相互作用环境解释了沿环境梯度的简单食物网中物种的表现

Q2 Environmental Science
J. Ellers, A. T. Dias, M. Berg
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引用次数: 9

摘要

物种在一个复杂的关系网络中相互作用,这个网络可以被建模为相互作用环境,即物种与之相互作用的生物背景。交互环境是由对给定交互重要的特征的频率分布给出的;因此,这种方法提供了生物性能、非生物环境条件和种间相互作用之间的直接联系。在本研究中,我们研究了沿环境梯度的相互作用环境如何影响组分物种的性能。我们具体解决了两个问题:1)相互作用环境是否会使物种的表现偏离最佳生态位?2)与相互作用环境相比,具有不同特征值的物种是否具有更高的入侵潜力?我们开发了一个模型,其中目标物种对环境梯度表现出给定的性能反应曲线,即通才或专才,与捕食者和竞争对手相互作用。将该模型的预测结果与绿色海滩生态系统中沿盐度梯度的物种丰度格局的实证结果进行了比较。绿滩的非生物因子具有较强的梯度和空间变异性,其食物网相对简单,主要由线虫及其捕食者蜘蛛组成。首先,我们的研究结果表明,相互作用环境可以取代物种从其基本生态位最优。这导致丰度模式不能仅通过物种性能响应曲线来预测,强调了包括生态相互作用的重要性。其次,如果捕食者或竞争对手与目标物种有相同的偏好,物种就无法入侵它们偏好的梯度区域。未来的研究应该探索相互作用环境的概念是否可以在营养水平上推广,并寻找对决定生态相互作用结果重要的特征。此外,识别相关的响应性状及其频率分布,结合相互作用环境中物种的性状可塑性,可能是将进化原理与生态网络联系起来的一步,反之亦然。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction Milieu Explains Performance of Species in Simple Food Webs along an Environmental Gradient
Species interact with each other in a complex network of relationships that can be modeled as an interaction milieu, i.e. a biotic background with which the species interacts. The interaction milieu is given by the frequency distribution of traits that are important to a given interaction; hence this approach provides a direct link between organism performance, abiotic environmental conditions and interspecific interactions. In this study, we investigate how performance of component species is affected by the interaction milieu along an environmental gradient. We specifically addressed two questions: 1) can the interaction milieu shift species performance away from the niche optimum?, and 2) do species have a higher invasive potential if they have divergent trait values compared to the interaction milieu? We developed a model where a target species showing a given performance response curve to an environmental gradient, i.e., generalist or specialist, interacts with predators and competitors. The predictions of the model were compared with empirical findings on the abundance patterns of species along a salinity gradient in a green beach ecosystem. Green beaches are characterized by their strong gradients and spatial variability in abiotic factors, and their relatively simple food web consisting of Collembola species and their spider predators. First, our results showed that interaction milieu can displace species from their fundamental niche optimum. This led to abundance patterns that cannot be predicted by species performance response curves alone, emphasizing the importance to include ecological interactions. Second, species failed to invade their preferred part of the gradient if predators or competitors shared the target species' preference. Future studies should explore if the concept of interaction milieu can be generalized across trophic levels, and search for traits that are important on deciding the outcome of ecological interactions. Furthermore, the identification of the relevant response traits and their frequency distribution, in combination with trait plasticity of species in interaction milieus might be a step forward to link evolutionary principles to ecological networks, and vice versa.
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来源期刊
Open Ecology Journal
Open Ecology Journal Environmental Science-Environmental Science (all)
自引率
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期刊介绍: The Open Ecology Journal is an open access online journal which embraces the trans-disciplinary nature of ecology, seeking to publish original research articles, reviews, letters and guest edited single topic issues representing important scientific progress from all areas of ecology and its linkages to other fields. The journal also focuses on the basic principles of the natural environment and its conservation. Contributions may be based on any taxa, natural or artificial environments, biodiversity, spatial scales, temporal scales, and methods that advance this multi-faceted and dynamic science. The Open Ecology Journal also considers empirical and theoretical studies that promote the construction of a broadly applicable conceptual framework or that present rigorous tests or novel applications of ecological theory.
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