Assessing the interaction of land cover/land use dynamics, climate extremes and food systems in Uganda

Lunyolo, Lilian Daphine; Khalifa, Muhammad; Ribbe, Lars

doi:10.1016/j.scitotenv.2020.142549

Cited by 18 publications

(7 citation statements)

References 56 publications

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“…Our research found that for the UWNR, the overall vegetation still showed an increasing trend after 2000, and the area where vegetation was degraded accounted for 25.42%. Lunyolo et al [61] discussed the dynamics of land cover in Uganda and found that a large number of forests and permanent wetlands in the country have been converted into farmland, which has further led to the degradation of vegetation. Our research area covers most of Uganda, and our findings confirm Lunyolo's research results.…”

Section: Vegetation Trends and Spatial Heterogeneitymentioning

confidence: 99%

Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

Wang

Mupenzi

et al. 2021

Remote Sensing

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Vegetation changes in the Upper White Nile River (UWNR) are of great significance to the maintenance of local livelihoods, the survival of wildlife, and the protection of species habitats. Based on the GIMMS NDVI3g and MODIS normalized difference vegetation index (NDVI) data, the temporal and spatial characteristics of vegetation changes in the UWNR from 1982 to 2020 were analyzed by a Theil-Sen median trend analysis and Mann-Kendall test. The future trend of vegetation was analyzed by the Hurst exponential method. A partial correlation analysis was used to analyze the relationship of the vegetation and climate factors, and a residual trend analysis was used to quantify the influence of climate change and human activities on vegetation change. The results indicated that the average NDVI value (0.75) of the UWNR from 1982 to 2020 was relatively high. The average coefficient of variation for the NDVI was 0.059, and the vegetation change was relatively stable. The vegetation in the UWNR increased 0.013/10 year on average, but the vegetation degradation in some areas was serious and mainly classified as agricultural land. The results of a future trend analysis showed that the vegetation in the UWNR is mainly negatively sustainable, and 62.54% of the vegetation will degrade in the future. The NDVI of the UWNR was more affected by temperature than by precipitation, especially on agricultural land and forestland, which were more negatively affected by warming. Climate change and human activities have an impact on vegetation changes, but the spatial distributions of the effects differ. The relative impact of human activities on vegetation change accounted for 64.5%, which was higher than that of climate change (35.5%). Human activities, such as the large proportion of agriculture, rapid population growth and the rapid development of urbanization were the main driving forces. Establishing a cross-border drought joint early warning mechanism, strengthening basic agricultural research, and changing traditional agricultural farming patterns may be effective measures to address food security and climate change and improve vegetation in the UWNR.

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Section: Vegetation Trends and Spatial Heterogeneitymentioning

confidence: 99%

Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

Wang

Mupenzi

et al. 2021

Remote Sensing

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“…Spatial-temporal transformations in the interaction of social and ecological systems affect land use. It is the core of evaluating the carrying capacity of food agriculture because it reduces the carrying capacity at different scales in different areas (Lunyolo et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Changes in the Carrying Capacity of Food Agriculture in Kulon Progo Regency, Yogyakarta

2023

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The increase in the population impacts the increasing demand for food and non-food. Hence, to fulfill non-food needs, agricultural food land is converted into non-agricultural. It affected the carrying capacity of food agriculture. This paper aimed to analyze changes in the carrying capacity of food agriculture and the factors that influence the carrying capacity of food agriculture in the Kulon Progo Regency. This study used a descriptive-quantitative approach with spatial-temporal analysis techniques on secondary data, including population, rice field area, and rice field productivity for 2011, 2015, and 2019. The results showed that in 2011 Kulon Progo Regency could not be self-sufficient in food. However, in 2015, the research area had a great carrying capacity for food agriculture and continues to increase. This increase was influenced by the addition of rice fields and increased productivity. On the other hand, the reduction of rice fields decreased the productivity of rice fields, and the increase in the population led to a decrease in the carrying capacity of food agriculture in the Nanggulan, Kalibawang, and Samigaluh Districts. The rice field area and the productivity of rice fields affect food availability, while the population affects food needs. This paper showed that land-use changes in agri-food land (rice field area and productivity of rice fields) and the number of populations resulted in changes in the carrying capacity of food agriculture. Keywords: Carrying capacity, land use change, food self-sufficiency, rice field, population growth

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“…This has led to increased land-use change with, for example, forests and permanent wetlands turned into farmland, so as to improve food security. This causes destruction of the ecosystem services, further exacerbating climate change [12]. While some communities experience increases in the occurrence and intensity of river floods and forest fires, others have reported increased drought.…”

Section: Introductionmentioning

confidence: 99%

Examining the Ability of Communities to Cope with Food Insecurity due to Climate Change

et al. 2021

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The changing climate has negatively impacted food systems by affecting rainfall patterns and leading to drought, flooding, and higher temperatures which reduce food production. This study examined the ability of communities to cope with food insecurity due to the changing climate in the Serere and Buyende districts, which are two different agro-ecological zones of Uganda. We administered 806 questionnaires to households, a sample size which was determined using Yamane’s formula, with the snowball sampling method used to select the households. The questionnaire sought information, including that regarding the respondents’ resources, the effects of climate change on households, and the coping mechanisms employed to reduce the impact of climate change on food security. The data collected was coded and analyzed using the statistical package for the social sciences (SPSS). Agriculture was found to be the main source of income for 42.4% of male adults and 41.2% of female adults in Serere. In Buyende, 39.9% of males and 33.7% of females rely on selling animal, poultry, and food crops. Aggregate results further showed that 58.3% of females and 42.2% of the males from both districts had suffered from the impacts of climate change, and that the effects were more evident between March and May, when communities experienced crop failure. The study further found that the percentage of households who had three meals a day was reduced from 59.7% to 43.6%, while the number of households with no major meals a day increased from 1.3% to 1.6%. We also found that 34.3% of households reported buying food during periods of crop failure or food scarcity. Moreover, despite reporting an understanding of several coping mechanisms, many households were limited in their ability to implement the coping mechanisms by their low incomes. This reinforced their reliance on affordable mechanisms, such as growing drought-resistant crops (32.7%), rearing drought-resistant livestock breeds (26.1%), and reducing the number of meals a day (14.5%), which are mechanisms that are insufficient for solving all the climate-related food insecurity challenges. We recommend that the government intervenes by revising policies which help farmers cope with the negative effects of climate change, promoting the sensitization of farmers to employing the coping mechanisms, and subsidizing agricultural inputs, such as resistant varieties of crops, for all to afford.

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Assessing the interaction of land cover/land use dynamics, climate extremes and food systems in Uganda

Cited by 18 publications

References 56 publications

Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

Analysis of Changes in the Carrying Capacity of Food Agriculture in Kulon Progo Regency, Yogyakarta

Examining the Ability of Communities to Cope with Food Insecurity due to Climate Change

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