Local populations in Cameroon thrive on forest resources and the flow of ecosystem services they provide are pivotal in sustaining national economy, improving people’s lives, safeguarding biodiversity, and mitigating...Local populations in Cameroon thrive on forest resources and the flow of ecosystem services they provide are pivotal in sustaining national economy, improving people’s lives, safeguarding biodiversity, and mitigating the impacts of environmental changes. The exploitation of these resources invariably leads to deforestation and forest degradation. This study was designed to evaluate land use land cover change (LULCC) in the Eseka alluvial gold mining district with the aid of Landsat images. In the investigation of forest cover change, four Landsat satellite images for (1990, 2002, 2015 and 2022) were used. Ground-truthing also helped to identify the activities carried out by the local population and to determine agents, drivers and pressures of land use and land cover change. Four main land cover classes namely: forest, agricultural land, settlement/mining camps and water bodies were selected. Between 1990 and 2022, the proportion of forest decreased from 98% to 34% while those of agricultural land and settlement/mining camps increased from 2% to 60% and 0.54% to 6% respectively. Analysis showed ongoing deforestation with forest cover loss of ~98,263 ha in 32 years giving a cover change percentage of 63.94%. Kappa coefficient for the study period ranged from 0.92 to 0.99. Forest cover loss could be attributed to farming activities, wood extraction and alluvial gold mining activities. Economic motives notably the need to increase household income from a frequent demand for farm and wood products in neighbouring towns and the quest for gold were the main drivers of these activities. Hence, this study assesses the impact of human activities from the mining sector on the forest ecosystem in a bid to inform mitigation policies.展开更多
高潜水位矿区采矿活动及城镇化发展会导致土地利用类型明显变化,进而影响矿区的固碳能力。采用潘谢矿区2002-2021年5期土地利用数据,利用FLUS(Future Land Use Simulation)模型,选取了采矿、社会经济和气候环境等方面数据作为驱动因子,...高潜水位矿区采矿活动及城镇化发展会导致土地利用类型明显变化,进而影响矿区的固碳能力。采用潘谢矿区2002-2021年5期土地利用数据,利用FLUS(Future Land Use Simulation)模型,选取了采矿、社会经济和气候环境等方面数据作为驱动因子,分别预测了自然发展和生态保护两种情景下2028年土地利用变化,再结合InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs)模型,计算了潘谢矿区2002-2021年的历史碳储量以及2028年不同情景下的未来碳储量,并对潘谢矿区碳储量的时空变化特征进行了分析。结果表明:(1)2002-2021年潘谢矿区土地利用变化表现为耕地不断减少,湿地和建筑用地持续增加,其中耕地减少了147.93 km^(2),湿地和建筑用地分别增加了71.01 km^(2)和75.76 km^(2)。在此期间,潘谢矿区碳储量减少了1.62×10^(5)t,减少幅度为3.83%,其中在2018-2021年碳储量下降最快。(2)预测结果显示,2028年2种情景下研究区内土地利用变化均为湿地和建筑用地持续增加,耕地不断减少。但相较于自然发展情景,生态保护情景下矿区内耕地受到保护,面积有所增加,湿地和建筑用地的增长减缓。与2021年相比,自然发展情景下的碳储量减少了0.74×10^(5)t,生态保护情景下的碳储量减少了0.53×10^(5)t。研究结果表明,受采煤沉陷和城镇发展影响,沉陷湿地和建筑用地扩张导致耕地减少是碳储量下降的主要原因,采取生态保护措施能够在一定程度上减缓碳储量的下降。展开更多
文摘Local populations in Cameroon thrive on forest resources and the flow of ecosystem services they provide are pivotal in sustaining national economy, improving people’s lives, safeguarding biodiversity, and mitigating the impacts of environmental changes. The exploitation of these resources invariably leads to deforestation and forest degradation. This study was designed to evaluate land use land cover change (LULCC) in the Eseka alluvial gold mining district with the aid of Landsat images. In the investigation of forest cover change, four Landsat satellite images for (1990, 2002, 2015 and 2022) were used. Ground-truthing also helped to identify the activities carried out by the local population and to determine agents, drivers and pressures of land use and land cover change. Four main land cover classes namely: forest, agricultural land, settlement/mining camps and water bodies were selected. Between 1990 and 2022, the proportion of forest decreased from 98% to 34% while those of agricultural land and settlement/mining camps increased from 2% to 60% and 0.54% to 6% respectively. Analysis showed ongoing deforestation with forest cover loss of ~98,263 ha in 32 years giving a cover change percentage of 63.94%. Kappa coefficient for the study period ranged from 0.92 to 0.99. Forest cover loss could be attributed to farming activities, wood extraction and alluvial gold mining activities. Economic motives notably the need to increase household income from a frequent demand for farm and wood products in neighbouring towns and the quest for gold were the main drivers of these activities. Hence, this study assesses the impact of human activities from the mining sector on the forest ecosystem in a bid to inform mitigation policies.
文摘高潜水位矿区采矿活动及城镇化发展会导致土地利用类型明显变化,进而影响矿区的固碳能力。采用潘谢矿区2002-2021年5期土地利用数据,利用FLUS(Future Land Use Simulation)模型,选取了采矿、社会经济和气候环境等方面数据作为驱动因子,分别预测了自然发展和生态保护两种情景下2028年土地利用变化,再结合InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs)模型,计算了潘谢矿区2002-2021年的历史碳储量以及2028年不同情景下的未来碳储量,并对潘谢矿区碳储量的时空变化特征进行了分析。结果表明:(1)2002-2021年潘谢矿区土地利用变化表现为耕地不断减少,湿地和建筑用地持续增加,其中耕地减少了147.93 km^(2),湿地和建筑用地分别增加了71.01 km^(2)和75.76 km^(2)。在此期间,潘谢矿区碳储量减少了1.62×10^(5)t,减少幅度为3.83%,其中在2018-2021年碳储量下降最快。(2)预测结果显示,2028年2种情景下研究区内土地利用变化均为湿地和建筑用地持续增加,耕地不断减少。但相较于自然发展情景,生态保护情景下矿区内耕地受到保护,面积有所增加,湿地和建筑用地的增长减缓。与2021年相比,自然发展情景下的碳储量减少了0.74×10^(5)t,生态保护情景下的碳储量减少了0.53×10^(5)t。研究结果表明,受采煤沉陷和城镇发展影响,沉陷湿地和建筑用地扩张导致耕地减少是碳储量下降的主要原因,采取生态保护措施能够在一定程度上减缓碳储量的下降。
