Comparative Study of Above Ground Biomass and Carbon Stock in Chakrata Forest Division

Raushan Kumar Yadav, Shefali Kesarwani, V. Dhawan, P. Sinha, Arpana Pandey
{"title":"Comparative Study of Above Ground Biomass and Carbon Stock in Chakrata Forest Division","authors":"Raushan Kumar Yadav, Shefali Kesarwani, V. Dhawan, P. Sinha, Arpana Pandey","doi":"10.9734/ijecc/2024/v14i74320","DOIUrl":null,"url":null,"abstract":"Forests plays important role in ecosystem. Forest shows a variety of ecosystem services, one of the most important ones being absorbing carbon dioxide from the atmosphere and converting it into biomass. Biomass refers to the mass of the living organism within a tree. Forests play a major role in sequestering carbon and regulating the global carbon and energy cycles. Accurately estimating forest biomass is crucial for understanding carbon stock and sequestration, forest degradation, and climate change mitigation. The primary objective of this research paper is to find out above ground biomass as well as carbon stock of coniferous species of Chakrata forest division also known as “Jaunsar Bawar” located in the state Uttarakhand. Sample plots are selected on random basis in 22 compartments from where data is collected. Techniques used for assessment of biomass are traditional field measurement. Biomass has measured through collection of information on DBH, Number of tree species, tree height etc within sample plots. The present study demonstrates that Chakrata forest division is one of most floristic diverse forest area. Chakrata forest division is very diverse consisting of 5 major forest types from sub-tropical to alpine forest. Under Chakrata forest division Kanasar forest range is acclaimed in Asia for Deodar tree growth. Present study also illustrates the well growth of Deodar, Kail, Silver fir and Spruce. In this study highest average AGB 107.41 tonnes/ha is recorded in case of Cedrus deodara species with Average carbon stock of 226.7 tonnes/ha as compared to Fir and spruce which are 53.51 tones/ha and 113.29 tonnes/ha. In case of species Pinus wallichiana Average above ground biomass is 38.3 ton/ha and average carbon stock is 81.08 ton/ha.","PeriodicalId":506431,"journal":{"name":"International Journal of Environment and Climate Change","volume":"50 18","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environment and Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ijecc/2024/v14i74320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Forests plays important role in ecosystem. Forest shows a variety of ecosystem services, one of the most important ones being absorbing carbon dioxide from the atmosphere and converting it into biomass. Biomass refers to the mass of the living organism within a tree. Forests play a major role in sequestering carbon and regulating the global carbon and energy cycles. Accurately estimating forest biomass is crucial for understanding carbon stock and sequestration, forest degradation, and climate change mitigation. The primary objective of this research paper is to find out above ground biomass as well as carbon stock of coniferous species of Chakrata forest division also known as “Jaunsar Bawar” located in the state Uttarakhand. Sample plots are selected on random basis in 22 compartments from where data is collected. Techniques used for assessment of biomass are traditional field measurement. Biomass has measured through collection of information on DBH, Number of tree species, tree height etc within sample plots. The present study demonstrates that Chakrata forest division is one of most floristic diverse forest area. Chakrata forest division is very diverse consisting of 5 major forest types from sub-tropical to alpine forest. Under Chakrata forest division Kanasar forest range is acclaimed in Asia for Deodar tree growth. Present study also illustrates the well growth of Deodar, Kail, Silver fir and Spruce. In this study highest average AGB 107.41 tonnes/ha is recorded in case of Cedrus deodara species with Average carbon stock of 226.7 tonnes/ha as compared to Fir and spruce which are 53.51 tones/ha and 113.29 tonnes/ha. In case of species Pinus wallichiana Average above ground biomass is 38.3 ton/ha and average carbon stock is 81.08 ton/ha.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Chakrata 林区地面生物量和碳储量比较研究
森林在生态系统中发挥着重要作用。森林提供多种生态系统服务,其中最重要的是吸收大气中的二氧化碳并将其转化为生物量。生物量是指树木中生物的质量。森林在固碳和调节全球碳和能量循环方面发挥着重要作用。准确估算森林生物量对于了解碳储量和固碳、森林退化以及减缓气候变化至关重要。本研究论文的主要目的是了解北阿坎德邦 Chakrata 林区(又称 "Jaunsar Bawar")针叶树种的地上生物量和碳储量。样本地块在 22 个分区中随机选取,并从中收集数据。生物量评估采用的是传统的实地测量技术。通过收集样本地块内的 DBH、树种数量、树高等信息来测量生物量。本研究表明,查克拉塔林区是植物种类最丰富的林区之一。Chakrata 林区由 5 种主要森林类型组成,从亚热带森林到高山森林,种类繁多。查克拉塔森林分区下的卡纳萨尔(Kanasar)林区因菩提树的生长而在亚洲享有盛誉。本研究也说明了铎达树、噶尔树、银杉和云杉的良好生长情况。与冷杉和云杉的平均碳储量(53.51 吨/公顷和 113.29 吨/公顷)相比,雪松的平均碳储量最高,达到 107.41 吨/公顷,平均碳储量为 226.7 吨/公顷。红松的平均地上生物量为 38.3 吨/公顷,平均碳储量为 81.08 吨/公顷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Study on Soil Particle Distribution and Nutrient Availability in Maize-productive Zones of Jagtial District, Telangana, India A Study on Soil Particle Distribution and Nutrient Availability in Maize-productive Zones of Jagtial District, Telangana, India Agro-ecological Alternatives for Fall Armyworm Management in Maize: A Review Identification of Groundwater Potential Zones in Wakawali Watershed Using Remote Sensing and Geographic Information System (GIS) Influence of Varieties and Sowing Dates on Growth, Yield Attributes and Yield of Chickpea (Cicer arietinum L.) under Delayed Sowing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1