Climate Change Adaptation in Ethiopia

Fox, Karyn M.; Nelson, Suzanne; Frankenberger, Timothy R.; Langworthy, Mark

doi:10.1016/b978-0-12-811891-7.00021-9

“…In an effort to overcome these constraints, the Paris Agreement and the Katowice Climate Package have been urging all parties to take more climate action by encouraging the adoption and documentation of appropriate adaptation strategies. Adaptation has been getting increasing recognition as a fundamental component of global-level climate change strategies and investigations (Leal Filho and de Freitas 2018;Brooks 2011;Biesbroek et al 2010), with sub-Saharan Africa emerging in the limelight (Fox et al 2018;Jiri and Mafongoya 2017;Leal Filho et al 2015;Leal Filho et al 2017;Ziervogel et al 2014;Dinar et al 2012) because of growing apprehension of climate risks. This apprehension explains why the Green Climate Fund (GCF) has been increasing levels of adaptation funding to many countries in Africa in order to fulfill the Paris Agreement (Pauw et al 2018;Tompkins et al 2018;Georgeson et al 2016) by enhancing their capacities to mitigate the adverse effects of climate change (Mukarakate 2016).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomically Informed Use of Geostatistics to Track Adaptation of Resource-Poor Communities to Climate Change

Chari

¹

,

Hamandawana

²

,

Zhou

³

2021

African Handbook of Climate Change Adaptation

2

0

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As the Green Climate Fund continues to make concerted efforts to leverage funding for resource-constrained communities in the global south under the aegis of increasing climate change impacts in sub-Saharan Africa, there is urgent and compelling need for tools that assist organizations to track the effectiveness of adaptation interventions in reducing vulnerability. This chapter offers a cost-effective methodology to track adaptation by using a case-study-based identification of communities with diminishing coping capacities in Raymond Mhlaba Local Municipality in the Eastern Cape Province of South Africa. Multistep geostatistical techniques were utilized in the ArcGIS 10.5 software environment to rank and spatialize changes in adaptation by using demographic census data for the years 2001 and 2011. Results of the analysis revealed that 12 communities had declining or static adaptive capacities between 2001 and 2011, while 10 communities had long-term decrease in adaptive capacities from 2001 to 2011 from a sampling universe of 134 communities. These findings are important because they demonstrate that the methodology can be effectively used to provide actionable information on the prevalence of low adaptation capacities at appropriate temporal and spatial scales, in order to guide the allocation of limited resources to the most deserving communities.

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Socioeconomically Informed Use of Geostatistics to Track Adaptation of Resource-Poor Communities to Climate Change

Chari¹,

Hamandawana²,

Zhou³

2020

African Handbook of Climate Change Adaptation

0

View full text Add to dashboard Cite

As the Green Climate Fund continues to make concerted efforts to leverage funding for resource-constrained communities in the global south under the aegis of increasing climate change impacts in sub-Saharan Africa, there is urgent and compelling need for tools that assist organizations to track the effectiveness of adaptation interventions in reducing vulnerability. This chapter offers a cost-effective methodology to track adaptation by using a case-study-based identification of communities with diminishing coping capacities in Raymond Mhlaba Local Municipality in the Eastern Cape Province of South Africa. Multistep geostatistical techniques were utilized in the ArcGIS 10.5 software environment to rank and spatialize changes in adaptation by using demographic census data for the years 2001 and 2011. Results of the analysis revealed that 12 communities had declining or static adaptive capacities between 2001 and 2011, while 10 communities had long-term decrease in adaptive capacities from 2001 to 2011 from a sampling universe of 134 communities. These findings are important because they demonstrate that the methodology can be effectively used to provide actionable information on the prevalence of low adaptation capacities at appropriate temporal and spatial scales, in order to guide the allocation of limited resources to the most deserving communities.

show abstract