Perus Jens, Bonsdorff Erik, Bäck Saara, Lax Hans-Göran, Villnäs Anna, Westberg Vincent
Abo Akademi University, Environmental and Marine Biology, Finland.
Ambio. 2007 Apr;36(2-3):250-6. doi: 10.1579/0044-7447(2007)36[250:zaioes]2.0.co;2.
A new method for classifying soft-bottom zoobenthic assemblages along the Finnish coasts (northern Baltic Sea) is presented and tested against traditional physicochemical monitoring data in the complex Archipelago Sea. Although multivariate methods for assessing the state of the marine environment have become widely used, few numerical indices can operate over a wide salinity range. We compare indices currently in use and propose a new index, BBI (brackish water benthic index), for the low-saline and species-poor Baltic coastal waters. BBI offers a salinity-corrected tool for classification of the soft-bottom zoobenthos under the demands of the European Union Water Framework Directive.
本文提出了一种对芬兰海岸（波罗的海北部）软底动物群落进行分类的新方法，并在复杂的群岛海与传统理化监测数据进行了对比测试。尽管用于评估海洋环境状况的多变量方法已被广泛使用，但很少有数值指标能在较宽的盐度范围内有效运行。我们比较了目前使用的指标，并针对低盐度和物种较少的波罗的海沿岸水域提出了一种新指标——BBI（咸淡水底栖生物指数）。BBI为在欧盟水框架指令要求下对软底动物进行分类提供了一种经过盐度校正的工具。
