2020
DOI: 10.1016/j.ecolmodel.2020.109071
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Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species

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Cited by 21 publications
(8 citation statements)
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“…We computed 95% confidence intervals on suitable habitats using the threshold value. Covariate selection and model evaluation was based on (a) Receiver Operation Characteristic (ROC) curve 73 , (b) contribution of covariates individually and in ecologically meaningful combinations to explain the variability of the training and test data sets and (c) Omission/Commission analysis of test dataset (d) True Skill Statistics (TSS) 74 , 75 and (e) Akaike Information Criteria (AIC) 52 , 76 Species response curves to each covariate were examined and ecologically interpreted 77 , 78 .…”
Section: Methodsmentioning
confidence: 99%
“…We computed 95% confidence intervals on suitable habitats using the threshold value. Covariate selection and model evaluation was based on (a) Receiver Operation Characteristic (ROC) curve 73 , (b) contribution of covariates individually and in ecologically meaningful combinations to explain the variability of the training and test data sets and (c) Omission/Commission analysis of test dataset (d) True Skill Statistics (TSS) 74 , 75 and (e) Akaike Information Criteria (AIC) 52 , 76 Species response curves to each covariate were examined and ecologically interpreted 77 , 78 .…”
Section: Methodsmentioning
confidence: 99%
“…SDMs can be reliable tools for selecting potential offshore aquaculture areas (Beard et al 2020 ; Falconer et al 2016 ). Previous studies have confirmed that SDMs were useful for identifying suitable aquaculture sites for farming Manila clam ( Ruditapes philippinarum ) (Dong et al 2020 ) and for identifying the suitable locations for seaweeds aquaculture in the Spencer Gulf, South Australia (Wiltshire and Tanner 2020 ). In the present study, the high values of the areas under the receiver-operating characteristic curve (AUC) and the true skill statistic (TSS) suggest that the SDMs have a good predictive capacity for selecting suitable aquaculture areas for the cold-water fish S. salar and O. mykiss .…”
Section: Discussionmentioning
confidence: 91%
“…Among final models selected and based on the principle of parsimony (Vollering et al., 2019; Wiltshire & Tanner, 2020), we prioritized the models presenting the simplest features and the least number of variables and used its parameter settings to create final models. We ran 30 bootstrap replicates (with no clamping or extrapolation, extrapolation and clamping and extrapolation) and retained a random partition of 50% of the points from each run.…”
Section: Methodsmentioning
confidence: 99%
“…Among final models selected and based on the principle of parsimony (Vollering et al, 2019;Wiltshire & Tanner, 2020), we prioritized the models presenting the simplest features and the least number of variables and used its parameter settings to create final models. We…”
Section: Niche Modellingmentioning
confidence: 99%