Spatial and temporal evolution of carbon stocks in Dongting Lake wetlands based on remote sensing data

湿地 固碳 碳汇 环境科学 空间分布 气候变化 生态系统 碳储量 碳纤维 生态系统服务 温室气体 生态学 地理 二氧化碳 遥感 数学 复合数 算法 生物
作者
Xuexian An,Wenping Jin,Xiangren Long,Shudan Chen,Shuaiyang Qi,Meng Zhang
出处
期刊:Geocarto International [Taylor & Francis]
卷期号:37 (27): 14983-15009 被引量:20
标识
DOI:10.1080/10106049.2022.2093412
摘要

Wetlands are one of the important carbon reservoirs on earth, assessing the spatial and temporal dynamics of wetland carbon stocks and their driving mechanisms is critical for stabilizing and enhancing the carbon sink function of wetlands. In this study, the carbon stocks of Dongting Lake wetland during 1995–2020 were estimated using the Integrate Valuation of Ecosystem Services and Tradeoffs Tool (InVEST) model and land use/cover data derived from remote sensing data. Subsequently, the geographically weighted regression (GWR) model was utilized to explore the driving mechanisms of the spatial and temporal dynamics of carbon stocks based on natural and socio-economic factors. Finally, evolution of land use status and carbon stocks was simulated based on patch-generating land use simulation (PLUS) model during 2030–2050 under different scenarios. The results showed that: 1) over the past 25 years, carbon stocks have been fluctuating in a 'decrease–increase–decrease' pattern, with an average decrease of 39.70 × 106 t per year; 2) compared with socio-economic factors, climate conditions have a greater influence on the change of carbon stocks distribution; 3) under the natural variation scenario, the carbon stocks in 2030 is 1345.36 × 106 t, which is increased compared with the year of 2020. However, the carbon stocks in 2040–2050 started to show a decreasing trend. Under the ecological conservation scenario, the increase in forest area leads to a significant increase in carbon stocks from 2030 to 2050, which showed a continuous growth trend and obviously enhanced the carbon sequestration capacity of the Ecological and Economic Circle around Dongting Lake. The results of this study are expected to provide a scientific basis for carbon balance, land use restructuring and wetland resource management planning in the ecological and economic circle around Dongting Lake.HighlightsThe carbon stocks of Dongting Lake wetland during 1995–2020 were estimated using the InVEST model.Over the past 25 years, carbon stocks of Dongting Lake wetlands have been fluctuating in a 'decrease–increase–decrease' pattern.Climate conditions have a greater influence on the change of carbon stocks distribution compared with socio-economic factors.
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
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
刚刚
Ming完成签到,获得积分10
刚刚
liu完成签到 ,获得积分10
1秒前
谢谢发布了新的文献求助10
1秒前
Hero发布了新的文献求助10
1秒前
1秒前
清爽的巧蕊完成签到,获得积分10
3秒前
6秒前
7秒前
suz完成签到,获得积分10
7秒前
Grey发布了新的文献求助10
7秒前
An完成签到,获得积分10
7秒前
少侠饶命完成签到 ,获得积分10
7秒前
wang完成签到 ,获得积分10
8秒前
蹦蹦发布了新的文献求助10
8秒前
8秒前
北海章发布了新的文献求助10
9秒前
nnn完成签到,获得积分10
9秒前
独特思卉发布了新的文献求助10
10秒前
帝蒼完成签到,获得积分10
10秒前
科研通AI6.3应助克林采纳,获得10
11秒前
明明完成签到 ,获得积分10
12秒前
科研通AI6.1应助风祺采纳,获得10
12秒前
12秒前
风中的虔发布了新的文献求助10
13秒前
17秒前
肉鸡完成签到,获得积分10
18秒前
华仔应助lucygaga采纳,获得10
19秒前
True发布了新的文献求助10
20秒前
21秒前
22秒前
宏哥完成签到,获得积分10
23秒前
梦红发布了新的文献求助10
24秒前
北海章完成签到,获得积分10
24秒前
25秒前
26秒前
2222完成签到,获得积分10
27秒前
27秒前
Gyaz发布了新的文献求助10
27秒前
小于发布了新的文献求助10
28秒前
高分求助中
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Petrology and Plate Tectonics 500
A Handbook of User Experience Research & Design in Libraries 400
Understanding Modeling and Simulation of Polymerization Reactions 400
Direct and Iterative Linear System Solvers 400
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6905186
求助须知:如何正确求助?哪些是违规求助? 8598886
关于积分的说明 18253752
捐赠科研通 6308568
什么是DOI,文献DOI怎么找? 3063879
关于科研通互助平台的介绍 2086607
邀请新用户注册赠送积分活动 2041668