Department of Biology, Memorial University of Newfoundland, St John's, Newfoundland and Labrador, A1B 3X9, Canada.
Ecology. 2021 Jul;102(7):e03365. doi: 10.1002/ecy.3365. Epub 2021 May 18.
Local dynamics are influenced by regional processes. Meta-ecology, or the study of spatial flows of energy, materials, and species between local systems, is becoming increasingly concerned with accurate depictions of species movements and the impacts of this movement on landscape-level ecosystem function. Indeed, incorporating diverse types of movement is a major frontier in metacommunity theory. Here, we synthesize literature to demonstrate that the movement of organisms between patches is governed by the interplay between both a species' ability to move and the combined effects of landscape structure and physical flows (termed abiotic controls), which together we refer to as abiotic-dependent species connectivity. For example, two lakes that share geographic proximity may be inaccessible for mobile fish species because they lack a river connecting them (landscape structure), but wind currents may disperse insects between them (physical flows). Empirical evidence suggests that abiotic controls, such as ocean currents, lead to abiotic-dependent species connectivity and that, in nature, this type of connectivity is the rule rather than the exception. Based on this empirical evidence, we introduce a novel mathematical framework to demonstrate how species movement capabilities and abiotic conditions, can interact to influence metacommunity stability. We apply this framework to predict how incorporating abiotic-dependent species connectivity applies to classic empirical examples of aquatic, aquatic-terrestrial, and terrestrial experimental metacommunities. We demonstrate that incorporating abiotic-dependent species connectivity into metacommunity models can lead to a much broader range of dynamics than models previously predicted, including a wider range of metacommunity stability. Our framework fills critical gaps in our basic understanding of organismal movement across landscapes and provides testable predictions for how such common natural phenomena impact landscape-level ecosystem function. Finally, we present future perspectives for further development of meta-ecological theory from questions about fragmentation to ecosystems. Anthropogenic change is not only leading to habitat loss from the damming of rivers to denuding the landscape, but altering the physical flows that have historically connected communities. Thus, recognizing the importance of these processes in tandem with species' movement abilities is critical for predicting and preserving the structure and function of ecological communities.
局部动态受区域过程的影响。元生态学,或研究能量、物质和物种在局部系统之间的空间流动,越来越关注对物种运动的准确描述,以及这种运动对景观水平生态系统功能的影响。事实上,将多种类型的运动纳入元群落理论是一个主要的前沿领域。在这里,我们综合文献证明,生物在斑块之间的移动是由物种移动能力和景观结构以及物理流动(称为非生物控制)的综合影响共同作用决定的,我们将其统称为依赖于非生物的物种连通性。例如,两个共享地理接近性的湖泊可能对移动鱼类物种不可访问,因为它们缺乏连接它们的河流(景观结构),但风可能会在它们之间分散昆虫(物理流动)。实证证据表明,非生物控制因素,如洋流,导致依赖于非生物的物种连通性,而在自然界中,这种类型的连通性是常态而不是例外。基于这一实证证据,我们引入了一个新的数学框架,以展示物种运动能力和非生物条件如何相互作用,从而影响元群落的稳定性。我们将该框架应用于预测将依赖于非生物的物种连通性纳入水生、水生-陆地和陆地实验元群落的经典实例。我们证明,将依赖于非生物的物种连通性纳入元群落模型可以导致比以前预测的更广泛的动态范围,包括更广泛的元群落稳定性。我们的框架填补了我们对生物在景观上运动的基本理解中的关键空白,并为常见的自然现象如何影响景观水平的生态系统功能提供了可测试的预测。最后,我们从对片段化的问题到生态系统,提出了进一步发展元生态学理论的未来展望。人为变化不仅导致河流筑坝导致栖息地丧失,而且改变了历史上连接社区的物理流动。因此,认识到这些过程与物种运动能力同等重要,对于预测和保护生态群落的结构和功能至关重要。