2020
DOI: 10.1007/978-3-030-36875-3_22
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A Participatory Approach to Developing Community Based Climate Services in Zimbabwe: A Case Study of Uzumba Maramba Pfungwe (UMP) District

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Cited by 4 publications
(2 citation statements)
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“…In Zimbabwe, a perception survey (Perception and Indigenous Knowledge Systems) was conducted among 3000 farmers in 8 districts over a two-year period on topics such as population perception on increasing air temperature, shorter winter, reduced rainfall, extended dry season, and increasing frequency of droughts. The results showed that climate change resulted in an increase in temperature in all districts with climate variability (Gwenzi et al, 2020). In Rwanda, although rainfall has been declining, there was an upsurge of floods in recent decades, which indicated the variability of the climatic regime (Mugabowindekwe et al, 2018).…”
Section: Climate Ecosystems and Livelihoods For Sustainable Developmentioning
confidence: 96%
“…In Zimbabwe, a perception survey (Perception and Indigenous Knowledge Systems) was conducted among 3000 farmers in 8 districts over a two-year period on topics such as population perception on increasing air temperature, shorter winter, reduced rainfall, extended dry season, and increasing frequency of droughts. The results showed that climate change resulted in an increase in temperature in all districts with climate variability (Gwenzi et al, 2020). In Rwanda, although rainfall has been declining, there was an upsurge of floods in recent decades, which indicated the variability of the climatic regime (Mugabowindekwe et al, 2018).…”
Section: Climate Ecosystems and Livelihoods For Sustainable Developmentioning
confidence: 96%
“…Documenting the local observations of climate change and comparing them with existing knowledge in the traditional climate science domain can strengthen and enrich climate impact assessment studies [15]. Other scholars express that gathering the climate change experiences with users of climate information services, such as farmers, can also increase the uptake of and trust in such services [19][20][21]. Such place-specific insights are also capable of validating instrument data and ground-truthing data from GCMs [15,22].…”
Section: Introductionmentioning
confidence: 99%