Jiang, XP; Gao, ZQ
; Zhang, QC; Wang, YQ; Tian, XP; Shang, WT; Xu, FX发表期刊MARINE POLLUTION BULLETIN
ISSN0025-326X
2020-01
卷号150页码:110678
关键词Green tideBiomass estimationUnmanned aerial vehicleAttached algaeSubei shoal
研究领域Environmental Sciences; Marine & Freshwater Biology
DOI10.1016/j.marpolbul.2019.110678
产权排序[Jiang, Xiaopeng; Gao, Zhiqiang; Wang, Yueqi; Tian, Xinpeng; Shang, Weitao] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Zhang, Qingchun] Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China; [Jiang, Xiaopeng; Shang, Weitao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Zhang, Qingchun] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China; [Zhang, Qingchun] Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China; [Xu, Fuxiang] Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China
通讯作者Gao, Zhiqiang(zqgao@yic.ac.cn)
作者部门海岸带信息集成与综合管理实验室
英文摘要Accurate estimation of the biomass of raft-attached green algae is important for predicting the scale of green-tides in the Yellow Sea, China. In this study, two different biomass estimation methods are proposed: green algae attached to nursery-net (GAAN) and green algae attached to rope (GAAR). The GAAN method involves the use of images obtained using an unmanned aerial vehicle (UAV), high-resolution satellite images, and data from a statistical yearbook. The GAAR method uses high-resolution satellite images and data from a field sample survey. The results showed that the biomass of GAAN and GAAR in the Subei Shoal during 2017 was 8868 tons and 2974 tons respectively. A longer-term study of the biomass of GAAN and GAAR could provide quantitative information for the earnings forecasts of Porphyra yezoensis and for green-tide prevention.
文章类型Article
资助机构NSFC fund project [41876107]; NSFC-Shandong joint fund project [U1706219]; Basic Special Program of Ministry of Science and Technology [2014FY210600]; Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology [2016ASKJ02]
收录类别SCI
语种英语
关键词[WOS]LARGEST MACROALGAL BLOOM; YELLOW SEA; AQUACULTURE; PROPAGULES; TIDES
研究领域[WOS]Environmental Sciences; Marine & Freshwater Biology
WOS记录号WOS:000509611200029
引用统计被引频次：5[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24774
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
中科院海岸带环境过程与生态修复重点实验室
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China;
2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China;
5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China;
6.Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China
推荐引用方式
GB/T 7714Jiang, XP,Gao, ZQ,Zhang, QC,et al. Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope[J]. MARINE POLLUTION BULLETIN,2020,150:110678.
APAJiang, XP.,Gao, ZQ.,Zhang, QC.,Wang, YQ.,Tian, XP.,...&Xu, FX.(2020).Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope.MARINE POLLUTION BULLETIN,150,110678.
MLAJiang, XP,et al."Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope".MARINE POLLUTION BULLETIN 150(2020):110678.
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