气候变化领域集成服务门户(CCPortal): Using satellite remote sensing to improve the prediction of scallop condition in their natural environment: Case study for Georges Bank, Canada

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DOI	10.1016/j.rse.2020.112251
	Using satellite remote sensing to improve the prediction of scallop condition in their natural environment: Case study for Georges Bank, Canada
	Liu X.; Devred E.; Johnson C.L.; Keith D.; Sameoto J.A.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	The continuous, synoptical and high spatio-temporal resolution of thermal and visible satellite observations constitute an asset when characterizing and monitoring biogeochemical cycles in the oceans. In particular, they provide a unique insight into the hydrodynamics of the surface ocean and phytoplankton phenology. This information can be combined with in-situ observations of higher trophic levels to understand the functioning of the marine ecosystem, with potential use for fisheries and aquaculture. In the Gulf of Maine, off the eastern seaboard of North America, Georges Bank is one of the world's most productive natural sea scallop (Placopecten magellanicus) fisheries, which sustains economically valuable fisheries in Canada and the US. In Canada, the relationship between the scallop meat weight and its shell height (known as scallop condition) is used to obtain biomass estimates for stock assessment and thereby influences the fishing quotas. On Georges Bank, for a 100 mm shell height scallop, scallop condition has varied significantly interannually between 10.2 g and 19.5 g. Establishing a relationship between environmental factors and scallop condition would improve the forecasting of scallop biomass and reduce the uncertainty when determining the total allowable catch for the subsequent fishing season. In this study, satellite remote-sensed sea-surface temperature (SST) and chlorophyll-a concentration (Chla) coupled with in-situ measurements of scallop condition (SC) on Georges Bank were used to assess the relationship between SC and satellite-derived environmental conditions between 1985 and 2019 for SST and between 1998 and 2019 for Chla. The inter-annual variation of SC in May was found to be positively correlated (p-value <0.001) with the variation in SST in winter-spring months of the current and previous year of the SC survey. An empirical linear model for the estimation of SC was developed and validated using two independent datasets of satellite SST (r2 = 0.64, MAPD = 7%). Another model using cumulative SST in the previous year only was also provided (r2 = 0.58, MAPD = 7.7%), which could serve as an alternative choice when the SST products in the current year are not yet available for use. There was a weak relationship observed between SC and Chla; this is likely due to the influence of water-column vertical mixing on transport of phytoplankton to the benthic zone where the sea scallop resides. Our study indicates that a cost-effective satellite-derived SST product can be used to improve predictions of SC and provide useful information and decision support tools for managing scallop stocks. © 2020
英文关键词	Fishery; Phytoplankton; Remote sensing; Scallop; Sea-surface temperature
语种	英语
scopus关键词	Biogeochemistry; Cost effectiveness; Decision support systems; Ecosystems; Fisheries; Forecasting; Molluscs; Phytoplankton; Remote sensing; Satellites; Shellfish; Surface waters; Chlorophyll-a concentration; Decision support tools; Environmental conditions; Satellite observations; Satellite remote sensing; Sea surface temperature (SST); Spatio-temporal resolution; Total allowable catches; Oceanography; biogeochemistry; hydrodynamics; mollusc; phenology; prediction; river bank; satellite altimetry; sea surface salinity; sea surface temperature; spatial resolution; temporal variation; water column; Atlantic Ocean; Canada; George River; Gulf of Maine; Quebec [Canada]; Matthiola; Placopecten magellanicus
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178981
作者单位	Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada; Plymouth Marine Laboratory, Plymouth, PL1 3DH, United Kingdom
推荐引用方式 GB/T 7714	Liu X.,Devred E.,Johnson C.L.,et al. Using satellite remote sensing to improve the prediction of scallop condition in their natural environment: Case study for Georges Bank, Canada[J],2021,254.
APA	Liu X.,Devred E.,Johnson C.L.,Keith D.,&Sameoto J.A..(2021).Using satellite remote sensing to improve the prediction of scallop condition in their natural environment: Case study for Georges Bank, Canada.Remote Sensing of Environment,254.
MLA	Liu X.,et al."Using satellite remote sensing to improve the prediction of scallop condition in their natural environment: Case study for Georges Bank, Canada".Remote Sensing of Environment 254(2021).