Exploring variation in adaptation levels to climate extremes among farmers of the Kyoga Agro ecological zone in Uganda using a cross sectional design

Adaptation to climate change among smallholder farmers is a paramount step in achieving sustainable livelihoods in line with SDG 1, 2 and 13 since these communities face significant challenges due climate extremes which impacts on impacts on their only means of livelihood. Determining the levels in adaptation is crucial in understanding the socio-economics of the impact of climate change in the rural communities. The study investigated adaptation levels and determinants among smallholder farmers in the Kyoga Agro-ecology of Uganda. A quantitative cross-sectional survey involving 384 face-to-face household interviews using structured questionnaires was conducted. Farmers, selected based on climate change awareness, were targeted to respond to their reported adaptation levels. Descriptive statistics analyzed adaptation levels among smallholder farmers of various socioeconomic characteristics across different subzones. A Multinomial Logistic (MNL) model examined the determinants of variation in adaptation levels. Majority of the respondents, 85.9% in the BCMS and 93.8% in the TS sub zone observed that indeed climate change is occurring. Female farmers in the TS subzone were significantly less likely to adopt 3–4 (p < 0.01) or 5–7 (p < 0.01) adaptation strategies compared to the base category (1–2 strategies), while the relationship in the BCMS subzone was negative but not significant. Male farmers consistently demonstrated greater capacity to adopt higher levels of adaptation strategies. Annual income was positively and significantly related to adoption of 3—4 (P < z = 0.70) and 5—7 (P < z = 0.013). Also Education was positively and significantly associated with adopting 5–7 adaptation strategies in both the TS and BCMS subzones compared to the base category (1–2 strategies). Primary education showed significance at P < z = 0.05 in TS (P < z = 0.018) and BCMS (P < z = 0.03), while secondary education was also significant in TS (P < z = 0.052) and BCMS (P < z = 0.014). Essential support, particularly for female farmers, is crucial to bridge the gender gap. The findings are pivotal for informing the formulation of inclusive adaptation strategies among farmers in various subzones. We recommend that the ongoing reforms in the National Adaptation Plans of Uganda and international development frameworks in line with climate adaptation consider socio-economic disparities among famers.

Authors

Institutions

Publication Details

Journal
BMC Environmental Science
Published
2024-12-23
DOI
https://doi.org/10.1186/s44329-024-00014-2
Citations
3
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
3.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring variation in adaptation levels to climate extremes among farmers of the Kyoga Agro ecological zone in Uganda using a cross sectional design

George Oriangi, Paul Isolo Mukwaya, Yeeko Kisira, Chombo Oketcho
3 citations
BMC Environmental Science
Climate change impacts on agriculture
3.09
article

Exploring variation in adaptation levels to climate extremes among farmers of the Kyoga Agro ecological zone in Uganda using a cross sectional design

George Oriangi, Paul Isolo Mukwaya, Yeeko Kisira, Chombo Oketcho
article en
3 citations

Abstract

Adaptation to climate change among smallholder farmers is a paramount step in achieving sustainable livelihoods in line with SDG 1, 2 and 13 since these communities face significant challenges due climate extremes which impacts on impacts on their only means of livelihood. Determining the levels in adaptation is crucial in understanding the socio-economics of the impact of climate change in the rural communities. The study investigated adaptation levels and determinants among smallholder farmers in the Kyoga Agro-ecology of Uganda. A quantitative cross-sectional survey involving 384 face-to-face household interviews using structured questionnaires was conducted. Farmers, selected based on climate change awareness, were targeted to respond to their reported adaptation levels. Descriptive statistics analyzed adaptation levels among smallholder farmers of various socioeconomic characteristics across different subzones. A Multinomial Logistic (MNL) model examined the determinants of variation in adaptation levels. Majority of the respondents, 85.9% in the BCMS and 93.8% in the TS sub zone observed that indeed climate change is occurring. Female farmers in the TS subzone were significantly less likely to adopt 3–4 (p < 0.01) or 5–7 (p < 0.01) adaptation strategies compared to the base category (1–2 strategies), while the relationship in the BCMS subzone was negative but not significant. Male farmers consistently demonstrated greater capacity to adopt higher levels of adaptation strategies. Annual income was positively and significantly related to adoption of 3—4 (P < z = 0.70) and 5—7 (P < z = 0.013). Also Education was positively and significantly associated with adopting 5–7 adaptation strategies in both the TS and BCMS subzones compared to the base category (1–2 strategies). Primary education showed significance at P < z = 0.05 in TS (P < z = 0.018) and BCMS (P < z = 0.03), while secondary education was also significant in TS (P < z = 0.052) and BCMS (P < z = 0.014). Essential support, particularly for female farmers, is crucial to bridge the gender gap. The findings are pivotal for informing the formulation of inclusive adaptation strategies among farmers in various subzones. We recommend that the ongoing reforms in the National Adaptation Plans of Uganda and international development frameworks in line with climate adaptation consider socio-economic disparities among famers.

BMC Environmental ScienceVol. 1(1)
Gulu University (UG), Makerere University (UG)
Styrelsen för Internationellt Utvecklingssamarbete
Climate action
Openalex Percentile: Top 8%
Climate change impacts on agriculture
3.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.