Graw, Valerie Annemarie Martine: Interlinkages of Land Degradation, Marginality and Land Use Cover Change in Kenya : Development of an interdisciplinary framework using remote sensing and GIS. - Bonn, 2015. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
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@phdthesis{handle:20.500.11811/6569,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-42004,
author = {{Valerie Annemarie Martine Graw}},
title = {Interlinkages of Land Degradation, Marginality and Land Use Cover Change in Kenya : Development of an interdisciplinary framework using remote sensing and GIS},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2015,
month = dec,
note = {Land degradation (LD) is a global problem affecting and being affected by socio-ecological systems. In this thesis the interlinkages of LD, marginality and land use cover change (LUCC) in Kenya based on remote sensing and geographic information systems (GIS) are analyzed. By combining biophysical and socio-economic data we obtain a deeper understanding of internal dynamics and their relationship to processes of decreasing productivity within a coupled Human-Environment System (HES). The simultaneous use of quantitative and qualitative methods supports insights in different disciplines.
LD stands for the decrease of soil fertility and, hence, land productivity. Marginality is defined as the root cause of poverty but goes beyond the solely economic perspective of poverty measurement. LUCC represents another interdisciplinary concept where LC refers to the land surface and its biophysical determinants which can be detected with remote sensing while land use (LU) includes an active component referring to activities on land by human impact.
The study was conducted on two different scales: the national scale, the country Kenya, and a local scale focusing on western Kenya. With census data and household survey information the socio-economic perspective was presented while biophysical assessment on LD and LUCC was conducted via remote sensing imagery. Time series analysis of vegetation information derived from remotely sensed imagery – NDVI and EVI – lead to the analysis of trends of land productivity from 2001 to 2011. In the national study, based on five indicator groups, different dimensions of marginality such as health, education, access to infrastructure and information but also economy could be analyzed. A set of eight indicators was detected that explains decreasing productivity trends with the use of exploratory regression and ordinary least square regression (OLS) on the national scale. Explaining decreasing productivity trends on the local level using household information for 42 villages and their respective acting scopes made obvious that also qualitative information is needed to validate and interpret results correctly. Trigger events such as the post-election violence in 2007 and 2008, and the world economy crisis in 2008 had a significant impact on decreasing productivity trends in 2009 in the local study area.
The national and the local study both showed that variables explaining decreasing and stable productivity trends are in close relationship while increasing productivity is influenced by a different set of variables. Therefore, with regard to the concept of land degradation neutrality (LDN) stable productivity trends need to be taken into account for future research. Identification of biophysical and socio-economic variables influencing productivity trends helps to get a better understanding of coupled HES. The interdisciplinary approach of this study is path leading for the development of food security strategies. Validation of the here presented results on the respective spatial scale can be used to identify areas where a need for action is required to stop ongoing productivity decrease and finally stabilize yields.},
url = {https://hdl.handle.net/20.500.11811/6569}
}
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-42004,
author = {{Valerie Annemarie Martine Graw}},
title = {Interlinkages of Land Degradation, Marginality and Land Use Cover Change in Kenya : Development of an interdisciplinary framework using remote sensing and GIS},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2015,
month = dec,
note = {Land degradation (LD) is a global problem affecting and being affected by socio-ecological systems. In this thesis the interlinkages of LD, marginality and land use cover change (LUCC) in Kenya based on remote sensing and geographic information systems (GIS) are analyzed. By combining biophysical and socio-economic data we obtain a deeper understanding of internal dynamics and their relationship to processes of decreasing productivity within a coupled Human-Environment System (HES). The simultaneous use of quantitative and qualitative methods supports insights in different disciplines.
LD stands for the decrease of soil fertility and, hence, land productivity. Marginality is defined as the root cause of poverty but goes beyond the solely economic perspective of poverty measurement. LUCC represents another interdisciplinary concept where LC refers to the land surface and its biophysical determinants which can be detected with remote sensing while land use (LU) includes an active component referring to activities on land by human impact.
The study was conducted on two different scales: the national scale, the country Kenya, and a local scale focusing on western Kenya. With census data and household survey information the socio-economic perspective was presented while biophysical assessment on LD and LUCC was conducted via remote sensing imagery. Time series analysis of vegetation information derived from remotely sensed imagery – NDVI and EVI – lead to the analysis of trends of land productivity from 2001 to 2011. In the national study, based on five indicator groups, different dimensions of marginality such as health, education, access to infrastructure and information but also economy could be analyzed. A set of eight indicators was detected that explains decreasing productivity trends with the use of exploratory regression and ordinary least square regression (OLS) on the national scale. Explaining decreasing productivity trends on the local level using household information for 42 villages and their respective acting scopes made obvious that also qualitative information is needed to validate and interpret results correctly. Trigger events such as the post-election violence in 2007 and 2008, and the world economy crisis in 2008 had a significant impact on decreasing productivity trends in 2009 in the local study area.
The national and the local study both showed that variables explaining decreasing and stable productivity trends are in close relationship while increasing productivity is influenced by a different set of variables. Therefore, with regard to the concept of land degradation neutrality (LDN) stable productivity trends need to be taken into account for future research. Identification of biophysical and socio-economic variables influencing productivity trends helps to get a better understanding of coupled HES. The interdisciplinary approach of this study is path leading for the development of food security strategies. Validation of the here presented results on the respective spatial scale can be used to identify areas where a need for action is required to stop ongoing productivity decrease and finally stabilize yields.},
url = {https://hdl.handle.net/20.500.11811/6569}
}