Department of Ecology and Evolutionary Biology and Princeton Environmental Institute, 106 Guyot Hall, Princeton University, Princeton, NJ 08544-1003, USA.
Curr Biol. 2010 Feb 9;20(3):215-22. doi: 10.1016/j.cub.2009.11.073. Epub 2010 Jan 28.
Human fishing activities are negatively altering marine ecosystems in many ways [1, 2], but scavenging animals such as seabirds are taking advantage of such activities by exploiting fishery discards [3-5]. Despite the well-known impact of fisheries on seabird population dynamics [6-10], little is known about how discard availability affects seabird movement patterns. Using scenarios with and without trawling activity, we present evidence that fisheries modify the natural way in which two Mediterranean seabirds explore the seascape to look for resources during the breeding season. Based on satellite tracking data and a mathematical framework to quantify anomalous diffusion phenomena, we show how the interplay between traveling distances and pause periods contributes to the spatial spreading of the seabirds at regional scales (i.e., 10-250 km). When trawlers operate, seabirds show exponentially distributed traveling distances and a strong site fidelity to certain foraging areas, the whole foraging process being subdiffusive. In the absence of trawling activity, the site fidelity increases, but the whole movement pattern appears dominated by rare but very large traveling distances, making foraging a superdiffusive process. Our results demonstrate human involvement on landscape-level behavioral ecology and provide a new ecosystemic approach in the study of fishery-seabird interactions.
人类的捕鱼活动正在多方面对海洋生态系统产生负面影响[1,2],但像海鸟这样的食腐动物却利用这些活动,来利用渔业废弃物[3-5]。尽管众所周知渔业对海鸟种群动态有影响[6-10],但人们对废弃渔具的可获得性如何影响海鸟的运动模式知之甚少。通过有和没有拖网活动的场景,我们提供的证据表明,渔业改变了地中海两种海鸟在繁殖季节寻找资源时探索海洋景观的自然方式。基于卫星跟踪数据和一个量化异常扩散现象的数学框架,我们展示了旅行距离和停顿时间之间的相互作用如何导致海鸟在区域尺度(即 10-250 公里)上的空间扩散。当拖网船作业时,海鸟的旅行距离呈指数分布,对某些觅食区有很强的地点忠诚度,整个觅食过程呈亚扩散。在没有拖网活动的情况下,地点忠诚度增加,但整个运动模式似乎主要由罕见但非常大的旅行距离主导,使觅食成为一种超扩散过程。我们的研究结果证明了人类对景观水平行为生态学的参与,并为渔业-海鸟相互作用的研究提供了一种新的生态系统方法。