Marine Biology Institute of Shandong Province, Qingdao 266104, Shandong, China.
Shandong Marine Forecast and Hazard Mitigation Service, Qingdao 266104, Shandong,China.
Ying Yong Sheng Tai Xue Bao. 2021 Mar;32(3):1061-1068. doi: 10.13287/j.1001-9332.202103.034.
We used the habitat suitability index (HSI) model to determine the habitat suitability of in Lidao bay, Shandong Province. Eight environmental factors, including temperature, salinity, depth, turbidity, sediment, inorganic nitrogen concentration, phosphate concentration, distance from seaweed bed, were used as input variables for HSI model. The weight of each factor was defined by the analytic hierarchy process (AHP). We implemented the distribution of suitable habitat along the coast of Lidao bay with the HSI model, based on the investigation of the environmental factors in spring and autumn 2018. The results showed that most of the natural habitats were identified as excellent habitat and suitable habitat, accounting for 14.2% in spring and 18.6% in autumn. The distribution of habitat hierarchies varied across seasons, while habitat hierarchies showed spatial intersections in different seasons. There were significant seasonal differences in the factor suitability indices of temperature and phosphate concentration, which accounted for the seasonal HSI variations of in Lidao bay. The HSI model could be used to detect the habitat hierarchies distribution of , and also to find its potential suitable habitat, which could provide a reference for future resource conservation and artificial proliferation of .
我们使用栖息地适宜性指数（HSI）模型来确定山东省里岛湾中 的栖息地适宜性。该模型将温度、盐度、水深、浑浊度、底质、无机氮浓度、磷酸盐浓度、与海藻床的距离等 8 个环境因素作为输入变量。每个因素的权重由层次分析法（AHP）定义。我们根据 2018 年春季和秋季的环境因子调查，利用 HSI 模型实现了里岛湾沿海 的适宜栖息地分布。结果表明，春季和秋季分别有 14.2%和 18.6%的 自然栖息地被确定为优秀和适宜栖息地。栖息地层次的分布在不同季节存在差异，而不同季节的栖息地层次存在空间上的交集。温度和磷酸盐浓度的因子适宜性指数存在显著的季节性差异，这解释了里岛湾 季节性 HSI 变化的原因。HSI 模型可用于检测 的栖息地层次分布，并找到其潜在的适宜栖息地，为未来的资源保护和人工增殖提供参考。
