gchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.14335
Scopus ID: 2-s2.0-85053937334
Title:
Divergent response of seasonally dry tropical vegetation to climatic variations in dry and wet seasons
Author: Wang X.; Ciais P.; Wang Y.; Zhu D.
Source Publication: Global Change Biology
ISSN: 13541013
Indexed By: SCI ; SCI-E
Publishing Year: 2018
Volume: 24, Issue:10
pages begin: 4709
pages end: 4717
Language: 英语
Keyword: climate sensitivity ; dry season ; gross primary productivity ; NDVI ; tropical vegetation ; wet season
English Abstract: Interannual variations of photosynthesis in tropical seasonally dry vegetation are one of the dominant drivers to interannual variations of atmospheric CO2 growth rate. Yet, the seasonal differences in the response of photosynthesis to climate variations in these ecosystems remain poorly understood. Here using Normalized Difference Vegetation Index (NDVI), we explored the response of photosynthesis of seasonally dry tropical vegetation to climatic variations in the dry and the wet seasons during the past three decades. We found significant (p < 0.01) differences between dry and wet seasons in the interannual response of photosynthesis to temperature (γint) and to precipitation (δint). γint is ~1% °C−1 more negative and δint is ~8% 100 mm−1 more positive in the dry season than in the wet season. Further analyses show that the seasonal difference in γint can be explained by background moisture and temperature conditions. Positive γint occurred in wet season where mean temperature is lower than 27°C and precipitation is at least 60 mm larger than potential evapotranspiration. Two widely used Gross Primary Productivity (GPP) estimates (empirical modeling by machine-learning algorithm applied to flux tower measurements, and nine process-based carbon cycle models) were examined for the GPP–climate relationship over wet and dry seasons. The GPP derived from empirical modeling can partly reproduce the divergence of γint, while most process models cannot. The overestimate by process models on negative impacts by warmer temperature during the wet season highlights the shortcomings of current carbon cycle models in representing interactive impacts of temperature and moisture on photosynthesis. Improving representations on soil water uptake, leaf temperature, nitrogen cycling, and soil moisture may help improve modeling skills in reproducing seasonal differences of photosynthesis–climate relationship and thus the projection for impacts of climate change on tropical carbon cycle. © 2018 John Wiley & Sons Ltd
Citation statistics:
被引频次[WOS]:1   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.177/globalchange/handle/2HF3EXSE/110235
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

Files in This Item:

There are no files associated with this item.


Affiliation: Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Gif sur Yvette Cedex, France

Recommended Citation:
Wang X.,Ciais P.,Wang Y.,et al. Divergent response of seasonally dry tropical vegetation to climatic variations in dry and wet seasons[J]. Global Change Biology,2018-01-01,24(10)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wang X.]'s Articles
[Ciais P.]'s Articles
[Wang Y.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Wang X.]'s Articles
[Ciais P.]'s Articles
[Wang Y.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wang X.]‘s Articles
[Ciais P.]‘s Articles
[Wang Y.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.