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Abstract The species area relationship is a classic ecological law describing the relationship between habitat increase and the number of species. Species area relationships are resoundingly positive across macrobes such as plants and animals, and emerge through non-exclusive stochastic and deterministic processes including changes in immigration and extinction, drift, and environmental heterogeneity. Due to unique attributes of the microbial lifestyle, they may not abide by similar rules as macrobes, especially when it comes to spatial scaling. We predict that host-associated microbiomes will exhibit shallower species area relationships than free-living microbiomes due to strong host filtering, and that the species area relationships of bacteria will be shallower than fungi due primarily to differences in dispersal ability. We test these predictions in a relatively simple field system where bromeliad phytotelmata comprise aquatic ecosystems that support invertebrates and environmental substrates such as detritus. Larger phytotelmata generate larger habitat islands for microbiomes allowing us to explicitly examine their species area relationships. We find that the species area relationships of free-living and host-associated microbiomes differ, as do those of microbiome members. By assessing the relationship between environmental conditions and richness, and measuring diversity across scales, we posit that these observed differences in species area relationships are owed to differences in realized niches and dispersal abilities among microbes. These findings highlight that the classic laws of biological spatial scaling do not necessarily accurately represent microbiomes, and that the influence of area on diversity appears to be more important for some microbiomes and microbes than others. 

Urban stormwater management is increasingly a challenge due to land use change, aging infrastructure, and climate‐driven precipitation variability. Likewise, maintaining regulatory compliance for stormwater permits is becoming more difficult. This study develops and deploys stormwater sensors using an Internet of Things‐based monitoring framework on the University of Maryland campus, a spatially compact but land use diverse testbed, designed to support both compliance and adaptive planning. Across three campus outfalls for stormwater quantity and quality data collection, the study investigates how hyperlocal precipitation and catchment characteristics affect stormwater flow and identifies key patterns in stormwater flow and quality through continuous monitoring. Findings reveal correlations between runoff behaviors and catchment characteristics (i.e., imperviousness) and highlight site‐specific associations between runoff flow and water quality indicators (pH, turbidity, conductivity, and dissolved oxygen). These associations can be leveraged as indicators of flood and pollution risk for management and planning purposes. This study also explores the role of campus stakeholders in guiding a “smart” system design, deployment, and big data use and outlines adaptive and preventive strategies for mitigating field deployment challenges and optimizing system performance that is a practical, compliance‐oriented model for smart stormwater monitoring in complex urban settings at various scales. 

Anthropogenic stressors like overfishing, land based runoff, and increasing temperatures cause the degradation of coral reefs, leading to the loss of corals and other calcifiers, increases in competitive fleshy algae, and increases in microbial pathogen abundance and hypoxia. To test the hypothesis that corals would be healthier by moving them off the benthos, a common garden experiment was conducted in which corals were translocated to midwater geodesic spheres (hereafter called Coral Reef Arks or Arks). Coral fragments translocated to the Arks survived significantly longer than equivalent coral fragments translocated to Control sites (i.e., benthos at the same depth). Over time, average living coral surface area and volume were higher on the Arks than the Control sites. The abundance and biomass of fish were also generally higher on the Arks compared to the Control sites, with more piscivorous fish on the Arks. The addition of Autonomous Reef Monitoring Structures (ARMS), which served as habitat for sessile and motile reef-associated organisms, also generally significantly increased fish associated with the Arks. Overall, the Arks increased translocated coral survivorship and growth, and exhibited knock-on effects such as higher fish abundance.