Land-Use Management and Carbon Sequestering in Sub-Saharan Africa

1992 ◽  
Vol 22 (3) ◽  
pp. 199-210 ◽  
Author(s):  
R. D. Perlack ◽  
R. L. Graham ◽  
A. M. G. Prasad
Keyword(s):  
Land Use ◽  
Sub Saharan Africa ◽  
Land Use Management ◽  
Carbon Sequestering ◽  
Sub Saharan

scholarly journals Key Challenges for Land Use Planning and Its Environmental Assessments in the Abuja City-Region, Nigeria

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 443
Author(s):  
Evidence Chinedu Enoguanbhor ◽  
Florian Gollnow ◽  
Blake Byron Walker ◽  
Jonas Ostergaard Nielsen ◽  
Tobia Lakes
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Environmental Assessment ◽  
Land Use Planning ◽  
Environmental Sustainability ◽  
Sub Saharan Africa ◽  
Environmental Assessments ◽  
City Regions ◽  
Sub Saharan ◽  
Land Cover Maps

Land use planning as strategic instruments to guide urban dynamics faces particular challenges in the Global South, including Sub-Saharan Africa, where urgent interventions are required to improve urban and environmental sustainability. This study investigated and identified key challenges of land use planning and its environmental assessments to improve the urban and environmental sustainability of city-regions. In doing so, we combined expert interviews and questionnaires with spatial analyses of urban and regional land use plans, as well as current and future urban land cover maps derived from Geographic Information Systems and remote sensing. By overlaying and contrasting land use plans and land cover maps, we investigated spatial inconsistencies between urban and regional plans and the associated urban land dynamics and used expert surveys to identify the causes of such inconsistencies. We furthermore identified and interrogated key challenges facing land use planning, including its environmental assessment procedures, and explored means for overcoming these barriers to rapid, yet environmentally sound urban growth. The results illuminated multiple inconsistencies (e.g., spatial conflicts) between urban and regional plans, most prominently stemming from conflicts in administrative boundaries and a lack of interdepartmental coordination. Key findings identified a lack of Strategic Environmental Assessment and inadequate implementation of land use plans caused by e.g., insufficient funding, lack of political will, political interference, corruption as challenges facing land use planning strategies for urban and environmental sustainability. The baseline information provided in this study is crucial to improve strategic planning and urban/environmental sustainability of city-regions in Sub-Saharan Africa and across the Global South, where land use planning faces similar challenges to address haphazard urban expansion patterns.

scholarly journals Using a Network of Locally Developed Low Cost Particulate Matter Sensors for Land Use Regression Modeling of PM2.5 in Urban Uganda

2020 ◽  
Author(s):  
Eric S. Coker ◽  
Ssematimba Joel ◽  
Engineer Bainomugisha
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Low Cost ◽  
Additive Models ◽  
Pollution Monitoring ◽  
Sub Saharan Africa ◽  
Land Use Regression ◽  
Sub Saharan

Background: There are major air pollution monitoring gaps in sub-Saharan Africa. Developing capacity in the region to conduct air monitoring in the region can help estimate exposure to air pollution for epidemiology research. The purpose of our study is to develop a land use regression (LUR) model using low-cost air quality sensors developed by a research group in Uganda (AirQo). Methods: Using these low-cost sensors, we collected continuous measurements of fine particulate matter (PM2.5) between May 1, 2019 and February 29, 2020 at 22 monitoring sites across urban municipalities of Uganda. We compared average monthly PM2.5 concentrations from the AirQo sensors with measurements from a BAM-1020 reference monitor operated at the US Embassy in Kampala. Monthly PM2.5 concentrations were used for LUR modeling. We used eight Machine Learning (ML) algorithms and ensemble modeling; using 10-fold cross validation and root mean squared error (RMSE) to evaluate model performance. Results: Monthly PM2.5 concentration was 60.2 µg/m3 (IQR: 45.4-73.0 µg/m3; median= 57.5 µg/m3). For the ML LUR models, RMSE values ranged between 5.43 µg/m3 - 15.43 µg/m3 and explained between 28% and 92% of monthly PM2.5 variability. Generalized additive models explained the largest amount of PM2.5 variability (R2=0.92) and produced the lowest RMSE (5.43 µg/m3) in the held-out test set. The most important predictors of monthly PM2.5 concentrations included monthly precipitation, major roadway density, population density, latitude, greenness, and percentage of households using solid fuels. Conclusion: To our knowledge, ours is the first study to model the spatial distribution of urban air pollution in sub-Saharan Africa using air monitors developed from the region itself. Non-parametric ML for LUR modeling performed with high accuracy for prediction of monthly PM2.5 levels. Our analysis suggests that locally produced low-cost air quality sensors can help build capacity to conduct air pollution epidemiology research in the region.

scholarly journals Air Pollution Measurements and Land-Use Regression in Urban Sub-Saharan Africa Using Low-Cost Sensors—Possibilities and Pitfalls

Atmosphere ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1357
Author(s):  
Asmamaw Abera ◽  
Kristoffer Mattisson ◽  
Axel Eriksson ◽  
Erik Ahlberg ◽  
Geremew Sahilu ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Sub Saharan Africa ◽  
Land Use Regression ◽  
Rapid Urbanization ◽  
Final Model ◽  
Sub Saharan

Air pollution is recognized as the most important environmental factor that adversely affects human and societal wellbeing. Due to rapid urbanization, air pollution levels are increasing in the Sub-Saharan region, but there is a shortage of air pollution monitoring. Hence, exposure data to use as a base for exposure modelling and health effect assessments is also lacking. In this study, low-cost sensors were used to assess PM2.5 (particulate matter) levels in the city of Adama, Ethiopia. The measurements were conducted during two separate 1-week periods. The measurements were used to develop a land-use regression (LUR) model. The developed LUR model explained 33.4% of the variance in the concentrations of PM2.5. Two predictor variables were included in the final model, of which both were related to emissions from traffic sources. Some concern regarding influential observations remained in the final model. Long-term PM2.5 and wind direction data were obtained from the city’s meteorological station, which should be used to validate the representativeness of our sensor measurements. The PM2.5 long-term data were however not reliable. Means of obtaining good reference data combined with longer sensor measurements would be a good way forward to develop a stronger LUR model which, together with improved knowledge, can be applied towards improving the quality of health. A health impact assessment, based on the mean level of PM2.5 (23 µg/m3), presented the attributable burden of disease and showed the importance of addressing causes of these high ambient levels in the area.

scholarly journals Land Use, Environmental, and Food Consumption Patterns in Sub-Saharan Africa, 2000–2015: A Review

2021 ◽  
Vol 13 (15) ◽  
pp. 8200
Author(s):  
Jeffrey Chiwuikem Chiaka ◽  
Lin Zhen
Keyword(s):  
Land Use ◽  
Food Supply ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Sub Saharan Africa ◽  
The Sustainable Development ◽  
Sparse Vegetation ◽  
Local Methods ◽  
Development Goals ◽  
Sub Saharan

Sub-Saharan Africa (SSA) land use changes are primarily influenced by agriculture and its population. The region faces various challenges ranging from rainfall variabilities to poverty and insecurities, which further hampered food supply and production. The spatial analysis identified six land uses—agriculture, forest, grassland, wetland, urban, and others (i.e., bare land, water, and sparse vegetation), showing relative percentage changes. Additionally, information collected and analyzed shows that the Millennium Development Goals period witnessed increased agricultural land use changes in the environment to improve food supply, and farmers adopted local methods and native experiences to mitigate environmental particularities facing the region. Farmers’ landholdings are fragmented, and food supply per capita is low albeit rich in calories, and nutrition is still unbalanced, while bushmeat consumption is popular and serves as an alternative to animal-sourced protein. Concerted efforts should be made to improve food security and edge closer to the sustainable development goal during this decade.

The impact of land use change on water resources in sub-Saharan Africa: a modelling study of Lake Malawi

1995 ◽  
Vol 170 (1-4) ◽  
pp. 123-135 ◽  
Author(s):  
Ian R. Calder ◽  
Robin L. Hall ◽  
Heidi G. Bastable ◽  
Henry M. Gunston ◽  
Osborne Shela ◽  
...  
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
Lake Malawi ◽  
Sub Saharan Africa ◽  
Sub Saharan ◽  
The Impact ◽  
Modelling Study

scholarly journals Learning from Community-Based Natural Resource Management (CBNRM) in Ghana and Zambia: lessons for integrated landscape approaches

2021 ◽  
Vol 23 (3) ◽  
pp. 273-297
Author(s):  
S. Adeyanju ◽  
A. O'Connor ◽  
T. Addoah ◽  
E. Bayala ◽  
H. Djoudi ◽  
...  
Keyword(s):  
Land Use ◽  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Local Level ◽  
Lessons Learned ◽  
Sub Saharan Africa ◽  
Local Context ◽  
Community Based ◽  
Sub Saharan

Land use in much of sub-Saharan Africa is dominated by legislative frameworks based on a strong colonial legacy, focusing strongly on state control and minimal devolution of management responsibilities to local communities. However, attempts to reconcile conservation and socio-economic development by increasing stakeholder engagement in community-based natural resource management (CBNRM) have been undertaken since the late 1980s. Based on a review of published literature on historical land-use trajectories, the evolution of CBNRM, and key respondent interviews with NRM experts in Ghana and Zambia, this paper asks: What lessons can be learned from CBNRM to inform integrated landscape approaches for more equitable social and ecological outcomes? The paper discusses the positive characteristics and persistent challenges arising from CBNRM initiatives in both countries. The former being, improved rights and resource access, an established institutional structure at the local level, and a conservation approach tailored to the local context. The latter include the absence of multi-scale collaboration, inadequate inclusive and equitable local participation, and limited sustainability of CBNRM initiatives beyond short-term project funding timelines. The paper argues that integrated landscape approaches can address these challenges and improve natural resource management in Ghana and Zambia. We urge landscape practitioners to consider how the lessons learned from CBNRM are being addressed in practice, as they represent both challenges and opportunities for landscape approaches to improve natural resource management.

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