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Marco Maneta   Dr.  Institute, Department or Faculty Head 
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Marco Maneta published an article in March 2018.
Top co-authors See all
Chris Soulsby

136 shared publications

Wesley W. Wallender

61 shared publications

Victor Jetten

51 shared publications

Joel T. Harper

40 shared publications

Department of Geosciences, University of Montana, Missoula, Montana

Karen Shapiro

13 shared publications

Publication Record
Distribution of Articles published per year 
(2007 - 2018)
Total number of journals
published in
Article 1 Read 0 Citations What can we learn from multi-data calibration of a process-based ecohydrological model? Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta, Chris Sou... Published: 01 March 2018
Environmental Modelling & Software, doi: 10.1016/j.envsoft.2018.01.001
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We assessed whether a complex, process-based ecohydrological model can be appropriately parameterized to reproduce the key water flux and storage dynamics at a long-term research catchment in the Scottish Highlands. We used the fully-distributed ecohydrological model EcH2O, calibrated against long-term datasets that encompass hydrologic and energy exchanges, and ecological measurements. Applying diverse combinations of these constraints revealed that calibration against virtually all datasets enabled the model to reproduce streamflow reasonably well. However, parameterizing the model to adequately capture local flux and storage dynamics, such as soil moisture or transpiration, required calibration with specific observations. This indicates that the footprint of the information contained in observations varies for each type of dataset, and that a diverse database informing about the different compartments of the domain, is critical to identify consistent model parameterizations. These results foster confidence in using EcH2O to contribute to understanding current and future ecohydrological couplings in Northern catchments.
Article 1 Read 3 Citations Coastal development and precipitation drive pathogen flow from land to sea: evidence from a Toxoplasma gondii and felid ... Elizabeth VanWormer, Tim E Carpenter, Purnendu Singh, Karen ... Published: 26 July 2016
Scientific Reports, doi: 10.1038/srep29252
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Rapidly developing coastal regions face consequences of land use and climate change including flooding and increased sediment, nutrient, and chemical runoff, but these forces may also enhance pathogen runoff, which threatens human, animal, and ecosystem health. Using the zoonotic parasite Toxoplasma gondii in California, USA as a model for coastal pathogen pollution, we examine the spatial distribution of parasite runoff and the impacts of precipitation and development on projected pathogen delivery to the ocean. Oocysts, the extremely hardy free-living environmental stage of T. gondii shed in faeces of domestic and wild felids, are carried to the ocean by freshwater runoff. Linking spatial pathogen loading and transport models, we show that watersheds with the highest levels of oocyst runoff align closely with regions of increased sentinel marine mammal T. gondii infection. These watersheds are characterized by higher levels of coastal development and larger domestic cat populations. Increases in coastal development and precipitation independently raised oocyst delivery to the ocean (average increases of 44% and 79%, respectively), but dramatically increased parasite runoff when combined (175% average increase). Anthropogenic changes in landscapes and climate can accelerate runoff of diverse pathogens from terrestrial to aquatic environments, influencing transmission to people, domestic animals, and wildlife.
Article 2 Reads 1 Citation Changes to Snowpack Energy State from Spring Storm Events, Columbia River Headwaters, Montana Zachary M. Seligman, Joel T. Harper, Marco P. Maneta Published: 01 February 2014
Journal of Hydrometeorology, doi: 10.1175/jhm-d-12-078.1
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The generation and release of meltwater during the spring snowmelt season can be delayed because of spring storm episodes with snow accumulation and/or sustained subfreezing temperatures. The delayed release of snowmelt often extends beyond the particular storm event because of changes to the internal state of energy in the snowpack that prevents transmission of meltwater. Following a storm, two energy deficits internal to the snowpack must be overcome before surface melt can drain and exit the snowpack: 1) cold content created by heat lost during the episode must be removed and 2) dry pore space must be filled with liquid water to residual saturation. This study investigates the role of these two processes in spring snowmelt following past storm episodes in western Montana. The analysis addresses ~10 yr of historical snowpack and air temperature data from 33 stations in the Columbia River headwaters. Results indicate that the addition of pore space has a greater impact on delaying snowmelt than does the addition of cold content, with snow accumulation events responsible for 86% of the collective energy deficit imposed on the snowpack during storm episodes. Nearly all refreezing events occur within one month of peak snowpack, but accumulation events are common up to 50 days later. Under standardized conditions representing clear weather during the spring season, these energy deficits could all be overcome in a matter of hours.
Article 1 Read 1 Citation Sustainable Root Zone Salinity and Shallow Water Table in the Context of Land Retirement Purnendu N. Singh, Wesley W. Wallender, Marco P. Maneta, Ste... Published: 01 May 2010
Journal of Irrigation and Drainage Engineering, doi: 10.1061/(asce)ir.1943-4774.0000065
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This study uses five years of field data from the Land Retirement Demonstration Project located in western Fresno County of California to develop a comprehensive theoretical and numerical modeling framework to evaluate the specific site conditions required for a sustainable land retirement outcome based on natural drainage. Using field data, principles of mass balance in a control volume, the HYDRUS-1D software package for simulating one-dimensional movement of water, heat, and multiple solutes in variably-saturated media, and a model-independent parameter optimizer, the processes of soil water and solute movement in root zone and deep vadose zone were investigated. The optimization of unsaturated soil hydraulic parameters and downward flux (natural drainage) from the control volume against observed vadose zone salinity levels and shallow groundwater levels yield difficult to obtain natural drainage rate as a function of water table height within the control volume. The results show that the unsaturated soil hydraulic properties and the downward flux from the soil profile are the critical parameters. A “natural drainage approach” to sustainable land management for drainage-impaired land is proposed. With this approach it is feasible to design a sustainable land use regimen for drainage-impaired lands in general and retired lands in particular.
Article 1 Read 4 Citations Temporal instability of parameters in an event-based distributed hydrologic model applied to a small semiarid catchment Marco P. Maneta, Gregory Pasternack, Wesley W. Wallender, Vi... Published: 01 August 2007
Journal of Hydrology, doi: 10.1016/j.jhydrol.2007.05.010
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Event-based hydrologic modeling is common practice for semiarid basins where runoff is restricted to short periods after a storm. Such models are used to predict runoff production and soil erosion in agricultural areas as well as the effects of storms on sewer systems, all in areas with limited information. Sometimes, model parameterization is done through infiltration experiments to obtain a parametric infiltration curve or using standard values in lookup tables associated with land use as it is often the case for hydraulic roughness. The model may then be used to predict soil losses or runoff production in storms of different intensities. In the present study a distributed hydrologic model was calibrated to see if rainfall–runoff events of different intensities in a single semiarid basin may have different optimal calibrated sets of parameters. To achieve this, 17 sequential events were calibrated covering a wide range of conditions and storm types in the semiarid southwest of Spain. Two parameters related to roughness (Manning’s n and standard deviation of terrain micro-heights) and three related to infiltration (initial and final infiltration capacities and infiltration decay rate) were calibrated for each event. The results show that the calibrated set of parameters and their sensitivities change through time. The drift of the minima in the parameter space is partially explained by the type of storm. Hydraulic roughness and initial infiltration capacity showed the highest sensitivity to rainfall intensity, while steady state infiltration capacity showed sensitivity to information used as a proxy for the wetness state of the basin. The dynamics of the parameters and their relative sensitivities indicate that the model has to adjust itself to the different conditions of the basin so no single set of parameters characterizes the basin.