Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink

碳汇 环境科学 生物群落 水槽(地理) 北方的 泰加语 陆地生态系统 碳循环 固碳 热带 全球变化 土地覆盖 土地利用 生态学 气候学 气候变化 大气科学 生态系统 林业 二氧化碳 地理 地质学 生物 地图学
作者
Torbern Tagesson,Guy Schurgers,Stéphanie Horion,Philippe Ciais,Feng Tian,Martin Brandt,Anders Ahlström,Jean‐Pierre Wigneron,Jonas Ardö,Stefan Olin,Lei Fan,Zhendong Wu,Rasmus Fensholt
出处
期刊:Nature Ecology and Evolution [Springer Nature]
卷期号:4 (2): 202-209 被引量:143
标识
DOI:10.1038/s41559-019-1090-0
摘要

Anthropogenic land use and land cover changes (LULCC) have a large impact on the global terrestrial carbon sink, but this effect is not well characterized according to biogeographical region. Here, using state-of-the-art Earth observation data and a dynamic global vegetation model, we estimate the impact of LULCC on the contribution of biomes to the terrestrial carbon sink between 1992 and 2015. Tropical and boreal forests contributed equally, and with the largest share of the mean global terrestrial carbon sink. CO2 fertilization was found to be the main driver increasing the terrestrial carbon sink from 1992 to 2015, but the net effect of all drivers (CO2 fertilization and nitrogen deposition, LULCC and meteorological forcing) caused a reduction and an increase, respectively, in the terrestrial carbon sink for tropical and boreal forests. These diverging trends were not observed when applying a conventional LULCC dataset, but were also evident in satellite passive microwave estimates of aboveground biomass. These datasets thereby converge on the conclusion that LULCC have had a greater impact on tropical forests than previously estimated, causing an increase and decrease of the contributions of boreal and tropical forests, respectively, to the growing terrestrial carbon sink. Combining Earth observation data and dynamic global vegetation models, the authors show that anthropogenic land use and land cover change has caused a reduction in the contribution to the terrestrial carbon sink for tropical forests but an increase for boreal forests between 1992 and 2015.

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
konoraha发布了新的文献求助10
1秒前
香蕉觅云应助mookie采纳,获得10
1秒前
SciGPT应助mahuahua采纳,获得10
2秒前
2秒前
英俊的铭应助霍师傅采纳,获得10
3秒前
蜡笔小新发布了新的文献求助10
3秒前
Owen应助cy采纳,获得10
3秒前
4秒前
6秒前
6秒前
6秒前
6秒前
7秒前
严好香完成签到 ,获得积分10
7秒前
7秒前
8秒前
长度2到发布了新的文献求助10
9秒前
9秒前
hyman1218发布了新的文献求助50
9秒前
君子扑火完成签到,获得积分10
9秒前
淡定的勒完成签到,获得积分10
10秒前
10秒前
浅笑_随风发布了新的文献求助10
10秒前
yinzenglinnn发布了新的文献求助10
10秒前
10秒前
zhangguo发布了新的文献求助100
10秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
11秒前
李健应助完美平灵采纳,获得10
11秒前
11秒前
11秒前
打打应助konoraha采纳,获得10
11秒前
neufy发布了新的文献求助10
11秒前
nighwalk发布了新的文献求助10
12秒前
豌豆射手发布了新的文献求助10
12秒前
12秒前
13秒前
caocao发布了新的文献求助10
13秒前
孤独的远山完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5718202
求助须知:如何正确求助?哪些是违规求助? 5251289
关于积分的说明 15284999
捐赠科研通 4868486
什么是DOI,文献DOI怎么找? 2614197
邀请新用户注册赠送积分活动 1564030
关于科研通互助平台的介绍 1521515