中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal Patterns and Climate Attributions of Seasonal Stability of Vegetation Growth in Northern China

文献类型:期刊论文

作者Liang, Juanzhu1; Fan, Liping1; Zhou, Yuke2; Li, Wenfang1
刊名REMOTE SENSING
出版日期2026-03-04
卷号18期号:5页码:773
关键词solar-induced chlorophyll fluorescence seasonal stability structural equation modeling climate-driven mechanisms vegetation structure overshoot northern China vegetation
DOI10.3390/rs18050773
产权排序2
文献子类Article
英文摘要Highlights What are the main findings? Vegetation growth in northern China is predominantly characterized by strong seasonal stability, where early-season greening is commonly followed by late-season suppression rather than sustained enhancement. Climate drivers of seasonal stability differ across regions, with water availability dominating in dry areas and late-season temperature exerting stronger control in energy-limited regions. What are the implications of the main findings? The widespread pattern of early greening but late browning suggests that earlier phenological advancement does not necessarily lead to prolonged or enhanced seasonal productivity. Distinct climate controls on seasonal stability imply that ecosystem management and risk assessment should differentiate between water-limited and energy-limited regions under climate variability.Highlights What are the main findings? Vegetation growth in northern China is predominantly characterized by strong seasonal stability, where early-season greening is commonly followed by late-season suppression rather than sustained enhancement. Climate drivers of seasonal stability differ across regions, with water availability dominating in dry areas and late-season temperature exerting stronger control in energy-limited regions. What are the implications of the main findings? The widespread pattern of early greening but late browning suggests that earlier phenological advancement does not necessarily lead to prolonged or enhanced seasonal productivity. Distinct climate controls on seasonal stability imply that ecosystem management and risk assessment should differentiate between water-limited and energy-limited regions under climate variability.Abstract The earlier onset of vegetation phenology and longer growing seasons resulting from global warming are widely recognized as beneficial for enhancing the carbon sink function of terrestrial ecosystems. However, significant uncertainty remains regarding whether the increased growth during the early growing season can be sustained and converted into growth benefits during the later season or even throughout the entire year. This study focuses on vegetation in northern China. Based on solar-induced chlorophyll fluorescence (SIF) data from 2001 to 2020, it establishes an analytical framework for assessing the seasonal stability of vegetation growth. The framework quantifies the evolutionary characteristics of early growth enhancement signals during the late growing season. Furthermore, structural equation modeling (SEM) is employed to elucidate the underlying climate-driven mechanisms. The results indicate: (1) Vegetation growth season stability in northern China has long been dominated by the Strong stabilizing type (accounting for 87.4%), suggesting that early growth enhancement signals are mostly attenuated or suppressed during seasonal progression rather than continuously amplified. (2) This stable pattern exhibits a distinct spatial structure at the interannual scale. The expansive and Weak stabilizing types undergo event-driven expansions during specific climatic years, with different vegetation functional types adopting differentiated regulatory strategies during this process. Shallow-rooted grasslands demonstrate higher growth elasticity, while forest vegetation exhibits stronger ecological inertia. (3) Mechanistic analysis reveals that in water-limited zones, enhanced early growth accelerates transpiration processes, thereby disrupting seasonal soil moisture continuity and exacerbating water deficits during the late growing season. This inhibits late-season photosynthesis, constituting a core hydrological-physiological regulatory mechanism that maintains the dominance of Strong stabilizing in the region. Conversely, in energy-limited zones, late-season temperature emerges as the dominant factor constraining sustained growth. This study examines the transmission and modulation mechanisms of early growth signals to the later growing season from the perspective of intra-seasonal dynamics, providing a new analytical approach for incorporating interseasonal processes into assessments of vegetation growth and carbon sink stability in northern China.
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WOS关键词GROSS PRIMARY PRODUCTIVITY ; TEMPORAL-CHANGES ; HIGH-LATITUDES ; PHENOLOGY ; IMPACTS
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001713943500001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/221315]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Zhou, Yuke
作者单位1.Fuzhou Univ, Acad Digital China Fujian, Fuzhou 350002, Peoples R China;
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Liang, Juanzhu,Fan, Liping,Zhou, Yuke,et al. Spatiotemporal Patterns and Climate Attributions of Seasonal Stability of Vegetation Growth in Northern China[J]. REMOTE SENSING,2026,18(5):773.
APA Liang, Juanzhu,Fan, Liping,Zhou, Yuke,&Li, Wenfang.(2026).Spatiotemporal Patterns and Climate Attributions of Seasonal Stability of Vegetation Growth in Northern China.REMOTE SENSING,18(5),773.
MLA Liang, Juanzhu,et al."Spatiotemporal Patterns and Climate Attributions of Seasonal Stability of Vegetation Growth in Northern China".REMOTE SENSING 18.5(2026):773.

入库方式: OAI收割

来源:地理科学与资源研究所

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