Phenology-based seasonal terrestrial vegetation growth response to climate variability with consideration of cumulative effect and biological carryover

被引:20
|
作者
Yuan, Ye [1 ,2 ,3 ]
Bao, Anming [1 ,4 ,5 ]
Jiapaer, Guli [1 ]
Jiang, Liangliang [6 ]
De Maeyer, Philippe [3 ,7 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium
[4] CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
[5] Sino Belgian Lab Geoinformat, Urumqi 83011, Peoples R China
[6] Chongqing Normal Univ, Sch Geog & Tourism, Chongqing 401331, Peoples R China
[7] Sino Belgian Lab Geoinformat, B-9000 Ghent, Belgium
关键词
Time-lag effect; Climate variability; Vegetation growth; Phenology; seasonality; Vegetation growth carryover; ECOLOGICAL MEMORY; SOIL-MOISTURE; TIME-SERIES; TEMPERATURE; NDVI; GRASSLAND; PLANT; LAG; ECOSYSTEMS; DROUGHT;
D O I
10.1016/j.scitotenv.2021.152805
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Vegetation growth is influenced not only by climate variability but also by its past states. However, the differences in the degree of the climate variability and past states affecting vegetation growth over seasons are still poorly understood, particularly given the cumulative climate effects. Relying on the Normalized Difference Vegetation Index (NDVI) data from 1982 to 2014, the vegetation growing season was decomposed into three periods (sub-seasons) green-up (GSgp), maturity (GSmp), and senescence (GSsp) following a phenology-based definition. A distributed lag model was then utilized to analyze the time-lag effect of vegetation growth response to climatic factors including precipitation, temperature, and solar radiation during each sub-season. On this basis, the relative importance of climatic factors and vegetation growth carryover (VGC) effect on vegetation growth was quantified at the phenologybased seasonal scale. Results showed that the longest peak lag of precipitation, temperature, and solar radiation occurred in the GSmp, GSsp, and GSgp, with 1.27 (1.13 SD), 0.89 (1.02 SD), and 0.80 (1.04 SD) months, respectively. The influence of climate variability was strongest in the GSgp, and diminished over the season, while the opposite for the VGC effect. The relative influence of each climatic factor also varied between sub-seasons. Vegetation in more than 58% of areas was more affected by temperature in the GSgp, and the proportion decreased to 34.00% and 31.78% in the GSmp and GSsp, respectively. Precipitation and solar radiation acted as the dominant climatic factors in only 28.80% and 20.88% of vegetation areas in the GSgp, but they increased to 35.21%, 32.61% in the GSmp, and 38.20%, 30.02% in the GSsp, respectively. The increased regions influenced by precipitation were mainly in dry areas especially for the boreal and cool temperate climate zones, while increased regions influenced by solar radiation were primarily located in moist areas of mid-high latitudes of the Northern Hemisphere. By introducing the cumulative climate effect, our findings highlight seasonal patterns of vegetation growth affected by climate variability and the VGC effect. The results provide a more comprehensive perspective on climate-vegetation interactions, which may help us to accurately forecast future vegetation growth under accelerating global warming.
引用
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页数:12
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