National Oceanography Centre Southampton, University of Southampton, European Way, Southampton, SO14 3ZH, UK; British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge, CB3 OET, UK.
British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge, CB3 OET, UK.
Mar Environ Res. 2020 Sep;160:105025. doi: 10.1016/j.marenvres.2020.105025. Epub 2020 May 25.
Disturbance is a key factor in most natural environments and, globally, disturbance regimes are changing, driven by increased anthropogenic influences, including climate change. There is, however, still a lack of understanding about how disturbance interacts with species dispersal capacity to shape marine assemblage structure. We examined the impact of ice scour disturbance history (2009-2016) on the nearshore seafloor in a highly disturbed region of the Western Antarctic Peninsula by contrasting the response of two groups with different dispersal capacities: one consisting of high-dispersal species (mobile with pelagic larvae) and one of low-dispersal species (sessile with benthic larvae). Piecewise Structural Equation Models were constructed to test multi-factorial predictions of the underlying mechanisms, based on hypothesised responses to disturbance for the two groups. At least two or three disturbance factors, acting at different spatial scales, drove assemblage composition. A comparison between both high- and low-dispersal models demonstrated that these mechanisms are dispersal dependent. Disturbance should not be treated as a single metric, but should incorporate remote and direct disturbance events with consideration of taxa-dispersal and disturbance legacy. These modelling approaches can provide insights into how disturbance shapes assemblages in other disturbance regimes, such as fire-prone forests and trawl fisheries.
干扰是大多数自然环境的关键因素,在全球范围内,由于人为影响(包括气候变化)的增加,干扰模式正在发生变化。然而,人们仍然缺乏关于干扰如何与物种扩散能力相互作用来塑造海洋组合结构的理解。我们通过对比两组具有不同扩散能力的物种来研究冰蚀干扰历史(2009-2016 年)对南极半岛西部高度干扰区域近岸海底的影响:一组由高扩散物种(具有浮游幼虫的移动物种)组成,另一组由低扩散物种(具有底栖幼虫的固着物种)组成。基于对两组物种的干扰响应假设,构建了分段结构方程模型来检验潜在机制的多因素预测。至少有两个或三个干扰因素,以不同的空间尺度作用,驱动了组合的组成。对高和低扩散模型的比较表明,这些机制是扩散依赖的。干扰不应被视为单一指标,而应包含远程和直接的干扰事件,并考虑分类群-扩散和干扰遗留的因素。这些建模方法可以深入了解干扰如何在其他干扰模式(如易发生火灾的森林和拖网渔业)中塑造组合。