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Complex metacommunity structure for benthic invertebrates in a low‐diversity coastal system

机译:低多样性沿海系统底栖无脊椎动物的复杂元社区结构

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AbstractThe majority of studies in metacommunity ecology have focused on systems other than marine benthic ecosystems, thereby providing an impetus to broaden the focus of metacommunity research to comprise marine systems. These systems are more open than many other systems and may thus exhibit relatively less discrete patterns in community structure across space. Metacommunity structure of soft-sediment benthic invertebrates was examined using a fine-grained (285 sites) data set collected during one summer across a large spatial extent (1700 km2). We applied the elements of metacommunity structure (EMS) approach, allowing multiple hypothesis of variation in community structure to be tested. We demonstrated several patterns associated with environmental variation and associated processes that could simultaneously assemble species to occur at the sites. A quasi-Clementsian pattern was observed frequently, suggesting interdependent ecological relationships among species or similar response to an underlying environmental gradient across sites. A quasi-nested clumped species loss pattern was also observed, which suggests nested habitat specialization. Species richness declined with depth (from 0.5 to 44.8 m). We argue that sensitive species may survive in shallower water, which are more stable with regard to oxygen conditions and present greater habitat complexity, in contrast to deeper waters, which may experience periodic disturbance due to hypoxia. Future studies should better integrate disturbance in terms of temporal dynamics and dispersal rates in the EMS approach. We highlight that shallow water sites may act as sources of recruitment to deeper water sites that are relatively more prone to periodic disturbances due to hypoxia. However, these shallow sites are not currently monitored and should be better prioritized in future conservation strategies in marine systems.
机译:摘要元社区生态学的大多数研究都集中在海洋底栖生态系统以外的系统上,从而为将元社区研究的重点扩大到包括海洋系统提供了动力。这些系统比许多其他系统更开放,因此在整个空间的社区结构中可能表现出相对较少的离散模式。使用一个夏季在大空间范围内(1700 km 2 )收集的细粒度(285个站点)数据集检查了软沉积底栖无脊椎动物的元群落结构。我们应用了元社区结构(EMS)方法的元素,允许测试社区结构变化的多种假设。我们展示了与环境变化和相关过程相关的几种模式,这些模式可以同时组装物种以发生在现场。经常观察到准克莱门斯模式,这表明物种之间相互依存的生态关系或对跨站点潜在环境梯度的类似响应。还观察到准嵌套的丛生物种丧失模式,这表明巢生境专业化。物种丰富度随深度下降(从0.5降至44.8 m)。我们认为,敏感物种可能会在较浅的水中生存,而较浅的水中由于缺氧而可能会出现周期性干扰,而较浅的水中相对于氧气条件而言更稳定,并且呈现更大的栖息地复杂性。未来的研究应从EMS方法的时间动态和扩散速率方面更好地整合干扰。我们着重指出,浅水区可能是较深水区的招募来源,而深水区由于缺氧而相对容易发生周期性干扰。但是,目前尚未对这些浅水区进行监测,因此应在海洋系统的未来保护策略中优先考虑这些浅水区。

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