Estimating monetary loss of forest ecosystem goods following wildfire in a North Indian mountain state, Uttarakhand: Methodological improvement to capture various losses

Q2 Environmental Science
G.C.S. Negi , Pradeep Singh , Himanshu Bargali , S.P. Singh
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Abstract

In the recent decades forest fire (FF) has become a major issue across the globe causing colossal loss to forest wealth and quality of environment. In the north of India, the mountainous state Uttarakhand is one of the worst sufferers of recurrent FF causing enormous loss to the forest ecosystem goods and services (FES). Hitherto, the monetary loss estimation based on the norms of Forest Deptt. considers only timber, resin and tree regeneration, grossly undermining the other important tangible benefits of forest ecosystems making compensation policy ambiguous. We devised simple methodology to estimate the quantities and monetary value of various forest ecosystem goods (FEGs) lost to FF on per ha forest area basis across three major forest types of Uttarakhand. Study involved a total of 5040 sample plots (840 for trees, 1680 for shrubs and 2520 for herbs) across the 42 study sites (burnt forest and adjacent unburnt control forest) considering severity of FF, slope, aspect and altitude of the forests, classified using Moderate Resolution Imaging Spectroradiometer (MODIS), Simple Network Paging Protocol (SNPP) and Visible Infrared Imaging Radiometer Suite (VIIRS) satellite data. Monetary loss value of the FEGs thus estimated (mean= Indian Rupee (INR) 1,30,387 ha−1; range= INR 9,595–3,52,752 ha−1) using the Market Price Method for marketed goods and stakeholder’s Contingent Valuation Method for non-marketed goods was found highest for timber (59 % of the total loss), tree regeneration (15 %), fuelwood (8 %), wild edibles (7 %), leaf litter (4 %), resin (3 %), fodder (2 %) and MAPs (1 %). Moderate fire accrued significantly (P < 0.049) greater loss than the low severity fire, and the loss was positively related to altitude (P < 0.048), slope (P < 0.039) and aspect (P < 0.041) of the forests. Thus, the monetary loss due to FF we estimated was 65–90 times greater than it was reported so far in Uttarakhand. We recorded some benefits associated with the FF such as better growth of grasses, plant species richness and yield of a few wild edibles. This pioneering study carried out under the restrictions of Covid-19 will redirect the attention of policy makers, forest managers, the media, and society toward the economic and ecological consequences of FF, and calls for detailed studies to better understand the loss of FES to FF.
估计北印度阿坎德邦山火后森林生态系统商品的经济损失:方法改进以捕捉各种损失
近几十年来,森林火灾已成为全球性的重大问题,给森林财富和环境质量造成巨大损失。在印度北部,多山的北阿坎德邦是经常性FF受灾最严重的地区之一,造成森林生态系统产品和服务(FES)的巨大损失。迄今为止,货币损失的估计是根据林业部门的规范进行的。只考虑木材、树脂和树木再生,严重破坏了森林生态系统的其他重要有形利益,使补偿政策模糊不清。我们设计了一种简单的方法来估计在北阿坎德邦三种主要森林类型的基础上,每公顷森林面积上各种森林生态系统产品(feg)损失给FF的数量和货币价值。考虑到森林的FF严重程度、坡度、坡向和海拔高度,研究共涉及42个研究点(烧毁林和相邻未烧毁对照林)的5040个样地(840个乔木样地,1680个灌木样地和2520个草本样地),使用中分辨率成像光谱仪(MODIS)、简单网络Paging协议(SNPP)和可见光红外成像辐射计组件(VIIRS)卫星数据进行分类。因此,估计联邦政府的货币损失价值(平均=印度卢比(INR) 1,30,387 ha - 1;范围= 9,595 - 3,52,752公顷(1)),使用市场商品的市场价格法和利益相关者对非市场商品的条件评估法发现,木材(占总损失的59%)、树木再生(15%)、薪柴(8%)、野生可食性(7%)、凋落叶(4%)、树脂(3%)、饲料(2%)和MAPs(1%)的损失最高。中度火灾累积显著(P <;0.049)损失大于低烈度火灾,且损失与海拔高度呈正相关(P <;0.048),斜率(P <;0.039)和aspect (P <;0.041)的森林。因此,我们估计FF造成的经济损失是迄今为止在北阿坎德邦报告的65-90倍。我们记录了一些与FF相关的好处,如草的生长更好,植物种类丰富和一些野生食用植物的产量。这项在新冠肺炎疫情限制下开展的开创性研究将使政策制定者、森林管理者、媒体和社会的注意力转向森林森林的经济和生态后果,并呼吁进行详细研究,以更好地了解森林森林对森林森林的损失。
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来源期刊
Environmental Advances
Environmental Advances Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.30
自引率
0.00%
发文量
165
审稿时长
12 weeks
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