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Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data

文献类型：期刊论文

作者Yin, Hanmin1,2,4; Ma, Xiaofei3; Liao, Xiaohan1,2,7; Ye, Huping1,2,7; Yu, Wentao6; Li, Yue5; Wei, Junbo4; Yuan, Jincheng4; Liu, Qiang4
刊名REMOTE SENSING
出版日期2024-11-01
卷号16期号:21页码:4101
关键词vegetation phenology net ecosystem productivity climate change Northern Hemisphere
DOI10.3390/rs16214101
产权排序2
文献子类Article
英文摘要With global climate change, linking vegetation phenology with net ecosystem productivity (NEP) is crucial for assessing vegetation carbon storage capacity and predicting terrestrial ecosystem changes. However, there have been few studies investigating the relationship between vegetation phenology and NEP in the middle and high latitudes of the Northern Hemisphere. This study comprehensively analyzed vegetation phenological changes and their climate drivers using satellite data. It also investigated the spatial distribution and climate drivers of NEP and further analyzed the sensitivity of NEP to vegetation phenology. The results indicated that the average land surface phenology (LSP) was dominated by a monotonic trend in the study area. LSP derived from different satellite products and retrieval methods exhibited relatively consistent responses to climate. The average SOS and POS for different retrieval methods showed a higher negative correlation with nighttime temperatures compared to daytime temperatures. The average EOS exhibited a higher negative correlation with daytime temperatures than a positive correlation. The correlations between VPD and the average SOS, POS, and EOS showed that the proportion of negative correlations was higher than that of positive correlations. The average annual NEP ranged from 0 to 1000 gCm-2. The cumulative trends of NEP were mainly monotonically increasing, accounting for 61.04%, followed by monotonically decreasing trends, which accounted for 17.95%. In high-latitude regions, the proportion of positive correlation between VPD and NEP was predominant, while the proportion of negative correlation was predominant in middle-latitude regions. The positive and negative correlations between soil moisture and NEP (48.08% vs. 51.92%) were basically consistent in the study area. The correlation between SOS and POS with NEP was predominantly negative. The correlation between EOS and NEP was overall characterized by a greater proportion of negative correlations than positive correlations. The correlation between LOS and NEP exhibited a positive relationship in most areas. The sensitivity of NEP to vegetation phenological parameters (SOS, POS, and EOS) was negative, while the sensitivity of NEP to LOS was positive (0.75 gCm-2/d for EVI vs. 0.63 gCm-2/d for LAI vs. 0.30 gCm-2/d for SIF). This study provides new insights and a theoretical basis for exploring the relationship between vegetation phenology and NEP under global climate change.
WOS关键词LAND-SURFACE PHENOLOGY ; EMPIRICAL MODE DECOMPOSITION ; GROWING-SEASON ; FLUX MEASUREMENTS ; TIBETAN PLATEAU ; HIGH-LATITUDES ; DYNAMICS ; RECONSTRUCTION ; RESPONSES ; TRENDS
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001352097200001
源URL[http://ir.igsnrr.ac.cn/handle/311030/209520]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Liu, Qiang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
4.Pengcheng Lab, Shenzhen 518000, Peoples R China
5.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
6.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
7.Civil Aviat Adm China, Key Lab Low Altitude Geog Informat & Air Route, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yin, Hanmin,Ma, Xiaofei,Liao, Xiaohan,et al. Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data[J]. REMOTE SENSING,2024,16(21):4101.
APA Yin, Hanmin.,Ma, Xiaofei.,Liao, Xiaohan.,Ye, Huping.,Yu, Wentao.,...&Liu, Qiang.(2024).Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data.REMOTE SENSING,16(21),4101.
MLA Yin, Hanmin,et al."Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data".REMOTE SENSING 16.21(2024):4101.

入库方式： OAI收割

来源：地理科学与资源研究所

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