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首页> 外文期刊>Marine ecology progress series >Sampling patchily distributed taxa: a case study using cost-benefit analyses for sponges and ascidians in coastal lakes of New South Wales, Australia
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Sampling patchily distributed taxa: a case study using cost-benefit analyses for sponges and ascidians in coastal lakes of New South Wales, Australia

机译:抽样分布的分类单元:使用成本效益分析对澳大利亚新南威尔士州沿海湖泊的海绵和海鞘进行个案研究

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摘要

Estuaries worldwide are under increasing threat from human impacts. Because much of their fauna remains unstudied and in many cases undescribed, these systems present real challenges for effective management. In eastern Australia the study of estuarine fauna is often further complicated by its patchy distributions. This is particularly the case for assemblages of sessile invertebrates in coastal saline lakes. This study quantified distributions of sponges and ascidians at a hierarchy of spatial scales in the seagrass meadows of 2 coastal saline lakes in New South Wales, Australia. Nine species of sponge, many of which were undescribed, and 3 species of ascidians were found. Nested analyses of variance were used to identify spatial scales at which variation was significant. Most sponges and ascidians were very patchily distributed at a range of spatial scales from 10s of metres up to 100s of kilometres. The composition of assemblages differed greatly between the 2 lakes. In addition, unlike other published examples of cost-benefit analyses, in the present study very few taxa were widespread over the larger spatial scales. Cost-benefit analyses done to determine the optimal sampling design for future experiments revealed inclusion of patchily distributed taxa in analyses could improve the overall precision of sampling.
机译:全世界的河口正受到人类影响的日益严重的威胁。由于它们的大部分动物种类尚未研究,在许多情况下尚未描述,因此这些系统为有效管理提出了真正的挑战。在澳大利亚东部,由于斑驳的分布,对河口动物群的研究往往更加复杂。在沿海盐湖中无脊椎动物的集合体尤其如此。这项研究量化了在澳大利亚新南威尔士州的两个沿海盐湖海草草地上,海绵和海鞘在空间尺度上的分布。共有9种海绵,其中许多没有描述,发现了3种海鞘。嵌套的方差分析用于确定变化显着的空间尺度。大多数海绵和海鞘分布在从几十米到几百公里的空间尺度上。两个湖泊之间的组合物组成差异很大。此外,与其他已发表的成本效益分析示例不同,在本研究中,很少有分类单元在较大的空间范围内分布。为确定未来实验的最佳采样设计而进行的成本效益分析表明,在分析中包含分布不规则的分类单元可以提高采样的整体精度。

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