2 edition of ERHYM-II found in the catalog.
J. R. Wight
by U.S. Dept. of Agriculture, Agricultural Research Service, National Technical Information Service [distributor in [Beltsville, Md.?], Springfield, VA
Written in English
|Statement||[Wight, J. Ross].|
|Series||ARS -- 59., ARS (Series) (United States. Agricultural Research Service) -- 59.|
|Contributions||United States. Agricultural Research Service.|
|The Physical Object|
|Pagination||23 p. :|
|Number of Pages||23|
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The ERHYM-II model was evaluated to determine if it was capable of simulating the water balance for honey mesquite shrub clusters, grass interspaces, and bare soil in south Texas. The simulated water budget was within 2 percent of the measured evapotranspiration for the shrub clusters and grass interspaces.
Simulación de la productividad de materia seca y dinámica del agua en praderas de la Patagonia chilena. Se describe un modelo de simulación para pastizales. John William Laundre. Book. Jan ; Apex predators, the landscape of fear, and conserving endangered species ERHYM-II book and sensitivity testing of CREAMS and ERHYM‐II computer models.
(5) ERHYM-II MODEL DESCRIPTION where Y is average above-ground biomass production (kg/ha). The RGC is used to indicate seasonal changes in standing live phytomass. The RGC is calculated with a modified Poisson density function (Wight et al., ) as: ERHYM-Il is a climatically-driven water balance model which functions on the plant community.
E PA//R/ March COMPILATION OF SATURATED AND UNSATURATED ZONE MODELING SOFTWARE (UPDATE OF EPA//R/ and EPA//R/) by Paul K.M. van der Hcijdc Colorado School of Mines International Ground Water Modeling Center Golden, Colorado CR Project Officer Joseph R.
Williams Subsurface Protection and Remediation Division. All of the grassland systems studied are projected to lose soil carbon, with the greatest losses in the extreme continental grassland systems.
There are large differences in the projected changes in plant production for some regions, while alterations in soil C are relatively similar over a range of climate change projections drawn from various Cited by: Two computer models for predicting water movement, CREAMS and ERHYM-II, were calibrated and sensitivity tested for use in cool, semiarid environments.
The models were used to predict soil moisture, evapotranspiration, and runoff of two watersheds. Initial estimated soil moisture patterns from CREAMS did not fit field data. Adjustment of the snow melt routine in the model and use of field-based Author: John W.
Laundré. Modeling studies and observed data suggest that plant production, species distribution, disturbance regimes, grassland biome boundaries and secondary production (i.e., animal productivity) could be affected by potential changes in climate and by changes in land use practices. There are many studies in which computer models have been used to assess the impact of climate changes on Cited by: 11 Abstract of Thesis Presen ted to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Science DEVELOPMENT OF A MANAGEMENT FO CUSED DECISION SU PPORT TOOL FOR OKEECHOBEE BASIN BEEF CATTLE AGROECOSYSTEMS By Sudarshan Jagannathan December Chair: Gregory A.
Kiker Major. coupled simulation modeling of flatwoods hydrology, nutrient and vegetation dynamics by lei yang a dissertation presented to the graduate school of the university of florida in partial fulfillment of the requirements for the degree of doctor of philosophy university of florida copyright by lei yang this dissertation is dedicated to my.
Full text of "Selected water resources abstracts" See other formats. The ERHYM-II model was evaluated to determine if it was capable of simulating the water balance for honey mesquite shrub clusters, grass interspaces, and bare soil in south Texas.
The simulated water budget was within 2 percent of the measured evapotranspiration for. Full text of "Monthly catalog of United States government publications" See other formats. Forest Hydrology: An Introduction to Water and Forests unit usually has a conductivity of at least 1 µmho cm Seawater has a concentration of dissolved solids of ab mg/liter-1; thus, its conductivity is ab µmhos cm.