Jeffrey N. Houser
United States Geological Survey
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Featured researches published by Jeffrey N. Houser.
Journal of The North American Benthological Society | 2005
Jeffrey N. Houser; Patrick J. Mulholland; Kelly O. Maloney
Abstract Catchment characteristics determine the inputs of sediments and nutrients to streams. As a result, natural or anthropogenic disturbance of upland soil and vegetation can affect instream processes. The Fort Benning Military Installation (near Columbus, Georgia) exhibits a wide range of upland disturbance levels because of spatial variability in the intensity of military training. This gradient of disturbance was used to investigate the effect of upland soil and vegetation disturbance on rates of stream metabolism (ecosystem respiration rate [ER] and gross primary production rate [GPP]). Stream metabolism was measured using an open-system, single-station approach. All streams were net heterotrophic during all seasons. ER was highest in winter and spring and lowest in summer and autumn. ER was negatively correlated with catchment disturbance level in winter, spring, and summer, but not in autumn. ER was positively correlated with abundance of coarse woody debris, but not significantly related to % benthic organic matter. GPP was low in all streams and generally not significantly correlated with disturbance level. Our results suggest that the generally intact riparian zones of these streams were not sufficient to protect them from the effect of upland disturbance, and they emphasize the role of the entire catchment in determining stream structure and function.
Hydrobiologia | 2010
Jeffrey N. Houser; William B. Richardson
Existing research on nutrients (nitrogen and phosphorus) in the Upper Mississippi River (UMR) can be organized into the following categories: (1) Long-term changes in nutrient concentrations and export, and their causes; (2) Nutrient cycling within the river; (3) Spatial and temporal patterns of river nutrient concentrations; (4) Effects of elevated nutrient concentrations on the river; and (5) Actions to reduce river nutrient concentrations and flux. Nutrient concentration and flux in the Mississippi River have increased substantially over the last century because of changes in land use, climate, hydrology, and river management and engineering. As in other large floodplain rivers, rates of processes that cycle nitrogen and phosphorus in the UMR exhibit pronounced spatial and temporal heterogeneity because of the complex morphology of the river. This spatial variability in nutrient processing creates clear spatial patterns in nutrient concentrations. For example, nitrate concentrations generally are much lower in off-channel areas than in the main channel. The specifics of in-river nutrient cycling and the effects of high rates of nutrient input on UMR have been less studied than the factors affecting nutrient input to the river and transport to the Gulf of Mexico, and important questions concerning nutrient cycling in the UMR remain. Eutrophication and resulting changes in river productivity have only recently been investigated the UMR. These recent studies indicate that the high nutrient concentrations in the river may affect community composition of aquatic vegetation (e.g., the abundance of filamentous algae and duckweeds), dissolved oxygen concentrations in off-channel areas, and the abundance of cyanobacteria. Actions to reduce nutrient input to the river include changes in land-use practices, wetland restoration, and hydrological modifications to the river. Evidence suggests that most of the above methods can contribute to reducing nutrient concentration in, and transport by, the UMR, but the impacts of mitigation efforts will likely be only slowly realized.
Environmental Monitoring and Assessment | 2016
Rebecca M. Kreiling; Jeffrey N. Houser
Long-term trends in tributaries provide valuable information about temporal changes in inputs of nutrients and sediments to large rivers. Data collected from 1991 to 2014 were used to investigate trends in total nitrogen (TN), total phosphorus (TP), nitrate (NO3–N), soluble-reactive P (SRP), and total suspended solids (TSS) in the following six tributaries of the upper Mississippi River: Cannon (CaR; Minnesota (MN)), Maquoketa (MR; Iowa (IA)), Wapsipinicon (WR; IA), Cuivre (CuR; Missouri (MO)), Chippewa (ChR; Wisconsin (WI)), and Black (BR; WI) rivers. Weighted regression on time discharge and season was used to statistically remove effects of random variation in discharge from estimated trends in flow-normalized concentrations and flux. Concentration and flux of TSS declined in all six rivers. Concentration of P declined in four of the rivers, and P flux declined in five rivers. Concentration and flux of N exhibited small changes relative to TP. TN concentration and flux did not change substantially in four of the rivers and decreased in two (ChR, CuR). Nitrate concentration and flux increased in three rivers (ChR, BR, CaR) and remained relatively constant in the other three rivers. General declines in P and TSS suggest that improvements in agricultural land management, such as the adoption of conservation tillage and enrollment of vulnerable acreage into the Conservation Reserve Program, may have reduced surface runoff; similar reductions in N were not observed.
Ecologist-Developed Spatially-Explicit Dynamic Landscape Models | 2012
Katherine R. Amato; Benjamin Martin; Aloah Pope; Charles H. Theiling; Kevin J. Landwehr; Jon Petersen; Brian S. Ickes; Jeffrey N. Houser; Yao Yin; Bruce Hannon; Richard E. Sparks
The restoration and management of large rivers is difficult because such rivers have dynamic ecosystems and complex organic carbon cycles. Furthermore, energy flow is controlled by biotic and abiotic factors, similar to terrestrial systems, and also by hydraulic factors. There are three commonly discussed theories that attempt to describe productivity in large rivers, but none provides a generalized mechanism that can be applied across all rivers and all seasons. This chapter discusses a spatially explicit carbon-cycle model that simulates patterns of productivity in pool 5 of the Mississippi River. The model, developed using NetLogo (http://ccl.northwestern.edu/netlogo/), incorporates both ecological and hydraulic processes for the purpose of representing the complexity of the Mississippi River carbon cycle and pinpointing key sources of productivity within it. This model can serve as a simple and effective tool for use by researchers and students who are interested in studying river productivity, and it is readily adaptable to a variety of river ecosystems simply by substituting hydrology inputs such as maps of depth, velocity, and flow direction.
Hydrobiologia | 2010
Jeffrey N. Houser; David W. Bierman; Robert M. Burdis; Lori A. Soeken-Gittinger
Freshwater Biology | 2015
Jeffrey N. Houser; Lynn A. Bartsch; William B. Richardson; James T. Rogala; John F. Sullivan
River Systems | 2013
Jeffrey N. Houser; Shawn M. Giblin; William F. James; Heidi A. Langrehr; James T. Rogala; John F. Sullivan; Brian R. Gray
Wetlands | 2014
Shawn M. Giblin; Jeffrey N. Houser; John F. Sullivan; Heidi A. Langrehr; James T. Rogala; Benjamin D. Campbell
River Research and Applications | 2011
Brian R. Gray; W. Shi; Jeffrey N. Houser; James T. Rogala; Z. Guan; J. L. Cochran-Biederman
Archive | 2005
Jeffrey N. Houser; David W. Bierman; Robert M. Burdis; James R. Fischer; James T. Rogala; Lori A. Soeken-Gittinger; Kraig L. Hoff; Erik Harms