基于MaxEnt模型和ArcGIS对巨藻在我国适生情况的分析
Progress In Fishery Sciences（2023）
江苏海洋大学 江苏省海洋生物技术重点实验室 江苏 连云港 222005
Abstract
发展新养殖对象及异地栽培需首先掌握物种的生态适应性.有关巨藻(Macrocystis pyrifera)在我国海区适应性的研究甚少,海区养殖效果不理想,我国巨藻养殖业发展欠佳.本研究采用MaxEnt构建了巨藻的物种分布模型,当特征组合为乘积型特征(product features)、二次型特征(quadratic features)和片段化特征(hinge features),正则化参数为0.8时,模型预测性能最佳;综合考虑环境因子的相关性及对模型的贡献率,筛选出6项环境因子用于模型构建,其中,光强与温度对巨藻自然分布的影响最大,在光强不低于2 μmol/(m2·s)、年均温度范围10.5～17.0℃条件下,巨藻的适生概率较高.采用所构模型结合ArcGIS预测巨藻在我国的适生区:主要分布于黄渤海,约占该海域面积的13.17％,其中,边缘适生区为5.46％,低适生区为2.85％,中适生区为1.20％,高适生区为3.66％,表明辽东湾、渤海湾是巨藻引种养殖和藻场建设的适宜海域.
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Key words
macrocystis pyrifera,maxent,arcgis,potential suitable area
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