《Aquatic Ecology》杂志刊登“里海南部库图拟鲤的适宜度指数和栖息地适宜度指数模型”

作者：Ali Haghi Vayghan, Hadi Poorbagher, Hamid Taheri Shahraiyni, Hasan Fazli, Hasan Nasrollahzadeh Saravi

刊物：《Aquatic Ecology》,2013年9月

关键词：栖息地适宜度指数模型；适宜度指数；基于生态系统的渔业管理；库图拟鲤；里海

摘要：在基于生态系统的渔业管理中，物种和栖息地的关系是非常重要的。栖息地适宜度（HSI）模型是生态学中一个很实用的工具，它能够用于描述鱼类丰富度和生态变量之间的关系，以评估特定栖息地的适宜度。在本研究中，栖息地适宜度模型被用于确定里海库图姆（库图拟鲤）的适宜性栖息地，库图拟鲤是南部里海重要的商业物种。研究认为算术平均模型（AMM）是描述两个环境变量(深度和底栖生物量)之间最合适的模型。然而，当使用所有四个环境变量（深度、底栖生物、光合有效辐射和表层海水温度）时，几何均值模型能更好的解释其明显的关系。HIS大于0.5的区域总渔获量超过了85%，表明了使用AMM预测里海库图姆栖息地的可靠性。目前研究表明，里海库图姆选择栖息地最重要的环境参数是深度和基质结构，遥感数据、叶绿素a、光合有效辐射和海水表层温度是里海库图姆栖息地实时预测中最重要的参数。

Suitability indices and habitat suitability index model of Caspian kutum (Rutilus frisii kutum) in the southern Caspian Sea

Authors: Ali Haghi Vayghan, Hadi Poorbagher, Hamid Taheri Shahraiyni, Hasan Fazli, Hasan Nasrollahzadeh Saravi

Journal: 《Aquatic Ecology》,September 2013

Key words: Habitat suitability index model; Suitability indices; Ecosystem-based fisheries management; Caspian kutum; Caspian sea

Abstract:The relationship between species and habitat is important in ecosystem-based fisheries management. Habitat suitability index (HSI) modeling is a valuable tool in ecology and can be used to describe the relationship between fish abundance and ecological variables in order to estimate the suitability of specific habitats. In the present study, an HSI model was applied to determine suitable habitats for the Caspian kutum (Rutilus frisii kutum), an important commercial species in the southern Caspian Sea. An arithmetic mean model (AMM) was found to be the most appropriate model for describing the relationship between two of the environmental variables investigated (depth and benthos biomass). However, a geometric mean model explained the evident relationship when all four environmental variables were used (depth, benthos biomass, photosynthetically active radiation and sea surface temperature). The areas with an HSI > 0.5 had over 85 % of the total catch indicating the reliability of the prediction of the Caspian kutum habitat using the AMM. The present study showed that depth and substrate structure are the most important environmental variables for the Caspian kutum to select its habitats, and between remotely sensed data, chlorophyll a, photosynthetically active radiation and sea surface temperature are the most critical parameters for near real-time prediction of the Caspian kutum habitat.

原文链接：http://link.springer.com/article/10.1007/s10452-013-9457-9