Tree mortality predicted from drought-induced vascular damage

环境科学 气候变化 植被(病理学) 木质部 树(集合论) 森林生态学 生态系统 自然地理学 生态学 地理 生物 数学分析 数学 医学 病理 园艺
作者
William R. L. Anderegg,Alan L. Flint,Cho‐ying Huang,Lorraine E. Flint,Joseph A. Berry,Frank W. Davis,John S. Sperry,Christopher B. Field
出处
期刊:Nature Geoscience [Nature Portfolio]
卷期号:8 (5): 367-371 被引量:413
标识
DOI:10.1038/ngeo2400
摘要

Forests may be vulnerable to future droughts. A tree mortality threshold based on plant hydraulics suggests that increased drought may trigger widespread dieback in the southwestern United States by mid-century. The projected responses of forest ecosystems to warming and drying associated with twenty-first-century climate change vary widely from resiliency to widespread tree mortality1,2,3. Current vegetation models lack the ability to account for mortality of overstorey trees during extreme drought owing to uncertainties in mechanisms and thresholds causing mortality4,5. Here we assess the causes of tree mortality, using field measurements of branch hydraulic conductivity during ongoing mortality in Populus tremuloides in the southwestern United States and a detailed plant hydraulics model. We identify a lethal plant water stress threshold that corresponds with a loss of vascular transport capacity from air entry into the xylem. We then use this hydraulic-based threshold to simulate forest dieback during historical drought, and compare predictions against three independent mortality data sets. The hydraulic threshold predicted with 75% accuracy regional patterns of tree mortality as found in field plots and mortality maps derived from Landsat imagery. In a high-emissions scenario, climate models project that drought stress will exceed the observed mortality threshold in the southwestern United States by the 2050s. Our approach provides a powerful and tractable way of incorporating tree mortality into vegetation models to resolve uncertainty over the fate of forest ecosystems in a changing climate.
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
duanhahaha发布了新的文献求助10
4秒前
5秒前
7秒前
wanci应助11采纳,获得10
7秒前
许靓仔完成签到,获得积分10
8秒前
上官若男应助xx采纳,获得10
9秒前
10秒前
10秒前
11秒前
12秒前
14秒前
开心的饼干完成签到 ,获得积分10
15秒前
15秒前
Yi完成签到,获得积分10
15秒前
15秒前
18秒前
666发布了新的文献求助10
18秒前
xxcode完成签到,获得积分10
18秒前
搜集达人应助晚风采纳,获得10
18秒前
11发布了新的文献求助10
18秒前
jin发布了新的文献求助10
19秒前
yang发布了新的文献求助10
20秒前
20秒前
虚幻孤丹发布了新的文献求助10
21秒前
22秒前
程程发布了新的文献求助10
22秒前
五花肉发布了新的文献求助10
22秒前
文静曼香完成签到 ,获得积分10
23秒前
甜籽发布了新的文献求助10
24秒前
lijiawei发布了新的文献求助10
25秒前
科研通AI6.4应助平淡板凳采纳,获得10
26秒前
希望天下0贩的0应助小车采纳,获得10
26秒前
翊然甜周发布了新的文献求助10
27秒前
yiyang发布了新的文献求助10
28秒前
Lucas应助钦白AZURE采纳,获得10
28秒前
田様应助二光头采纳,获得10
28秒前
爆米花应助纪复天采纳,获得10
32秒前
顾矜应助康大帅采纳,获得10
35秒前
Copyright应助lijiawei采纳,获得10
35秒前
Liu发布了新的文献求助30
35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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7309750
求助须知:如何正确求助?哪些是违规求助? 8926768
关于积分的说明 18919613
捐赠科研通 6971838
什么是DOI,文献DOI怎么找? 3213014
关于科研通互助平台的介绍 2381440
邀请新用户注册赠送积分活动 2191071