Climate-smart agriculture, cropland expansion and deforestation in Zambia: Linkages, processes and drivers

Ngoma, Hambulo; Pelletier, Johanne; Mulenga, Brian P.; Subakanya, Mitelo

doi:10.1016/j.landusepol.2021.105482

Cited by 28 publications

(14 citation statements)

References 44 publications

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“…Tenure security is the most significant predictor of the returns to farmland investments. These results corroborate the evidence and stylized facts in previous studies beyond the Congo Basin (Ngoma et al, 2021, Shittu et al, 2021Amadu et al, 2020;Molua, 2011).…”

Section: Determinants Of Agricultural System Choice and Land Value Re...supporting

confidence: 92%

Climate-Smart Conservation Agriculture, Farm Values and Tenure Security: Implications for Climate Change Adaptation and Mitigation in the Congo Basin

Molua

Sonwa²,

Bele³

et al. 2023

Tropical Conservation Science

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Background and Research Aims: Agriculture through deforestation is an important threat to biodiversity conservation in the Congo Basin’s tropical forest. The policy challenge is not only to promote adaptation to perceived climate change but also to promote forest conservation. The aim of this study is to provide empirical evidence on the impact of farm-level investments in climate-smart agricultural practices related to conservation agriculture in some Congo Basin countries. The hypothesis is that property rights to land and trees play a fundamental role in governing the patterns of investment, forestland management for conservation, as well as in the profitability of agriculture. Methods: A Simulated Maximum Likelihood Estimation using a Mixed Logit model is used to test farmers’ choice of agricultural system and a farmland value model for each agricultural system which includes determinants of tenure or property rights, climate, soils, and socioeconomic variables such as education and gender. The data was collected from more than 600 farms covering 12 regions and 45 divisions in 3 countries, Cameroon, the Central African Republic and the Democratic Republic of Congo. Results: Farmers choose one of three agricultural systems to maximize farm profit mindful of the current tenure regime and environmental conditions. Conservation agriculture techniques within climate-smart practices show benefits for smallholder farmers through improvements in soil health, soil moisture retention and enhanced crop yields. The rights to access, withdraw, manage, as well as exclude others from land and trees affect both the farmers' choice of system and the profit earned from the chosen system. Conclusion: Farm-level investments improve farm incomes and enhance conservation effort for farmers perceiving climate change. Implications for Conservation: Climate change adaptation through planting of trees improves soil stability, restores ecosystems and creates a safe haven for biodiversity. Secure land tenure promotes better forestland management and reduces land degradation in vulnerable communities.

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Section: Determinants Of Agricultural System Choice and Land Value Re...supporting

confidence: 92%

Climate-Smart Conservation Agriculture, Farm Values and Tenure Security: Implications for Climate Change Adaptation and Mitigation in the Congo Basin

Molua

Sonwa²,

Bele³

et al. 2023

Tropical Conservation Science

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“…Cropland expansion has become a popular issue for researchers. Existing research has studied the substantial sequences from various perspectives, such as natural habitat loss (van Vliet, 2019;Tang et al, 2021), deforestation (Ngoma et al, 2021), and changes in land productivity (Li et al, 2018;Yang et al, 2020). This study defines the three main cropland expansion trajectories, namely, infilling, edge-expansion, and outlying trajectories; and identifies their spatiotemporal distribution and their consequences on cropland fragmentation.…”

Section: Discussionmentioning

confidence: 99%

How Does Different Cropland Expansion Trajectories Affect Cropland Fragmentation? Insights From Three Urban Agglomerations in Yangtze River Economic Belt, China

et al. 2022

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A clear understanding of cropland expansion dynamics and their effects is vital for cropland protection and food security. However, the trajectories of cropland expansion have been less discussed. This study referred to the modes of landscape expansion and assessed the cropland expansion trajectory in three urban agglomerations in the Yangtze River Economic Belt and its impact on cropland fragmentation. Specifically, we identified three cropland expansion trajectories using the landscape expansion index, namely, infilling, edge-expansion, and outlying. Moreover, the surface relief amplitude model was employed to characterize the relief amplitude effect on cropland expansion trajectories. By coupling landscape metrics (e.g., patch density, landscape shape index, the largest patch index, and aggregation index) and Spearman correlation analysis, the relationship between cropland expansion trajectories and cropland fragmentation was assessed. Results show that (1) three urban agglomerations experience cropland expansion, in which the edge-expansion trajectory is primary, followed by infilling and outlying trajectories; (2) the cumulative frequency curve indicates that infilling and edge-expansion trajectories are likely to be distributed in low topographic relief amplitude regions, while the outlying trajectory is located in relatively higher topographic relief amplitude regions; and (3) infilling and edge-expansion trajectories contribute to a significantly positive relationship with the decrease of cropland fragmentation, while the outlying trajectory has a negative relationship with cropland fragmentation. This research highlights that cropland protection policies should considerably focus on the trajectory of cropland expansion, not only request the total area of cropland in a dynamic balance.

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“…In this study, for example, smallholder farmers expect benefits or utilities from adopting CSA practices that maximize their income and food security (Sardar et al, 2021 ). Smallholder farmers adopt new agricultural practices and technology if the expected utility or benefits from adoption (Ua) are substantially greater than those from non-adoption (Un) (Kassie et al, 2015 ; Ngoma et al, 2021 ). Following Wooldridge ( 2010 ) and Greene ( 2000 ), we derived the utility function from the adoption of CSA with dichotomous choices, which are determined by the given observable and unobservable characteristics of Z i and error term ε i, such that: where I i represents a binary choice variable for CSA adoption, which equals 1 if the farmers I adopt the CSA practices, and 0 otherwise.…”

Section: Conceptual/theoretical Framework Of the Studymentioning

confidence: 99%

Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia

Belay

Mirzabaev

Recha

et al. 2023

Environ Dev Sustain

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Climate change threatens African countries’ economic development and affects agriculture and food security. Ethiopia is especially vulnerable to the negative effects of climate change because its economy is dependent on climate-sensitive livelihoods that have limited potential for adaptation. Emerging evidence indicates that climate-smart agriculture (CSA) can help smallholder farmers adapt to climate change and increase agricultural productivity, thereby enhancing household income and food security. In the study area, different CSA practices have been adopted to mitigate the negative effects of climate change and improve agricultural productivity, income, and food security. Therefore, this study examines the impact of CSA practices on household income and food security in southern Ethiopia. A total of 385 households were selected using multistage sampling. Primary and secondary data were used, and propensity score matching with different types of matching algorithms, such as nearest neighbor, kernel, and radius matching, was employed to quantify the conditional impacts of CSA intervention on farm income and food security. In comparison with non adopters farmers that have adopted CSA practices had a higher food consumption score between 6.27 and 8.15, which was statistically significant at the 1% level. Overall, 34.55% of interviewed households had acceptable food consumption scores, 44.68% had borderline, and 20.77% had poor food consumption scores. Furthermore, households that adopted CSA practices had a 20.30% higher average annual farm income per hectare than non-adopters. The study suggests that effective extension services, accurate climate information, and sound policy support are required to promote and scale up CSA measures in the study area to improve farmers’ adaptive capacity, farm income, and food security.

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Climate-smart agriculture, cropland expansion and deforestation in Zambia: Linkages, processes and drivers

Cited by 28 publications

References 44 publications

Climate-Smart Conservation Agriculture, Farm Values and Tenure Security: Implications for Climate Change Adaptation and Mitigation in the Congo Basin

Climate-Smart Conservation Agriculture, Farm Values and Tenure Security: Implications for Climate Change Adaptation and Mitigation in the Congo Basin

How Does Different Cropland Expansion Trajectories Affect Cropland Fragmentation? Insights From Three Urban Agglomerations in Yangtze River Economic Belt, China

Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia

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