Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity
Phenology has a significant effect on forest growth and directly affects the forest ecosystem carbon cycle. Bamboo forests possess strong carbon sequestration capacities. However, it is not clear whether variations in phenology increase or decrease carbon uptake and storage in subtropical bamboo for...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-04-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243420309107 |
| _version_ | 1811230727546601472 |
|---|---|
| author | Xuejian Li Huaqiang Du Guomo Zhou Fangjie Mao Junlong Zheng Hua Liu Zihao Huang Shaobai He |
| author_facet | Xuejian Li Huaqiang Du Guomo Zhou Fangjie Mao Junlong Zheng Hua Liu Zihao Huang Shaobai He |
| author_sort | Xuejian Li |
| collection | DOAJ |
| description | Phenology has a significant effect on forest growth and directly affects the forest ecosystem carbon cycle. Bamboo forests possess strong carbon sequestration capacities. However, it is not clear whether variations in phenology increase or decrease carbon uptake and storage in subtropical bamboo forests. We first extracted the length of the growing season (LOS) by coupling a data assimilation algorithm and MODIS leaf area index (LAI) data, and then the LOS was used to drive the integrated terrestrial ecosystem carbon-budget (InTEC) model to simulate gross primary productivity (GPP) and net ecosystem productivity (NEP) in Zhejiang Province from 2001 to 2017. Our results showed that the LOS estimation using the assimilated LAI time series was more reliable than that of the MODIS LAI and enhanced vegetation index (EVI). The annual average LOS increased on average by 0.76 day yr−1 from 2001 to 2017. The GPP and NEP simulations based on the LAI assimilation-based phenology indicated that bamboo forest ecosystems possess strong carbon sequestration capacities and act as carbon sinks, with mean annual GPP and NEP values of 434.74 ± 257.93 g C m−2 yr−1 and 141.42 ± 82.54 g C m−2 yr−1, respectively, during 2001–2017. An increase of one day in the regional annual LOS increases the annual average GPP and NEP by 1.34 g C m−2 yr−1 and 0.75 g C m−2 yr−1, respectively. Moreover, the interannual variation of NEP was significantly correlated with precipitation and temperature, whereas GPP was not. Our results demonstrated that phenology extraction based on LAI data assimilation should play an important role in the simulation of bamboo forest productivity with ecological process models. The variation in phenology induced by climate change can strengthen the bamboo forest carbon sink, which is of great significance for subtropical forests coping with climate change in the future. |
| first_indexed | 2024-04-12T10:32:54Z |
| format | Article |
| id | doaj.art-9dd38742defc479689c65184bb0b93ec |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-12T10:32:54Z |
| publishDate | 2021-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-9dd38742defc479689c65184bb0b93ec2022-12-22T03:36:48ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-04-0196102267Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivityXuejian Li0Huaqiang Du1Guomo Zhou2Fangjie Mao3Junlong Zheng4Hua Liu5Zihao Huang6Shaobai He7State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaCorresponding author at: State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China.; State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaPhenology has a significant effect on forest growth and directly affects the forest ecosystem carbon cycle. Bamboo forests possess strong carbon sequestration capacities. However, it is not clear whether variations in phenology increase or decrease carbon uptake and storage in subtropical bamboo forests. We first extracted the length of the growing season (LOS) by coupling a data assimilation algorithm and MODIS leaf area index (LAI) data, and then the LOS was used to drive the integrated terrestrial ecosystem carbon-budget (InTEC) model to simulate gross primary productivity (GPP) and net ecosystem productivity (NEP) in Zhejiang Province from 2001 to 2017. Our results showed that the LOS estimation using the assimilated LAI time series was more reliable than that of the MODIS LAI and enhanced vegetation index (EVI). The annual average LOS increased on average by 0.76 day yr−1 from 2001 to 2017. The GPP and NEP simulations based on the LAI assimilation-based phenology indicated that bamboo forest ecosystems possess strong carbon sequestration capacities and act as carbon sinks, with mean annual GPP and NEP values of 434.74 ± 257.93 g C m−2 yr−1 and 141.42 ± 82.54 g C m−2 yr−1, respectively, during 2001–2017. An increase of one day in the regional annual LOS increases the annual average GPP and NEP by 1.34 g C m−2 yr−1 and 0.75 g C m−2 yr−1, respectively. Moreover, the interannual variation of NEP was significantly correlated with precipitation and temperature, whereas GPP was not. Our results demonstrated that phenology extraction based on LAI data assimilation should play an important role in the simulation of bamboo forest productivity with ecological process models. The variation in phenology induced by climate change can strengthen the bamboo forest carbon sink, which is of great significance for subtropical forests coping with climate change in the future.http://www.sciencedirect.com/science/article/pii/S0303243420309107Bamboo forestPhenologyInTECLAI data assimilationProductivityClimate change |
| spellingShingle | Xuejian Li Huaqiang Du Guomo Zhou Fangjie Mao Junlong Zheng Hua Liu Zihao Huang Shaobai He Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity International Journal of Applied Earth Observations and Geoinformation Bamboo forest Phenology InTEC LAI data assimilation Productivity Climate change |
| title | Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity |
| title_full | Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity |
| title_fullStr | Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity |
| title_full_unstemmed | Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity |
| title_short | Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity |
| title_sort | spatiotemporal dynamics in assimilated lai phenology and its impact on subtropical bamboo forest productivity |
| topic | Bamboo forest Phenology InTEC LAI data assimilation Productivity Climate change |
| url | http://www.sciencedirect.com/science/article/pii/S0303243420309107 |
| work_keys_str_mv | AT xuejianli spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT huaqiangdu spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT guomozhou spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT fangjiemao spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT junlongzheng spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT hualiu spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT zihaohuang spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity AT shaobaihe spatiotemporaldynamicsinassimilatedlaiphenologyanditsimpactonsubtropicalbambooforestproductivity |