U.S. Geological Survey, Wetland and Aquatic Research Center, Fort Lauderdale, FL, United States of America.
Everglades National Park, National Park Service, Homestead, FL, United States of America.
PLoS One. 2021 Jan 28;16(1):e0245973. doi: 10.1371/journal.pone.0245973. eCollection 2021.
Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers within the Everglades ecosystem rely on ecological models forecasting indicator wildlife response to changes in the management of water flows within the system. One such indicator of ecosystem health, the presence of wading bird communities on the landscape, is currently assessed using three species distribution models that assume perfect detection and report output on different scales that are challenging to compare against one another. We sought to use current advancements in species distribution modeling to improve models of Everglades wading bird distribution. Using a joint species distribution model that accounted for imperfect detection, we modeled the presence of nine species of wading bird simultaneously in response to annual hydrologic conditions and landscape characteristics within the Everglades system. Our resulting model improved upon the previous model in three key ways: 1) the model predicts probability of occupancy for the nine species on a scale of 0-1, making the output more intuitive and easily comparable for managers and decision-makers that must consider the responses of several species simultaneously; 2) through joint species modeling, we were able to consider rarer species within the modeling that otherwise are detected in too few numbers to fit as individual models; and 3) the model explicitly allows detection probability of species to be less than 1 which can reduce bias in the site occupancy estimates. These improvements are essential as Everglades restoration continues and managers require models that consider the impacts of water management on key indicator wildlife such as the wading bird community.
佛罗里达州大沼泽地是美国境内一个大型湿地生态系统,其恢复工作是全球正在进行的最大规模的恢复项目之一。大沼泽地生态系统中的决策者和管理者依赖于生态模型,这些模型预测指示野生动物对系统内水流管理变化的反应。作为生态系统健康的一个指标,水鸟在景观中的存在目前是通过三种物种分布模型来评估的,这些模型假设完美的检测和报告输出,且在不同的尺度上,难以相互比较。我们试图利用物种分布模型的最新进展来改进大沼泽地涉禽分布模型。我们使用了一个联合物种分布模型,该模型考虑了不完全检测,根据大沼泽地系统中的年度水文条件和景观特征,同时对 9 种涉禽的存在情况进行建模。与之前的模型相比,我们的模型在三个关键方面得到了改进:1)该模型预测了 9 种物种在 0-1 之间的占有概率,使输出结果对管理者和决策者来说更直观,也更容易进行比较,因为他们必须同时考虑多个物种的反应;2)通过联合物种建模,我们能够考虑到建模中更罕见的物种,这些物种否则会因为数量太少而无法作为独立模型进行检测;3)该模型明确允许物种的检测概率小于 1,这可以减少在站点占有估计中的偏差。随着大沼泽地的恢复工作不断推进,管理者需要考虑水管理对关键指示性野生动物(如涉禽群落)的影响,这些改进至关重要。