A. Wani, P. Joshi, O. Singh, R. Pandey, K. V. Kendra, Gopal Pora
{"title":"Carbon Inventory Methods in Indian Forests - A Review","authors":"A. Wani, P. Joshi, O. Singh, R. Pandey, K. V. Kendra, Gopal Pora","doi":"10.5923/J.IJAF.20120206.09","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13804,"journal":{"name":"International Journal of Agriculture and Forestry","volume":"43 1","pages":"315-323"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Agriculture and Forestry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5923/J.IJAF.20120206.09","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
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.