评估人类活动对尼日利亚 Stubb's Creek 森林保护区的影响:遥感和地理信息系统方法

Nsikak E. Umoren, G. Obute, K. Ukaegbu
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摘要

土地利用-土地覆盖(LULC)的变化,尤其是在尼日利亚尼日尔三角洲等热带地区,是全球环境变化的关键驱动因素。本研究的重点是对阿夸伊博姆州 Stubb's Creek 森林保护区(SCFR)在基础设施和工业快速发展的情况下森林枯竭的空间评估。使用的数据包括分别于 1986 年、2003 年和 2018 年拍摄的 30m TM 的 Landsat 5、30m TM 的 Landsat 7 和 30m ETM 的 Landsat 8。研究利用遥感和地理信息系统技术,分析了 1986 年至 2018 年间土地利用、土地利用的变化动态,并预测了到 2028 年的未来趋势。研究结果表明,由于石油和天然气勘探以及基础设施建设等人为活动,森林覆盖面积大幅减少,尤其是密林。在研究期间,密林覆盖面积从 1986 年的 12,296 公顷(占总面积的 41.9%)减少到 2018 年的 9,149 公顷(占总面积的 31.2%)。相反,同期建成区面积从 1,385 公顷(4.7%)增至 3,358 公顷(11.4%)。研究预测森林覆盖率将继续下降,预计 2028 年密林覆盖率为 7474 公顷(25.45%)。这些研究结果突出表明,迫切需要制定可持续的土地管理政策,以缓解生物多样性丧失和环境退化问题。遥感和地理信息系统工具有助于监测和了解土地利用、土地利用的变化,为环境保护和土地利用规划方面的知情决策提供宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Anthropogenic Impacts on Stubb’s Creek Forest Reserve, Nigeria: A Remote Sensing and GIS Approach
Land use-land cover (LULC) changes, particularly in tropical regions like the Niger Delta of Nigeria, are critical drivers of global environmental shifts. This study focuses on the spatial assessment of forest depletion in the Stubb’s Creek Forest Reserve (SCFR) in Akwa Ibom State, amidst rapid infrastructural and industrial developments. The data used includes Landsat 5 of 30m TM, Landsat 7 of 30m TM, and Landsat 8 of 30m ETM for 1986, 2003, and 2018 respectively. Using remote sensing and GIS techniques, the research analyzes LULC dynamics between 1986 and 2018 and projects future trends to 2028. Results reveal a significant depletion of forest covers, particularly the Dense Forest, due to anthropogenic activities like oil and gas exploration and infrastructure development. Over the study period, the Dense Forest cover decreased from 12,296 hectares (41.9% of the total area) in 1986 to 9,149 hectares (31.2%) in 2018. Conversely, built-up areas increased from 1,385 hectares (4.7%) to 3,358 hectares (11.4%) during the same period. The study forecasts a continued decline in forest cover, with a projected Dense Forest cover of 7,474 hectares (25.45%) in 2028. These findings underscore the urgent need for sustainable land management policies to mitigate biodiversity loss and environmental degradation. Remote sensing and GIS tools prove instrumental in monitoring and understanding LULC changes, offering valuable insights for informed decision-making in environmental conservation and land use planning.
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