Zhang Qian, Bostic Joel T, Sabo Robert D
University of Maryland Center for Environmental Science, Annapolis, MD, United States of America.
University of Maryland Center for Environmental Science, Frostburg, MD, United States of America.
Environ Res Lett. 2023 Dec 1;19(1):014012. doi: 10.1088/1748-9326/ad0d3c.
Reduction of total phosphorus (TP) loads has long been a management focus of Chesapeake Bay restoration, but riverine monitoring stations have shown mixed temporal trends. To better understand the regional patterns and drivers of TP trends across the Bay watershed, we compiled and analyzed TP load data from 90 non-tidal network stations using clustering and random forest (RF) approaches. These stations were categorized into two distinct clusters of short-term (2013-2020) TP load trends, i.e. monotonic increase ( = 35) and monotonic decline ( = 55). RF models were developed to identify likely regional drivers of TP trend clusters. Reductions in point sources and agricultural nonpoint sources (i.e. fertilizer) both contributed to water-quality improvement in our period of analysis, thereby demonstrating the effectiveness of nutrient management and the importance of continuing such efforts. In addition, declining TP trends have a larger chance to occur in carbonate areas but a smaller chance in Coastal Plain areas, with the latter likely reflecting the effect of legacy P. To provide spatially explicit information, TP trend clusters were predicted for the entire watershed at the scale of river segments, which are more directly relevant to watershed planning. Among the 975 river segments, 544 (56%) and 431 (44%) were classified as 'monotonic increase' and 'monotonic decrease', respectively. Furthermore, these predicted TP trend clusters were paired with our previously published total nitrogen (TN) trend clusters, showing that TP and TN both declined in 185 segments (19%) and neither declined in 337 segments (35%). Broadly speaking, large-scale nutrient reduction efforts are underway in many regions to curb eutrophication. Water-quality responses and drivers may differ among systems, but our work provides important new evidence on the effectiveness of management efforts toward controlling point and nonpoint sources.
长期以来,减少总磷(TP)负荷一直是切萨皮克湾恢复工作的管理重点,但河流监测站显示出的时间趋势各不相同。为了更好地了解整个海湾流域TP趋势的区域模式和驱动因素,我们使用聚类和随机森林(RF)方法,汇编并分析了90个非潮汐网络站点的TP负荷数据。这些站点被分为短期(2013 - 2020年)TP负荷趋势的两个不同聚类,即单调增加(n = 35)和单调下降(n = 55)。开发了RF模型来识别TP趋势聚类可能的区域驱动因素。在我们的分析期间,点源和农业面源(即肥料)的减少都有助于水质改善,从而证明了养分管理的有效性以及持续此类努力的重要性。此外,TP趋势下降在碳酸盐地区出现的可能性较大,而在沿海平原地区出现的可能性较小,后者可能反映了遗留磷的影响。为了提供空间明确的信息,在河段尺度上对整个流域的TP趋势聚类进行了预测,这与流域规划更直接相关。在975个河段中,分别有544个(56%)和431个(44%)被归类为“单调增加”和“单调下降”。此外,这些预测的TP趋势聚类与我们之前发表的总氮(TN)趋势聚类配对,结果表明,185个河段(19%)的TP和TN都有所下降,337个河段(35%)的TP和TN都没有下降。从广义上讲,许多地区正在进行大规模的养分减少努力以遏制富营养化。不同系统的水质响应和驱动因素可能不同,但我们的工作为控制面源和点源的管理努力的有效性提供了重要的新证据。