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Ecosystem Service Valuation on the Basis of Land Use and Land Cover Data in the Barasat Sadar Subdivision (West Bengal, India)
Geography and Natural Resources ( IF 0.3 ) Pub Date : 2021-07-13 , DOI: 10.1134/s1875372821010078
D. K. Ghosh 1 , G. S. Bhunia 1
Affiliation  

Abstract

This paper discusses the response of ecosystem service values to land use/land cover (LULC) changes and examines spatial contributions of individual transformations to the ecosystem service functions in the Barasat Sadar subdivision (West Bengal, India) over the period from 1977 to 2016 on the basis of a modified coefficient. Spatiotemporal LULC patterns were identified on the basis of Landsat series satellite images taken at intervals of 10 years. To identify the LULC parameters, a supervised classification was performed on the basis of the maximum likelihood (MXL) classifier. Ecosystem service values have been computed per ha of the terrestrial ecosystem based on coefficients determined for each land cover parameter in earlier studies. In 2016, the highest ecosystem service value was attributed to surface waters ($477.06 million); while the lowest value corresponded to fallow lands ($0.98 million). The results obtained using the assumed coefficient indicate a continuous loss of the total ecosystem service value of $238.92 million over 1977–2016 due to the deterioration of agricultural fallow lands, areas occupied by dense vegetation, and shrubby lands, as well as rapid expansion of arable lands and development of an artificial infrastructure for surface-water bodies. The results of this study can be used as a reference and basis for decision making in the field of wise land resource management. In addition, the obtained data can be used to strike a compromise between urban growth and the decline of ecosystem services.



中文翻译:

基于 Barasat Sadar 分区(印度西孟加拉邦)的土地利用和土地覆盖数据的生态系统服务评估

摘要

本文讨论了生态系统服务价值对土地利用/土地覆盖 (LULC) 变化的响应,并研究了 1977 年至 2016 年期间 Barasat Sadar 分区(印度西孟加拉邦)的个体转变对生态系统服务功能的空间贡献。修正系数的基础。时空 LULC 模式是根据以 10 年为间隔拍摄的 Landsat 系列卫星图像确定的。为了识别 LULC 参数,在最大似然 (MXL) 分类器的基础上进行了监督分类。根据早期研究中为每个土地覆盖参数确定的系数,已计算出每公顷陆地生态系统的生态系统服务价值。2016 年,地表水的生态系统服务价值最高(4.7706 亿美元);而最低价值对应于休耕地(98 万美元)。使用假设系数获得的结果表明,由于农业休耕地、茂密植被和灌木丛地的恶化以及可耕地的快速扩张,1977-2016 年生态系统服务总价值持续损失 2.3892 亿美元。地表水体人工基础设施的开发。本研究结果可为土地资源智慧管理领域的决策提供参考和依据。此外,获得的数据可用于在城市增长和生态系统服务下降之间取得折衷。使用假设系数获得的结果表明,由于农业休耕地、茂密植被和灌木丛地的恶化以及可耕地的快速扩张,1977-2016 年生态系统服务总价值持续损失 2.3892 亿美元。地表水体人工基础设施的开发。本研究结果可为土地资源智慧管理领域的决策提供参考和依据。此外,获得的数据可用于在城市增长和生态系统服务下降之间取得折衷。使用假设系数获得的结果表明,由于农业休耕地、茂密植被和灌木丛地的恶化以及可耕地的快速扩张,1977-2016 年生态系统服务总价值持续损失 2.3892 亿美元。地表水体人工基础设施的开发。本研究结果可为土地资源智慧管理领域的决策提供参考和依据。此外,获得的数据可用于在城市增长和生态系统服务下降之间取得折衷。以及可耕地的迅速扩张和地表水体人工基础设施的发展。本研究结果可为土地资源智慧管理领域的决策提供参考和依据。此外,获得的数据可用于在城市增长和生态系统服务下降之间取得折衷。以及可耕地的迅速扩张和地表水体人工基础设施的发展。本研究结果可为土地资源智慧管理领域的决策提供参考和依据。此外,获得的数据可用于在城市增长和生态系统服务下降之间取得折衷。

更新日期:2021-07-13
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