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Comparing different spatial interpolation methods to predict the distribution of fishes:A case study of Coilia nasus in the Changjiang River Estuary

引用

Acta Oceanologica Sinica 2021年第8期40卷 119-132页

作者： Shaoyuan Pan Siquan Tian Xuefang Wang Libin Dai Chunxia Gao Jianfeng Tong College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China National Distant-water Fisheries Engineering Research Center Shanghai 201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai 201306China Key Laboratory of Oceanic Fisheries Exploitation Ministry of Agriculture and Rural AffairsShanghai 201306China Scientific Observing and Experimental Station of Oceanic Fishery Resources Ministry of Agriculture and Rural AffairsShanghai 201306China

spatial-temporal distribution of marine fishes is strongly influenced by environmental *** obtain a more continuous distribution of these variables usually measured by stationary sampling designs,spatial interpolation methods(SIMs)is usually ***,different SIMs may obtain varied estimation values with significant differences,thus affecting the prediction of fish spatial *** this study,different SIMs were used to obtain continuous environmental variables(water depth,water temperature,salinity,dissolved oxygen(DO),p H,chlorophyll a and chemical oxygen demand(COD))in the Changjiang River Estuary(CRE),including inverse distance weighted(IDW)interpolation,ordinary Kriging(OK)(semivariogram model:exponential(OKE),Gaussian(OKG)and spherical(OKS))and radial basis function(RBF)(regularized spline function(RS)and tension spline function(TS)).The accuracy and effect of SIMs were cross-validated,and two-stage generalized additive model(GAM)was used to predict the distribution of Coilia nasus from 2012 to 2014 in *** and COD were removed before model prediction due to their autocorrelation coefficient based on variance inflation factors *** showed that the estimated values of environmental variables obtained by the different SIMs differed(i.e.,mean values,range etc.).Cross-validation revealed that the most suitable SIMs of water depth and chlorophyll a was IDW,water temperature and salinity was RS,and p H was ***,different interpolation results affected the predicted spatial distribution of Coilia nasus in the *** mean values of the predicted abundance were similar,but the differences between and among the maximum value were *** showed that different SIMs can affect estimated values of the environmental variables in the CRE(especially salinity).These variations further suggest that the most applicable SIMs to each variable will also ***,it is necessary to take these potential impacts into consideration when

关键词： the Changjiang River Estuary marine environmental factors spatial interpolation method Coilia nasus spatial distribution

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