TY - JOUR
T1 - Assessing forest-based rural communities' adaptive capacity and coping strategies for climate variability and change
T2 - The case of Vhembe district in south Africa
AU - Ofoegbu, Chidiebere
AU - Chirwa, P. W.
AU - Francis, J.
AU - Babalola, F. D.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - In this study, various coping strategies used by forest-based rural communities in Vhembe District of South Africa in response to climate variability and change challenges were investigated. The effect of community socio-demographic characteristics on the adaptive capacity and choice/effectiveness of coping strategies was examined. Household level data were collected from 366 respondents selected from 21 rural communities using the proportionate random sampling procedure. The Pearson Chi-square test was used to analyse the coping strategies. The effects of household and community socio-demographic characteristics on choice and effectiveness of coping strategies were determined using the binary logit model. It was observed that the respondents used diverse coping strategies, depending on the nature of climate variability and extreme weather events they were confronted with. Rainwater harvesting was the most popular strategy that the respondents in Makhado (90%), Mutale (96.3%), and Thulamela (50%) used to cope with erratic rainfall. Tree planting around houses and on farmland were the most popular strategies (90-100%) to counter the effects of extreme temperature. Furthermore, household and community demographic characteristics in particular education and skills levels, and forest products, institutional services and infrastructure available in the communities such as markets, and water supply facilities significantly (p<0.05) influenced the choice of households' coping strategies. Therefore, it can be hypothesized that efforts that enhance the household's capacity and community infrastructural development might be viable and sustainable ways of improving rural communities' resilience to climate change and variability challenges.
AB - In this study, various coping strategies used by forest-based rural communities in Vhembe District of South Africa in response to climate variability and change challenges were investigated. The effect of community socio-demographic characteristics on the adaptive capacity and choice/effectiveness of coping strategies was examined. Household level data were collected from 366 respondents selected from 21 rural communities using the proportionate random sampling procedure. The Pearson Chi-square test was used to analyse the coping strategies. The effects of household and community socio-demographic characteristics on choice and effectiveness of coping strategies were determined using the binary logit model. It was observed that the respondents used diverse coping strategies, depending on the nature of climate variability and extreme weather events they were confronted with. Rainwater harvesting was the most popular strategy that the respondents in Makhado (90%), Mutale (96.3%), and Thulamela (50%) used to cope with erratic rainfall. Tree planting around houses and on farmland were the most popular strategies (90-100%) to counter the effects of extreme temperature. Furthermore, household and community demographic characteristics in particular education and skills levels, and forest products, institutional services and infrastructure available in the communities such as markets, and water supply facilities significantly (p<0.05) influenced the choice of households' coping strategies. Therefore, it can be hypothesized that efforts that enhance the household's capacity and community infrastructural development might be viable and sustainable ways of improving rural communities' resilience to climate change and variability challenges.
UR - http://www.scopus.com/inward/record.url?scp=84964655374&partnerID=8YFLogxK
U2 - 10.1016/j.envdev.2016.03.001
DO - 10.1016/j.envdev.2016.03.001
M3 - Article
AN - SCOPUS:84964655374
SN - 2211-4645
VL - 18
SP - 36
EP - 51
JO - Environmental Development
JF - Environmental Development
ER -