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基于海洋学变量的台湾海峡黑鲷（）栖息地的集合建模。

Ensemble modeling of black pomfret () habitat in the Taiwan Strait based on oceanographic variables.

机构信息

Environmental Biology & Fishery Science, National Taiwan Ocean University, Keelung, Taiwan.

Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung, Taiwan.

出版信息

PeerJ. 2023 Mar 9;11:e14990. doi: 10.7717/peerj.14990. eCollection 2023.

DOI:10.7717/peerj.14990
PMID:36919168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10008307/
Abstract

The location, effort, number of captures, and time of fishing were all used in this study to assess the geographic distribution of in the Taiwan Strait. Other species distribution models performed worse than generalized linear models (GLMs) based on six oceanographic parameters. The sea surface temperature (SST) was between 26.5 °C and 29.5 °C, the sea surface chlorophyll (SSC) level was between 0.3-0.44 mg/m, the sea surface salinity (SSS) was between 33.4 °C and 34.4 °C, the mixed layer depth was between 10 °C and 14 °C, the sea surface height was between 0.57 °C and 0.77 °C, and the eddy kinetic energy (EKE) was between 0.603 °C. According to the statistical findings, SST is merely a small effect compared to SSS, SSC level, and EKE in terms of impacting species distribution. By combining four effective single-algorithm models with no obvious bias, an ensemble habitat model was created. The ranges of 117°E-119°E and 22°N-24°N have the highest annual distributions of S.CPUE and nominal CPUE.

摘要

本研究利用捕捞地点、努力量、捕捞次数和捕捞时间，评估了台湾海峡 的地理分布。基于六个海洋参数的广义线性模型 (GLM) 比其他物种分布模型表现更差。表层海水温度 (SST) 在 26.5°C 至 29.5°C 之间，表层海水叶绿素 (SSC) 水平在 0.3-0.44mg/m 之间，表层海水盐度 (SSS) 在 33.4°C 至 34.4°C 之间，混合层深度在 10°C 至 14°C 之间，海面高度在 0.57°C 至 0.77°C 之间，涡动动能 (EKE) 在 0.603°C 之间。根据统计结果，SST 对物种分布的影响仅略小于 SSS、SSC 水平和 EKE。通过将四个没有明显偏差的有效单算法模型组合在一起，创建了一个综合生境模型。117°E-119°E 和 22°N-24°N 的范围具有最高的 S.CPUE 和名义 CPUE 年分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/f56d5edbf969/peerj-11-14990-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/cddc89a02908/peerj-11-14990-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/3dc152cae65b/peerj-11-14990-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/ec14f02ff895/peerj-11-14990-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/c65707b7878b/peerj-11-14990-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/45fe560001bf/peerj-11-14990-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/222632f310ee/peerj-11-14990-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/f56d5edbf969/peerj-11-14990-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/cddc89a02908/peerj-11-14990-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/3dc152cae65b/peerj-11-14990-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/ec14f02ff895/peerj-11-14990-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/c65707b7878b/peerj-11-14990-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/45fe560001bf/peerj-11-14990-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/222632f310ee/peerj-11-14990-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ec/10008307/f56d5edbf969/peerj-11-14990-g007.jpg

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