首页> 外文期刊>Oceanography and Marine Biology: An Annual Review >SIMPLE, SCALE-DEPENDENT PATTERNS EMERGE FROM VERY COMPLEX EFFECTS-AN EXAMPLE FROM THE INTERTIDAL MUSSELS MYTILUS GALLOPROVINCIALIS AND PERNA PERNA
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SIMPLE, SCALE-DEPENDENT PATTERNS EMERGE FROM VERY COMPLEX EFFECTS-AN EXAMPLE FROM THE INTERTIDAL MUSSELS MYTILUS GALLOPROVINCIALIS AND PERNA PERNA

机译:极为复杂的效应产生的简单,规模依赖的图案-际斑纹贻贝和百日咳猴的例子

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Understanding species distributions and patterns of coexistence is a basic aim of ecology and fundamental to understanding not only how communities have come to be as they are but also how they will change in the future. This is particularly important when trying to predict biological responses to rapid and extreme changes in environmental conditions. Our perception of community dynamics depends on the temporal and the spatial scales at which we make our observations and the taxonomic resolution we use. Thus, observations and empirical approaches that allow for variability in time and space of multiple, interacting drivers are essential to counteract the assumption that simple patterns of species' arrangement are driven by similarly simple processes. By altering the structure of resident communities, invasive species allow us to observe the development of new distributional equilibria and identify how variation in time and space of biotic and abiotic factors determines patterns of coexistence with native species. Here, we use the example of an invasive and an indigenous intertidal mussel to achieve this. We identify rather simple patterns of distribution of an exceptionally successful marine invasive species, the mussel Mytilus galloprovincialis, in its distribution along the coast of South Africa, examining relevant processes at multiple scales. In particular, we draw together research on its coexistence with an indigenous mussel, Perna perna. Over the last 40 years, Mytilus galloprovincialis has spread along thousands of kilometres of the southern African coast. Mytilus galloprovincialis has now reached at least a temporary equilibrium in its eastern limit and in its pattern of coexistence with the native mussel Perna perna. We synthesize a comprehensive body of literature on these two species that addresses processes occurring from centimetres to thousands of kilometres and from minutes to evolutionary timescales to develop a more robust understanding of the relative contributions of the deterministic and stochastic processes that structure the dynamics of coexistence. The review shows that the development and maintenance of simple distributional patterns emerge from and are maintained by variations in multiple biotic and abiotic interactions that occur at different and sometimes-nested scales. These include species-specific effects of environmental factors, such as not only high temperatures, wave action, desiccation, and sand scour or sand burial but also biological effects such as predation, parasitism, larval supply, and recruitment. Importantly, abiotic conditions can modulate species interactions, including interference and exploitation competition, so that species-specific responses to environmental conditions are important. Viewed across the environmental gradient offered by the intertidal landscape, direct interactions include examples of initial facilitation followed by later competitive exclusion. Although in a state of flux at small scales, the present patterns of distribution and coexistence have been relatively stable at larger scales for decades and reflect place-specific balances among the interacting factors, with different factors assuming prominence in different places. Detailed observation and experimentation are necessary to avoid assuming that species' arrangements emerge from a single driver or a few simple drivers, and this has clear implications for attempts to predict species distributions under conditions of climate change. In addition, the same pattern can emerge for different reasons.
机译:理解物种分布和共存模式是生态学的基本目标,并且不仅是理解社区的原貌,而且是理解社区未来的变化的基础。当试图预测对环境条件快速和极端变化的生物学反应时,这一点尤其重要。我们对社区动态的感知取决于我们进行观测的时间和空间尺度以及我们所使用的分类学分辨率。因此,考虑到多种相互作用的驱动因素在时间和空间上的可变性的观察和经验方法对于抵消假设,即物种排列的简单模式是由类似的简单过程驱动的假设至关重要。通过改变居住社区的结构,入侵物种使我们能够观察到新的分布平衡的发展,并确定生物和非生物因素的时空变化如何确定与本地物种共存的模式。在此,我们以侵入性贻贝和原生潮间贻贝为例。我们确定了非常成功的海洋入侵物种贻贝Mytilus galloprovincialis在南非沿海的分布中的相当简单的分布模式,并从多个角度研究了相关过程。特别是,我们将其与本地贻贝Perna perna共存的研究汇总在一起。在过去的40年中,Mytilus galloprovincialis遍及南部非洲海岸的数千公里。最高省的Mytilus galloprovincialis目前至少在其东部界限和与当地贻贝Perna perna共存的格局中达到了暂时的平衡。我们综合了这两个物种的综合文献,这些文献涉及从厘米到数千公里,从分钟到进化时间尺度的过程,以对构成共存动力学的确定性过程和随机过程的相对贡献有更深入的了解。该综述表明,简单的分布模式的发展和维持是由多种生物和非生物相互作用的变化所产生和维持的,这些相互作用以不同的,有时是嵌套的规模发生。这些包括环境因素对物种的特定影响,例如不仅是高温,波浪作用,干燥,沙尘或沙埋,还包括生物影响,例如掠食,寄生,幼虫供应和募集。重要的是,非生物条件可以调节物种之间的相互作用,包括干扰和开发竞争,因此对环境条件的物种特异性反应非常重要。从潮间带景观所提供的环境梯度来看,直接的相互作用包括最初的促进作用和随后的竞争排斥的例子。尽管目前处于小规模变化的状态,但目前的分布和共存模式在较大规模上已经相对稳定了几十年,反映了相互作用因素之间特定地点的平衡,不同因素在不同地方都具有突出地位。必须进行详细的观察和实验,才能避免假设物种的排列来自单个驱动因素或几个简单驱动因素,并且这对于在气候变化条件下预测物种分布的尝试具有明显的含义。此外,出于不同的原因,可能会出现相同的模式。

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