| Literature DB >> 35607482 |
John Peter Obubu1,2, Robinson Odong3, Tena Alamerew4, Tadesse Fetahi1, Seyoum Mengistou1.
Abstract
Land use, land cover, and climate change impacts are current global challenges that are affecting many sectors, like agricultural production, socio-economic development, water quality, and causing land fragmentation. In developing countries like Uganda, rural areas with high populations dependent on agriculture are the most affected. The development of sustainable management measures requires proper identification of drivers and impacts on the environment and livelihoods of the affected communities. This study applied drivers, pressure, state, impact, and response model in the L. Kyoga basin to determine the drivers and impacts of land use, land cover, and climate change on livelihoods and the environment. The objective of this study was to determine the drivers and impacts of land use, land cover, and climate changes on the environment and livelihoods in the L. Kyoga basin and suggest sustainable mitigation measures. Focus group discussions, key informant interviews, field observations, and literature reviews were used to collect data. Population increase and climate change were the leading drivers, while agriculture and urbanization were the primary pressures, leading to degraded land, wetlands, and forests; loss of soil fertility, hunger, poverty, poor water quality, which are getting worse. The local communities, government, and non-government institutions had responses to impacts, including agrochemicals, restoration, and conservation approaches. Although most responses were at a small/pilot scale level, most responses had promising results. The application of policies and regulations to manage impacts was also found to be weak. Land use, land cover changes, and climate change occur in the L. Kyoga basin with major impacts on land, water, and community livelihoods. With the observed increase in climate change and population growth, drivers and impacts are potentially getting worse. Therefore, it is essential to expand interventions, provide relief, review policies and regulations, and enforce them. The findings are helpful for decisions and policy-makers to design appropriate management options.Entities:
Keywords: Communities; Drivers; Fertilizers; Forests; Impacts; Population; Wetlands
Year: 2022 PMID: 35607482 PMCID: PMC9118187 DOI: 10.1186/s40068-022-00254-8
Source DB: PubMed Journal: Environ Syst Res (Heidelb) ISSN: 2193-2697
Fig. 1The location of the study area
Fig. 2The current LULC map of the study area (
Source: Obubu et al. 2021a)
Fig. 3A section of a FGD a and KII b in Busiu Mbale
Fig. 5Population dynamics over the study period (2000–2020) and projections for 2030
Fig. 4DPSIR framework model of the findings of LULC change and CC in the study area
Domestic effluents against wastewater discharge standards
| Year | EC (µS/cm) | pH (pH units) | TSS (mg/l) | TP (mg/l) | TN (mg/l) | BOD (mg/l) | COD (mg/l) |
|---|---|---|---|---|---|---|---|
| 2014 | 884 | 8.0–10.0 | 3.16 | 35 | 231 | ||
| 2015 | 612 | 7.1–9.2 | 75 | 12 | 144 | ||
| 2016 | 1039 | 6.8–9.4 | 136 | 3.6 | 187 | 1438 | |
| 2017 | 837 | 6.8–8.6 | 210 | 18 | 152 | ||
| 2018 | 1098 | 6.9–9.1 | 75.7 | 7 | 264 | ||
| 2020 | 6.8–9.9 | 69 | 156 | ||||
| 2021 | 1059 | 5.3–11.0 | 309 | 7.9 | 52.8 | 26 | 366 |
| Effluent Standard | 750 | 5.0–8.5 | 50 | 5 | 10 | 50 | 70 |
Data source: Ministry of Water and Environment
Fig. 6Parts of Mpologoma wetland, a converted for growing rice; and b intact wetland area
Seasonal variation of water quality in R. Manafwa (intake for Mbale water supply)
| Season | pH | EC (µS/cm) | Turbidity (NTU) | Colour-app (PtCo) | TSS (mg/l) |
|---|---|---|---|---|---|
| Wet | 7.1 | 113 | 1348 | 10,843 | 1900 |
| Dry | 7.2 | 171 | 475 | 5179 | 774 |
Data source: NWSC, Mbale district
Record-breaking water level trends for major Ugandan lakes
| Water levels (m) | ||||
|---|---|---|---|---|
| SN | Lakes | 1964 | 2020 | Difference |
| 1 | Kyoga | 13.25 | 14.41 | 1.16 |
| 2 | Victoria | 13.41 | 13.48 | 0.07 |
| 3 | Albert | 14.2 | 14.68 | 0.48 |
Data source: MWE
Fig. 7A map showing the extent of 2020 floods in L. Kyoga, the yellow circle shows the study area. Data source (MWE)
Fig. 8Water level trends for Lake Kyoga, over six decades. Data source (MWE)