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Beta diversity of tropical marine benthic assemblages in the Spermonde Archipelago, Indonesia

机译:印度尼西亚斯佩蒙德群岛热带海洋底栖生物的贝塔多样性

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In order to preserve diversity it is essential to understand how assemblages change across space. Despite this fact, we still know very little about how marine diversity is spatially distributed, especially among lesser-studied invertebrate taxa. In the present study beta-diversity patterns of sea urchins, sponges, mushroom corals and larger foraminifera were assessed in the Spermonde Archipelago (Indonesia). Using ordinations we showed that the inshore zone ( < 5 km offshore), midshore zone (5 < x < 30 km offshore) and distance offshore zone ( > 30 km offshore) all contained distinct assemblages of sponges and corals, while only foraminifera assemblages from the inshore ( < 5 km offshore) zone were distinct. There was a significant spatial pattern of community similarity for all taxa surveyed, but this pattern proved to be wholly related to environmental variables for sponges and foraminifera, and primarily for mushroom corals and sea urchins. The lack of a pure spatial component suggests that these taxa may not be dispersal limited within the spatial scales of this study (c. 1600 km~2). The analyses of the corals and foraminifera were additionally tested at two spatial scales of sampling. Both taxa were primarily associated with local-scale environmental variables at the local scale and larger-scale variables at the larger scale. Mean inter-plot similarity was also higher and variation lower at the larger scale. The results suggest that substantial variation in similarity can be predicted using simple locally assessed environmental variables combined with remotely sensed parameters.
机译:为了保持多样性,必须了解组合如何在空间中变化。尽管如此,我们对海洋多样性如何在空间上分布仍然知之甚少,尤其是在研究较少的无脊椎动物类群中。在本研究中,在印度尼西亚的Spermonde群岛评估了海胆,海绵,蘑菇珊瑚和较大的有孔虫的β多样性模式。使用定律,我们显示近海带(离岸<5 km),中岸带(离岸<5 30 km)都包含不同的海绵和珊瑚组合,而仅来自沿岸(离岸<5 km)区域是明显的。在所有调查的类群中,社区相似性都有明显的空间格局,但事实证明,这种格局与海绵和有孔虫(主要是蘑菇珊瑚和海胆)的环境变量完全相关。缺乏纯净的空间成分表明这些分类单元可能不会在本研究的空间范围内(约1600 km〜2)受到限制。珊瑚和有孔虫的分析另外在两个空间尺度上进行了测试。这两个分类单元都主要与局部尺度上的局部环境变量和较大尺度上的较大尺度变量相关。较大范围内,平均图间相似度也较高,而变化较小。结果表明,可以使用简单的本地评估环境变量与遥感参数相结合来预测相似性的显着变化。

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