Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece
Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent dec...
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| Autor*in: |
Arianoutsou, Margarita [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2011 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC 2011 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental management - Springer-Verlag, 1976, 47(2011), 3 vom: 05. Feb., Seite 384-397 |
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| Übergeordnetes Werk: |
volume:47 ; year:2011 ; number:3 ; day:05 ; month:02 ; pages:384-397 |
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| DOI / URN: |
10.1007/s00267-011-9614-7 |
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OLC2060635365 |
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| 520 | |a Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. | ||
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10.1007/s00267-011-9614-7 doi (DE-627)OLC2060635365 (DE-He213)s00267-011-9614-7-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Arianoutsou, Margarita verfasserin aut Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. Multi-criteria evaluation GIS Post-fire resilience forests Koukoulas, Sotirios aut Kazanis, Dimitrios aut Enthalten in Environmental management Springer-Verlag, 1976 47(2011), 3 vom: 05. Feb., Seite 384-397 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:47 year:2011 number:3 day:05 month:02 pages:384-397 https://doi.org/10.1007/s00267-011-9614-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4317 AR 47 2011 3 05 02 384-397 |
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10.1007/s00267-011-9614-7 doi (DE-627)OLC2060635365 (DE-He213)s00267-011-9614-7-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Arianoutsou, Margarita verfasserin aut Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. Multi-criteria evaluation GIS Post-fire resilience forests Koukoulas, Sotirios aut Kazanis, Dimitrios aut Enthalten in Environmental management Springer-Verlag, 1976 47(2011), 3 vom: 05. Feb., Seite 384-397 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:47 year:2011 number:3 day:05 month:02 pages:384-397 https://doi.org/10.1007/s00267-011-9614-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4317 AR 47 2011 3 05 02 384-397 |
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10.1007/s00267-011-9614-7 doi (DE-627)OLC2060635365 (DE-He213)s00267-011-9614-7-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Arianoutsou, Margarita verfasserin aut Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. Multi-criteria evaluation GIS Post-fire resilience forests Koukoulas, Sotirios aut Kazanis, Dimitrios aut Enthalten in Environmental management Springer-Verlag, 1976 47(2011), 3 vom: 05. Feb., Seite 384-397 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:47 year:2011 number:3 day:05 month:02 pages:384-397 https://doi.org/10.1007/s00267-011-9614-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4317 AR 47 2011 3 05 02 384-397 |
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Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece |
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Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. © Springer Science+Business Media, LLC 2011 |
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Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. © Springer Science+Business Media, LLC 2011 |
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Abstract Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system’s post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the “risk hotspots”, where post-fire management measures should be applied in priority. © Springer Science+Business Media, LLC 2011 |
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