The application of predicted habitat models to investigate the spatial ecology of demersal fish assemblages
The application of predicted habitat models to investigate the spatial ecology of demersal fish assemblages
复制标题
应用预测栖息地模型研究底层鱼类群落的空间生态
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
K. V. Niel
中科院分区：
文献类型：
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作者：
Cordelia Moore;E. Harvey;K. V. Niel
众所周知，底栖生物栖息地会影响底栖鱼类群落的丰度和丰富度；然而，对于栖息地结构和组成如何在非常精细的尺度上影响这些分布，人们知之甚少。我们利用高分辨率测深技术和精确预测底栖生物栖息地地图，研究了底栖生物环境如何构成海洋鱼类组合。以马赛克生境斑块为特征的地区支持着最丰富的底栖鱼类。鱼类种群分布变化的37.4%可归因于6个显著变量。深度解释了23.0%的变化，巨石解释了12.6%，地形解释了1.4%。其余措施（海鞭、光/暴露和固体礁）的贡献虽小（<1.0%），但意义重大。为了更好地管理底栖鱼类种群，确定底栖环境中对鱼类群落结构重要的组成部分并了解它们如何影响海洋鱼类的空间分布是必不可少的。
Benthic habitats are known to influence the abundance and richness of demersal fish assemblages; however, little is known about how habitat structure and composition influences these distributions at very fine scales. We examined how the benthic environment structures marine fish assemblages using high-resolution bathymetry and accurate predicted benthic habitat maps. Areas characterised by a mosaic of habitat patches supported the highest richness of demersal fishes. A total of 37.4% of the variation in the distribution of the fish assemblage was attributed to 6 significant variables. Depth explained 23.0% of the variation, with the boulders explaining 12.6% and relief 1.4%. The remaining measures (seawhips, light/exposure and solid reef) provided a small (<1.0%) but significant contribution. Identifying components of the benthic environment important in structuring fish assemblages and understanding how they influence the spatial distribution of marine fishes is imperative for better management of demersal fish populations.