Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis
Typhoons are undergoing changes in frequency, intensity, and landward movement due to climate change, placing coastal vegetation ecosystems at heightened risk. These ecosystems provide critical ecological, social, and economic functions, making accurate assessment of typhoon impacts essential for ef...
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| Format: | Article |
| Language: | English |
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American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Journal of Remote Sensing |
| Online Access: | https://spj.science.org/doi/10.34133/remotesensing.0430 |
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| author | Yaoyao Zheng Simin Zhan Zaichun Zhu Sen Cao Jiana Chen Pengjun Zhao Weimin Wang Ranga B. Myneni |
| author_facet | Yaoyao Zheng Simin Zhan Zaichun Zhu Sen Cao Jiana Chen Pengjun Zhao Weimin Wang Ranga B. Myneni |
| author_sort | Yaoyao Zheng |
| collection | DOAJ |
| description | Typhoons are undergoing changes in frequency, intensity, and landward movement due to climate change, placing coastal vegetation ecosystems at heightened risk. These ecosystems provide critical ecological, social, and economic functions, making accurate assessment of typhoon impacts essential for effective management and disaster risk reduction. Traditional methods for assessing typhoon impacts on large-scale vegetation often compare pre- and post-typhoon satellite images. These do not account for natural variations in plant life cycles or interannual variations in environmental conditions, potentially leading to inaccurate assessments of typhoon-induced vegetation damage and recovery. This study proposes a novel framework for quantifying typhoons’ immediate and long-term impacts on vegetation canopy structure and photosynthesis. We developed random forest models based on satellite-observed leaf area index (LAI) and environmental data during typhoon-free periods to simulate LAI under non-typhoon conditions. The simulated LAI time series was then compared with the satellite-observed typhoon-affected LAI to assess the typhoon-induced canopy loss and recovery, which was then used to estimate the typhoon-caused photosynthesis loss and recovery with 2 widely used light-use efficiency models. The framework was applied to 3 super typhoons that traversed the Greater Bay Area. Typhoons Nida, Hato, and Mangkhut caused canopy losses in 76.58%, 61.25%, and 89.67% of vegetated regions, respectively, leading to direct cumulative gross primary production losses of 0.36, 0.22, and 0.50 Tg C. The proposed framework establishes a pivotal foundation for future modeling and assessment of direct vegetation damage attributed to typhoons, providing scientific support for vegetation management and disaster risk reduction in coastal areas. |
| format | Article |
| id | doaj-art-5ff3d3b961c84bc5b663f5fe1373a6df |
| institution | Kabale University |
| issn | 2694-1589 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Journal of Remote Sensing |
| spelling | doaj-art-5ff3d3b961c84bc5b663f5fe1373a6df2025-02-06T09:16:49ZengAmerican Association for the Advancement of Science (AAAS)Journal of Remote Sensing2694-15892025-01-01510.34133/remotesensing.0430Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and PhotosynthesisYaoyao Zheng0Simin Zhan1Zaichun Zhu2Sen Cao3Jiana Chen4Pengjun Zhao5Weimin Wang6Ranga B. Myneni7School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.Guangdong Maoming Agriculture & Forestry Technical College, Maoming 525024, China.School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.Shenzhen Ecological and Environmental Monitoring Center of Guangdong Province, Shenzhen 518049, China.Department of Earth and Environment, Boston University, Boston, MA 02215, USA.Typhoons are undergoing changes in frequency, intensity, and landward movement due to climate change, placing coastal vegetation ecosystems at heightened risk. These ecosystems provide critical ecological, social, and economic functions, making accurate assessment of typhoon impacts essential for effective management and disaster risk reduction. Traditional methods for assessing typhoon impacts on large-scale vegetation often compare pre- and post-typhoon satellite images. These do not account for natural variations in plant life cycles or interannual variations in environmental conditions, potentially leading to inaccurate assessments of typhoon-induced vegetation damage and recovery. This study proposes a novel framework for quantifying typhoons’ immediate and long-term impacts on vegetation canopy structure and photosynthesis. We developed random forest models based on satellite-observed leaf area index (LAI) and environmental data during typhoon-free periods to simulate LAI under non-typhoon conditions. The simulated LAI time series was then compared with the satellite-observed typhoon-affected LAI to assess the typhoon-induced canopy loss and recovery, which was then used to estimate the typhoon-caused photosynthesis loss and recovery with 2 widely used light-use efficiency models. The framework was applied to 3 super typhoons that traversed the Greater Bay Area. Typhoons Nida, Hato, and Mangkhut caused canopy losses in 76.58%, 61.25%, and 89.67% of vegetated regions, respectively, leading to direct cumulative gross primary production losses of 0.36, 0.22, and 0.50 Tg C. The proposed framework establishes a pivotal foundation for future modeling and assessment of direct vegetation damage attributed to typhoons, providing scientific support for vegetation management and disaster risk reduction in coastal areas.https://spj.science.org/doi/10.34133/remotesensing.0430 |
| spellingShingle | Yaoyao Zheng Simin Zhan Zaichun Zhu Sen Cao Jiana Chen Pengjun Zhao Weimin Wang Ranga B. Myneni Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis Journal of Remote Sensing |
| title | Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis |
| title_full | Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis |
| title_fullStr | Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis |
| title_full_unstemmed | Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis |
| title_short | Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis |
| title_sort | assessing the direct impact of typhoons on vegetation canopy structure and photosynthesis |
| url | https://spj.science.org/doi/10.34133/remotesensing.0430 |
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