Accounting for movement in spatial surplus production models: A case study of redfish on the Eastern Grand Banks of Newfoundland

Spatial surplus production models (SSPMs) are a key alternative to spatial population dynamics models when reliable spatial aging data is unavailable. However, fish movements present computational challenges for SSPMs and can be confounded with process errors, hindering the identification of SSPM parameters. We propose leveraging a Gaussian Markov Random Field (GMRF) with a Matérn covariance structure to account for spatiotemporal variation in dynamics and population production, thereby circumventing the computational and confounding issues. Through simulation studies, wherein data is generated explicitly considering movements, our novel random field model outperforms the alternative methods in estimating fish spatial abundance, as evaluated using statistical metrics including Akaike information criterion, Bayesian information criteria, and correlation between simulated and estimated populations. We also applied our method to reveal the spatial distribution of redfish in NAFO 3LN divisi..., , # Accounting for Movement in Spatial Surplus Production Models: A Case Study on 3LN Redfish Dataset DOI: [10.5061/dryad.rxwdbrvnn](10.5061/dryad.rxwdbrvnn) ## Description of the data and file structure The final_submitted_codes.zip file contains two folders: simulations and redfish. 1\. simulations This folder includes the TMB codes, R codes and data (i.e., redfish_results.RData) used for the simulation studies presented in the paper: Accounting for Movement in Spatial Surplus Production Models: A Case Study of Redfish on the Eastern Grand Banks of Newfoundland by Hoang Nguyen, Jin Gao, Noel G. Cadigan, Yanjun Wang, Fan Zhang, Nan Zheng. The CSV files are containers to store simulation results. 2\. redfish This folder contains the TMB code, R code and data used for the case studies in the paper. The data files include the .RData files and a landings.txt file. In both folders, the survey data are simulated due to restrictions from the Fisheries and Oceans Canada (DFO) on sharin...,空间剩余产量模型（Spatial surplus production models, SSPMs）是当无法获取可靠的空间年龄数据时，替代空间种群动态模型的关键方案。然而，鱼类移动会给SSPMs带来计算层面的挑战，且其影响可能与过程误差相互混淆，阻碍SSPM参数的辨识。本研究提出采用带有马尔特兰协方差结构（Matérn covariance structure）的高斯马尔可夫随机场（Gaussian Markov Random Field, GMRF），以刻画种群动态与种群产量的时空变异，从而规避上述计算与混淆问题。通过开展明确考虑移动因素的模拟实验，我们的新型随机场模型在估算鱼类空间丰度方面表现优于其他方法，该结论通过多项统计指标验证，包括赤池信息准则（Akaike information criterion, AIC）、贝叶斯信息准则（Bayesian information criterion, BIC）以及模拟种群与估算种群间的相关性。我们还将所提方法应用于揭示北大西洋渔业组织（Northwest Atlantic Fisheries Organization, NAFO）3LN分区红鱼的空间分布…… # 《空间剩余产量模型中的移动性修正：以3LN分区红鱼为例》 数据集数字对象标识符（DOI）：10.5061/dryad.rxwdbrvnn ## 数据与文件结构说明 最终提交代码压缩包（final_submitted_codes.zip）包含两个文件夹：simulations（模拟实验文件夹）与redfish（红鱼案例文件夹）。 1. simulations文件夹 该文件夹包含论文《空间剩余产量模型中的移动性修正：以纽芬兰东部大浅滩红鱼为例》（作者：Hoang Nguyen、Jin Gao、Noel G. Cadigan、Yanjun Wang、Fan Zhang、Nan Zheng）中模拟研究所使用的模板模型构建器（Template Model Builder, TMB）代码、R代码以及数据文件redfish_results.RData。其中CSV文件用于存储模拟实验的结果。 2. redfish文件夹 该文件夹包含论文案例研究所使用的模板模型构建器（Template Model Builder, TMB）代码、R代码以及相关数据文件，数据文件包括.RData格式文件与landings.txt（捕捞量文本文件）。 两个文件夹中的调查数据均为模拟生成，原因是加拿大渔业与海洋部（Fisheries and Oceans Canada, DFO）对数据共享存在相关限制……