Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites

Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. Landsat data provides the necessary spatial, temporal and spectral detail to map and analyze forest cover and forest change processes. With the opening of the Lands...

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Bibliographic Details
Published in:Remote sensing of environment Vol. 151; pp. 72 - 88
Main Authors: Griffiths, Patrick, Kuemmerle, Tobias, Baumann, Matthias, Radeloff, Volker C., Abrudan, Ioan V., Lieskovsky, Juraj, Munteanu, Catalina, Ostapowicz, Katarzyna, Hostert, Patrick
Format: Journal Article
Language:English
Published: Elsevier Inc 01.08.2014
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ISSN:0034-4257, 1879-0704
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Abstract Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. Landsat data provides the necessary spatial, temporal and spectral detail to map and analyze forest cover and forest change processes. With the opening of the Landsat archive, new opportunities arise to monitor forest dynamics on regional to continental scales. In this study we analyzed changes in forest types, forest disturbances, and forest recovery for the Carpathian ecoregion in Eastern Europe. We generated a series of image composites at five year intervals between 1985 and 2010 and utilized a hybrid analysis strategy consisting of radiometric change classification, post-classification comparison and continuous index- and segment-based post-disturbance recovery assessment. For validation of the disturbance map we used a point-based accuracy assessment, and assessed the accuracy of our forest type maps using forest inventory data and statistically sampled ground truth data for 2010. Our Carpathian-wide disturbance map achieved an overall accuracy of 86% and the forest type maps up to 73% accuracy. While our results suggested a small net forest increase in the Carpathians, almost 20% of the forests experienced stand-replacing disturbances over the past 25years. Forest recovery seemed to only partly counterbalance the widespread natural disturbances and clear-cutting activities. Disturbances were most widespread during the late 1980s and early 1990s, but some areas also exhibited extensive forest disturbances after 2000, especially in the Polish, Czech and Romanian Carpathians. Considerable shifts in forest composition occurred in the Carpathians, with disturbances increasingly affecting coniferous forests, and a relative decrease in coniferous and mixed forests. Both aspects are likely connected to an increased vulnerability of spruce plantations to pests and pathogens in the Carpathians. Overall, our results exemplify the highly dynamic nature of forest cover during times of socio-economic and institutional change, and highlight the value of the Landsat archive for monitoring these dynamics. •Regional monitoring of forest dynamics with Landsat has recently become feasible.•We analyzed six large-area composites employing a hybrid change detection approach.•We addressed forest types, disturbances and recovery in the Carpathians since 1985.•Forests increased slightly while 1/5 of Carpathian forests experienced disturbances.•Disturbances increasingly occurred in conifers, forest composition shifted markedly.
AbstractList Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. Landsat data provides the necessary spatial, temporal and spectral detail to map and analyze forest cover and forest change processes. With the opening of the Landsat archive, new opportunities arise to monitor forest dynamics on regional to continental scales. In this study we analyzed changes in forest types, forest disturbances, and forest recovery for the Carpathian ecoregion in Eastern Europe. We generated a series of image composites at five year intervals between 1985 and 2010 and utilized a hybrid analysis strategy consisting of radiometric change classification, post-classification comparison and continuous index- and segment-based post-disturbance recovery assessment. For validation of the disturbance map we used a point-based accuracy assessment, and assessed the accuracy of our forest type maps using forest inventory data and statistically sampled ground truth data for 2010. Our Carpathian-wide disturbance map achieved an overall accuracy of 86% and the forest type maps up to 73% accuracy. While our results suggested a small net forest increase in the Carpathians, almost 20% of the forests experienced stand-replacing disturbances over the past 25years. Forest recovery seemed to only partly counterbalance the widespread natural disturbances and clear-cutting activities. Disturbances were most widespread during the late 1980s and early 1990s, but some areas also exhibited extensive forest disturbances after 2000, especially in the Polish, Czech and Romanian Carpathians. Considerable shifts in forest composition occurred in the Carpathians, with disturbances increasingly affecting coniferous forests, and a relative decrease in coniferous and mixed forests. Both aspects are likely connected to an increased vulnerability of spruce plantations to pests and pathogens in the Carpathians. Overall, our results exemplify the highly dynamic nature of forest cover during times of socio-economic and institutional change, and highlight the value of the Landsat archive for monitoring these dynamics.
Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. Landsat data provides the necessary spatial, temporal and spectral detail to map and analyze forest cover and forest change processes. With the opening of the Landsat archive, new opportunities arise to monitor forest dynamics on regional to continental scales. In this study we analyzed changes in forest types, forest disturbances, and forest recovery for the Carpathian ecoregion in Eastern Europe. We generated a series of image composites at five year intervals between 1985 and 2010 and utilized a hybrid analysis strategy consisting of radiometric change classification, post-classification comparison and continuous index- and segment-based post-disturbance recovery assessment. For validation of the disturbance map we used a point-based accuracy assessment, and assessed the accuracy of our forest type maps using forest inventory data and statistically sampled ground truth data for 2010. Our Carpathian-wide disturbance map achieved an overall accuracy of 86% and the forest type maps up to 73% accuracy. While our results suggested a small net forest increase in the Carpathians, almost 20% of the forests experienced stand-replacing disturbances over the past 25years. Forest recovery seemed to only partly counterbalance the widespread natural disturbances and clear-cutting activities. Disturbances were most widespread during the late 1980s and early 1990s, but some areas also exhibited extensive forest disturbances after 2000, especially in the Polish, Czech and Romanian Carpathians. Considerable shifts in forest composition occurred in the Carpathians, with disturbances increasingly affecting coniferous forests, and a relative decrease in coniferous and mixed forests. Both aspects are likely connected to an increased vulnerability of spruce plantations to pests and pathogens in the Carpathians. Overall, our results exemplify the highly dynamic nature of forest cover during times of socio-economic and institutional change, and highlight the value of the Landsat archive for monitoring these dynamics. •Regional monitoring of forest dynamics with Landsat has recently become feasible.•We analyzed six large-area composites employing a hybrid change detection approach.•We addressed forest types, disturbances and recovery in the Carpathians since 1985.•Forests increased slightly while 1/5 of Carpathian forests experienced disturbances.•Disturbances increasingly occurred in conifers, forest composition shifted markedly.
Author Munteanu, Catalina
Kuemmerle, Tobias
Lieskovsky, Juraj
Ostapowicz, Katarzyna
Hostert, Patrick
Baumann, Matthias
Griffiths, Patrick
Radeloff, Volker C.
Abrudan, Ioan V.
Author_xml – sequence: 1
  givenname: Patrick
  surname: Griffiths
  fullname: Griffiths, Patrick
  email: patrick.griffiths@geo.hu-berlin.de
  organization: Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
– sequence: 2
  givenname: Tobias
  surname: Kuemmerle
  fullname: Kuemmerle, Tobias
  organization: Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
– sequence: 3
  givenname: Matthias
  surname: Baumann
  fullname: Baumann, Matthias
  organization: Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706-1598, USA
– sequence: 4
  givenname: Volker C.
  surname: Radeloff
  fullname: Radeloff, Volker C.
  organization: Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706-1598, USA
– sequence: 5
  givenname: Ioan V.
  surname: Abrudan
  fullname: Abrudan, Ioan V.
  organization: Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, Sirul Beethoven, No. 1, 500123 Brasov, Romania
– sequence: 6
  givenname: Juraj
  surname: Lieskovsky
  fullname: Lieskovsky, Juraj
  organization: Institute of Landscape Ecology, Slovak Academy of Sciences, Akademicka 2, 94901 Nitra, Slovakia
– sequence: 7
  givenname: Catalina
  surname: Munteanu
  fullname: Munteanu, Catalina
  organization: Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706-1598, USA
– sequence: 8
  givenname: Katarzyna
  surname: Ostapowicz
  fullname: Ostapowicz, Katarzyna
  organization: Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706-1598, USA
– sequence: 9
  givenname: Patrick
  surname: Hostert
  fullname: Hostert, Patrick
  organization: Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
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Keywords Carpathians
Change detection
Eastern Europe
Forest resources
Landsat
Forest types
Cross border
Compositing
Recovery
Forest disturbance
Forest inventory
Large area
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Vasile (10.1016/j.rse.2013.04.022_bb0420) 2009; 7
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Snippet Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. Landsat data provides...
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SubjectTerms Archives
Assessments
Carpathians
Change detection
clearcutting
Compositing
coniferous forests
Cross border
Disturbances
Dynamics
Eastern Europe
Eastern European region
ecoregions
ecosystem management
ecosystem services
Forest disturbance
Forest inventory
Forest resources
Forest types
Forests
Landsat
Large area
mixed forests
monitoring
Monitors
pathogens
Pests
plantations
radiometry
Recovery
remote sensing
resource management
socioeconomics
Title Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites
URI https://dx.doi.org/10.1016/j.rse.2013.04.022
https://www.proquest.com/docview/1635018134
https://www.proquest.com/docview/1642215988
https://www.proquest.com/docview/2000150756
Volume 151
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