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首页> 外文期刊>Wetlands >Multiple Spatial Scale Analysis Provide an Understanding of Benthic Macro-Invertebrate Community Structure Across a Lagoonal Ecosystem
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Multiple Spatial Scale Analysis Provide an Understanding of Benthic Macro-Invertebrate Community Structure Across a Lagoonal Ecosystem

机译:多元空间尺度分析提供了对整个泻湖生态系统底栖大型无脊椎动物群落结构的了解

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Chilika, the largest coastal lagoon of Asia, represents a complex transitional zone between terrestrial and marine ecosystems. In this study benthic macro-invertebrate community structure was elucidated based on multiple spatial scales approach (station-wise, sector-wise and region-wise) across Chilika from June 2013 to February 2015 (temporal scale), encompassing 23 pre-selected stations in link with measurement of abiotic parameters. Sixty two macro-invertebrate species representing seven macrofaunal groups were encountered, of which gastropods were the most abundant in terms of density (similar to 96%) and species composition (similar to 43%), and crustaceans were the least. The structure of the macrofaunal community (in terms of abundance) showed significant differences across spatial (station-wise, sector-wise and region-wise), and temporal scales (month-wise). While macro-invertebrate species composition revealed heterogeneity both station-wise and month-wise but it was found to be homogenous within the sector-wise and region-wise scales. BIO-ENV analysis indicated that salinity together with sediment nature were major abiotic variables associated with observed macro-invertebrate patterns. The results together demonstrated that macro-invertebrate communities are adapted to prevailing environmental conditions of Chilika lagoon; homogeneous and heterogeneous distribution and diversity patterns across multiple spatial scales revealed assemblages distinct to this ecosystem. The multiple scales approach could prove to be useful for ecological monitoring of lagoons.
机译:Chilika是亚洲最大的沿海泻湖,代表着陆地和海洋生态系统之间的复杂过渡区。在这项研究中,基于2013年6月至2015年2月(时间范围)跨Chilika的多个空间尺度方法(按站,部门和区域)对底栖大型无脊椎动物群落结构进行了阐明,包括23个预选站。与测量非生物参数有关。遇到了代表七个大型动物群的62个大型无脊椎动物物种,其中腹足动物的密度(约96%)和物种组成(约43%)最丰富,甲壳类动物最少。大型动物群落的结构(以丰度计)在空间(驻地,部门,区域和区域)和时间尺度(月)上显示出显着差异。虽然大型无脊椎动物物种的组成在站位和月度方面均显示出异质性,但发现在部门级和区域级尺度上是同质的。 BIO-ENV分析表明,盐度和沉积物性质是与观察到的大型无脊椎动物模式相关的主要非生物变量。结果共同表明,大型无脊椎动物群落适应了Chilika泻湖的主要环境条件。跨多个空间尺度的同质异质分布和多样性模式揭示了与该生态系统不同的集合。多尺度方法可能被证明对泻湖的生态监测很有用。

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