Comprehensive Everglades Restoration Plan (CERP) objectives include the return of more natural salinity regimes to the bays and estuaries of southern Florida (U.S.A.). We examined for spatiotemporal patterns in rainwater killifish (Lucania parva) density and size with emphasis on relations with salinity, salinity variation, submerged aquatic vegetation (SAV), temperature, and depth. Using linear quantile mixed models (LQMM) and cluster analyses, we analyzed 18 consecutive wet‐dry seasons (9 years) of enclosure trap data from 44 fixed stations along mainland shoreline of southern Biscayne Bay, Florida. The LQMM results suggested that SAV was the strongest influencing, and (potentially) most limiting, habitat variable on killifish density, and that decreases in mean salinity and salinity variation may result in higher killifish densities in our study domain. Killifish size‐habitat relationships were few. Cluster analysis of stations, based on killifish densities across time, failed to reveal clear spatial fish density gradients, consistent density hot‐spots, or grouping according to median habitat conditions. However, cluster analysis of seasons, based on killifish densities across space, indicated that high densities were associated with the wet season and low densities with the dry, although this depended on year. Our analyses suggest that realization of lower salinities and lower salinity variation in our study domain, if they are not accompanied by SAV decreases, may enhance killifish populations and/or their role as prey. Owing to its high stress ‐tolerance and extreme variability in density, L. parva is not an ideal indicator species of CERP‐modified salinity conditions, but warrants tracking as restoration activities ensue.

中文翻译：

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评价雨水致胜鱼（Lucania parva）作为大沼泽地恢复的指标

大沼泽地综合修复计划（CERP）的目标包括将更多的自然盐度制度归还给佛罗里达州南部（美国）的海湾和河口。我们检查了雨水比目鱼（Lucania parva）的时空分布）密度和大小，重点是与盐度，盐度变化，水下水生植物（SAV），温度和深度的关系。我们使用线性分位数混合模型（LQMM）和聚类分析，分析了佛罗里达州比斯坎湾南部大陆海岸线上44个固定站的18个连续湿季（9年）围堰圈闭数据。LQMM结果表明，SAV是影响（或潜在地）限制性最大的栖息地变量，对kill鱼密度具有影响，并且平均盐度和盐度变化的减少可能会导致我们研究领域中较高的kill鱼密度。illi鱼的大小－栖息地关系很少。根据不同时期的鲑鱼密度对站点进行聚类分析，未能揭示清晰的空间鱼类密度梯度，一致的密度热点，或根据中位栖息地条件进行分组。但是，根据跨空间的河鱼密度对季节进行的聚类分析表明，高密度与湿季有关，而低密度与干季有关，尽管这取决于年份。我们的分析表明，在我们研究范围内实现的较低盐度和较低盐度变化，如果不伴随SAV下降，可能会增强kill鱼种群和/或它们作为猎物的作用。由于其高耐压性和密度的极大变化，我们的分析表明，在我们研究范围内实现的较低盐度和较低盐度变化，如果不伴随SAV下降，可能会增强kill鱼种群和/或它们作为猎物的作用。由于其高耐压性和密度的极大变化，我们的分析表明，在我们研究范围内实现的较低盐度和较低盐度变化，如果不伴随SAV下降，可能会增强kill鱼种群和/或它们作为猎物的作用。由于其高耐压性和密度的极大变化，大号。parva不是CERP修改过的盐度条件的理想指示物种，但是随着恢复活动的进行，有必要进行跟踪。