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Hydrologic alterations associated with urbanization can weaken connections between riparian zones, streams, and uplands, leading to negative effects on the ability of riparian zones to intercept pollutants carried by surface water runoff and groundwater flow such as nitrate and phosphate. We analyzed the monthly water table as an indicator of riparian connectivity, along with groundwater NO3 and PO4concentrations, at four riparian sites within and near the Gwynns Falls Watershed in Baltimore, MD, from 1998 to 2018. The sites included one forested reference site (Oregon Ridge), two suburban riparian sites (Glyndon and Gwynnbrook), and one urban riparian site (Cahill) with at least two locations and four monitoring wells, located 5 m from the center of the stream, at each site. Results show an increase in connectivity as indicated by shallower water tables at two of the four sites studied: Glyndon and Cahill. This change in connectivity was associated with decreases in NO3 at Glyndon and increases in PO4 at Glyndon, Gwynnbrook, and Cahill. These changes are consistent with previous studies showing that shallower water table depths increase anaerobic conditions, which increase NO3 consumption by denitrification and decrease PO4 retention. The absence of change in the forested reference site, where climate would be expected to be the key driver, suggests that other drivers, including best management practices and stream restoration projects, could be affecting riparian water tables at the two suburban sites and the one urban site. Further research into the mechanisms behind these changes and site‐specific dynamics is needed. 

ABSTRACT Animations permit visualisation of spatiotemporal data for a range of purposes. The example application documented here uses a Geographic Information System workflow to automate map creation of changing water temperatures along the length of a 16‐km stream network, using data collected by 204 temperature sensors installed at 50–100 m intervals with 5‐min time steps. Transforming static data sets into dynamic visual representations enhances the ability to detect patterns, trends, and anomalies that might be overlooked in traditional charts or graphs. This is demonstrated by the video we produced, which shows rapid downstream propagation of a series of temperature pulses in response to a short‐duration summer storm. Integration of these elements into data analysis provides a compelling way to communicate findings to a broader audience, enriching the interpretive power and communicative effectiveness of spatiotemporal data. 

Abstract The Earth's population will become more than 80% urban during this century. This threshold is often regarded as sufficient justification for pursuing urban ecology. However, pursuit has primarily focused on building empirical richness, and urban ecology theory is rarely discussed. The Baltimore Ecosystem Study (BES) has been grounded in theory since its inception and its two decades of data collection have stimulated progress toward comprehensive urban theory. Emerging urban ecology theory integrates biology, physical sciences, social sciences, and urban design, probes interdisciplinary frontiers while being founded on textbook disciplinary theories, and accommodates surprising empirical results. Theoretical growth in urban ecology has relied on refined frameworks, increased disciplinary scope, and longevity of interdisciplinary interactions. We describe the theories used by BES initially, and trace ongoing theoretical development that increasingly reflects the hybrid biological–physical–social nature of the Baltimore ecosystem. The specific mix of theories used in Baltimore likely will require modification when applied to other urban areas, but the developmental process, and the key results, will continue to benefit other urban social–ecological research projects.