scholarly journals Assessing the Adaptive Capacity of Households to Climate Change in the Central Rift Valley of Ethiopia

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 106
Author(s):  
Demamu Mesfin ◽  
Belay Simane ◽  
Abrham Belay ◽  
John W. Recha ◽  
Ute Schmiedel
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Integrated Assessment ◽  
Rift Valley ◽  
Grazing Land ◽  
Household Level ◽  
Composite Indices ◽  
Administrative Units ◽  
Lower Contribution ◽  
Better Than

This paper explores the different components of the adaptive capacity of households in the Central Rift Valley (CRV) of Ethiopia and quantifies their relative contributions. The data were derived from a survey of 413 households randomly selected from four Kebeles (the smallest government administrative units) in the CRV. The adaptive capacity of the households was assessed using the Local Adaptive Capacity (LAC) framework and measured in terms of both aggregate and composite indices, with sixty indicators distributed across five major components and subcomponents. The index score for major components shows that intangible variables such as institutions and entitlements, knowledge and information, and innovation contributed to adaptive capacity better than decision–making and governance and asset–base. The composite indices for sub–components showed that the contribution of woodlands to adaptive capacity was positive and superior to other natural assets. Grazing land was the next best contributor, while farmland and water resources made a much lower contribution. The findings of this study are useful to better understand the nature of adaptive capacity and its components at the household level. This study suggests the need for an integrated assessment and enhancement of adaptive capacity with all its components rather than focusing only on asset possession as an indicator of adaptive capacity.

Evaluating the Community’s Adaptive Capacity to Climate Change at the Household Level: Evidences from a Survey in Rang Dong Town, Nghia Hung District, Nam Dinh Province

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Dam Thi Tuyet
Keyword(s):  
Climate Change ◽  
United Kingdom ◽  
International Development ◽  
Adaptive Capacity ◽  
Sustainable Livelihood ◽  
Household Level ◽  
The United Kingdom ◽  
Research Findings ◽  
Depth Interviews ◽  
Impacts Of Climate Change

This research used the sustainable livelihood framework developed by the Department for International Development of the United Kingdom (2001) to evaluate the community’s adaptive capacity to climate change in Rang Dong town, Nghia Hung district, Nam Dinh province. In-depth interviews were conducted with 79 households to explore their opinions and rating about symptoms and impacts of climate change related to their families’s livelihoods. The interviews also focused on the methods that the households used to respond to climate change. The research findings show that the households’ capacity to climate change is generally weak. The households’ livelihood resources there are utlised at a low level and these resources are insufficient to support them in responding to climate change.

scholarly journals Integrated assessment of China’s adaptive capacity to climate change with a capital approach

2014 ◽  
Vol 128 (3-4) ◽  
pp. 367-380 ◽  
Author(s):  
Minpeng Chen ◽  
Fu Sun ◽  
Pam Berry ◽  
Rob Tinch ◽  
Hui Ju ◽  
...  
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Integrated Assessment

Emerging heat extremes, adaptation and the speed of socio-economic development

2020 ◽  
Author(s):  
Carl-Friedrich Schleussner ◽  
Martha M. Vogel ◽  
Peter Pfleiderer ◽  
Marina Andrijevic ◽  
Friederike E. Otto ◽  
...  
Keyword(s):  
Climate Change ◽  
Economic Development ◽  
Adaptive Capacity ◽  
Integrated Assessment ◽  
Paris Agreement ◽  
Climate Impacts ◽  
Extreme Heat ◽  
Climate Change Signal ◽  
Socio Economic Development ◽  
Heat Extremes

<p>Heat extremes are among the most pertinent extreme weather hazards. At the same time, adaptation to the impacts of extreme heat can be very effective. The ability of societies to effectively adapt to climate change hazards such as extreme heat, however, critically depends on their level of socio-economic development. Examining the risks posed by future heat extremes to human societies requires to link socio-economic development trajectories with emerging heat extremes. Such an integrated assessment can also provide insights into whether or not it is indeed plausible for societies to “outgrow” climate change by increasing adaptive capacity faster than climate impacts emerge -  a narrative that underlies many policy decisions that prioritize economic development over climate action still today.</p><p> </p><p>Here we provide such an integrated assessment by combining a novel approach to project the continuous emergence of heat extremes over the 21<sup>st</sup> century under different concentration pathways and the pace of socio-economic development under the shared socio-economic pathways accounting for continuous autonomous adaptation. We find that even under the most optimistic scenarios of future development, countries may not be able to outpace unmitigated climate change. Only Paris-Agreement compatible concentration pathways allow for human development to keep up with or even outpace the emerging climate change signal in vulnerable countries in the near future. A similar picture emerges when comparing heat day emergence with future evolution of governance as a proxy for adaptive capacity. Our findings underscore the critical importance of achieving the Paris Agreement goals to enable climate-resilient, sustainable development.</p>

The potential benefits of agricultural adaptation to warming in China in the long run

2017 ◽  
Vol 23 (2) ◽  
pp. 139-160 ◽  
Author(s):  
Kaixing Huang ◽  
Jinxia Wang ◽  
Jikun Huang ◽  
Christopher Findlay
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Rural China ◽  
Household Survey ◽  
Capital Intensity ◽  
Climate Change Scenarios ◽  
Household Level ◽  
Long Run ◽  
Potential Benefits ◽  
Potential Damage

AbstractUnderstanding the extent to which agriculture can adapt to climate change and the determinants of farmers' adaptive capacity are of paramount importance from a policy perspective. Based on household survey data from a large sample in rural China, the present article adopts a panel approach to estimate the potential benefits of long-run adaptation and to identify the determinants of farmers' adaptive capacity. The empirical results suggest that, for various model settings and climate change scenarios, long-run adaptations should mitigate one-third to one-half of the damages of warming on crop profits by the end of this century. These findings support the basic argument of the hedonic approach that omitting long-run adaptations will dramatically overestimate the potential damage of climate change. The paper also finds that household-level capital intensity and farmland size have significant effects on farmers' adaptive capacities.

scholarly journals Economic Valuation of Nontimber Forest Products under the Changing Climate in Kilombero District, Tanzania

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Chelestino Balama ◽  
Suzana Augustino ◽  
Danford Mwaiteleke ◽  
Leopord P. Lusambo ◽  
Fortunatus B. S. Makonda
Keyword(s):  
Climate Change ◽  
Adverse Effects ◽  
Adaptive Capacity ◽  
Economic Value ◽  
Forest Products ◽  
Nontimber Forest Products ◽  
Household Level ◽  
Changing Climate ◽  
Management Regime ◽  
The Mean

Sustainable collection of Nontimber Forest Products (NTFPs) for trade is an appropriate measure to increase people’s adaptive capacity against adverse effects of climate change. However, information on the economic value for NTFPs for subsistence use and trade under the changing climate is inadequate, particularly in households around Iyondo Forest Reserve (IFR), in Kilombero District, Tanzania. The study identified and quantified NTFPs used for subsistence and trade, estimated its economic value, and examined factors influencing supply of NTFPs at household level. Data were collected through Focus Group Discussions, key informant interviews, questionnaire survey of 208 sample households, and spot market analysis to randomly selected NTFPs collectors, sellers, and buyers. The study identified 12 NTFPs used for subsistence and trade, which was evaluated in terms of the mean annual value per household. The mean annual value of the identified NTFPs ranged from TZS 4700 to 886 600. The estimated economic value of the studied NTFPs was TZS 51.4 billion (USD 36 million). The supply of NTFPs at household level was influenced by distance to the forest, change in forest management regime, seasonality, and change in rainfall pattern. NTFPs around IFR have high economic value which portrays the potential of developing them to enhance households’ adaptive capacity against climate change adverse effects.

scholarly journals Habitat use as indicator of adaptive capacity to climate change

2021 ◽  
Author(s):  
Claire S. Teitelbaum ◽  
Alexej P. K. Sirén ◽  
Ethan Coffel ◽  
Jane R. Foster ◽  
Jacqueline L. Frair ◽  
...  
Keyword(s):  
Climate Change ◽  
Habitat Use ◽  
Adaptive Capacity

scholarly journals Evaluating process-based integrated assessment models of climate change mitigation

2021 ◽  
Vol 166 (1-2) ◽  
Author(s):  
Charlie Wilson ◽  
Céline Guivarch ◽  
Elmar Kriegler ◽  
Bas van Ruijven ◽  
Detlef P. van Vuuren ◽  
...  
Keyword(s):  
Climate Change ◽  
Integrated Assessment ◽  
Climate Change Mitigation ◽  
Evaluation Method ◽  
Evaluation Research ◽  
Evaluation Framework ◽  
Systematic Evaluation ◽  
Integrated Assessment Models ◽  
Wide Range ◽  
Change Mitigation

AbstractProcess-based integrated assessment models (IAMs) project long-term transformation pathways in energy and land-use systems under what-if assumptions. IAM evaluation is necessary to improve the models’ usefulness as scientific tools applicable in the complex and contested domain of climate change mitigation. We contribute the first comprehensive synthesis of process-based IAM evaluation research, drawing on a wide range of examples across six different evaluation methods including historical simulations, stylised facts, and model diagnostics. For each evaluation method, we identify progress and milestones to date, and draw out lessons learnt as well as challenges remaining. We find that each evaluation method has distinctive strengths, as well as constraints on its application. We use these insights to propose a systematic evaluation framework combining multiple methods to establish the appropriateness, interpretability, credibility, and relevance of process-based IAMs as useful scientific tools for informing climate policy. We also set out a programme of evaluation research to be mainstreamed both within and outside the IAM community.

Sign in / Sign up

Export Citation Format

Share Document