Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration
Abstract Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT‐Bio) model was developed with a high‐resol...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Series: | Limnology and Oceanography Letters |
| Online Access: | https://doi.org/10.1002/lol2.10308 |
| _version_ | 1797821891073802240 |
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| author | Jilian Xiong Jian Shen Qubin Qin Michelle C. Tomlinson Yinglong J. Zhang Xun Cai Fei Ye Linlin Cui Margaret R. Mulholland |
| author_facet | Jilian Xiong Jian Shen Qubin Qin Michelle C. Tomlinson Yinglong J. Zhang Xun Cai Fei Ye Linlin Cui Margaret R. Mulholland |
| author_sort | Jilian Xiong |
| collection | DOAJ |
| description | Abstract Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT‐Bio) model was developed with a high‐resolution numerical model and remote sensing. The LPT‐Bio model integrates the advantages of Lagrangian and Eulerian approaches by explicitly simulating algal bloom dynamics, algal biomass change, and diel vertical migrations along predicted trajectories. The model successfully captured the intensity and extent of the 2020 Margalefidinium polykrikoides bloom in the lower Chesapeake Bay and resolved fine‐scale structures of bloom patchiness, demonstrating a reliable prediction skill for 7–10 d. The fully coupled LPT‐Bio model initialized/calibrated by remote sensing and controlled by ambient environmental conditions appeared to be a powerful approach to predicting transport pathways, identifying bloom hotspots, resolving concentration variations at subgrid scales, and investigating responses of HABs to changing environmental conditions and human interference. |
| first_indexed | 2024-03-13T09:59:30Z |
| format | Article |
| id | doaj.art-2e23e76bed2b440582cd153bb0c8ff59 |
| institution | Directory Open Access Journal |
| issn | 2378-2242 |
| language | English |
| last_indexed | 2024-03-13T09:59:30Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Limnology and Oceanography Letters |
| spelling | doaj.art-2e23e76bed2b440582cd153bb0c8ff592023-05-23T06:01:27ZengWileyLimnology and Oceanography Letters2378-22422023-06-018349850810.1002/lol2.10308Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migrationJilian Xiong0Jian Shen1Qubin Qin2Michelle C. Tomlinson3Yinglong J. Zhang4Xun Cai5Fei Ye6Linlin Cui7Margaret R. Mulholland8Virginia Institute of Marine Science William & Mary Gloucester Point Virginia USAVirginia Institute of Marine Science William & Mary Gloucester Point Virginia USAVirginia Institute of Marine Science William & Mary Gloucester Point Virginia USANational Centers for Coastal Ocean Science National Oceanic and Atmospheric Administration Silver Spring Maryland USAVirginia Institute of Marine Science William & Mary Gloucester Point Virginia USAVirginia Institute of Marine Science William & Mary Gloucester Point Virginia USAVirginia Institute of Marine Science William & Mary Gloucester Point Virginia USAVirginia Institute of Marine Science William & Mary Gloucester Point Virginia USADepartment of Ocean and Earth Sciences Old Dominion University Norfolk Virginia USAAbstract Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT‐Bio) model was developed with a high‐resolution numerical model and remote sensing. The LPT‐Bio model integrates the advantages of Lagrangian and Eulerian approaches by explicitly simulating algal bloom dynamics, algal biomass change, and diel vertical migrations along predicted trajectories. The model successfully captured the intensity and extent of the 2020 Margalefidinium polykrikoides bloom in the lower Chesapeake Bay and resolved fine‐scale structures of bloom patchiness, demonstrating a reliable prediction skill for 7–10 d. The fully coupled LPT‐Bio model initialized/calibrated by remote sensing and controlled by ambient environmental conditions appeared to be a powerful approach to predicting transport pathways, identifying bloom hotspots, resolving concentration variations at subgrid scales, and investigating responses of HABs to changing environmental conditions and human interference.https://doi.org/10.1002/lol2.10308 |
| spellingShingle | Jilian Xiong Jian Shen Qubin Qin Michelle C. Tomlinson Yinglong J. Zhang Xun Cai Fei Ye Linlin Cui Margaret R. Mulholland Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration Limnology and Oceanography Letters |
| title | Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration |
| title_full | Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration |
| title_fullStr | Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration |
| title_full_unstemmed | Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration |
| title_short | Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration |
| title_sort | biophysical interactions control the progression of harmful algal blooms in chesapeake bay a novel lagrangian particle tracking model with mixotrophic growth and vertical migration |
| url | https://doi.org/10.1002/lol2.10308 |
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