Higher temperature variability reduces temperature sensitivity of vegetation growth in Northern Hemisphere

环境科学 植被(病理学) 北半球 归一化差异植被指数 生长季节 气候学 大气科学 灌木 生态系统 气候变化 空气温度 生态学 地质学 医学 生物 病理
作者
Xiuchen Wu,Hongyan Liu,Xiaoyan Li,Shilong Piao,Philippe Ciais,Weichao Guo,Yi Yin,Benjamin Poulter,Changhui Peng,Nicolas Viovy,Nicolas Vuichard,Pei Wang,Yongmei Huang
出处
期刊:Geophysical Research Letters [Wiley]
卷期号:44 (12): 6173-6181 被引量:29
标识
DOI:10.1002/2017gl073285
摘要

Abstract Interannual air temperature variability has changed over some regions in Northern Hemisphere (NH), accompanying with climate warming. However, whether and to what extent it regulates the interannual sensitivity of vegetation growth to temperature variability (i.e., interannual temperature sensitivity)—one central issue in understanding and predicting the responses of vegetation growth to changing climate—still remains poorly quantified and understood. Here we quantify the relationships between the interannual temperature sensitivity of mean growing‐season (April–October) normalized difference vegetation index (NDVI) and ecosystem model simulations of gross primary productivity (GPP), and variability in mean growing‐season temperature for forest, shrub, and grass over NH. We find that higher interannual variability in mean growing‐season temperature leads to consistent decrease in interannual temperature sensitivity of mean growing‐season NDVI among all vegetation types but not in model simulations of GPP. Drier condition associates with ~130 ± 150% further decrease in interannual temperature sensitivity of mean growing‐season NDVI by temperature variability in forest and shrub. These results illustrate that varying temperature variability can significantly regulate the interannual temperature sensitivity of vegetation growth over NH, interacted with drought variability and nonlinear responses of photosynthesis to temperature. Our findings call for an improved characterization of the nonlinear effects of temperature variability on vegetation growth within global ecosystem models.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
动心忍性关注了科研通微信公众号
1秒前
ajiduo发布了新的文献求助10
3秒前
翻翻发布了新的文献求助10
5秒前
坚定的羽毛完成签到,获得积分10
6秒前
7秒前
8秒前
慕青应助DocRivers采纳,获得10
8秒前
方格格格发布了新的文献求助30
10秒前
叶楠完成签到,获得积分10
11秒前
sahjdkah发布了新的文献求助20
13秒前
丘比特应助可可杨采纳,获得10
16秒前
快哒哒哒完成签到 ,获得积分10
17秒前
烟花应助Sunech采纳,获得10
18秒前
领导范儿应助美满电灯胆采纳,获得10
19秒前
淘淘发布了新的文献求助10
19秒前
23秒前
Ava应助结实星星采纳,获得10
24秒前
星辰大海应助寂寞的安筠采纳,获得10
25秒前
脑洞疼应助sahjdkah采纳,获得10
26秒前
26秒前
27秒前
博大精森完成签到,获得积分10
27秒前
29秒前
可可杨发布了新的文献求助10
30秒前
31秒前
大模型应助瀚海的雄狮采纳,获得10
33秒前
sahjdkah完成签到,获得积分10
33秒前
33秒前
yujing发布了新的文献求助30
34秒前
35秒前
22完成签到,获得积分10
35秒前
36秒前
sahjdkah发布了新的文献求助10
37秒前
酷酷梦曼发布了新的文献求助10
38秒前
22发布了新的文献求助10
38秒前
KD发布了新的文献求助10
39秒前
39秒前
yujing完成签到 ,获得积分20
43秒前
44秒前
小马甲应助细心的思远采纳,获得10
44秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 1600
Exploring Mitochondrial Autophagy Dysregulation in Osteosarcoma: Its Implications for Prognosis and Targeted Therapy 1500
LNG地下式貯槽指針(JGA指-107) 1000
LNG地上式貯槽指針 (JGA指 ; 108) 1000
QMS18Ed2 | process management. 2nd ed 600
LNG as a marine fuel—Safety and Operational Guidelines - Bunkering 560
Clinical Interviewing, 7th ed 400
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2940137
求助须知:如何正确求助?哪些是违规求助? 2597822
关于积分的说明 6996141
捐赠科研通 2240088
什么是DOI,文献DOI怎么找? 1189412
版权声明 590152
科研通“疑难数据库(出版商)”最低求助积分说明 582311