Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model
Net ecosystem productivity (NEP) is a key indicator to describe terrestrial ecosystem functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature and maximum light use efficiency (<inline-formula><tex-math notation="LaTeX">${\varepsi...
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| Format: | Article |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10003988/ |
| _version_ | 1797902300124020736 |
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| author | Siyi Qiu Liang Liang Qianjie Wang Di Geng Junjun Wu Shuguo Wang Bingqian Chen |
| author_facet | Siyi Qiu Liang Liang Qianjie Wang Di Geng Junjun Wu Shuguo Wang Bingqian Chen |
| author_sort | Siyi Qiu |
| collection | DOAJ |
| description | Net ecosystem productivity (NEP) is a key indicator to describe terrestrial ecosystem functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature and maximum light use efficiency (<inline-formula><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula>), and the NEP value of the European terrestrial ecosystem was calculated by combining the soil respiration model. The results showed that when using vegetation classification data to optimize parameter <inline-formula><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula>, the <italic>R</italic><sup>2</sup> of NEP between estimates and observations increased from 0.252 to 0.403, and the RMSE decreased from 84.557 to 64.466 gC·m<sup>−2</sup>·month<sup>−1</sup>. After further optimizing the optimum temperature, <italic>R</italic><sup>2</sup> increased to 0.428, and the RMSE decreased to 63.720 gC·m<sup>−2</sup>·month<sup>−1</sup>. It indicated that the CASA model could be improved by optimizing <inline-formula><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula> as well as optimum temperature, which was a good approach to improve the NEP estimations. Based on this, the NEP spatiotemporal changes in various regions of Europe were analyzed using the optimization results. The NEP values of European terrestrial ecosystem has regional differences, showing a pattern of western region > southern region > central region > eastern region > northern region. The monthly change of NEP in each region is a single peak curve with high in summer and low in winter, and the annual overall value is positive (i.e., it shows a carbon sink). The research can enable us to obtain the carbon source/sink distribution information in Europe more accurately and provide a scientific reference for carbon balance policy formulation in the region. |
| first_indexed | 2024-04-10T09:15:29Z |
| format | Article |
| id | doaj.art-839fd3ed884f4a34b87222e246e0c2ca |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-10T09:15:29Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-839fd3ed884f4a34b87222e246e0c2ca2023-02-21T00:00:29ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01161244125510.1109/JSTARS.2022.323312810003988Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA ModelSiyi Qiu0Liang Liang1https://orcid.org/0000-0003-0331-3312Qianjie Wang2Di Geng3Junjun Wu4Shuguo Wang5https://orcid.org/0000-0002-2619-4339Bingqian Chen6School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, ChinaSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, ChinaSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, ChinaSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, ChinaSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, ChinaNet ecosystem productivity (NEP) is a key indicator to describe terrestrial ecosystem functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature and maximum light use efficiency (<inline-formula><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula>), and the NEP value of the European terrestrial ecosystem was calculated by combining the soil respiration model. The results showed that when using vegetation classification data to optimize parameter <inline-formula><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula>, the <italic>R</italic><sup>2</sup> of NEP between estimates and observations increased from 0.252 to 0.403, and the RMSE decreased from 84.557 to 64.466 gC·m<sup>−2</sup>·month<sup>−1</sup>. After further optimizing the optimum temperature, <italic>R</italic><sup>2</sup> increased to 0.428, and the RMSE decreased to 63.720 gC·m<sup>−2</sup>·month<sup>−1</sup>. It indicated that the CASA model could be improved by optimizing <inline-formula><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula> as well as optimum temperature, which was a good approach to improve the NEP estimations. Based on this, the NEP spatiotemporal changes in various regions of Europe were analyzed using the optimization results. The NEP values of European terrestrial ecosystem has regional differences, showing a pattern of western region > southern region > central region > eastern region > northern region. The monthly change of NEP in each region is a single peak curve with high in summer and low in winter, and the annual overall value is positive (i.e., it shows a carbon sink). The research can enable us to obtain the carbon source/sink distribution information in Europe more accurately and provide a scientific reference for carbon balance policy formulation in the region.https://ieeexplore.ieee.org/document/10003988/CASA modellight use efficiency (LUE)net ecosystem productivity (NEP)optimum temperaturesoil respiration model |
| spellingShingle | Siyi Qiu Liang Liang Qianjie Wang Di Geng Junjun Wu Shuguo Wang Bingqian Chen Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing CASA model light use efficiency (LUE) net ecosystem productivity (NEP) optimum temperature soil respiration model |
| title | Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model |
| title_full | Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model |
| title_fullStr | Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model |
| title_full_unstemmed | Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model |
| title_short | Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model |
| title_sort | estimation of european terrestrial ecosystem nep based on an improved casa model |
| topic | CASA model light use efficiency (LUE) net ecosystem productivity (NEP) optimum temperature soil respiration model |
| url | https://ieeexplore.ieee.org/document/10003988/ |
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