The Response of Vegetation Productivity to the El Niño-Southern Oscillation in Southeast Asia
文献类型：期刊论文
| 作者 | Qian, Zhaohui1,3,5; Chen, Shiliang2,5,6; Li, Xia1; Wang, Shaoqiang3,4,5,6; Liu, Zhenhai2,6; Chen, Xuan3,5; Darjee, Amrita2,6 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
 |
| 出版日期 | 2025-07-01 |
| 卷号 | 130期号:7页码:e2024JG008606 |
| 关键词 | ENSO gross primary production Southeast Asia SHAP value soil moisture climate change |
| ISSN号 | 2169-8953 |
| DOI | 10.1029/2024JG008606 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | The El Ni & ntilde;o-Southern Oscillation (ENSO) is a large-scale global climate pattern that significantly influences tropical vegetation productivity. However, the responses of vegetation productivity in Southeast Asia (SEA) to different ENSO phases remain unclear. In this study, we used multisource gross primary productivity (GPP) products and explainable machine learning method (SHAP) to assess the status of ENSO phases during 1981-2019 and their impact on vegetation productivity in SEA. Our results reveal that El Ni & ntilde;o and La Ni & ntilde;a have exhibited opposite trends over the past 40 years, with El Ni & ntilde;o events decreasing in both frequency and intensity, while La Ni & ntilde;a events have become more frequent since the 21st century. Precipitation and radiation showed distinct and opposing variation patterns across different ENSO phases, whereas temperature variations exhibited a regional pattern that differed from global trends. The average temperatures during both El Ni & ntilde;o and La Ni & ntilde;a were slightly lower than during the neutral phase. ENSO-induced climate anomalies affected vegetation productivity, resulting in a decrease in GPP of 72.3 +/- 48.1 gC m-2 yr-1 during El Ni & ntilde;o and an increase of 31.0 +/- 44.4 gC m-2 yr-1 during La Ni & ntilde;a. Based on SHAP analysis, we found that soil moisture was the primary driver of GPP during ENSO events, with a distinct threshold effect that dynamically shifted with water availability. Furthermore, terrestrial water storage (TWS) predominantly drove variations in atmospheric CO2 growth rate during the land-atmosphere carbon exchange process, with its influence intensifying over time. This study highlights the critical importance of water stress in regulating the carbon cycle of tropical vegetation in SEA. |
| URL标识 | 查看原文 |
| WOS关键词 | CO2 GROWTH-RATE ; SOIL-MOISTURE ; ATMOSPHERIC TELECONNECTIONS ; CLIMATE VARIABILITY ; CARBON UPTAKE ; WATER ; ENSO ; PRECIPITATION ; SENSITIVITY ; MODES |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001528537600001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215399]  |
| 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 | Chen, Shiliang |
| 作者单位 | 1.Minist Ecol & Environm, Foreign Environm Cooperat Ctr, Beijing, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; 3.China Univ Geosci, Sch Geog & Informat Engn, Hubei Key Lab Reg Ecol & Environm Change, Wuhan, Peoples R China; 4.China Univ Geosci, State Key Lab Biogeol & Environm Geol, Wuhan, Peoples R China 5.Minist Nat Resources, Technol Innovat Ctr Intelligent Monitoring & Spati, Wuhan, Peoples R China; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qian, Zhaohui,Chen, Shiliang,Li, Xia,et al. The Response of Vegetation Productivity to the El Niño-Southern Oscillation in Southeast Asia[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2025,130(7):e2024JG008606. |
| APA | Qian, Zhaohui.,Chen, Shiliang.,Li, Xia.,Wang, Shaoqiang.,Liu, Zhenhai.,...&Darjee, Amrita.(2025).The Response of Vegetation Productivity to the El Niño-Southern Oscillation in Southeast Asia.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,130(7),e2024JG008606. |
| MLA | Qian, Zhaohui,et al."The Response of Vegetation Productivity to the El Niño-Southern Oscillation in Southeast Asia".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 130.7(2025):e2024JG008606. |
入库方式： OAI收割
来源：地理科学与资源研究所
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