Vegetation-heatwave correlations and contrasting energy exchange responses of different vegetation types to summer heatwaves in the Northern Hemisphere during the 1982–2011 period

北方的 常绿 植被(病理学) 环境科学 每年落叶的 气候学 温带气候 植被类型 泰加语 大气科学 北半球 自然地理学 生态学 草原 地理 地质学 林业 生物 医学 病理 考古
作者
Jing Li,Chi‐Yung Tam,Amos P. K. Tai,Ngar‐Cheung Lau
出处
期刊:Agricultural and Forest Meteorology [Elsevier BV]
卷期号:296: 108208-108208 被引量:15
标识
DOI:10.1016/j.agrformet.2020.108208
摘要

Heatwave is a serious threat to society and can lead to grave consequences. Although it is well known that persistent large-scale circulation anomalies are the key to generate heatwaves, land-atmosphere interactions have also been suggested to intensify and propagate heatwaves. Vegetation plays a vital role in land-atmosphere interactions, modulating energy and water exchange through various pathways. However, vegetation impacts on surface energy exchange during extreme events such as heatwaves, and the attribution of effects to different vegetation types, is complex and poorly understood. In this study, we found strong interannual correlations between summer heatwaves and various plant function types (PFTs), based on the Global Heatwave and Warm-spell Record (GHWR) and leaf area index (LAI) products from satellites during 1982–2011. In Central Europe and the southern and southeastern part of North America, where the land cover is dominated by grasslands, temperate deciduous forests or temperate needleleaf forests, heatwaves tend to occur more frequently in years with lower LAI. In contrast, in the northwestern and northeastern part of North America, where boreal evergreen forests dominate, higher-than-normal LAI is associated with an increase in heatwave occurrence. These findings are in general supported by composite analyses of extreme LAI years in these PFT regions and heatwave characteristics therein. We speculate that the different surface heat flux responses over different PFTs during heatwaves may explain the above relationships. Focusing on North America, and using various datasets including those generated by the Global Land Data Assimilation System (GLDAS) with three different land surface models (CLM, MOS, NOAH), three reanalysis datasets (MERRA-2, NOAA-CIRES-DOS, NCEP/NCAR), and also observations from an extensive network of flux towers, we found that when temperate and boreal evergreen forests are greener, positive sensible heat anomalies increase significantly during heatwaves. Meanwhile, over boreal evergreen forests, changes in latent heat anomalies are much smaller than the positive sensible heat anomalies, suggesting that a greener boreal evergreen forest may prolong and amplify heatwaves significantly. This generates a positive feedback mechanism that begins with higher LAI in generally warmer years in these temperature-limited regions, thus sustaining the strong positive heatwave-LAI correlation. In contrast, for temperate needleleaf forests, temperate deciduous forests and grasslands, strong positive latent heat anomalies with cloud, precipitation and evaporative cooling feedback during high-LAI years appear to suppress heatwaves regionally. Our study revealed the interannual relationships between heatwaves and vegetation as well as the underlying energy exchange processes for different vegetation types and background climate conditions, with implications for the management of forest resources in view of worsening heatwave severity under the future climate.

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
1秒前
1秒前
一只可怜的科研狗完成签到 ,获得积分10
1秒前
张较瘦发布了新的文献求助10
1秒前
1秒前
yarkye完成签到,获得积分10
1秒前
accept发布了新的文献求助10
2秒前
黄豆发布了新的文献求助10
4秒前
zhangjian发布了新的文献求助10
4秒前
zw完成签到,获得积分10
6秒前
CodeCraft应助风清扬采纳,获得10
6秒前
深情安青应助研友_nPxrVn采纳,获得10
7秒前
yao完成签到,获得积分10
7秒前
7秒前
娟娟完成签到 ,获得积分10
9秒前
Hello应助pipi001采纳,获得10
10秒前
鹤辞云归发布了新的文献求助10
11秒前
zhangjian完成签到,获得积分20
11秒前
11秒前
12秒前
lagertha发布了新的文献求助20
13秒前
Hello应助小毛采纳,获得10
13秒前
脑洞疼应助nihaoaaaa采纳,获得10
14秒前
alvin发布了新的文献求助10
14秒前
15秒前
张世瑞发布了新的文献求助10
15秒前
xiaoT完成签到,获得积分10
16秒前
17秒前
寒冷的白竹完成签到,获得积分10
18秒前
培潮大王发布了新的文献求助10
19秒前
醉熏的文龙关注了科研通微信公众号
19秒前
研友_nPxrVn发布了新的文献求助10
20秒前
21秒前
23秒前
XLC发布了新的文献求助10
23秒前
23秒前
24秒前
小毛发布了新的文献求助10
25秒前
26秒前
飘逸凝丝发布了新的文献求助10
27秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6543490
求助须知:如何正确求助?哪些是违规求助? 8333229
关于积分的说明 17857495
捐赠科研通 5650934
什么是DOI,文献DOI怎么找? 2937010
邀请新用户注册赠送积分活动 1913285
关于科研通互助平台的介绍 1775374