Department of Evolution and Ecology, Center for Population Biology, University of California, One Shields Avenue, Davis, California, 95616, USA.
North Carolina Coastal Reserve and National Estuarine Research Reserve, Beaufort, North Carolina, 28516, USA.
Ecol Appl. 2018 Jun;28(4):897-909. doi: 10.1002/eap.1694. Epub 2018 Apr 26.
Positive density dependence (i.e., Allee effects) can create a threshold of population states below which extinction of the population occurs. The existence of this threshold, which can often be a complex, multi-dimensional surface, rather than a single point, is of particular importance in degraded populations for which there is a desire for successful restoration. Here, we incorporated positive density dependence into a closed, size- and age-structured integral projection model parameterized with empirical data from an eastern oyster, Crassostrea virginica, population in Pamlico Sound, North Carolina, USA. To understand the properties of the threshold surface, and implications for restoration, we introduced a general method based on a linearization of the threshold surface at its unique, unstable equilibrium. We estimated the number of oysters of a particular age (i.e., stock enhancement), or the surface area of dead shell substrate required (i.e., habitat enhancement) to move a population from an extinction trajectory to a persistence trajectory. The location of the threshold surface was strongly affected by changes in the amount of local larval retention. Traditional stock enhancement with oysters <1 yr old (i.e., spat) required three times as many oysters relative to stock enhancement with oysters between ages 3 and 7 yr old, while the success of habitat enhancement depended upon the initial size distribution of the population. The methodology described here demonstrates the importance of considering positive density dependence in oyster populations, and also provides insights into effective management and restoration strategies when dealing with a high dimensional threshold separating extinction and persistence.
正密度依赖性(即阿利效应)可以在种群状态低于某个阈值时导致种群灭绝。这个阈值的存在通常是一个复杂的、多维的表面,而不是一个单点,对于退化种群的成功恢复尤为重要。在这里,我们将正密度依赖性纳入了一个封闭的、大小和年龄结构的积分预测模型中,该模型使用了来自美国北卡罗来纳州帕姆利科湾的东方牡蛎(Crassostrea virginica)种群的经验数据进行参数化。为了了解阈值表面的性质及其对恢复的影响,我们引入了一种基于阈值表面在其唯一不稳定平衡点处线性化的通用方法。我们估计了需要特定年龄的牡蛎数量(即种群补充)或需要的死壳基质表面积(即栖息地补充),以使种群从灭绝轨迹转移到持续轨迹。阈值表面的位置受到当地幼虫保留量变化的强烈影响。与使用 3-7 岁牡蛎的种群补充相比,使用小于 1 岁的牡蛎(即幼贝)的传统种群补充需要多三倍的牡蛎,而栖息地补充的成功取决于种群的初始大小分布。这里描述的方法表明了在牡蛎种群中考虑正密度依赖性的重要性,并且在处理区分灭绝和持续的高维阈值时,还为有效的管理和恢复策略提供了思路。