Quantifying habitat and biodiversity services and hotspots of Indian forests: A GIS-Based assessment

IF 5.4 Q1 ENVIRONMENTAL SCIENCES
Rajiv Pandey , Divya Mehta , Lakshmikant Tiwari , Ranjeet Kumar , Rakesh Kumar Dogra
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Abstract

The present study attempted to quantify and value of supporting services of India's forest ecosystem. The supporting services comprises by habitat and biodiversity services across India's sixteen forest types was estimated using data for various factors through Remote Sensing and secondary sources as per the proposed model. Indicators were combined using an Analytical Hierarchical Process, and various class of each service was also estimated using the equal interval method in QGIS. Hotspot analysis was used to identify key areas for forest conservation. The results suggest that littoral and swamp forest had maximum habitat services and tropical semi-evergreen forest had maximum biodiversity service and tropical wet evergreen forest had maximum supporting services. Out of total forest of country, 11.52%, 17.48% and 10.34% forest area was having high value for habitat, biodiversity and supporting service, respectively. Hotspot analysis revealed that 22.93%, 23.61% and 26.44% Indian forest had high habitat, biodiversity and supporting service, respectively. The annual per hectare economic value using Benefit Transfer method for habitat, biodiversity and supporting services of forests was US$ 4330.71, US$ 5987.38 and US$ 10,624.23, respectively. The annual economic value of habitat, biodiversity and supporting services from Indian forests was US$ 303,506.09 million, US$ 419,609.45 million and US$ 744,570.85 million, respectively. In totality, tropical dry deciduous forest, tropical moist deciduous and tropical semi-deciduous forest had high economic value for supporting service. Monetary valuation of forest ecosystem services assists to determine the net present value and costs for conservation interventions. Biodiversity hotspots as the Western Ghats, Indo-Burma region, and Eastern Himalayas offer high ecosystem service and thus attach prime importance for conservation, while the Western Himalayas, with lower ecosystem service, requires customized ecosystem management strategies.

量化印度森林的生境和生物多样性服务及热点:基于地理信息系统的评估
本研究试图量化印度森林生态系统的支持服务及其价值。根据提议的模型,通过遥感和二手资料来源,利用各种因素的数据估算了印度 16 种森林类型中由栖息地和生物多样性服务组成的支持服务。使用层次分析法对指标进行了组合,并使用 QGIS 中的等间隔法对每种服务的不同等级进行了估算。热点分析用于确定森林保护的关键区域。结果表明,滨海和沼泽森林具有最大的生境服务功能,热带半常绿森林具有最大的生物多样性服务功能,热带湿常绿森林具有最大的支持服务功能。在全国森林总面积中,分别有 11.52%、17.48% 和 10.34% 的森林面积具有较高的生境、生物多样性和支持服务价值。热点分析显示,印度分别有 22.93%、23.61% 和 26.44% 的森林具有较高的栖息地、生物多样性和支持服务价值。采用效益转移法计算的森林栖息地、生物多样性和支持服务的每公顷年经济价值分别为 4330.71 美元、5987.38 美元和 10624.23 美元。印度森林的栖息地、生物多样性和辅助服务的年经济价值分别为 3,035.609 亿美元、4.196.0945 亿美元和 7.445785 亿美元。总体而言,热带干燥落叶林、热带潮湿落叶林和热带半落叶林的支持服务具有较高的经济价值。对森林生态系统服务进行货币估值有助于确定保护干预措施的净现值和成本。西高止山脉、印缅地区和东喜马拉雅山等生物多样性热点地区具有较高的生态系统服务价值,因此是保护工作的重中之重,而西喜马拉雅山地区的生态系统服务价值较低,因此需要量身定制的生态系统管理战略。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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