A systematic data analytics was employed to determine the relative linkages of stream water quality and environmental health with the land use and hydrologic drivers in the coastal-urban watersheds of southeast Florida. Power law-based partial least squares regression models were developed to reliably estimate the linkages by appropriately resolving multicollinearity (Nash-Sutcliffe efficiency = 0.72-0.95). The analytics indicated Everglades as the external and the largest source of total nitrogen (TN) in the coastal-urban streams for both wet (June-October) and dry (November-May) seasons. The "external driver" exhibited 1.5-2 times stronger control on stream TN than that of the watershed "land use," "hydrology," and the "upstream reach" contributions. In contrast, Everglades appeared to be a minor source of in-stream total phosphorus (TP), which was predominantly controlled by the internal watershed processes. TP was most strongly linked with the upstream reach concentrations and watershed land uses in the wet and dry seasons, respectively. Despite the predominantly built-up fraction (74%) of the study area, agricultural land was the most substantial watershed source of in-stream nutrients. The linkages of algal biomass (Chl a) with the drivers indicated TP as the limiting nutrient. Stream dissolved oxygen was most strongly influenced by the adjacent groundwater depth and watershed land uses, respectively, in the wet and dry seasons. The estimated relative linkages and insights would be useful to identify the management targets and priorities to achieve healthy coastal-urban stream ecosystems in southeast Florida and around the world.
Keywords: Florida; coastal‐urban streams; data analytics; hydrology; land uses; water quality.
©2017. The Authors.