Marine Biology and Ecology Department, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida, United States of America.
College of Arts, Sciences and Education, Florida International University, Miami, Florida, United States of America.
PLoS One. 2020 Feb 21;15(2):e0229147. doi: 10.1371/journal.pone.0229147. eCollection 2020.
Submerged aquatic vegetation (SAV) communities display complex patch dynamics at seascape scales that are presently poorly understood as most studies of disturbance on SAV habitats have focused on changes in biomass at small, quadrat-level scales. In this study, analyses of remote sensing imagery and population modelling were applied to understand SAV patch dynamics and forecast the fate of these important communities in Biscayne Bay, Miami, Florida, US. We evaluated how the proximity of freshwater canals influences seagrass-dominated SAV patch dynamics and, in turn, how patch-size structure influences the stability of seagrass seascapes under different salinity scenarios. Seagrass fragmentation rates were higher in sites adjacent to freshwater canals compared to sites distant from the influences of freshwater deliveries. Furthermore, we documented a clear trend in patch mortality rates with respect to patch size, with the smallest patches (50 m2) undergoing 57% annual mortality on average. The combination of higher fragmentation rates and the higher mortality of smaller seagrass patches in habitats exposed to pulses of low salinity raises concern for the long-term persistence of seagrass meadows in nearshore urban habitats of Biscayne Bay that are presently targets of Everglades restoration. Our model scenarios that simulated high fragmentation rates resulted in SAV population collapses, regardless of SAV recruitment rates. The combined remote sensing and population modelling approach used here provides evaluation and predictive tools that can be used by managers to track seagrass status and stress-response at seascape levels not available previously for the seagrasses of South Florida.
淹没水生植被 (SAV) 群落的景观尺度斑块动态十分复杂,但目前人们对此仍知之甚少,因为大多数有关 SAV 生境干扰的研究都集中在小尺度、四分体水平上的生物量变化上。在这项研究中,我们应用遥感图像分析和种群建模来了解 SAV 斑块动态,并预测美国佛罗里达州迈阿密比斯坎湾这些重要群落的命运。我们评估了淡水运河的接近程度如何影响海草占主导地位的 SAV 斑块动态,以及斑块大小结构如何在不同盐度情景下影响海草景观的稳定性。与远离淡水输送影响的地点相比,靠近淡水运河的地点的海草破碎化速度更高。此外,我们记录了斑块死亡率与斑块大小之间的明显趋势,其中最小的斑块(50 m2)的平均年死亡率为 57%。在暴露于低盐度脉冲的生境中,较高的破碎化率和较小海草斑块较高的死亡率相结合,这引起了人们对比斯坎湾近岸城市生境中海草草地长期生存的担忧,目前这些生境是大沼泽地恢复的目标。我们模拟高破碎化率的模型情景导致了 SAV 种群崩溃,而不管 SAV 补充率如何。这里使用的遥感和种群建模综合方法提供了评估和预测工具,管理者可以用来跟踪大佛罗里达地区海草的状态和在以前无法获得的景观尺度上的胁迫响应。