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Zhang Z, Liu H, He X, Zhang Y, Wang Y, Wang Y, Liang F, Li Q, Wu G. Satellite retrieval of oceanic particulate organic carbon: Towards an accurate and seamless dataset for the global ocean. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 955:176910. [PMID: 39414057 DOI: 10.1016/j.scitotenv.2024.176910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 09/30/2024] [Accepted: 10/11/2024] [Indexed: 10/18/2024]
Abstract
Particulate organic carbon (POC) plays crucial roles in the global ocean carbon cycle and the oceanic biological pump. Satellite remote sensing has been demonstrated to be an effective technique for the retrieval of surface oceanic POC concentration. However, the complex spatiotemporal variations of the relationships between POC and oceanic optical properties across different waters posed challenges for accurate retrieval of POC concentration from satellite observations. Additionally, interference factors, such as cloud cover and sun glint, resulted in severe data missing problems and impeding daily coverage of the global ocean. With an attempt to generate accurate, seamless and readily available POC products for the global ocean, this study aimed to develop accurate satellite POC retrieval models for the Moderate Resolution Imaging Spectroradiometer (MODIS) data from both Terra and Aqua satellites, and to explore the possibility of using the empirical orthogonal function interpolation technique (DINEOF) to reconstruct satellite-retrieved POC data to generate gap-free global oceanic POC products. Results showed that the eXtreme Gradient Boosting (XGBoost) method could accurately retrieve POC with R2 approximately 0.80 and RMSE about 0.20 in log10 scale, obviously outperforming the operational blue-to-green band ratio algorithm and the hybrid polynomial algorithm based on two multi-band indices; and the DINEOF method, which could reconstruct approximately 88 % missing pixels for the global ocean, contributed to better revealing the global oceanic POC variations at a daily scale than the satellite-retrieved POC products. Based on the developed models, a suit of long time-series accurate and seamless POC products of the global surface ocean were generated, which is readily available for other applications and should be helpful to investigate the spatiotemporal variations of POC concentrations over global ocean and its roles in the global carbon cycle. The generated seamless products are openly accessible via the DOIs listed in the data availability section.
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Affiliation(s)
- Zhengxin Zhang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; Institute for Advanced Study & Space Science Center, Tiandu-Shenzhen University Deep Space Exploration Joint Laboratory & Space Science Center, Shenzhen University, Shenzhen 518060, China; School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
| | - Huizeng Liu
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; Institute for Advanced Study & Space Science Center, Tiandu-Shenzhen University Deep Space Exploration Joint Laboratory & Space Science Center, Shenzhen University, Shenzhen 518060, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.
| | - Xianqiang He
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Yu Zhang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; Institute for Advanced Study & Space Science Center, Tiandu-Shenzhen University Deep Space Exploration Joint Laboratory & Space Science Center, Shenzhen University, Shenzhen 518060, China
| | - Yanru Wang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; Shenzhen Marine Development & Promotion Center, Shenzhen 518067, China
| | - Yongquan Wang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; Institute for Advanced Study & Space Science Center, Tiandu-Shenzhen University Deep Space Exploration Joint Laboratory & Space Science Center, Shenzhen University, Shenzhen 518060, China; School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
| | - Feifei Liang
- Shenzhen Marine Development & Promotion Center, Shenzhen 518067, China
| | - Qingquan Li
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; Institute for Advanced Study & Space Science Center, Tiandu-Shenzhen University Deep Space Exploration Joint Laboratory & Space Science Center, Shenzhen University, Shenzhen 518060, China; School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
| | - Guofeng Wu
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
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Wang X, Li J, Zheng J, Zhao L, Ruan C, Zhang D, Pan X. Polysaccharide preferred minority-dominant community assembly and exoenzyme enrichment in transparent exopolymer particles: Implication for global carbon cycle in water. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169976. [PMID: 38199380 DOI: 10.1016/j.scitotenv.2024.169976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/12/2024]
Abstract
The ubiquitous transparent exopolymer particles (TEPs) are an important organic carbon pool and an ideal microhabitat for bacteria in aquatic environments. They play a crucial role in the global carbon cycle. Organic matter transformation and carbon turnover in TEPs strongly depend on the assembly of their associated bacterial communities and enzyme activity. However, the mechanisms of bacterial community assembly and their potential effects on the organic carbon cycle in TEPs are still unclear. In this study, we comparatively explored the community assembly of TEP-associated bacteria and bacterioplankton from surface freshwater using metagenomics. It was found that the bacterial community assembly in TEPs followed a minority-dominant rule and was governed by homogeneous selection. Pseudomonadota and Actinomycetota, which are responsible for polysaccharide degradation, serve as taxon-specific biomarkers among the abundant and diverse bacteria in TEPs. The network of TEP-associated bacteria displayed stronger robustness than that of bacterioplankton. Bin 76 (majorly Acinetobacter) was the overwhelmingly dominant taxa in TEPs, whereas there was no clearly dominant taxa in TEP-free water. Exoenzyme analysis showed that 64 out of 71 identified polysaccharide hydrolases were markedly linked with the dominant bin 76 in TEPs, while no such linkage was observed for bacterioplankton. Generally, Acinetobacter, which is capable of utilizing polysaccharides, is preferred to be assembled in TEPs together with high polysaccharide hydrolase activity. This may significantly accelerate the turnover of organic carbon in the giant global TEP pool. These findings are important for a deep understanding of the carbon cycle in water.
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Affiliation(s)
- Xiaonan Wang
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China; Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Hangzhou 310015, China; School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China; Shaoxing Research Institute of Zhejiang University of Technology, Shaoxing 312000, China
| | - Jiahao Li
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China
| | - Jieyan Zheng
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China
| | - Lanxin Zhao
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China
| | - Chenghao Ruan
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China
| | - Daoyong Zhang
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China
| | - Xiangliang Pan
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China.
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Guo K, Chen J, Yuan J, Wang X, Xu S, Hou S, Wang Y. Effects of Temperature on Transparent Exopolymer Particle Production and Organic Carbon Allocation of Four Marine Phytoplankton Species. BIOLOGY 2022; 11:biology11071056. [PMID: 36101434 PMCID: PMC9312018 DOI: 10.3390/biology11071056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022]
Abstract
Transparent exopolymer particles (TEP) are sticky polymeric substances that are commonly found in the periphery of microbial cells or colonies. They can naturally flocculate smaller suspended particles into larger aggregates and thus play a crucial role in the biological pump and the global carbon cycle. Phytoplankton are the major contributors to marine TEP production, whereas the way TEP production interacts with abiotic factors at the species level is generally unknown but critical for estimating carbon fluxes. In this study, the effects of temperature on TEP production and carbon allocation were studied in two representative diatom species (Nitzschia closterium and Chaetoceros affinis) and two model dinoflagellate species (Prorocentrum micans and Scrippisella trichoidea). The results showed that temperature had a significant impact on TEP production in all species. First, increased temperature promoted the TEP production of all four species. Second, elevated temperature affected the carbon pool allocation, with enhanced dissolved organic carbon (DOC) exudation in the form of TEP in all species. The TEP-C/DOC percentages of N. closterium and P. micans were 93.42 ± 5.88% and 82.03 ± 21.36% at the highest temperature (24 °C), respectively, which was approximately two to five times higher than those percentages at 16 °C. In contrast, TEP’s contribution to the POC pool is lower than that to the DOC pool, ranging from 6.74 ± 0.79% to 28.31 ± 1.79% for all species. Moreover, phytoplankton TEP production may be related to cellular size and physiology. The TEP content produced by the smallest N. closterium (218.96 ± 15.04 fg Xeq./μm3) was ~5 times higher compared to P. micans, S. trichoidea, or C. affinis. In conclusion, TEP production is temperature sensitive and species specific, which should be taken into consideration the regarding TEP-mediated oceanic carbon cycle, particularly in the context of global warming.
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Affiliation(s)
- Kangli Guo
- Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536007, China;
- College of Life Science and Technology, Jinan University, Guangzhou 510632, China; (X.W.); (S.X.)
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China;
| | - Jie Chen
- Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536007, China;
- Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536007, China
- Correspondence: (J.C.); (Y.W.)
| | - Jian Yuan
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA 50011, USA;
| | - Xiaodong Wang
- College of Life Science and Technology, Jinan University, Guangzhou 510632, China; (X.W.); (S.X.)
| | - Shuaishuai Xu
- College of Life Science and Technology, Jinan University, Guangzhou 510632, China; (X.W.); (S.X.)
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China;
| | - Shengwei Hou
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China;
- State Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361005, China
| | - Yan Wang
- College of Life Science and Technology, Jinan University, Guangzhou 510632, China; (X.W.); (S.X.)
- Correspondence: (J.C.); (Y.W.)
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Guo S, Wu Y, Zhu M, Sun X. Concentrations of transparent exopolymer particles (TEPs) and their role in the carbon export in the South China Sea and western tropical North Pacific. MARINE ENVIRONMENTAL RESEARCH 2022; 179:105699. [PMID: 35839746 DOI: 10.1016/j.marenvres.2022.105699] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/29/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
The role of TEPs in the carbon cycle remains inadequately understood in oligotrophic tropical oceans. This study investigates TEP concentrations, distributions, sinking behavior and fluxes in the oligotrophic South China Sea (SCS) and western tropical North Pacific (WTNP). The results suggested that TEPs levels were relatively low [< 60 μg Xeq. L-1 (μg xanthan gum equivalent per liter)] in both regions, and they were higher in the epipelagic layer than in deeper layers. TEP concentrations correlated significantly positively with Chl a and picophytoplankton biomass, and TEP-associated carbon contributed significantly to particulate organic carbon (POC) pool in the SCS and WTNP. The sinking flux of TEPs constituted a mean of 61% of the total POC flux in the SCS and 46% in the WTNP, highlighting their important role in carbon export in these areas. Generally, this study should provide good insight into the role TEPs play in the carbon cycle in oligotrophic tropical oceans.
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Affiliation(s)
- Shujin Guo
- Jiaozhou Bay National Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China
| | - Ying Wu
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 201100, PR China
| | - Mingliang Zhu
- Jiaozhou Bay National Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China
| | - Xiaoxia Sun
- Jiaozhou Bay National Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
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