A novel approach for ecosystem respiration simulation in drylands
Terrestrial ecosystem respiration (Reco) in drylands (arid and semi-arid areas) contributes to the largest uncertainty of the global carbon cycle. Here, using the Reco data from 24 sites (98 site-years) in drylands from Fluxnet and corresponding MODIS remote sensing products, we develop a novel semi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Ecology and Evolution |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fevo.2023.1186272/full |
| _version_ | 1827801179229257728 |
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| author | Jinlong Ai Xiaowen Qi Rensen Zhang Mingye He Jingyang Li Ronghan Xu Ronghan Xu Yapeng Li Sangeeta Sarmah Huan Wang Junfang Zhao |
| author_facet | Jinlong Ai Xiaowen Qi Rensen Zhang Mingye He Jingyang Li Ronghan Xu Ronghan Xu Yapeng Li Sangeeta Sarmah Huan Wang Junfang Zhao |
| author_sort | Jinlong Ai |
| collection | DOAJ |
| description | Terrestrial ecosystem respiration (Reco) in drylands (arid and semi-arid areas) contributes to the largest uncertainty of the global carbon cycle. Here, using the Reco data from 24 sites (98 site-years) in drylands from Fluxnet and corresponding MODIS remote sensing products, we develop a novel semi-empirical, yet physiologically-based remote sensing model: the ILEP_Reco model (a Reco model derived from ILEP, the acronym for “integrated LE and EVI proxy”). This model can simulate Reco observations across most biomes in drylands with a small margin of error (R2 = 0.56, RMSE = 1.12 gCm−2d−1, EF = 0.46, MBE = −0.06 gCm−2d−1) and performs significantly better than the previous model: Ensemble_all. The seasonal variation of Reco in drylands can be well simulated by the ILEP_Reco model. When we relate ILEP to the Q10 model, the corresponding ILEP_Q10 values in all 98 site-years distribute quite convergently, which greatly facilitates fixing the ILEP_Q10 value as a constant in different site-years. The spatial variation of Reco in drylands is then defined as reference respiration at the annual mean ILEP, which can be easily and powerfully simulated by the ILEP_Reco model. These results help us understand the spatial-temporal variations of Reco in drylands and thus will shed light on the carbon budget on a regional scale, or even a global one. |
| first_indexed | 2024-03-11T20:20:47Z |
| format | Article |
| id | doaj.art-c3ce2b94741b49d291cf93a312c1d700 |
| institution | Directory Open Access Journal |
| issn | 2296-701X |
| language | English |
| last_indexed | 2024-03-11T20:20:47Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Ecology and Evolution |
| spelling | doaj.art-c3ce2b94741b49d291cf93a312c1d7002023-10-03T04:34:37ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2023-10-011110.3389/fevo.2023.11862721186272A novel approach for ecosystem respiration simulation in drylandsJinlong Ai0Xiaowen Qi1Rensen Zhang2Mingye He3Jingyang Li4Ronghan Xu5Ronghan Xu6Yapeng Li7Sangeeta Sarmah8Huan Wang9Junfang Zhao10School of Modern Agriculture, Yiyang Vocational and Technical College, Yiyang, Hunan, ChinaSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, ChinaSchool of Modern Agriculture, Yiyang Vocational and Technical College, Yiyang, Hunan, ChinaSchool of Modern Agriculture, Yiyang Vocational and Technical College, Yiyang, Hunan, ChinaCollege of Science, George Mason University, Fairfax, VA, United StatesKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, ChinaInnovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, ChinaState Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, ChinaAssam State Disaster Management Authority (ASDMA), Dispur, Assam, IndiaSchool of Modern Agriculture, Yiyang Vocational and Technical College, Yiyang, Hunan, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaTerrestrial ecosystem respiration (Reco) in drylands (arid and semi-arid areas) contributes to the largest uncertainty of the global carbon cycle. Here, using the Reco data from 24 sites (98 site-years) in drylands from Fluxnet and corresponding MODIS remote sensing products, we develop a novel semi-empirical, yet physiologically-based remote sensing model: the ILEP_Reco model (a Reco model derived from ILEP, the acronym for “integrated LE and EVI proxy”). This model can simulate Reco observations across most biomes in drylands with a small margin of error (R2 = 0.56, RMSE = 1.12 gCm−2d−1, EF = 0.46, MBE = −0.06 gCm−2d−1) and performs significantly better than the previous model: Ensemble_all. The seasonal variation of Reco in drylands can be well simulated by the ILEP_Reco model. When we relate ILEP to the Q10 model, the corresponding ILEP_Q10 values in all 98 site-years distribute quite convergently, which greatly facilitates fixing the ILEP_Q10 value as a constant in different site-years. The spatial variation of Reco in drylands is then defined as reference respiration at the annual mean ILEP, which can be easily and powerfully simulated by the ILEP_Reco model. These results help us understand the spatial-temporal variations of Reco in drylands and thus will shed light on the carbon budget on a regional scale, or even a global one.https://www.frontiersin.org/articles/10.3389/fevo.2023.1186272/fullterrestrial ecosystem respirationremote sensingdrylandsFLUXNETsimulation |
| spellingShingle | Jinlong Ai Xiaowen Qi Rensen Zhang Mingye He Jingyang Li Ronghan Xu Ronghan Xu Yapeng Li Sangeeta Sarmah Huan Wang Junfang Zhao A novel approach for ecosystem respiration simulation in drylands Frontiers in Ecology and Evolution terrestrial ecosystem respiration remote sensing drylands FLUXNET simulation |
| title | A novel approach for ecosystem respiration simulation in drylands |
| title_full | A novel approach for ecosystem respiration simulation in drylands |
| title_fullStr | A novel approach for ecosystem respiration simulation in drylands |
| title_full_unstemmed | A novel approach for ecosystem respiration simulation in drylands |
| title_short | A novel approach for ecosystem respiration simulation in drylands |
| title_sort | novel approach for ecosystem respiration simulation in drylands |
| topic | terrestrial ecosystem respiration remote sensing drylands FLUXNET simulation |
| url | https://www.frontiersin.org/articles/10.3389/fevo.2023.1186272/full |
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