Assessing the response of vegetation photosynthesis to meteorological drought across northern China
Assessing the response of vegetation photosynthesis to meteorological drought across northern China
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评估中国北方植被光合作用对气象干旱的响应
DOI：
10.1002/ldr.3701
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发表时间：
2020-03
影响因子：
4.7
通讯作者：
Yang Xue-mei
中科院分区：
文献类型：
--
作者：
Xu Hao-jie;Wang Xin-ping;Zhao Chuan-yan;Yang Xue-mei
基于卫星的太阳诱导叶绿素荧光（SIF）技术有潜力提供气象干旱对植被光合作用的早期检测和准确影响评估。然而，在不同的气候条件和生物群系类型下，卫星SIF对气象干旱的响应是如何变化的，目前尚不清楚。基于标准化降水蒸散指数（SPEI）和卫星SIF确定了中国北方植被光合作用响应最高的干旱时间尺度，并研究了不同生态系统的SIF信号对干旱的敏感性在干旱梯度上的变化。结果表明，年最大SIF的空间变异性受湿度条件和生物群系类型的制约。57.9%的植被地年最大SIF与SPEI呈显著正相关（p < 0.05）。34.8%的湿润生态系统具有显著的SIF-SPEI相关性（p < 0.05）。在干旱、半湿润和半干旱生态系统中，这一比例分别为44.4%、71.4%和86.2%。SIF-SPEI相关性的变化与干旱指数（AI）呈高斯函数关系，其中AI区SIF-SPEI相关性最高，为0.4（0.37 ~ 0.46）。这一格局的驱动因素是植被组成和水分可利用性。SIF时间尺度对SPEI的响应是AI的线性函数，但不同生物群系间斜率不同。总之，随着干旱程度的增加，干旱引起的植被光合作用下降将更快、更显著。
Satellite-based solar-induced chlorophyll fluorescence (SIF) has the potential to offer early detection and accurate impact assessment of meteorological drought on vegetation photosynthesis. However, how the response of satellite SIF to meteorological drought varies under different climatic conditions and biome types remains poorly understood. In this study, we determined the drought time-scale at which the vegetation photosynthesis response was highest based on the standardized precipitation evapotranspiration index (SPEI) and satellite SIF and examined how the sensitivity of SIF signals from different ecosystems to drought varied along an aridity gradient in northern China. The results showed that spatial variability of the annual maximum SIF was constrained by wetness conditions and biome types. Annual maximum SIF was positively correlated with SPEI in 57.9% of vegetated lands (p < .05). About 34.8% of humid ecosystems were characterized by a significant SIF-SPEI correlation (p < .05). This percentage reached 44, 71.4, and 86.2% for arid, subhumid, and semiarid ecosystems, respectively. The variation of SIF-SPEI correlations was a Gaussian function of the aridity index (AI), with the highest SIF-SPEI correlation appearing in the AI bin of 0.4 (0.37-0.46). The drivers for this pattern were vegetation composition and water availability. The variation of SIF time scales in response to SPEI was a linear function of the AI, but the slope varied among biomes. To summarize, with increasing aridity drought-induced declines in vegetation photosynthesis will be quicker and more significant.
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表征中国东部当前和未来的干旱变化
DOI：
10.1002/joc.4987
发表时间：
2017-01
期刊：
International Journal of Climatology
影响因子：
--
作者：
Chen H. P.;Sun J. Q.
通讯作者：
Sun J. Q.
影响因子：
5.2
作者：
W. Smith;J. Biederman;R. Scott;David J. P. Moore;M. He;J. Kimball;Dong Yan;A. Hudson;M. Barnes;N. MacBean;A. Fox;M. Litvak
通讯作者：
W. Smith;J. Biederman;R. Scott;David J. P. Moore;M. He;J. Kimball;Dong Yan;A. Hudson;M. Barnes;N. MacBean;A. Fox;M. Litvak
影响因子：
4
作者：
O. F. Olabode
通讯作者：
O. F. Olabode
影响因子：
13.5
作者：
Yao Zhang;Xiangming Xiao;C. Jin;Jinwei Dong;Sha Zhou;P. Wagle;J. Joiner;L. Guanter;Yongguang Zhang
通讯作者：
Yao Zhang;Xiangming Xiao;C. Jin;Jinwei Dong;Sha Zhou;P. Wagle;J. Joiner;L. Guanter;Yongguang Zhang
DOI：
10.1109/igarss.2016.7729436
发表时间：
2016-07
期刊：
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
影响因子：
--
作者：
C. Frankenberg;D. Drewry;S. Geier;M. Verma;P. Lawson;J. Stutz;K. Grossmann
通讯作者：
C. Frankenberg;D. Drewry;S. Geier;M. Verma;P. Lawson;J. Stutz;K. Grossmann