基于MaxEnt模型的中国近海主要石首鱼科鱼类潜在适生区

doi:10.13292/j.1000-4890.202206.016

生态学杂志 ›› 2022, Vol. 41 ›› Issue (9): 1825-1834.doi: 10.13292/j.1000-4890.202206.016

基于MaxEnt模型的中国近海主要石首鱼科鱼类潜在适生区

杨雯^1,2,胡文佳^2,3,4,陈彬^2,3,4,谭红建²,董鹏⁵,俞炜炜^2,3,4,杜建国^2,3,4*

（¹上海海洋大学海洋科学学院，上海 201306； ²自然资源部第三海洋研究所，福建厦门 361005； ³福建省海洋生态保护与修复重点实验室，福建厦门 361005； ⁴自然资源部海洋生态保护与修复重点实验室，福建厦门 361005； ⁵中国科学院空天信息创新研究院，北京 100094）

出版日期:2022-09-10 发布日期:2022-09-14

The potential distribution of main Sciaenidae species in coastal China based on MaxEnt model.

YANG Wen^1,2, HU Wen-jia^2,3,4, CHEN Bin^2,3，4, TAN Hong-jian², DONG Peng⁵, YU Wei-wei^2,3,4, DU Jian-guo^2,3,4*#br# #br#

(¹College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China; ²Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, Fujian, China; ³Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration, Xiamen 361005, Fujian, China; ⁴Key Laboratory of Marine Ecological Conservation and Restoration, Ministry of Natural Resources, Xiamen 361005, Fujian, China; ⁵Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China).

Online:2022-09-10 Published:2022-09-14

摘要/Abstract

摘要： 石首鱼科鱼类是我国的主要经济鱼类之一，为了解其潜在适生区分布情况和海洋环境因子对其分布的影响，本研究采用MaxEnt模型结合10种环境因子对我国近海分布的6属12种石首鱼科鱼类的适生区进行分析，使用受试者工作特征曲线对模型准确度进行验证，采用刀切法评估环境因子的重要性，绘制鱼类潜在适生区分布图并识别主导环境因子。结果表明：模型平均曲线下面积值达0.943，验证模型准确度良好，结果可靠；总体而言，石首鱼科鱼类大多数种类分布于渤海湾、黄海中南部、长江口海域、福建沿海以及珠江口海域，其中珠江口海域石首鱼科鱼类丰富度最高；影响石首鱼科鱼类潜在适生区分布的主导环境因子为溶解氧浓度、离岸距离及初级生产力；白姑鱼属在全国沿海均有分布，2个以上种类共同潜在适生区主要分布在长江口以南海域，集中分布于台湾海峡、广东沿岸及海南岛北部海域；叫姑鱼属在全国均有分布，大多数鱼类的潜在适生区分布在黄渤海、东海、台湾海峡以及珠江口海域；黄鱼属2个种类的共同潜在适生区从长江口以南连续分布至闽中渔场以北海域，长江口外海为最集中分布区；梅童鱼属2个种类的共同潜在适生区呈大面积块状分布于江苏连云港以南和长江口以北海域。

关键词: 石首鱼科, MaxEnt, 适生区, 主导环境因子, 生态位

Abstract: Sciaenidae species are one of the traditional economic fishes in China. To understand the potential distribution and the influence of marine environmental factors on their distribution, the MaxEnt model combined with 10 environmental factors was used to predict the potential distribution of 12 Sciaenidae species in the coastal China. The receiver operating characteristic curve (ROC) was used to verify the accuracy of the model, while the Jackknife method was used to assess the importance of environmental factors. The potential distributions were mapped and the dominant environmental factors were identified. The results showed that the average AUC value of the model reached 0.943, indicating that the accuracy of the model was good and the results were reliable. Most of the 12 Sciaenidae species are distributed in the Bohai Bay, the south-central Yellow Sea, the Yangtze River estuary, and the coast of Fujian and the Pearl River estuary, with the highest richness of Sciaenidae species appearing in the Pearl River estuary. Dissolved oxygen concentration, offshore distance and primary productivity are the dominant environmental factors driving the potential distribution of Sciaenidae fishes. The genus Pennahia is distributed in coastal China, with the common potential distribution for more than two species being mainly distributed in the south of the Yangtze River estuary, and concentrated in the Taiwan Strait, the coast of Guangdong and the northern Hainan Island. The genus of Johnius is also distributed in coastal China, with the potential distribution of most of the species being in the Yellow Sea, the East China Sea, the Taiwan Strait and the Pearl River Estuary. The common potential distribution for two species of genus Larimichthys are continuously distributed from the south of the Yangtze River estuary to the north of the Minzhong fishing ground, and the sea off the Yangtze River estuary is the most concentrated distribution area. The common potential distribution for the two species of genus Collichthys is distributed in large patchy areas in the south of Lianyungang, Jiangsu and north of the Yangtze River estuary.

Key words: Sciaenidae, MaxEnt model, potential habitat, dominant environmental factor, ecological niche.

杨雯, 胡文佳, 陈彬, 谭红建, 董鹏, 俞炜炜, 杜建国. 基于MaxEnt模型的中国近海主要石首鱼科鱼类潜在适生区[J]. 生态学杂志, 2022, 41(9): 1825-1834.

YANG Wen, HU Wen-jia, CHEN Bin, TAN Hong-jian, DONG Peng, YU Wei-wei, DU Jian-guo. The potential distribution of main Sciaenidae species in coastal China based on MaxEnt model.[J]. Chinese Journal of Ecology, 2022, 41(9): 1825-1834.

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基于MaxEnt模型的中国近海主要石首鱼科鱼类潜在适生区

The potential distribution of main Sciaenidae species in coastal China based on MaxEnt model.

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