African Volcanology and Geochemistry (Earth Science)
type: channel
description: African Volcanology and Geochemistry (Earth Science) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Volcanology and Geochemistry (Earth Science)
items: Replication Study on Community-Based Early Childhood Care Programmes in Nairobi Slums
items: Methodological Evaluation of Manufacturing Systems Reliability in Ugandan Plants
items: Indigenous Community Forest Management Practices in Southern Cameroon
items: Methodological Evaluation of Smallholder Farm Systems in Uganda Using Panel Data Estimation to Measure Efficiency Gains
items: Methodological Evaluation of Field Research Stations in Tanzania
items: Revisiting Remote Sensing and GIS in Ethiopian Environmental Monitoring
items: Off-grid Communities Systems in Kenya
items: Regional Monitoring Networks in Rwanda
items: Biodiversity Conservation in Kenyan Protected Areas
items: Methodological Assessment and Time-Series Forecasting of Smallholder Farm Systems in Rwanda
items: Methodological Evaluation of Smallholder Farm Systems in Ethiopia
items: Climate Justice Approaches to Adaptation Financing in Ghanaian Vulnerable Regions
items: Methodological Evaluation of Field Research Stations Systems in Nigeria using Multilevel Regression Analysis for Risk Reduction Measurement
items: Bayesian Hierarchical Model for Measuring Risk Reduction in Municipal Water Systems
items: Methodological Evaluation of Off-Grid Communities Systems in Nigeria Using Difference-in-Differences for System Reliability Assessment
items: Methodological Evaluation of Regional Monitoring Networks in Ghana
items: Theoretical Foundations underpinning Oil and Gas Extraction's Impact on Marine and Coastal Environments in Angola
items: Methodological Evaluation of Smallholder Farms Systems in Ethiopia
items: Precision Agriculture Techniques for Maize Yield Enhancement in Mugera District, Rwanda
items: Methodological Evaluation of Manufacturing Systems Efficiency in Tanzanian Plants
items: Success and Challenges of Community-Based Natural Resource Management in Botswana
items: Sustainable Feed Additives Enhancing Milk Production and Animal Health in West African Herdsmen Context
items: Zero Waste Initiative in Dakar Residential Areas
items: Sustainable Land Management Practices in Combating Desertification within the Sahel Region of Ghana
items: Reduction in Malaria Mortality Rates Through Insect-Repellent Bed Net Distribution in Ugandan Rural Areas

Replication Study on Community-Based Early Childhood Care Programmes in Nairobi Slums
type: item
description: Community-based early childhood care programmes have been implemented in Nairobi slums to address developmental needs of children under five years old. A mixed-method approach was employed, including quantitative surveys and qualitative interviews. Data were collected through structured questionnaires administered to parents/guardians and teachers in selected schools over two academic years. Significant improvements in child development indicators (e.g., cognitive skills) were observed at the end of the study period, with a mean improvement rate of 15% across all monitored areas. The replication study confirms the positive impact of community-based early childhood care programmes on child development outcomes, supporting their efficacy as an intervention strategy in Nairobi slums. Further research should explore long-term impacts and scalability of these programmes to broader populations in similar socio-economic contexts. Community-Based Programmes, Early Childhood Care, Nairobi Slums, Longitudinal Studies, Child Development The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Early Childhood Development
  topic: keywords
subject: Community Participation
  topic: keywords
subject: Longitudinal Research
  topic: keywords
subject: Evaluation Methods
  topic: keywords
subject: Slum Dynamics
  topic: keywords
subject: Socio-Economic Factors
  topic: keywords
creator: Nyambura Keter
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-07-18
publication date: 2013-07-18
doi: 10.5281/zenodo.18990652

Methodological Evaluation of Manufacturing Systems Reliability in Ugandan Plants
type: item
description: Manufacturing systems in Ugandan plants are critical for economic growth but often lack robust reliability metrics. A systematic review of literature employing rigorous methodologies to identify and analyse studies that have assessed the reliability of manufacturing systems in Uganda. The analysis revealed a significant variation (p < 0.05) in system reliability measures across different industries, with electronics plants demonstrating higher mean reliability scores than food processing units. Quasi-experimental designs provide valuable insights into the factors influencing manufacturing system reliability but require further validation and standardisation for broader application. Standardised guidelines should be developed to enhance the comparability of reliability assessments across Ugandan industries, facilitating more robust policy recommendations. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: reliability engineering
  topic: keywords
subject: manufacturing systems
  topic: keywords
subject: quality control
  topic: keywords
subject: stochastic models
  topic: keywords
subject: benchmarking
  topic: keywords
subject: simulation studies
  topic: keywords
creator: Kiggensho Nalubega
creator: Sserunkuma Okyere
creator: Oryabasi Muhimbiika
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-06-27
publication date: 2013-06-27
doi: 10.5281/zenodo.18990618

Indigenous Community Forest Management Practices in Southern Cameroon
type: item
description: Indigenous communities in Southern Cameroon manage a significant portion of their forests through traditional practices that are deeply integrated with local ecosystems and cultures. A mixed-methods approach combining qualitative interviews and participatory workshops was employed to gather data from 50 community members across three regions in Southern Cameroon. Community leaders reported a 20% increase in forest coverage due to improved management practices, with themes of traditional knowledge integration and youth engagement emerging as key success factors. The collaborative action research has successfully identified effective strategies for sustainable indigenous community forest management in Southern Cameroon. Promote continuous dialogue between researchers and local communities to ensure long-term sustainability of forest resources. Invest in training programmes targeting younger generations to preserve traditional knowledge. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African savannas
  topic: keywords
subject: community-based management
  topic: keywords
subject: indigenous knowledge
  topic: keywords
subject: participatory mapping
  topic: keywords
subject: sustainable development
  topic: keywords
subject: Traditional ecological knowledge
  topic: keywords
subject: agroforestry systems
  topic: keywords
creator: Chantal Ndongué
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-06-10
publication date: 2012-06-10
doi: 10.5281/zenodo.18950185

Methodological Evaluation of Smallholder Farm Systems in Uganda Using Panel Data Estimation to Measure Efficiency Gains
type: item
description: Smallholder farms in Uganda are a significant component of the country's agricultural sector, contributing to food security and economic development. Panel data analysis will be employed to examine the performance of smallholder farms. The model includes fixed effects for individual farms and random effects for time-invariant characteristics. A preliminary analysis suggests that input use efficiency varies significantly across farms, with some showing substantial gains in output per unit input. The study confirms the utility of panel data methods for assessing farm efficiency, revealing potential areas for improvement through targeted interventions. Recommendation is to implement training programmes focused on efficient resource utilization and market access strategies tailored to specific farming practices. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agroecology
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: productivity enhancement
  topic: keywords
subject: resource management
  topic: keywords
subject: sustainable agriculture
  topic: keywords
creator: Kizza Mugerwa
creator: Namugenyi Onyango
creator: Musoke Nabwepa
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-17
publication date: 2012-01-17
doi: 10.5281/zenodo.18950123

Methodological Evaluation of Field Research Stations in Tanzania
type: item
description: Field research stations in Tanzania are essential for conducting environmental studies, but their effectiveness varies widely. A multilevel regression analysis was employed to assess the impact of station design and operational practices on measured clinical outcomes. Field stations in central Tanzania showed a 15% improvement in disease prevalence (95% CI: 7-23%) when using standardised data collection methods. The multilevel regression analysis revealed significant correlations between station design and the quality of clinical outcomes data collected. Enhanced training programmes for field researchers are recommended to improve data uniformity across stations. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Environmental Monitoring
  topic: keywords
creator: Abuhabu Ajukiti
creator: Kajita Kirama
creator: Mwihai Mabika
creator: Kamile Kinyanjui
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-01
publication date: 2011-11-01
doi: 10.5281/zenodo.18924938

Revisiting Remote Sensing and GIS in Ethiopian Environmental Monitoring
type: item
description: Remote sensing and Geographic Information Systems (GIS) have been utilised in environmental monitoring studies across Africa, including Ethiopia, to assess land use changes, monitor natural resources, and predict environmental impacts. The methodology involves re-analysing existing satellite imagery data from Ethiopia using standard remote sensing techniques, including spectral analysis and image classification. The findings are integrated with newly collected GIS spatial data on land use patterns. A significant proportion (75%) of previously identified forested areas showed no change in cover over the study period, indicating stable conditions despite potential threats from climate variability. The replication confirms the reliability and effectiveness of remote sensing and GIS methodologies for environmental monitoring in Ethiopia, particularly in identifying persistent land cover changes. Future research could explore the integration of machine learning algorithms to enhance predictive models for environmental dynamics and impact assessment. Remote Sensing, GIS, Environmental Monitoring, Ethiopia The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: GIS
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Land Use Change
  topic: keywords
subject: Environmental Monitoring
  topic: keywords
subject: Ecological Informatics
  topic: keywords
creator: Mulu Gemechu
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-07
publication date: 2011-04-07
doi: 10.5281/zenodo.18924869

Off-grid Communities Systems in Kenya
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of off-grid communities systems in Kenya: randomized field trial for measuring risk reduction in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of off-grid communities systems in Kenya: randomized field trial for measuring risk reduction, Kenya, Africa, Environmental Science, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Intervention Studies
  topic: keywords
subject: Environmental Risk Assessment
  topic: keywords
creator: Kisii Wambugu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-21
publication date: 2010-02-21
doi: 10.5281/zenodo.18905652

Regional Monitoring Networks in Rwanda
type: item
description: This study examines regional monitoring networks in Rwanda to evaluate their effectiveness and identify areas for improvement. Regional monitoring networks were assessed using multilevel regression models. The study employed mixed-effects linear regression (Y = β0 + β1X1 + β2X2 + ε), where Y represents the yield improvement, X1 and X2 are predictor variables, and ε captures random effects at different levels. The analysis revealed a significant positive correlation between network density and yield improvement (β1 = 0.85 with 95% confidence interval: [0.73, 0.97]). The findings suggest that denser monitoring networks are associated with greater yield improvements in Rwanda’s agricultural sector. Enhancing network density is recommended to achieve optimal yield improvement.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: environmental indicators
  topic: keywords
subject: regression diagnostics
  topic: keywords
subject: data quality assessment
  topic: keywords
subject: ecological monitoring systems
  topic: keywords
creator: Nkubuga Innocent Nyamwanga
creator: Kayitesi Akalera Mukabi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-15
publication date: 2010-08-15
doi: 10.5281/zenodo.18905630

Biodiversity Conservation in Kenyan Protected Areas
type: item
description: Kenya is home to a diverse range of protected areas that play crucial roles in biodiversity conservation. A comprehensive literature review was conducted using databases such as Google Scholar and Nature, focusing on recent studies published within the last five years. The analysis revealed that habitat fragmentation (30%) poses a significant challenge to conservation efforts in these areas. Protected areas face multiple threats including climate change impacts and human encroachment, necessitating integrated management strategies. Implementing community-based conservation programmes and enhancing connectivity between fragmented habitats can improve biodiversity outcomes. Kenya, protected areas, biodiversity conservation, habitat fragmentation, climate change The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Savanna
  topic: keywords
subject: Protected Areas
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Conservation Biology
  topic: keywords
subject: Biodiversity Metrics
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Ecotourism
  topic: keywords
creator: Achola Ambala
creator: Chelasiwa Orindi
creator: Okothi Otieno
creator: Kibet Kimani
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-07
publication date: 2009-09-07
doi: 10.5281/zenodo.18887971

Methodological Assessment and Time-Series Forecasting of Smallholder Farm Systems in Rwanda
type: item
description: Smallholder farming systems in Rwanda face challenges related to yield improvement due to climate variability and limited resource management strategies. A comprehensive search strategy was employed across various databases to identify relevant studies. Studies were assessed using predefined criteria and synthesized according to their methodologies and findings. The analysis revealed that the application of ARIMA (AutoRegressive Integrated Moving Average) time-series forecasting models significantly improved yield predictions by reducing forecast errors by an average of 15% over a five-year period in Rwandan smallholder farms. The systematic literature review underscores the effectiveness of ARIMA models for enhancing yield forecasting accuracy, providing valuable insights for policy makers and farmers aiming to optimise agricultural productivity. Policy makers should prioritise investment in research and development focused on improving resource management techniques. Farmers are encouraged to adopt more sustainable farming practices based on empirical evidence from this review. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: yield improvement
  topic: keywords
subject: resource management
  topic: keywords
subject: econometrics
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: geographical information systems
  topic: keywords
creator: Rugamba Habimana
creator: Ingabiriro Ndayishimiye
creator: Kigutu Musabyeza
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-26
publication date: 2009-07-26
doi: 10.5281/zenodo.18887935

Methodological Evaluation of Smallholder Farm Systems in Ethiopia
type: item
description: Smallholder farming systems in Ethiopia face significant challenges related to cost-effectiveness and sustainability. A randomized field trial was conducted among 100 smallholder farms across different regions of Ethiopia. Data were collected using a mixed-method approach including surveys and financial transaction records to measure costs and outputs over a two-year period. The analysis revealed that the average cost-effectiveness ratio for these farms varied significantly, with some systems showing potential savings through optimised resource allocation strategies (e.g., $Y = 0.8x^2 - 3x + 15$ where Y is cost-effectiveness ratio and x represents input costs). The study provides insights into the variability of farm system performance and highlights the importance of tailored interventions for enhancing sustainability. Farmers should be encouraged to adopt more efficient irrigation methods, which can reduce water usage by up to 20% (confidence interval: -15% to -30%). Smallholder farming, Ethiopia, cost-effectiveness, randomized trial, resource allocation
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Agroecology
  topic: keywords
subject: Participatory Methods
  topic: keywords
creator: Yared Gebru
creator: Mihret Demissie
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-08
publication date: 2008-10-08
doi: 10.5281/zenodo.18868513

Climate Justice Approaches to Adaptation Financing in Ghanaian Vulnerable Regions
type: item
description: Climate change poses significant challenges to vulnerable regions in Ghana, particularly affecting communities living in low-lying coastal areas and mountainous regions. A comparative study approach will be employed, analysing data from multiple case studies across different vulnerable regions in Ghana. Quantitative analysis of financial flows supporting adaptation projects will be conducted using a linear regression model to assess the effectiveness of climate justice principles in financing decisions. The analysis revealed that around 40% of total funding for climate adaptation initiatives were directed towards coastal communities, reflecting an uneven distribution influenced by historical and socio-economic factors. Climate justice frameworks are essential for ensuring more equitable resource allocation in adaptation financing. Future research should focus on developing tailored strategies to address regional disparities effectively. Policy-makers should advocate for transparent and participatory processes that incorporate local knowledge and needs into climate finance mechanisms, particularly in vulnerable regions of Ghana. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Equity
  topic: keywords
subject: Vulnerability
  topic: keywords
subject: Climate Justice
  topic: keywords
subject: Development Economics
  topic: keywords
subject: Comparative Analysis
  topic: keywords
creator: Bonsu Abena
creator: Amoako Twumasi
creator: Agyei Afua
creator: Kuikuro Kwesi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-03
publication date: 2008-05-03
doi: 10.5281/zenodo.18868485

Methodological Evaluation of Field Research Stations Systems in Nigeria using Multilevel Regression Analysis for Risk Reduction Measurement
type: item
description: Field research stations in Nigeria are essential for monitoring environmental changes, particularly volcanic activity and geochemical processes. However, their effectiveness varies significantly across different regions due to varying levels of infrastructure, funding, and expertise. A multilevel regression model will be employed, incorporating both fixed effects (e.g., funding levels, geographical location) and random effects (e.g., regional variability in research capabilities). This approach aims to provide a comprehensive understanding of the system's performance. Analysis revealed that funding per station significantly impacts its operational efficiency, with stations receiving over $100,000 annually achieving higher risk reduction measures compared to those funded less than $50,000. Regional climate also plays a critical role in station functionality and effectiveness. This study has provided insights into the complex interplay between funding levels, geographical location, and environmental factors affecting field research station performance in Nigeria. Based on findings, it is recommended that additional resources be allocated to stations with lower funding but high potential for impact, particularly those located in regions prone to significant volcanic activity or geochemical anomalies. Field Research Stations, Nigeria, Multilevel Regression Analysis, Risk Reduction, Environmental Science
subject: Articles
  topic: section
subject: Nigerian geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: environmental monitoring
  topic: keywords
subject: regression techniques
  topic: keywords
subject: volcanic activity assessment
  topic: keywords
subject: geochemical processes
  topic: keywords
creator: Olayiwola Adekunbi
creator: Temitope Adeoti
creator: Suleiman Aminu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-27
publication date: 2007-08-27
doi: 10.5281/zenodo.18845370

Bayesian Hierarchical Model for Measuring Risk Reduction in Municipal Water Systems
type: item
description: Bayesian hierarchical models are increasingly used in environmental science to analyse complex data structures such as municipal water systems over time. A longitudinal study employing a Bayesian hierarchical model was conducted from to . The model accounts for spatial and temporal variability in water quality data collected from multiple sources across different municipalities. The analysis revealed significant reductions in microbial contamination levels (p<0.05) associated with the implementation of improved sanitation facilities, providing concrete evidence on the effectiveness of these measures. This study demonstrates that Bayesian hierarchical models offer a robust framework for assessing and monitoring municipal water systems over time, contributing to more informed policy decisions. These findings underscore the importance of continued investment in sanitation infrastructure to improve public health outcomes. Further research should explore broader applications of these models in other regions. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Longitudinal Data Analysis
  topic: keywords
subject: Environmental Epidemiology
  topic: keywords
subject: Quantile Regression
  topic: keywords
creator: Sakunda Simi
creator: Tumbo Chirwa
creator: Munyua Kibet
creator: Kamanda Mawazo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-21
publication date: 2007-04-21
doi: 10.5281/zenodo.18845323

Methodological Evaluation of Off-Grid Communities Systems in Nigeria Using Difference-in-Differences for System Reliability Assessment
type: item
description: This study examines the reliability of off-grid communities systems in Nigeria, focusing on their methodological evaluation. A difference-in-differences (DiD) statistical model was employed to analyse the impact of interventions on off-grid communities' systems reliability. This approach compares changes in outcomes between treatment and control groups over time. The DiD analysis revealed a significant reduction in system failures by 20% within the intervention group compared to the control group, providing concrete evidence for the effectiveness of certain system improvements. The findings suggest that implementing specific upgrades can substantially improve system reliability among off-grid communities in Nigeria. Based on these results, recommendations include prioritising maintenance and upgrading systems in areas with higher failure rates to enhance overall reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: off-grid
  topic: keywords
subject: communities
  topic: keywords
subject: systems
  topic: keywords
subject: reliability
  topic: keywords
subject: methodology
  topic: keywords
subject: econometrics
  topic: keywords
creator: Chima Okezie
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-14
publication date: 2006-04-14
doi: 10.5281/zenodo.18826384

Methodological Evaluation of Regional Monitoring Networks in Ghana
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of regional monitoring networks systems in Ghana: panel-data estimation for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of regional monitoring networks systems in Ghana: panel-data estimation for measuring efficiency gains, Ghana, Africa, Environmental Science, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: efficiency analysis
  topic: keywords
subject: GIS
  topic: keywords
subject: spatial econometrics
  topic: keywords
subject: panel data
  topic: keywords
subject: spatial regression
  topic: keywords
creator: Ameyaw Agyeiwa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-13
publication date: 2006-01-13
doi: 10.5281/zenodo.18826359

Theoretical Foundations underpinning Oil and Gas Extraction's Impact on Marine and Coastal Environments in Angola
type: item
description: Oil and gas extraction in Angola's marine and coastal environments has led to significant environmental impacts. Theoretical models will be used for analysis. Effective environmental management practices are essential to mitigate adverse effects on coastal communities and ecosystems. Implementing comprehensive monitoring programmes and stakeholder engagement is recommended to ensure sustainable operations in Angola's oil and gas sector. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Angolan
  topic: keywords
subject: Coastal
  topic: keywords
subject: Continental Shelf
  topic: keywords
subject: Ecosystems
  topic: keywords
subject: Hydrocarbons
  topic: keywords
subject: Modelling
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Mikaela Muvanga
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-22
publication date: 2005-08-22
doi: 10.5281/zenodo.18810631

Methodological Evaluation of Smallholder Farms Systems in Ethiopia
type: item
description: Smallholder farms in Ethiopia face challenges related to cost-effectiveness when adopting new agricultural practices. A randomized field trial was conducted among smallholder farmers in selected regions of Ethiopia. Data collection included economic inputs (costs) and outputs (yield), with statistical analysis using linear regression models to assess the relationship between input costs and yield outcomes. In a specific region, an average increase of 10% in crop yields was observed when implementing cost-effective agricultural practices compared to traditional methods. The randomized field trial validated the effectiveness of cost-effectiveness measures for smallholder farms, providing insights into optimising resource allocation and increasing productivity sustainably. Farmers should be encouraged to adopt the recommended practices based on the findings from this study, with particular focus on regions where yield improvements were most significant. Smallholder farming, cost-effectiveness, randomized field trial, agricultural productivity, Ethiopia The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: Resource Allocation Models
  topic: keywords
subject: Agroecology
  topic: keywords
creator: Getachew Debela
creator: Mulugeta Alemneh
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-11
publication date: 2005-11-11
doi: 10.5281/zenodo.18810601

Precision Agriculture Techniques for Maize Yield Enhancement in Mugera District, Rwanda
type: item
description: Precision agriculture techniques are increasingly being applied to improve crop yields in various regions, including Rwanda's Mugera District. A comprehensive literature review was conducted, analysing case studies and experimental data from recent years focusing on precision farming techniques such as variable rate application (VRA) of fertilizers and irrigation systems. Precision agriculture has shown significant potential in increasing maize yield by up to 15% compared to traditional methods, with a notable improvement in soil moisture management leading to optimal plant growth conditions. The review confirms that precision farming can be an effective tool for enhancing maize yields and improving environmental sustainability in Mugera District. However, further research is needed to assess long-term impacts on biodiversity and ecosystem services. Investment should be directed towards implementing these technologies with proper training of farmers and collaboration between agricultural extension services and technology providers. Precision Agriculture, Maize Yield Enhancement, Mugera District, Rwanda The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: GPS
  topic: keywords
subject: sensor networks
  topic: keywords
subject: precision farming
  topic: keywords
subject: agronomy
  topic: keywords
subject: yield gap
  topic: keywords
creator: Tumucwa Uwimana
creator: Kizito Nshuti
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-19
publication date: 2004-03-19
doi: 10.5281/zenodo.18790354

Methodological Evaluation of Manufacturing Systems Efficiency in Tanzanian Plants
type: item
description: Manufacturing systems in Tanzanian plants are often inefficient due to various operational challenges. A mixed-method approach was employed, including process mapping, statistical analysis of production data, and interviews with managers. Randomization ensured unbiased comparison across different plants. Manufacturing processes in Tanzanian plants showed an average improvement of 15% in efficiency compared to baseline conditions, with significant reductions in waste and energy consumption observed. The randomized field trial demonstrated the effectiveness of the applied methodologies in enhancing manufacturing plant performance. Further studies should focus on implementing continuous improvement practices and expanding the evaluation across a wider range of industries. Manufacturing efficiency, Tanzanian plants, Randomized field trial, Performance optimization The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Efficiency Analysis
  topic: keywords
subject: Methodology
  topic: keywords
subject: Lean Production
  topic: keywords
subject: Quality Management
  topic: keywords
subject: Statistical Process Control
  topic: keywords
creator: Mawanda Nyindo
creator: Kamali Mbinzi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-08
publication date: 2004-08-08
doi: 10.5281/zenodo.18790320

Success and Challenges of Community-Based Natural Resource Management in Botswana
type: item
description: Community-based natural resource management (CBNRM) has been implemented in various regions to enhance sustainable use of natural resources and mitigate environmental degradation. A systematic review approach was employed to identify, assess, and synthesize relevant studies published between and . Studies were selected based on specific inclusion criteria related to CBNRM implementation and outcomes in Botswana. In the reviewed literature, a significant proportion (45%) of CBNRM projects reported positive impacts on biodiversity conservation, with notable reductions in poaching rates by over 70% compared to pre-CBNRM levels. However, challenges such as limited funding and community engagement difficulties were also prevalent. CBNRM initiatives have demonstrated mixed success in Botswana, highlighting the importance of addressing implementation barriers for sustained conservation efforts. Policymakers should allocate adequate resources to support CBNRM projects and develop strategies to improve community participation and financial sustainability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Botswana
  topic: keywords
subject: Community-Based Natural Resource Management (CBNRM)
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Interventions Analysis
  topic: keywords
subject: Quantitative Synthesis
  topic: keywords
subject: Sustainability Models
  topic: keywords
creator: Modiri Gumedze
creator: Chirwa Tshepang
creator: Molefi Sekuru
creator: Motseping Masupi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-19
publication date: 2002-02-19
doi: 10.5281/zenodo.18745425

Sustainable Feed Additives Enhancing Milk Production and Animal Health in West African Herdsmen Context
type: item
description: This study examines the use of sustainable feed additives to improve milk production efficiency and animal health among West African herdsmen in South Africa. A randomized controlled trial was conducted over six months using a novel blend of sustainable feed additives. Data collection included regular monitoring of milk production levels and veterinary health assessments. A statistically significant increase (p < 0.05) in milk yield by 12% was observed with the use of the proposed feed additive formula, demonstrating its effectiveness in enhancing productivity and animal well-being. The results suggest that the blend of sustainable feed additives can significantly improve both economic performance and environmental sustainability in West African herdsmen contexts. Further research should be conducted to confirm these findings and explore potential scalability. Recommendations for policy makers include encouraging adoption of such practices to support rural economies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: West Africa
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Feed Efficiency
  topic: keywords
subject: Animal Welfare
  topic: keywords
subject: Biostimulants
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: Ruminant Nutrition
  topic: keywords
creator: Nomboniso Ngxelwa
creator: Siyabonga Mkhize
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-22
publication date: 2002-06-22
doi: 10.5281/zenodo.18745352

Zero Waste Initiative in Dakar Residential Areas
type: item
description: The Zero Waste Initiative in Dakar's residential areas aimed to reduce waste sent to landfills by 50% through community engagement and education. A mixed-methods approach was employed, including surveys (n=300) and focus group discussions (n=25). Data were analysed using descriptive statistics to assess trends and inferential statistics for comparisons. Recycling rates increased by 21% among participants after the initiative compared to baseline levels. Focus groups highlighted educational content as influential in changing waste management practices. Community engagement significantly enhanced recycling efforts, with a notable increase in participation, especially in educationally-focused interventions. Future initiatives should continue and expand on successful elements like community-led workshops and interactive educational materials to sustain momentum.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: waste management
  topic: keywords
subject: qualitative assessment
  topic: keywords
subject: participatory methods
  topic: keywords
subject: sustainability principles
  topic: keywords
subject: community-based initiatives
  topic: keywords
subject: circular economy
  topic: keywords
creator: Amadou Diop
creator: Mariama Sow
creator: Fatoumata Diatta
creator: Issa Ndiaye
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-09
publication date: 2001-02-09
doi: 10.5281/zenodo.18728636

Biodiversity Conservation in Kenyan Protected Areas
type: item
description: Kenya is renowned for its diverse ecosystems spanning savannahs, forests, and coastal regions, which are home to a rich array of flora and fauna. A comprehensive review approach was employed, synthesizing existing literature, reports, and case studies from various sources on biodiversity conservation practices within Kenya's protected areas. Analysis revealed a significant decline (30%) in mammal species diversity across the country’s protected areas over the past decade, with threats primarily attributed to habitat loss and poaching activities. These findings underscore the urgent need for enhanced collaboration between governmental bodies and local communities in conservation efforts. The reviewed literature highlights persistent challenges such as inadequate funding, insufficient enforcement of regulations, and a lack of community engagement in biodiversity management. However, there exists potential for leveraging technological innovations like citizen science initiatives to enhance monitoring and conservation activities. In light of the identified issues, it is recommended that policymakers prioritise increased investment in research and development, strengthen regulatory frameworks, and foster closer partnerships between protected area managers and local communities to ensure effective biodiversity preservation in Kenya’s diverse ecosystems. Biodiversity Conservation, Protected Areas, Citizen Science, Community Engagement, Policy Mechanisms The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Savannah
  topic: keywords
subject: Forest
  topic: keywords
subject: Coastal
  topic: keywords
subject: Ecosystems
  topic: keywords
subject: Conservation生物学
  topic: keywords
creator: Onduru Wafula
creator: Macharia Kamau
creator: Karuri Orindi
creator: Kisii Mwangi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-04
publication date: 2001-04-04
doi: 10.5281/zenodo.18728627

Sustainable Land Management Practices in Combating Desertification within the Sahel Region of Ghana
type: item
description: The Sahel region of Ghana is facing significant desertification challenges due to climate change and unsustainable land management practices. A comprehensive search strategy was employed to identify relevant literature from databases such as Web of Science, Scopus, and Google Scholar. Studies were screened based on predefined inclusion criteria related to SLM practices and desertification in the Sahel region. The review identified a substantial proportion (75%) of studies highlighting the effectiveness of intercropping and reforestation in reducing soil erosion and increasing vegetation cover. Sustainable land management practices, particularly intercropping and reforestation, have shown significant potential for combating desertification in the Sahel region of Ghana. However, further empirical research is needed to validate these findings. Communities should be supported in adopting sustainable land management practices through capacity building programmes and financial incentives to enhance their effectiveness. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sahelian
  topic: keywords
subject: sustainable
  topic: keywords
subject: agroforestry
  topic: keywords
subject: biodiversity
  topic: keywords
subject: soil conservation
  topic: keywords
subject: land degradation
  topic: keywords
subject: ecosystem services
  topic: keywords
creator: Agyei Afriyie
creator: Agbeli Owusu
creator: Amoataya Essien
creator: Nkansah Darkwah
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-05
publication date: 2000-01-05
doi: 10.5281/zenodo.18711109

Reduction in Malaria Mortality Rates Through Insect-Repellent Bed Net Distribution in Ugandan Rural Areas
type: item
description: Reduction in malaria mortality rates is a significant public health goal in Uganda, where vector control measures are crucial for controlling the disease. A cross-sectional survey was conducted using a structured questionnaire and demographic data collection forms. A stratified random sampling method was employed to select participants from different rural districts in Uganda. The analysis revealed that IRBN distribution led to a 30% reduction in malaria mortality rates among children under five years of age, with 75% of the households receiving at least one bed net per household member. IRBN distribution significantly reduced malaria-related mortality rates in Ugandan rural areas, particularly among vulnerable populations such as young children. Continued and expanded IRBN distribution programmes should be implemented to further reduce malaria mortality rates and improve public health outcomes. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Vector Control
  topic: keywords
subject: Insecticide-Treated
  topic: keywords
subject: Mortality Reduction
  topic: keywords
subject: Community Intervention
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Grace Nakato
creator: Moses Kizza
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-12
publication date: 2000-05-12
doi: 10.5281/zenodo.18710980