Diagnosing the impacts of climate extremes on the interannual variations of carbon fluxes of a subtropical evergreen mixed forest

环境科学 大气科学 气候学 降水 气候变化 常绿 亚热带 生态系统 涡度相关法
作者
Xueyan Li,Ying-Ping Wang,Xingjie Lu,Junhua Yan
出处
期刊:Agricultural and Forest Meteorology [Elsevier]
卷期号:307: 108507-
标识
DOI:10.1016/j.agrformet.2021.108507
摘要

Abstract Climate extremes are expected to have severe impacts on carbon cycle balance and ecosystem services, because of the highly nonlinear dependence of many carbon processes on climate variability. These impacts, such as the European heatwave in 2003, have been well documented for some temperate forests. However, few studies have been conducted on subtropical forests, which play a significant role in the global carbon cycle. Here, we analyzed continuous carbon flux measurements of a subtropical forest in South China from 2003 to 2016, during which the forest experienced extreme cold and hot spells and a prolonged drought. We found that the forest was a strong carbon sink, taking up about 400 to 740 g C m−2 yr−1 in most years, and that the forest became a much weaker sink or even a carbon source during two extreme periods. This large interannual variation of net carbon uptake by this forest resulted from the different responses of gross primary production (GPP) and terrestrial ecosystem respiration (TER) to climate extremes. The observed reduction in GPP during extreme years was well simulated by lowering maximum leaf carboxylation rate (vcmax) in a process-based model. Parameter optimization suggests that the reduced vcmax in the model recovered quickly after hot and cold spells but remained low after the prolonged drought. During the prolonged drought, the observed tree mortality and litter fall significantly increased, which increased TER in the following year. This lagged response in TER significantly contributed to the weakened carbon sinks of the forest during the two extremes. Our study highlights the importance of community dynamics and lagged response of the terrestrial carbon cycle to climate extremes.

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
科研干冲冲冲完成签到,获得积分20
1秒前
今后应助精神的精神病采纳,获得10
1秒前
小南完成签到,获得积分10
1秒前
小五发布了新的文献求助20
2秒前
gyh完成签到,获得积分10
2秒前
无极微光应助125676采纳,获得20
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
JamesPei应助科研通管家采纳,获得10
3秒前
无花果应助科研通管家采纳,获得10
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
时荒发布了新的文献求助10
3秒前
传奇3应助科研通管家采纳,获得10
3秒前
无极微光应助科研通管家采纳,获得20
3秒前
Jasper应助科研通管家采纳,获得10
3秒前
慕青应助科研通管家采纳,获得10
3秒前
大个应助科研通管家采纳,获得10
3秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
英姑应助科研通管家采纳,获得10
4秒前
英俊的铭应助科研通管家采纳,获得30
4秒前
JamesPei应助科研通管家采纳,获得10
4秒前
小乔应助科研通管家采纳,获得10
4秒前
小乔应助科研通管家采纳,获得10
4秒前
在水一方应助科研通管家采纳,获得10
4秒前
浮游应助科研通管家采纳,获得10
4秒前
spc68应助科研通管家采纳,获得10
4秒前
Mine_cherry应助科研通管家采纳,获得80
4秒前
天天快乐应助科研通管家采纳,获得10
4秒前
852应助yan采纳,获得10
4秒前
搜集达人应助科研通管家采纳,获得30
4秒前
4秒前
spc68应助科研通管家采纳,获得10
4秒前
4秒前
5秒前
如梦中完成签到,获得积分10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
今后应助科研通管家采纳,获得10
5秒前
小乔应助科研通管家采纳,获得10
5秒前
领导范儿应助科研通管家采纳,获得10
5秒前
大模型应助科研通管家采纳,获得10
5秒前
lilili应助科研通管家采纳,获得10
5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
Binary Alloy Phase Diagrams, 2nd Edition 8000
A Practical Introduction to Regression Discontinuity Designs 2000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
二氧化碳加氢催化剂——结构设计与反应机制研究 660
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 5659634
求助须知:如何正确求助?哪些是违规求助? 4829587
关于积分的说明 15087769
捐赠科研通 4818327
什么是DOI,文献DOI怎么找? 2578595
邀请新用户注册赠送积分活动 1533172
关于科研通互助平台的介绍 1491902