Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping
文献类型：期刊论文
| 作者 | Wu, Jiapei3,4; Zhou, Yuke4; Wang, Han3,4; Wang, Xiaoying2; Wang, Jiaojiao1
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| 刊名 | IEEE ACCESS
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| 出版日期 | 2023 |
| 卷号 | 11页码:115367-115379 |
| ISSN号 | 2169-3536 |
| 关键词 | Vegetation mapping Climate change Atmospheric measurements Dynamic programming Temperature sensors Meteorological factors Forestry Terrestrial atmosphere Remote sensing Nonlinear systems Vegetation dynamic climate change causal links convergent cross mapping empirical dynamic model |
| DOI | 10.1109/ACCESS.2023.3325485 |
| 通讯作者 | Zhou, Yuke(zhouyk@igsnrr.ac.cn) |
| 英文摘要 | The patterns of interaction between terrestrial vegetation and the atmosphere are complex, and some are poorly understood. Linear or general linear methods have been widely used to explore the dynamics of vegetation and climate changes. However, linear thinking may hinder our understanding of complex nonlinear systems, and it is difficult to extract the underlying causality of linear correlations directly from observational data. In this study, we aimed to quantify the interactions between vegetation and climate, using nonlinear dynamical methods based on state-space reconstruction and datasets from Chinese meteorological stations and remote sensing data during 1982-2015 in Northeast China (NEC). Specifically, we identified the causal links between meteorological factors (temperature and precipitation) and the vegetation index (NDVI) by reconstructing the state space from historical records. During the study period, vegetation exhibited a strong bidirectional causal relationship with both temperature and precipitation across Northeast China. The NDVI can be accurately reconstructed from the state information of meteorological factors (temperature and precipitation). The results of the multivariate EDM scenarios reveal varying sensitivities of different vegetation types to meteorological factors. Overall, slight temperature changes have a stronger impact on vegetation compared to precipitation. Mixed forest and broad-leaved forest demonstrate lower sensitivity to precipitation changes compared to other vegetation types. This study on the causal relationship between vegetation and meteorological factors in Northeast China contributes to a deeper understanding of climate change and vegetation feedback in middle and high latitudes. Our work demonstrates that the EDM-based convergent cross-mapping nonlinear causal analysis method is valuable for comprehending the interactions within complex systems in earth science. |
| WOS关键词 | ATMOSPHERE ; TEMPERATURE ; VARIABILITY ; PHENOLOGY ; PERIODS ; PATTERN ; TRENDS ; GROWTH ; EARTH |
| 资助项目 | National Key Research and Development Program[2021xjkk0303] ; Key Laboratory of Agro-Meteorological Disaster of Liaoning Province ; Institute of Atmospheric Environment, China Meteorological Administration, Shenyang[2023SYIAEKFZD05] ; National Natural Science Foundation of China[72074209] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001090671300001 |
| 资助机构 | National Key Research and Development Program ; Key Laboratory of Agro-Meteorological Disaster of Liaoning Province ; Institute of Atmospheric Environment, China Meteorological Administration, Shenyang ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/54367]  |
| 专题 | 舆论大数据科学与技术应用联合实验室 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 通讯作者 | Zhou, Yuke |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Inst Atmospher Environm, CMA, Shenyang 110166, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geog & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Jiapei,Zhou, Yuke,Wang, Han,et al. Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping[J]. IEEE ACCESS,2023,11:115367-115379. |
| APA | Wu, Jiapei,Zhou, Yuke,Wang, Han,Wang, Xiaoying,&Wang, Jiaojiao.(2023).Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping.IEEE ACCESS,11,115367-115379. |
| MLA | Wu, Jiapei,et al."Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping".IEEE ACCESS 11(2023):115367-115379. |
入库方式： OAI收割
来源：自动化研究所
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