landscape ecology; temperate forest; bark beetle; central Europe; forest management
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Coleman, Kjirsten Elizabeth Robyne
Hinterlegt am:31 Jul 2025 09:38
Letzte Änderung:31 Jul 2025 09:38

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