Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana
Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yiran, Gerald A. B. [verfasserIn] Stringer, Lindsay C. [verfasserIn] Attua, Emmanuel M. [verfasserIn] Evans, Andrew J. [verfasserIn] Challinor, Andy J. [verfasserIn] Gyasi, Edwin A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Regional Environmental Change - Springer-Verlag, 2001, 17(2016), 3 vom: 05. Okt., Seite 665-676 |
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| Übergeordnetes Werk: |
volume:17 ; year:2016 ; number:3 ; day:05 ; month:10 ; pages:665-676 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10113-016-1054-8 |
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| 520 | |a Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. | ||
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10.1007/s10113-016-1054-8 doi (DE-627)SPR009121412 (SPR)s10113-016-1054-8-e DE-627 ger DE-627 rakwb eng Yiran, Gerald A. B. verfasserin aut Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. Vulnerability analysis (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Multi-hazards (dpeaa)DE-He213 Savannah ecosystem (dpeaa)DE-He213 Stringer, Lindsay C. verfasserin aut Attua, Emmanuel M. verfasserin aut Evans, Andrew J. verfasserin aut Challinor, Andy J. verfasserin aut Gyasi, Edwin A. verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 17(2016), 3 vom: 05. Okt., Seite 665-676 (DE-627)SPR008808457 nnns volume:17 year:2016 number:3 day:05 month:10 pages:665-676 https://dx.doi.org/10.1007/s10113-016-1054-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 17 2016 3 05 10 665-676 |
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10.1007/s10113-016-1054-8 doi (DE-627)SPR009121412 (SPR)s10113-016-1054-8-e DE-627 ger DE-627 rakwb eng Yiran, Gerald A. B. verfasserin aut Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. Vulnerability analysis (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Multi-hazards (dpeaa)DE-He213 Savannah ecosystem (dpeaa)DE-He213 Stringer, Lindsay C. verfasserin aut Attua, Emmanuel M. verfasserin aut Evans, Andrew J. verfasserin aut Challinor, Andy J. verfasserin aut Gyasi, Edwin A. verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 17(2016), 3 vom: 05. Okt., Seite 665-676 (DE-627)SPR008808457 nnns volume:17 year:2016 number:3 day:05 month:10 pages:665-676 https://dx.doi.org/10.1007/s10113-016-1054-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 17 2016 3 05 10 665-676 |
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10.1007/s10113-016-1054-8 doi (DE-627)SPR009121412 (SPR)s10113-016-1054-8-e DE-627 ger DE-627 rakwb eng Yiran, Gerald A. B. verfasserin aut Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. Vulnerability analysis (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Multi-hazards (dpeaa)DE-He213 Savannah ecosystem (dpeaa)DE-He213 Stringer, Lindsay C. verfasserin aut Attua, Emmanuel M. verfasserin aut Evans, Andrew J. verfasserin aut Challinor, Andy J. verfasserin aut Gyasi, Edwin A. verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 17(2016), 3 vom: 05. Okt., Seite 665-676 (DE-627)SPR008808457 nnns volume:17 year:2016 number:3 day:05 month:10 pages:665-676 https://dx.doi.org/10.1007/s10113-016-1054-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 17 2016 3 05 10 665-676 |
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10.1007/s10113-016-1054-8 doi (DE-627)SPR009121412 (SPR)s10113-016-1054-8-e DE-627 ger DE-627 rakwb eng Yiran, Gerald A. B. verfasserin aut Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. Vulnerability analysis (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Multi-hazards (dpeaa)DE-He213 Savannah ecosystem (dpeaa)DE-He213 Stringer, Lindsay C. verfasserin aut Attua, Emmanuel M. verfasserin aut Evans, Andrew J. verfasserin aut Challinor, Andy J. verfasserin aut Gyasi, Edwin A. verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 17(2016), 3 vom: 05. Okt., Seite 665-676 (DE-627)SPR008808457 nnns volume:17 year:2016 number:3 day:05 month:10 pages:665-676 https://dx.doi.org/10.1007/s10113-016-1054-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 17 2016 3 05 10 665-676 |
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10.1007/s10113-016-1054-8 doi (DE-627)SPR009121412 (SPR)s10113-016-1054-8-e DE-627 ger DE-627 rakwb eng Yiran, Gerald A. B. verfasserin aut Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. Vulnerability analysis (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Multi-hazards (dpeaa)DE-He213 Savannah ecosystem (dpeaa)DE-He213 Stringer, Lindsay C. verfasserin aut Attua, Emmanuel M. verfasserin aut Evans, Andrew J. verfasserin aut Challinor, Andy J. verfasserin aut Gyasi, Edwin A. verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 17(2016), 3 vom: 05. Okt., Seite 665-676 (DE-627)SPR008808457 nnns volume:17 year:2016 number:3 day:05 month:10 pages:665-676 https://dx.doi.org/10.1007/s10113-016-1054-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 17 2016 3 05 10 665-676 |
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665 |
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Yiran, Gerald A. B. Stringer, Lindsay C. Attua, Emmanuel M. Evans, Andrew J. Challinor, Andy J. Gyasi, Edwin A. |
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17 |
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Elektronische Aufsätze |
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Yiran, Gerald A. B. |
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10.1007/s10113-016-1054-8 |
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verfasserin |
| title_sort |
mapping vulnerability to multiple hazards in the savannah ecosystem in ghana |
| title_auth |
Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana |
| abstract |
Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. |
| abstractGer |
Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. |
| abstract_unstemmed |
Abstract The interior savannah ecosystem in Ghana is subjected to a number of hazards, including droughts, windstorms, high temperatures and heavy rainfall. The frequency and intensity of these hazards are projected to increase during the twenty-first century as a result of climate variability and change. Vulnerabilities to these hazards vary, both spatially and temporally, due to differences in susceptibilities and adaptive capacities. Many mapping exercises in Ghana have considered the impacts of single hazards on single sectors, particularly agriculture. But the hazards often occur concurrently or alternately and have varying degrees of impacts on different sectors. The impacts also interact. These interactions make mapping of the vulnerabilities of multiple sectors to multiple hazards imperative. This paper presents an analysis of the spatial dimension of vulnerabilities by mapping vulnerability of sectors that support livelihood activities at a single point in time, using the Upper East Region of Ghana as a case study. Data collected to develop the maps were largely quantitative and from secondary sources. Other data drew on fieldwork undertaken in the region from July to September 2013. Quantitative values were assigned to qualitative categorical data as the mapping process is necessarily quantitative. Data were divided into susceptibility and adaptive capacity indicators and mapped in ArcGIS 10.2 using weighted linear sum aggregation. Agriculture was found to be the most vulnerable sector in all districts of the Upper East Region and experienced the greatest shocks from all hazards. Although all districts were vulnerable, the Talensi, Nabdam, Garu-Temapane and Kassena-Nankana West Districts were most vulnerable. Findings highlight the need for more targeted interventions to build adaptive capacity in light of the spatial distributions of vulnerabilities to hazards across sectors. |
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Mapping vulnerability to multiple hazards in the savannah Ecosystem in Ghana |
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Stringer, Lindsay C. Attua, Emmanuel M. Evans, Andrew J. Challinor, Andy J. Gyasi, Edwin A. |
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