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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Habitat suitability modelling as a mapping tool for macrobenthic communities: An example from the Belgian part of the North Sea
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Habitat suitability modelling as a mapping tool for macrobenthic communities: An example from the Belgian part of the North Sea

机译:生境适宜性建模作为大型底栖动物群落的作图工具:北海比利时地区的一个例子

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Being ecologically important and well-known, the spatial distribution pattern of the macrobenthos is often used to support an ecologically sustainable marine management. Though in many cases the macrobenthic spatial distribution is relatively well-known, this information is merely restricted to point observations at the sampling stations: although being increasingly demanded, full coverage spatial distribution maps are generally lacking. This study therefore aimed at demonstrating the usefulness of habitat suitability modelling as a full coverage mapping tool with high relevance for marine management through (1) the construction of a habitat suitability model for the soft sediment macrobenthic communities in the Belgian part of the North Sea (BPNS) and (2) predicting the full coverage spatial distribution of macrobenthic communities within the BPNS. The BPNS was selected as a case study area because of the high data availability on both macrobenthos and environmental characteristics. Discriminant function analysis (DFA) objectively selected median grain size and sediment mud content and omitted bathymetry, slope and distance to the coast to represent the most important environmental variables determining the macrobenthic community distribution. The consequent crossvalidated, empirical habitat suitability model, using both median grain size and mud content, showed an a posteriori average correctly classified instances (CCI) of 79% (community-dependent CCI ranging from 72% to 86%) and a Cohen's kappa of 0.71, pointing towards a very good agreement between model predictions and observations. The application of the habitat suitability model on the full coverage maps of median grain size and sediment mud content, taken from literature, allowed to reliably assess the distribution of the macrobenthic communities within 96.3% of the 53,297 BPNS grid cells with a resolution of 250 m. Next to its applicability to the BPNS, the model is further anticipated to potentially perform well in the full Southern Bight of the North Sea: testing is advised here. Since the habitat suitability is considered far more stable through time compared to the permanently fluctuating macrobenthic communities, information on the habitat suitability of an area is considered highly important for a scientifically sound marine management. (c) 2007 Elsevier Ltd. All rights reserved.
机译:大型底栖动物在生态上非常重要且广为人知,其空间分布模式通常用于支持生态上可持续的海洋管理。尽管在许多情况下,大型底栖动物的空间分布是众所周知的,但该信息仅限于在采样站进行点观测:尽管需求量不断增加,但通常缺少全覆盖的空间分布图。因此,本研究旨在证明栖息地适宜性模型作为与海洋管理高度相关的全覆盖图工具的有用性,方法是(1)构建北海比利时部分软沉积物大型底栖动物群落的栖息地适宜性模型(( BPNS)和(2)预测BPNS内大型底栖动物群落的全覆盖空间分布。由于大型底栖动物和环境特征的数据可用性高,因此选择BPNS作为案例研究区域。判别函数分析(DFA)客观地选择了中值粒度和沉积物泥浆含量,并省略了测深,坡度和到海岸的距离,以代表确定大型底栖动物群落分布的最重要的环境变量。因此,使用中值粒度和泥浆含量进行交叉验证的经验生境适应性模型,显示后验平均正确分类实例(CCI)为79%(社区依赖性CCI从72%到86%不等),科恩kappa为0.71,表明模型预测和观察值之间有很好的一致性。将栖息地适应性模型应用到文献中得出的中值粒度和沉积物泥浆含量的全覆盖图上,可以可靠地评估大型底栖动物群落在53297个BPNS网格单元中96.3%内的分布,分辨率为250 m 。除了适用于BPNS之外,该模型还有望在北海的整个南部海岸线上表现良好:建议在此处进行测试。由于与长期波动的大型底栖动物群落相比,随着时间的推移,栖息地的适宜性要稳定得多,因此,有关某个地区的栖息地适宜性的信息对于科学合理的海洋管理非常重要。 (c)2007 Elsevier Ltd.保留所有权利。

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