How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China?
Mountain ecosystems regulate global terrestrial carbon dynamics and are sensitive to changes of extreme climate. To discuss extreme climate’s impact on productivity of vegetation by using the elevation change as a binding force can provide a new reference for carbon sink management of ecosystem in a...
| Published in: | Ecological Indicators |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22002886 |
| _version_ | 1852654145622769664 |
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| author | Yunling He Wenbo Yan Ya Cai Fuying Deng Xinxing Qu Xilin Cui |
| author_facet | Yunling He Wenbo Yan Ya Cai Fuying Deng Xinxing Qu Xilin Cui |
| author_sort | Yunling He |
| collection | DOAJ |
| container_title | Ecological Indicators |
| description | Mountain ecosystems regulate global terrestrial carbon dynamics and are sensitive to changes of extreme climate. To discuss extreme climate’s impact on productivity of vegetation by using the elevation change as a binding force can provide a new reference for carbon sink management of ecosystem in alpine regions. The CASA model and Rclimdex1.0 were used to calculate NPP and 16 climate extremes indices, respectively, from 1982 to 2019 in Yunnan. The response characteristics of regional NPP to climate extremes were calculated using unary regression analysis, correlation analysis, geographic detector, and relative importance analysis. The results are as follows: (1) The turning point of NPP for various vegetation types appeared in the late 1980s in Yunnan. (2) The correlation between extreme precipitation index and NPP is more dependent on elevation than on extreme temperature indices. (3) Extreme climate indices are more sensitive in middle and high-elevation areas. As a result, NPP of alpine vegetation increased by more than 10% after the turning point compared with that before the turning point. (4) In the elevation range Ⅰ-IV (76–4000 m), the proportion of double-factor increase on NPP was more than 30%, while in the range of 4000–5000 m, the proportion of double-factor increase on NPP was <10%. (5) The primary controlling factors of NPP in the elevation Ⅰ﹣III (76–3000 m) were R25mm, R10mm, and R10mm, respectively. The primary controlling factors of NPP increasing in the elevation IV﹣Ⅵ (4000–6000 m) were SU25, TR20, and FD0, respectively. This study provides new insights into the impact of extreme climate on regional NPP from the perspective of elevation, emphasizing the management of ecological environment in high-elevation regions which are sensitive to climate response. |
| format | Article |
| id | doaj-art-5196a38ee7ca4c08a9ea285aa4d1dc8a |
| institution | Directory of Open Access Journals |
| issn | 1470-160X |
| language | English |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-5196a38ee7ca4c08a9ea285aa4d1dc8a2025-08-19T21:39:44ZengElsevierEcological Indicators1470-160X2022-05-0113810881710.1016/j.ecolind.2022.108817How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China?Yunling He0Wenbo Yan1Ya Cai2Fuying Deng3Xinxing Qu4Xilin Cui5School of Earth Science, Yunnan University, Kunming 650091, ChinaSchool of Earth Science, Yunnan University, Kunming 650091, China; Corresponding author at: School of Earth Science, Yunnan University, Kunming 650091, China.School of Earth Science, Yunnan University, Kunming 650091, China; Yunnan Vocational and Technical College of Agriculture, Kunming 650031, ChinaSchool of Earth Science, Yunnan University, Kunming 650091, ChinaSchool of Earth Science, Yunnan University, Kunming 650091, ChinaSchool of Earth Science, Yunnan University, Kunming 650091, ChinaMountain ecosystems regulate global terrestrial carbon dynamics and are sensitive to changes of extreme climate. To discuss extreme climate’s impact on productivity of vegetation by using the elevation change as a binding force can provide a new reference for carbon sink management of ecosystem in alpine regions. The CASA model and Rclimdex1.0 were used to calculate NPP and 16 climate extremes indices, respectively, from 1982 to 2019 in Yunnan. The response characteristics of regional NPP to climate extremes were calculated using unary regression analysis, correlation analysis, geographic detector, and relative importance analysis. The results are as follows: (1) The turning point of NPP for various vegetation types appeared in the late 1980s in Yunnan. (2) The correlation between extreme precipitation index and NPP is more dependent on elevation than on extreme temperature indices. (3) Extreme climate indices are more sensitive in middle and high-elevation areas. As a result, NPP of alpine vegetation increased by more than 10% after the turning point compared with that before the turning point. (4) In the elevation range Ⅰ-IV (76–4000 m), the proportion of double-factor increase on NPP was more than 30%, while in the range of 4000–5000 m, the proportion of double-factor increase on NPP was <10%. (5) The primary controlling factors of NPP in the elevation Ⅰ﹣III (76–3000 m) were R25mm, R10mm, and R10mm, respectively. The primary controlling factors of NPP increasing in the elevation IV﹣Ⅵ (4000–6000 m) were SU25, TR20, and FD0, respectively. This study provides new insights into the impact of extreme climate on regional NPP from the perspective of elevation, emphasizing the management of ecological environment in high-elevation regions which are sensitive to climate response.http://www.sciencedirect.com/science/article/pii/S1470160X22002886NPPExtreme climate indicesCASA modelRlimdex1.0Elevation gradient |
| spellingShingle | Yunling He Wenbo Yan Ya Cai Fuying Deng Xinxing Qu Xilin Cui How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China? NPP Extreme climate indices CASA model Rlimdex1.0 Elevation gradient |
| title | How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China? |
| title_full | How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China? |
| title_fullStr | How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China? |
| title_full_unstemmed | How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China? |
| title_short | How does the Net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of Yunnan, China? |
| title_sort | how does the net primary productivity respond to the extreme climate under elevation constraints in mountainous areas of yunnan china |
| topic | NPP Extreme climate indices CASA model Rlimdex1.0 Elevation gradient |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22002886 |
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