College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia.
Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, 8000 North Ocean Drive, Dania Beach, Florida, 33004, USA.
Ecology. 2019 Aug;100(8):e02730. doi: 10.1002/ecy.2730. Epub 2019 May 17.
Models of dispersal potential are required to predict connectivity between populations of sessile organisms. However, to date, such models do not allow for time-varying rates of acquisition and loss of competence to settle and metamorphose, and permit only a limited range of possible survivorship curves. We collect high-resolution observations of coral larval survival and metamorphosis, and apply a piecewise modeling approach that incorporates a broad range of temporally varying rates of mortality and loss of competence. Our analysis identified marked changes in competence loss and mortality rates, the timing of which implicates developmental failure and depletion of energy reserves. Asymmetric demographic rates suggest more intermediate-range dispersal, less local retention, and less long-distance dispersal than predicted by previously employed non-piecewise models. Because vital rates are likely temporally asymmetric, at least for nonfeeding broadcast-spawned larvae, piecewise analysis of demographic rates will likely yield more reliable predictions of dispersal potential.
需要扩散潜力模型来预测固着生物种群之间的连通性。然而,迄今为止,这些模型不允许获得和丧失定居和变态能力的速率随时间变化,并且只允许有限范围的可能生存曲线。我们收集了珊瑚幼虫存活和变态的高分辨率观测数据,并应用了一种分段建模方法,该方法包含了广泛的随时间变化的死亡率和丧失能力的速率。我们的分析确定了能力丧失和死亡率的明显变化,其时间暗示了发育失败和能量储备的耗尽。不对称的人口率表明比以前使用的非分段模型预测的中程扩散更多,本地保留更少,远程扩散更少。由于至少对于非摄食的广播产卵幼虫来说,重要的比率可能随时间不对称,因此分段分析人口率可能会更可靠地预测扩散潜力。