Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, India.
Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Roorkee, India.
Environ Monit Assess. 2024 May 31;196(6):590. doi: 10.1007/s10661-024-12748-2.
Anthropogenic activities have drastically transformed natural landscapes, profoundly impacting land use and land cover (LULC) and, consequently, the provision and functionality of ecosystem service values (ESVs). Evaluating the changes in LULC and their influence on ESVs is imperative to protect ecologically fragile ecosystems from degradation. This study focuses on a highly sensitive Upper Ganga riverine wetland in India, covering Hapur, Amroha, Bulandshahr, and Sambhal districts, which is well-known for its significant endemic flora and fauna. The study analyzes the subtle variability in ecosystem services offered by the various LULC biomes, including riverine wetland, built-up, cropland, forest, sandbar, and unused land. LULC classification is carried out using Landsat satellite imagery 5 and 8 for the years 2000, 2010, and 2020, using the random forest method. The spatiotemporal changing pattern of ESVs is assessed utilizing the value transfer method with two distinct value coefficients: global value coefficients (C14) for a worldwide perspective and modified local value coefficients X08 for a more specific local context. The results show a significant increase in built-up and unused land, with a corresponding decrease in wetlands and forests from 2000 to 2020. The combined ESVs for all the districts are worth US $5072 million (C14) and US $2139 million (X08) in the year 2000, which declined to US $4510 million (C14) and US $1770 million (X08) in the year 2020. The sensitivity analysis reveals that the coefficient of sensitivity (CS) is below one for all biomes, suggesting the robustness of the employed value coefficients in estimating ESVs. Moreover, the analysis identifies cropland, followed by forests and wetlands, as the LULC biomes most responsive to changes. This research provides crucial insights to stakeholders and policymakers for developing sustainable land management practices aimed at enhancing the ecological worth of the Upper Ganga Riverine Wetland.
人为活动极大地改变了自然景观,深刻影响了土地利用和土地覆盖(LULC),从而影响了生态系统服务价值(ESV)的提供和功能。评估 LULC 的变化及其对 ESV 的影响对于保护生态脆弱的生态系统免受退化至关重要。本研究以印度上恒河河流湿地为重点,该湿地覆盖了哈里亚纳邦的哈普尔、阿莫拉、布兰德沙尔和萨米尔地区,以其重要的特有植物群和动物群而闻名。该研究分析了河流湿地、建成区、耕地、森林、沙洲和未利用土地等各种 LULC 生物群落提供的生态系统服务的微妙变化。使用随机森林方法,使用 Landsat 卫星图像 5 和 8 对 2000 年、2010 年和 2020 年的 LULC 进行分类。利用价值转移方法评估 ESV 的时空变化模式,该方法使用两个不同的价值系数:全球价值系数(C14)用于全球视角和修改后的本地价值系数 X08 用于更具体的本地背景。结果表明,从 2000 年到 2020 年,建成区和未利用土地显著增加,湿地和森林相应减少。所有地区的综合 ESV 在 2000 年分别为 5.072 亿美元(C14)和 2.139 亿美元(X08),在 2020 年分别降至 4.510 亿美元(C14)和 1.770 亿美元(X08)。敏感性分析表明,所有生物群落的敏感性系数(CS)均低于 1,这表明所采用的价值系数在估计 ESV 方面具有稳健性。此外,分析表明,耕地、其次是森林和湿地,是对变化最敏感的 LULC 生物群落。本研究为利益相关者和决策者提供了重要的见解,以制定可持续的土地管理实践,旨在提高上恒河河流湿地的生态价值。