“…Tailings dams which store toxic by-products of mineral extraction processes in large reservoirs are a particular risk as they can fail causing pollution of soils and waterways which impacts land at some distance from the mine itself 50 . Mines can also impact socio-ecological systems, causing displacement of nearby communities and limiting their access to resources 51 . Our analysis cannot say anything about what effect the 22 newly established mines had on these outcomes.…”
Mining is a vital part of the global, and many national, economies. Mining also has the potential to drive extensive land cover change, including deforestation, with impacts reaching far from the mine itself. Understanding the amount of deforestation associated with mining is important for conservationists, governments, mining companies, and consumers, yet accurate quantification is rare. We applied statistical matching, a quasi-experimental methodology, along with Bayesian hierarchical generalized linear models to assess the impact on deforestation of new mining developments in Zambia from 2000 to present. Zambia is a globally significant producer of minerals and mining contributes ~ 10% of its gross domestic product and ~ 77% of its exports. Despite extensive deforestation in mining impacted land, we found no evidence that any of the 22 mines we analysed increased deforestation compared with matched control sites. The extent forest lost was therefore no different than would likely have happened without the mines being present due to other drivers of deforestation in Zambia. This suggests previous assessments based on correlative methodologies may overestimate the deforestation impact of mining. However, mining can have a range of impacts on society, biodiversity, and the local environment that are not captured by our analysis.
“…Tailings dams which store toxic by-products of mineral extraction processes in large reservoirs are a particular risk as they can fail causing pollution of soils and waterways which impacts land at some distance from the mine itself 50 . Mines can also impact socio-ecological systems, causing displacement of nearby communities and limiting their access to resources 51 . Our analysis cannot say anything about what effect the 22 newly established mines had on these outcomes.…”
Mining is a vital part of the global, and many national, economies. Mining also has the potential to drive extensive land cover change, including deforestation, with impacts reaching far from the mine itself. Understanding the amount of deforestation associated with mining is important for conservationists, governments, mining companies, and consumers, yet accurate quantification is rare. We applied statistical matching, a quasi-experimental methodology, along with Bayesian hierarchical generalized linear models to assess the impact on deforestation of new mining developments in Zambia from 2000 to present. Zambia is a globally significant producer of minerals and mining contributes ~ 10% of its gross domestic product and ~ 77% of its exports. Despite extensive deforestation in mining impacted land, we found no evidence that any of the 22 mines we analysed increased deforestation compared with matched control sites. The extent forest lost was therefore no different than would likely have happened without the mines being present due to other drivers of deforestation in Zambia. This suggests previous assessments based on correlative methodologies may overestimate the deforestation impact of mining. However, mining can have a range of impacts on society, biodiversity, and the local environment that are not captured by our analysis.
“…The 2010 revised National Water Policy incorporates contemporary water management principles, tackles poverty reduction, and includes measures such as the National Decentralization Policy. The mining industry benefits national and local economies, yet it presents issues if not managed effectively (Hamed et al, 2024;Takam Tiamgne et al, 2022;Uhlendhal et al, 2011;Zabré et al, 2021).…”
This research digs into the convoluted topography of water contamination in Zambia's Copperbelt Province, with an emphasis on the important contributions of mining and sewage effluent. This report provides major conclusions about the origins, types, and effects of contaminants in the region's water bodies based on a thorough review of current research and empirical evidence. Mining activities emerge as a major source of water pollution, with effluent contaminated with heavy metals, sulphates, and other compounds that pose serious hazards to aquatic ecosystems and public health. Despite efforts to improve wastewater treatment, shortcomings persist, resulting in the leakage of toxic effluent into neighboring waterways. Similarly, sewage wastewater contributes to contamination by including faecal coliforms, nutrients, oils, and heavy metals. The effects of water contamination are far-reaching, as indicated by increasing pollutant concentrations in stream sediments and downstream bodies. Aquatic life suffers from habitat destruction, diminished biodiversity, and negative health effects, while communities relying on these water supplies face increased health risks. Given these issues, the paper analyses potential solutions and recommendations for effective wastewater management, with a focus on interdisciplinary collaboration, technical innovation, and regulatory enforcement. Initiatives fostering recycling, resource recovery, and the implementation of advanced treatment technology hold promise for minimizing water pollution and maintaining sustainable water management practices in the Copperbelt Province.
“…It is not just something that goes into the production process: it is the basis for the power to act and ultimately bring about change [31][32][33]. The level and diversification of assets and capabilities is determined in part by people's status and entitlements in a particular context [23,[34][35][36][37][38]. It protects households against risks from the outside [39] and enables them to adapt when risks cannot be avoided [28].…”
The purpose of investigating livelihood strategies is to seek patterns that can be acted upon in order to improve livelihood prospects. This paper assesses household livelihood strategies and their determinates by asking (1) how urban households manage and mobilise resources and (2) how they combine assets—emphasising the existing strategies they adopt and their outcomes. Using a mixed-method cross-sectional design, four informal settlements were surveyed. Household questionnaires were developed and used to collect data from 425 households in Calabar, Nigeria. A total of 45 interviews, non-participant observation, and 2 focus groups were conducted. Quantitative data were analysed using the Statistical Package for Social Science (SPSS version 26, IBM, Armonk, NY, USA) and presented using tables. The qualitative data were collected, coded and analysed using NVivo 1.2 (QRS International). Fundamental context-related livelihood strategies in asset building are identified, and the diverse approaches and constraints that emerged are analysed. The result shows that households diversify their assets with strategies which are complex and diverse. This ranges from the extension of spaces and sub-letting a room to reducing their expenses (by spending less), borrowing from friends and relatives, and seeking help from community organisations. Others include pawning their belongings, engaging in home-based enterprises, and investing in children’s education, migration, and urban agriculture. Findings further indicate the ability of households to avoid or reduce their vulnerability and to increase their productivity depends on their initial assets and on their ability to transform them into income, food, or other necessities. This paper recommends ways of strengthening and supporting households’ strategies to cope with and reduce housing vulnerability.
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