globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.14335
Scopus记录号: 2-s2.0-85053937334
论文题名:
Divergent response of seasonally dry tropical vegetation to climatic variations in dry and wet seasons
作者: Wang X.; Ciais P.; Wang Y.; Zhu D.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期:10
起始页码: 4709
结束页码: 4717
语种: 英语
英文关键词: climate sensitivity ; dry season ; gross primary productivity ; NDVI ; tropical vegetation ; wet season
英文摘要: 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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110235
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: 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)
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