Importance of the memory effect for assessing interannual variation in net ecosystem exchange
文献类型：期刊论文
| 作者 | Liu, Weihua3,4; He, Honglin2,4; Wu, Xiaojing4; Ren, Xiaoli4; Zhang, Li4; Shi, Liang4; Feng, Lili4; Wang, Yangang5; Lv, Yan3,4 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2023-10-15 |
| 卷号 | 341页码:109691 |
| ISSN号 | 0168-1923 |
| 关键词 | Memory effect Net ecosystem exchange Interannual variation Terrestrial ecosystems |
| DOI | 10.1016/j.agrformet.2023.109691 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Terrestrial carbon flux shows greater interannual variation (IAV) than the ocean and drives most temporal changes in the atmospheric CO2 growth rate. Accurate estimation of the interannual variation in the terrestrial carbon budget is crucial for predicting changes in the carbon balance of ecosystems and atmospheric CO2 concentrations in the context of climate change. However, the interannual variation simulation of the terrestrial carbon budget has considerable uncertainty. One of the important reasons is the neglect of the memory effect of the ecosystem on climate change, namely the potential lagged impact of climate change. In the present work, we integrated meteorological and remote sensing vegetation data and introduced the memory effect into a deep learning model to simulate the global terrestrial net ecosystem exchange (NEE). The conclusions were as follows: (a) Considering the memory effect not only improved the simulation accuracy of the global terrestrial NEE, R2 increased by 0.37-0.55, RMSE decreased by 38.97%-52.42%, and MAE decreased by 39.77%-52.38%, but also improved the simulation accuracy of the interannual variation of NEE, R2 increased by 0.50-0.84, RMSE decreased by 37.13%-72.07%, and MAE decreased by 40.72%-66.49%. (b) The memory effect of NEE varied by ecosystem type, environmental factors, and plant development phase. The response of NEE to precipitation in most ecosystems was slower than that to temperature and radiation. The length of the comprehensive memory effect of NEE on antecedent environmental variables in the non-growth season was longer than that in the growth season. (c) NEE in the tropics has shown greater interannual variation than that in the high latitudes and dominated interannual variation in global terrestrial NEE. The tropical savanna exceeded tropical forest and contributed the largest fraction of the interannual variation of NEE in the tropics. |
| 学科主题 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| WOS关键词 | LAND-USE ; CARBON FLUXES ; SEMIARID ECOSYSTEMS ; TROPICAL CARBON ; VEGETATION ; VARIABILITY ; DROUGHT ; PLANT ; PATTERNS ; LEGACIES |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001070951000001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197860]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100083, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Weihua,He, Honglin,Wu, Xiaojing,et al. Importance of the memory effect for assessing interannual variation in net ecosystem exchange[J]. AGRICULTURAL AND FOREST METEOROLOGY,2023,341:109691. |
| APA | Liu, Weihua.,He, Honglin.,Wu, Xiaojing.,Ren, Xiaoli.,Zhang, Li.,...&Lv, Yan.(2023).Importance of the memory effect for assessing interannual variation in net ecosystem exchange.AGRICULTURAL AND FOREST METEOROLOGY,341,109691. |
| MLA | Liu, Weihua,et al."Importance of the memory effect for assessing interannual variation in net ecosystem exchange".AGRICULTURAL AND FOREST METEOROLOGY 341(2023):109691. |
入库方式： OAI收割
来源：地理科学与资源研究所
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