Caeiro S, Costa M H, Goovaerts P, Martins F
IMAR, Department of Exact and Technological Sciences of the Portuguese Distance Learning University, R. Escola Politecnica, 147, 1269-001 Lisbon, Portugal.
Mar Environ Res. 2005 Dec;60(5):570-93. doi: 10.1016/j.marenvres.2005.04.002.
An integration of sediment physical, chemical, biological, and toxicity data is necessary for a meaningful interpretation of the complex sediment conditions in the marine environment. Assessment of benthic community is a vital component for that interpretation, yet their evaluation is complex and requires a large expenditure of time and funds. Thus, there is a need for new tools that are less expensive and more understandable for managers. This paper presents a benthic biotope index to predict from physical and chemical variables the occurrence of macrobenthic habitats. Parameters such as sediment type, organic matter, depth, and hydrodynamic parameters were selected, through a discriminant analysis, to compute the index. Other authors have used multivariate methods to determine the benthic biotopes for Sado Estuary. The index proved to be a valid tool to classify and assess the spatial patterns of benthic habitat and to synthesize stress biotope gradients.
整合沉积物的物理、化学、生物和毒性数据，对于有意义地解读海洋环境中复杂的沉积物状况而言是必要的。底栖生物群落评估是该解读的重要组成部分，然而其评估过程复杂，需要耗费大量时间和资金。因此，需要开发新工具，这些工具对管理人员来说成本更低且更易于理解。本文提出了一种底栖生物群落指数，用于根据物理和化学变量预测大型底栖生物栖息地的出现情况。通过判别分析选择了沉积物类型、有机质、深度和水动力参数等参数来计算该指数。其他作者已使用多变量方法来确定萨多河口的底栖生物群落。该指数被证明是一种有效的工具，可用于分类和评估底栖生物栖息地的空间格局，并综合压力生物群落梯度。
