印度森林碳清查方法综述

A. Wani, P. Joshi, O. Singh, R. Pandey, K. V. Kendra, Gopal Pora
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引用次数: 12

摘要

根据《联合国气候变化框架公约》(UNFCC),参与国必须报告本国温室气体(GHG)排放或吸收的清单。目前的挑战是减少在编制准确和可靠的碳(C)存量变化和排放因子活动数据方面的不确定性,这些数据是报告国家清单所必需的。地上生物量估算的改进也有助于解释可能参与清洁发展机制(CDM)、REDD plus和其他倡议的森林地区碳储量的变化。这种估计所采用的方法因地理位置、研究目标、可用的专门知识、数据和所采用的卓越科学而异。然而,这种评估的当前目标需要一种统一的方法,这种方法可以测量、报告和验证。这可能导致建立热带森林的地理参考生物质量密度数据库,从而减少估计年生物质量增量和森林地上生物量的不确定性。根据上述要求,本文打算概述印度为评估不同森林成分的碳固存潜力而采用的从地方到国家一级的方法。本文还讨论了遥感和地理信息系统(GIS)在这一领域所采取的行动,以及采用综合方法进行可靠、准确和具有成本效益的估算的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon Inventory Methods in Indian Forests - A Review
Under the United Nat ions Framewo rk Convention on Climate Change (UNFCC), part icipating countries are required to report national inventory of greenhouse gas (GHG) emissions or uptake. The current challenge is to reduce the uncertainties in producing accurate and reliable act ivity data of Carbon (C) stock changes and emission factors essential for reporting national inventories. Improvements in above ground biomass estimation can also help account for changes in C stock in forest areas that may potentially participate in the Clean Develop ment Mechanism (CDM), REDD plus and other initiat ives. The methods adopted for such estimations vary with respect to geography, objective of the study, available expertise, data and scientific excellence adopted. However the current objectives for such estimates need a unified approach which can be measurable, reportable, and verifiable. Th is might result to a geographically referenced bio mass density database for tropical forests that would reduce uncertainties in estimat ing annual bio mass increment and forest aboveground biomass. In the light of above requirements, this paper intends to present an overview of the methodologies adopted in India fro m local to country level estimates to assess C sequestration potential in d ifferent forest co mponents. The paper also discusses remote sensing and Geographical Informat ion System (GIS) in itiat ives taken in this field and the possibility of adopting an integrated approach for reliable, accurate and cost effective estimates.
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