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以枸杞岛天然海藻场近岸50 m范围内的底栖海藻为研究对象,利用BioSonics回声探测仪采集的回声样本,对未采样区域进行反距离加权插值预测,使用该方法探测评估底栖海藻资源量具有经济、高效的特点。枸杞岛地区的底栖海藻呈斑块状分布,插值预测可有效弥补回声采样难以覆盖全部研究区域的不足,并能由点及面地表现完整研究区域内底栖藻的资源状况;反距离加权插值法“在空间上越靠近就越相似”的预测特点与底栖海藻呈斑块状生长特点的契合性,适用于预测底栖海藻的空间分布情况;赋予反距离加权插值法合适的幂指数可准确高效地预测评估底栖海藻的生长分布情况,本研究中p=5为最佳幂指数。目前回声探测方法和插值预测方法在海藻资源评估领域的应用尚处于研究初期,本文探索了其在复杂的海洋环境中的应用特点,评估其应用效能。
Taking benthonic seaweeds in the 50 m nearshore of natural algae farm of Wolfberry Island as the research object, the echo samples collected by the BioSonics echo detector were used to predict the non-sampled area by inverse distance weighted interpolation. The method was used to detect and assess the benthic algae resources The amount of economic and efficient features. The benthic algae in the wolfberry Island area showed a patchy distribution. The interpolation prediction could effectively make up for the lack of coverage of all the study areas with echo sampling and could display the resource status of the benthic algae in the complete study area by point and area. The inverse distance weighted The interpolation method “the more similar in spatial similarity” predicts the conformity of benthic algae to the plaque-like growth and is suitable for predicting the spatial distribution of benthic algae; the appropriate power for inverse distance weighted interpolation Index can be accurately and efficiently predict and estimate the growth distribution of benthic seaweed. In this study, p = 5 is the best power index. At present, the application of the echo detection method and the interpolation prediction method in the field of seaweed resource assessment is still in the early stage of research. This paper explores its application characteristics in the complex marine environment and evaluates its application efficiency.