Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018
Evaluating the potential productivity of the terrestrial ecosystem is extremely important to ascertain the threshold of vegetation productivity, to maximize the utilization of regional climate resources, carbon sequestration and to mitigate climate warming caused by rising CO<sub>2</sub>...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8948039/ |
| _version_ | 1828175947770101760 |
|---|---|
| author | Dan Cao Jiahua Zhang Hao Yan Lan Xun Shanshan Yang Yun Bai Sha Zhang Fengmei Yao Wenbin Zhou |
| author_facet | Dan Cao Jiahua Zhang Hao Yan Lan Xun Shanshan Yang Yun Bai Sha Zhang Fengmei Yao Wenbin Zhou |
| author_sort | Dan Cao |
| collection | DOAJ |
| description | Evaluating the potential productivity of the terrestrial ecosystem is extremely important to ascertain the threshold of vegetation productivity, to maximize the utilization of regional climate resources, carbon sequestration and to mitigate climate warming caused by rising CO<sub>2</sub> concentrations. However, most previous studies neglected the optimum state of natural vegetation without human intervention and regional change trend of vegetation under future climate change. In this study, variations in spatio-temporal distributions of climate potential productivity (CPP) over China from 1980 to 2018 are analyzed with the synthetic estimating model. A comprehensive regionalization method (Principal components analysis, PCA) based on standardized precipitation evapotranspiration index (SPEI), and statistical analysis methods are adopted to assess CPP and its response to the climate change in different regions of China. The results demonstrate that the global temperature rising and precipitation decreasing have obvious effects on the productivity of terrestrial ecosystem and its spatio-temporal distribution in different sub-regions and ecosystems. Among them, precipitation is the dominant factor, and temperature significantly affects some regions such as Tibetan Plateau (TP) and Northeast China (NE) with high-altitude or high-latitude. The optimum temperature for the CPP in Xinjiang (XJ) region and Northwest China (NW) is 7.5°C and 8°C, respectively. With regards to the ecosystems, the CPP of grassland shows complex trends in XJ, Southwest China (SW), NE, and TP; especially in XJ (NE), the CPP shows a decreasing (an increasing) trend when the temperature is more than 7.5°C (0°C). Linear correlations occur between farmland CPP and temperature in each sub-region except for XJ. The same situation also exists at forest CPP, especially in TP, NE and NC regions. However, under the temperature increasing and precipitation decreasing, there are slight adverse impacts on the CPP of vegetation at the national scale, indicating that drier and warmer climate are detrimental for vegetation growth. |
| first_indexed | 2024-04-12T04:35:42Z |
| format | Article |
| id | doaj.art-62b9d8bc3ea24fd1820036bee4a11e0f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T04:35:42Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-62b9d8bc3ea24fd1820036bee4a11e0f2022-12-22T03:47:49ZengIEEEIEEE Access2169-35362020-01-018111381115110.1109/ACCESS.2019.29634588948039Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018Dan Cao0https://orcid.org/0000-0002-3157-829XJiahua Zhang1https://orcid.org/0000-0002-2894-9627Hao Yan2https://orcid.org/0000-0002-5287-3298Lan Xun3https://orcid.org/0000-0001-6329-5537Shanshan Yang4https://orcid.org/0000-0002-7765-143XYun Bai5https://orcid.org/0000-0002-3477-7884Sha Zhang6https://orcid.org/0000-0002-9047-4247Fengmei Yao7https://orcid.org/0000-0002-5522-2108Wenbin Zhou8https://orcid.org/0000-0001-5911-1686Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Meteorological Center, China Meteorological Administration, Beijing, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaRemote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, ChinaRemote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, ChinaInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, ChinaEvaluating the potential productivity of the terrestrial ecosystem is extremely important to ascertain the threshold of vegetation productivity, to maximize the utilization of regional climate resources, carbon sequestration and to mitigate climate warming caused by rising CO<sub>2</sub> concentrations. However, most previous studies neglected the optimum state of natural vegetation without human intervention and regional change trend of vegetation under future climate change. In this study, variations in spatio-temporal distributions of climate potential productivity (CPP) over China from 1980 to 2018 are analyzed with the synthetic estimating model. A comprehensive regionalization method (Principal components analysis, PCA) based on standardized precipitation evapotranspiration index (SPEI), and statistical analysis methods are adopted to assess CPP and its response to the climate change in different regions of China. The results demonstrate that the global temperature rising and precipitation decreasing have obvious effects on the productivity of terrestrial ecosystem and its spatio-temporal distribution in different sub-regions and ecosystems. Among them, precipitation is the dominant factor, and temperature significantly affects some regions such as Tibetan Plateau (TP) and Northeast China (NE) with high-altitude or high-latitude. The optimum temperature for the CPP in Xinjiang (XJ) region and Northwest China (NW) is 7.5°C and 8°C, respectively. With regards to the ecosystems, the CPP of grassland shows complex trends in XJ, Southwest China (SW), NE, and TP; especially in XJ (NE), the CPP shows a decreasing (an increasing) trend when the temperature is more than 7.5°C (0°C). Linear correlations occur between farmland CPP and temperature in each sub-region except for XJ. The same situation also exists at forest CPP, especially in TP, NE and NC regions. However, under the temperature increasing and precipitation decreasing, there are slight adverse impacts on the CPP of vegetation at the national scale, indicating that drier and warmer climate are detrimental for vegetation growth.https://ieeexplore.ieee.org/document/8948039/Climate potential productivity (CPP)synthetic modelSPEIspatio-temporal variationclimate change |
| spellingShingle | Dan Cao Jiahua Zhang Hao Yan Lan Xun Shanshan Yang Yun Bai Sha Zhang Fengmei Yao Wenbin Zhou Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018 IEEE Access Climate potential productivity (CPP) synthetic model SPEI spatio-temporal variation climate change |
| title | Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018 |
| title_full | Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018 |
| title_fullStr | Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018 |
| title_full_unstemmed | Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018 |
| title_short | Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018 |
| title_sort | regional assessment of climate potential productivity of terrestrial ecosystems and its responses to climate change over china from 1980 2018 |
| topic | Climate potential productivity (CPP) synthetic model SPEI spatio-temporal variation climate change |
| url | https://ieeexplore.ieee.org/document/8948039/ |
| work_keys_str_mv | AT dancao regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT jiahuazhang regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT haoyan regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT lanxun regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT shanshanyang regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT yunbai regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT shazhang regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT fengmeiyao regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 AT wenbinzhou regionalassessmentofclimatepotentialproductivityofterrestrialecosystemsanditsresponsestoclimatechangeoverchinafrom19802018 |