Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution
China’s terrestrial ecosystems play an important role in the global carbon cycle. Regional contributions to the interannual variation (IAV) of China’s terrestrial carbon sink and the attributions to climate variations are not well understood. Here we have investigated how terrestrial ecosystems in t...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2019-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/aaec95 |
| _version_ | 1797748069685526528 |
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| author | Li Zhang Xiaoli Ren Junbang Wang Honglin He Shaoqiang Wang Miaomiao Wang Shilong Piao Hao Yan Weimin Ju Fengxue Gu Lei Zhou Zhongen Niu Rong Ge Yueyue Li Yan Lv Huimin Yan Mei Huang Guirui Yu |
| author_facet | Li Zhang Xiaoli Ren Junbang Wang Honglin He Shaoqiang Wang Miaomiao Wang Shilong Piao Hao Yan Weimin Ju Fengxue Gu Lei Zhou Zhongen Niu Rong Ge Yueyue Li Yan Lv Huimin Yan Mei Huang Guirui Yu |
| author_sort | Li Zhang |
| collection | DOAJ |
| description | China’s terrestrial ecosystems play an important role in the global carbon cycle. Regional contributions to the interannual variation (IAV) of China’s terrestrial carbon sink and the attributions to climate variations are not well understood. Here we have investigated how terrestrial ecosystems in the four climate zones with various climate variabilities contribute to the IAV in China’s terrestrial net ecosystem productivity (NEP) using modeled carbon fluxes data from six ecosystems models. Model results show that the monsoonal region of China dominates national NEP IAV with a contribution of 86% (69%–96%) on average. Yearly national NEP changes are mostly driven by gross primary productivity IAV and half of the annual variation results from NEP changes in summer. Regional contributions to NEP IAV in China are consistent with their contributions to the magnitude of national NEP. Rainfall variability dominates the NEP annual variability in China. Precipitation in the temperate monsoon climate zone makes the largest contribution (23%) to the IAV of NEP in China because of both the high sensitivity of terrestrial ecosystem carbon uptake to rainfall and the large fluctuation in the precipitation caused by the East Asian summer monsoon anomalies. Our results suggest that NEP IAV can be mainly attributed to ecosystems with larger productivity and response to precipitation, and highlight the importance of monsoon climate systems with high seasonal and interannual variability in driving internannual variation in the land carbon sink. |
| first_indexed | 2024-03-12T16:00:41Z |
| format | Article |
| id | doaj.art-819938ff83224131948b2b977594d7e9 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T16:00:41Z |
| publishDate | 2019-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-819938ff83224131948b2b977594d7e92023-08-09T14:39:27ZengIOP PublishingEnvironmental Research Letters1748-93262019-01-0114101400310.1088/1748-9326/aaec95Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attributionLi Zhang0https://orcid.org/0000-0002-0423-5494Xiaoli Ren1Junbang Wang2Honglin He3Shaoqiang Wang4Miaomiao Wang5Shilong Piao6https://orcid.org/0000-0001-8057-2292Hao Yan7Weimin Ju8Fengxue Gu9Lei Zhou10Zhongen Niu11Rong Ge12Yueyue Li13Yan Lv14Huimin Yan15Mei Huang16Guirui Yu17Synthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100190, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100190, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100190, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaSino-French Institute for Earth System Science, College of Urban and Environment Sciences, Peking University , Beijing 100871, People’s Republic of China; Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, CAS Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing, 100085, People’s Republic of ChinaNational Meteorological Center, China Meteorological Administration, Beijing 100081, People’s Republic of ChinaInternational Institute for Earth System Science and Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University , Nanjing 210023, People’s Republic of ChinaKey Laboratory of Dryland Agriculture, MOA, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100190, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of ChinaSynthesis Research Center of China’s Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100190, People’s Republic of ChinaChina’s terrestrial ecosystems play an important role in the global carbon cycle. Regional contributions to the interannual variation (IAV) of China’s terrestrial carbon sink and the attributions to climate variations are not well understood. Here we have investigated how terrestrial ecosystems in the four climate zones with various climate variabilities contribute to the IAV in China’s terrestrial net ecosystem productivity (NEP) using modeled carbon fluxes data from six ecosystems models. Model results show that the monsoonal region of China dominates national NEP IAV with a contribution of 86% (69%–96%) on average. Yearly national NEP changes are mostly driven by gross primary productivity IAV and half of the annual variation results from NEP changes in summer. Regional contributions to NEP IAV in China are consistent with their contributions to the magnitude of national NEP. Rainfall variability dominates the NEP annual variability in China. Precipitation in the temperate monsoon climate zone makes the largest contribution (23%) to the IAV of NEP in China because of both the high sensitivity of terrestrial ecosystem carbon uptake to rainfall and the large fluctuation in the precipitation caused by the East Asian summer monsoon anomalies. Our results suggest that NEP IAV can be mainly attributed to ecosystems with larger productivity and response to precipitation, and highlight the importance of monsoon climate systems with high seasonal and interannual variability in driving internannual variation in the land carbon sink.https://doi.org/10.1088/1748-9326/aaec95climate changeinterannual variabilitynet ecosystem productivitybiogeochemical modelingecosystem carbon dynamics |
| spellingShingle | Li Zhang Xiaoli Ren Junbang Wang Honglin He Shaoqiang Wang Miaomiao Wang Shilong Piao Hao Yan Weimin Ju Fengxue Gu Lei Zhou Zhongen Niu Rong Ge Yueyue Li Yan Lv Huimin Yan Mei Huang Guirui Yu Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution Environmental Research Letters climate change interannual variability net ecosystem productivity biogeochemical modeling ecosystem carbon dynamics |
| title | Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution |
| title_full | Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution |
| title_fullStr | Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution |
| title_full_unstemmed | Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution |
| title_short | Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution |
| title_sort | interannual variability of terrestrial net ecosystem productivity over china regional contributions and climate attribution |
| topic | climate change interannual variability net ecosystem productivity biogeochemical modeling ecosystem carbon dynamics |
| url | https://doi.org/10.1088/1748-9326/aaec95 |
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