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首页> 外文期刊>Ecological indicators >Predicting reef fish connectivity from biogeographic patterns and larval dispersal modelling to inform the development of marine reserve networks
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Predicting reef fish connectivity from biogeographic patterns and larval dispersal modelling to inform the development of marine reserve networks

机译:从生物地理格局和幼虫扩散模型预测礁鱼的连通性,以指导海洋保护区网络的发展

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摘要

Developing networks of no-take marine reserves is often hindered by uncertainty in the extent to which local marine populations are connected to one another through larval dispersal and recruitment (connectivity). While patterns of connectivity can be predicted by larval dispersal models and validated by empirical methods, biogeographic approaches have rarely been used to investigate connectivity at spatial scales relevant to reserve networks (10's-100's of km). Here, species assemblage patterns in coral reef fish were used together with an individual-based model of dispersal of reef fish larvae to infer patterns of connectivity in a similar to 300 km wide region in the Philippines that included the Bohol Sea and adjacent bodies of water. A dominant current flows through the study region, which may facilitate connectivity among >100 no-take reserves. Connectivity was first investigated by analysing data on the presence/absence of 216 species of reef fish and habitat variables across 61 sites. Hierarchical clustering of sites reflecting species assemblage patterns distinguished a major group of sites in the Bohol Sea (Bray-Curtis similarity >70%) from sites situated in adjacent bodies of water (bays, channels between islands and a local sea). The grouping of sites could be partly explained by a combination of degree of embayment, % cover of sand and % cover of rubble (Spearman rank correlation, rho(w) = 0.42). The individual-based model simulated dispersal of reef fish larvae monthly for three consecutive years in the region. The results of simulations, using a range of pelagic larval durations (15-45 days), were consistent with the species assemblage patterns. Sites in the model that showed strongest potential connectivity corresponded to the majority of sites that comprised the Bohol Sea group suggested by hierarchical clustering. Most sites in the model that exhibited weak connectivity were groups of sites which had fish assemblages that were least similar to those in the Bohol Sea group. Concurrent findings from the two approaches suggest a strong influence of local oceanography and geography on broad spatial patterns of connectivity. The predictions can be used as an initial basis to organise existing reserves to form ecologically meaningful networks. This study showed that species assemblage patterns could be a viable supplementary indicator of connectivity if used together with predictions from a larval dispersal model and if the potential effect of habitat on the structuring of species assemblages is taken into consideration. (C) 2016 Elsevier Ltd. All rights reserved.
机译:不确定的发展常常阻碍了不捕捞海洋保护区网络的发展,这些不确定性在于当地海洋种群通过幼体扩散和募集(联结)而相互联系的程度。虽然连通性的模式可以通过幼虫传播模型进行预测,并可以通过经验方法进行验证,但是生物地理学方法很少用于研究与备用网络(千米的10's-100's)相关的空间尺度上的连通性。在这里,珊瑚礁鱼的物种组合模式与基于个体的珊瑚礁鱼幼虫扩散模型一起使用,以推断菲律宾大约300公里宽的区域(包括薄荷海和邻近水域)的连通性模式。主导电流流经研究区域,这可能会促进> 100个禁吃区之间的连通性。首先通过分析关于61个站点中是否存在216种礁石鱼和栖息地变量的数据来研究连通性。反映物种聚集模式的场所的层次聚类将薄荷海中的一大类场所(布雷-科蒂斯相似度> 70%)与邻近水域(海湾,岛屿与局部海域之间的航道)中的场所区分开。地点的分组可以部分通过嵌入程度,沙子覆盖率百分比和碎石覆盖率百分比的组合来解释(Spearman等级相关性,rho(w)= 0.42)。基于个体的模型连续三年模拟该区域珊瑚礁鱼幼体的扩散。使用一系列上层幼体持续时间(15-45天)的模拟结果与物种组装模式一致。模型中显示出最强潜在连接性的站点对应于由分层聚类建议的包含薄荷海组的大多数站点。该模型中显示出弱连通性的大多数站点是鱼群与保和海群最不相似的站点群。两种方法的同时发现表明,当地海洋学和地理学对广泛的连通性空间格局有很大影响。这些预测可以作为组织现有储备以形成具有生态意义的网络的初步基础。这项研究表明,如果将物种组合模式与幼虫传播模型的预测一起使用,并且考虑到栖息地对物种组合结构的潜在影响,则可以作为连通性的可行补充指标。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ecological indicators 》 |2016年第7期| 534-544| 共11页
  • 作者单位

    James Cook Univ, Coll Marine & Environm Sci, Townsville, Qld, Australia|James Cook Univ, Australian Res Council, Ctr Excellence Coral Reef Studies, Townsville, Qld, Australia|Silliman Univ, Angelo King Ctr Res & Environm Management SUAKCRE, Dumaguete, Negros Oriental, Philippines;

    Silliman Univ, Angelo King Ctr Res & Environm Management SUAKCRE, Dumaguete, Negros Oriental, Philippines|Old Dominion Univ, Dept Biol Sci, Norfolk, VA USA;

    Tokyo Inst Technol, Meguro Ku, Ookayama Campus, Ookayama, Tokyo, Japan|Univ Philippines, Inst Marine Sci, Quezon City, Philippines;

    Univ Philippines, Inst Marine Sci, Quezon City, Philippines;

    James Cook Univ, Coll Marine & Environm Sci, Townsville, Qld, Australia|James Cook Univ, Australian Res Council, Ctr Excellence Coral Reef Studies, Townsville, Qld, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Recruitment; Coral reefs; Seascape; Biogeography; Marine conservation;

    机译:招募;珊瑚礁;海景;生物地理学;海洋保护;

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