Assessment and prediction of carbon sequestration using Markov chain and InVEST model in Sariska Tiger Reserve, India

固碳 环境科学 碳汇 温室气体 生物量(生态学) 碳纤维 初级生产 气候变化 碳循环 植树造林 生态系统 二氧化碳 农林复合经营 生态学 数学 复合数 生物 算法
作者
Deepakshi Babbar,G. Areendran,Mehebub Sahana,Kiranmay Sarma,Krishna Raj,Akhil Sivadas
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:278: 123333-123333 被引量:162
标识
DOI:10.1016/j.jclepro.2020.123333
摘要

Enhancing and conserving carbon pools in vegetation is a major climate change mitigation strategy. The dynamics of carbon in terrestrial ecosystems depend on processes like photosynthesis, respiration, decomposition and combustion, anthropogenic activities like emission of greenhouse gases and climatic variations in rainfall and temperature, and is stored as biomass in different forms. The quantification of biomass is necessary to understand the productivity of forests, carbon sink and source dynamics and recommend ways to aid sequestration through supply side interventions like afforestation and demand side measures that check wood consumption. In this study, carbon sequestration based on the change in total carbon in two different scenarios using Markov chain and InVEST model is evaluated for the years 2000, 2018 and predicted for 2035. The results show that 1.351 Tg carbon has already been lost from 2000 to 2018 in the forest area of Sariska Tiger Reserve and another 0.107 Tg of carbon is expected to be lost in the predicted future, when we compare the land use land cover of the year 2035 with the present scenario. The local communities extract fuelwood by cutting down tree branches illegally, which leads to carbon loss into the atmosphere. The lower release of carbon in 2035 as compared to 2018 is because of forest management practices e.g., plantations done in the range Tehla-Talabberi, Sariska- Ganeshpura, Alwar buffer-Shoydanpura, Talvriksh-Manavaas, Akbarpur-Kalikhol, Ajabgarh-Jatwana. The study shows that the economic value of carbon lost from 2000 to 2018 is million $ 214.57 and if we see the economic value of the predicted year 2035, carbon sequestration is worth million $ 17.19. Outputs demonstrate the potential for restoration/reforestation and afforestation as the most practical carbon loss mitigation strategy and calls for improved access to cleaner energy sources where the renewable energy industry and government may pitch in.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
2秒前
ddd完成签到,获得积分10
2秒前
勤劳怜寒发布了新的文献求助20
3秒前
liian7应助tang采纳,获得10
4秒前
苏震坤发布了新的文献求助10
4秒前
精明寄灵发布了新的文献求助10
4秒前
4秒前
星辰大海应助wss采纳,获得10
5秒前
传奇3应助叙温雨采纳,获得10
5秒前
edc完成签到,获得积分10
5秒前
SuperGG完成签到,获得积分10
5秒前
极品小亮发布了新的文献求助10
8秒前
小王发布了新的文献求助10
9秒前
hhx关注了科研通微信公众号
10秒前
科目三应助upupup111采纳,获得10
10秒前
10秒前
xiaozhuzhu发布了新的文献求助20
11秒前
12秒前
精明寄灵完成签到,获得积分10
12秒前
13秒前
幽默的乘风完成签到,获得积分0
13秒前
爆米花应助泡面采纳,获得10
13秒前
Davy_Y发布了新的文献求助10
16秒前
16秒前
17秒前
ycw123完成签到,获得积分10
17秒前
Moon完成签到,获得积分10
18秒前
yi发布了新的文献求助10
19秒前
烟花应助香蕉子骞采纳,获得10
20秒前
Davy_Y完成签到,获得积分10
20秒前
21秒前
21秒前
22秒前
李健应助superbeier采纳,获得10
25秒前
26秒前
科研通AI2S应助野性的笙采纳,获得10
26秒前
自由从筠发布了新的文献求助10
26秒前
大模型应助yi采纳,获得10
27秒前
hss发布了新的文献求助10
28秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi 400
Classics in Total Synthesis IV 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3149477
求助须知:如何正确求助?哪些是违规求助? 2800533
关于积分的说明 7840390
捐赠科研通 2458038
什么是DOI,文献DOI怎么找? 1308241
科研通“疑难数据库(出版商)”最低求助积分说明 628460
版权声明 601706