Daren Harmel
Agricultural Research Service
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Publication
Featured researches published by Daren Harmel.
Journal of The American Water Resources Association | 2015
Michael J. White; Marilyn Gambone; Haw Yen; Jeffrey G. Arnold; Daren Harmel; Chinnasamy Santhi; Richard L. Haney
The availability of fresh water is a prerequisite for municipal development and agricultural production especially in the arid and semi-arid portions of the western U.S. Agriculture is the leading user of water in the U.S. Agricultural water use can be partitioned into green (derived from rainfall) and blue water (irrigation). Blue water can be further subdivided by source. In this research we develop a hydrologic balance by 8-Digit Hydrologic Unit Code (HUC8) using a combination of Soil and Water Assessment Tool (SWAT) simulations and available human water use estimates. These data are used partition agricultural groundwater usage blue water by sustainability and surface water usage by local source or importation. These predictions coupled with reported agricultural yield data are used to predict the virtual water contained in each ton of corn, wheat, sorghum, and soybeans produced and its source. We estimate that these four crops consume 480 km3 of green water annually and 23 km3 of blue water, 12 km3 of which is from groundwater depletion. Regional trends in blue water use from groundwater depletion highlight heavy usage in the High Plains, and small pockets throughout the Western U.S. This information is presented to inform water resources debate by estimating the cost of agricultural production in terms of water regionally. This research illustrates the variable water content of the crops we consume and export, and the source of that water.
Proceedings of the National Academy of Sciences of the United States of America | 2017
Daniel K. Manter; Jorge A. Delgado; Harvey D. Blackburn; Daren Harmel; Adalberto A. Pérez de León; C. Wayne Honeycutt
Soils are the keystone of healthy and vibrant ecosystems, providing physical, chemical, and biological substrates and functions necessary to support life. In particular, its the extensive and elaborate matrix of soil microorganisms and other life forms that contributes to soil health and utility. But soils are under constant threat from heavy use, changing climate, and in some cases poor management (1, 2). In view of soil’s key role and threatened status, we believe that there is a need for the scientific community to undertake coordinated research and development efforts that will lead to a unique asset: a National Living Soil Repository (Fig. 1). Fig. 1. A National Living Soil Repository would store agricultural cryogenic and air-dried soil samples, analyze samples for microbial community composition, assess samples for microbial viability, and serve as a potential source of living organisms for various agricultural ecosystem services. Image courtesy of Jennifer Moore-Kucera (USDA Natural Resources Conservation Service) and Daniel Manter (USDA Agricultural Research Service). Already local and national soil archives have been shown to be of great utility for studying, analyzing, and documenting long-term environmental and ecological trends. For example, the historical soil archive at Hubbard Brook helped researchers discover the link between fossil fuels and acidification of rain and snow (3); the Rothamsted Sample Archive in the United Kingdom has shown a steady increase in dioxins during the last century (4). And yet, a soil repository/archive designed to preserve native biological diversity does not currently exist. Such an archive would provide the ability to acquire data on the current biological (e.g., soil health) state of soils around the country across soil types, cropping systems, and ecosystems and over time. Further, by maintaining soil archives and a catalog of their microbial communities, we will gain a better understanding of how soil organisms are distributed … [↵][1]1To whom correspondence should be addressed. Email: Jorge.Delgado{at}ars.usda.gov. [1]: #xref-corresp-1-1
Journal of Environmental Quality | 2017
Scott Winkler; C. D. Coufal; Daren Harmel; Emily Martin; John P. Brooks; Sheena Popham; Terry J. Gentry
Land application of poultry litter is often considered to be a major source of water pollutants in poultry-producing regions. However, reported levels of fecal indicator microorganisms in litter vary widely, with considerable variation possible within houses and across farms, depending on management practices. Therefore, a study was conducted to determine the levels and distribution of indicator microorganisms within 12 broiler farms representing three companies. Within each house, litter samples were collected from around the feed line, water line, north wall, cool pad end, middle, and fan end. Litter moisture content was significantly different within the houses, with the litter being driest around the feed line (19.8%) and wettest around the water line (40.7%). Mean levels of total coliforms, , enterococci, and were 3.7, 3.3, 6.4, and 4.0 log colony-forming units g dry litter, respectively. Levels of total coliforms, , and were positively correlated with litter moisture content, but enterococci levels were not. Consequently, levels of total coliforms, , and , as well as enterococci, were highest around the water line and lowest around the feed line. These results indicate that areas with higher litter water content are more likely to contain higher levels of most fecal indicator microorganisms. Approaches to reduce litter water content in these areas would not only benefit the microbial quality of litter for land application but would also likely improve in-house disease control.
Journal of The American Water Resources Association | 2016
Daren Harmel; Laura E. Christianson; Matthew W McBroom; Douglas R. Smith; Kori D. Higgs
The “Measured Annual Nutrient loads from AGricultural Environments” (MANAGE) database was published in 2006 to expand an early 1980s compilation of nutrient export (load) data from cultivated and pasture/range land at the field or farm scale. Then in 2008, MANAGE was updated with 15 additional studies, and nitrogen (N) and phosphorus (P) concentrations in runoff were added. Since then, MANAGE has undergone significant expansion adding N and P water quality along with relevant management and site characteristic data from: (1) 30 runoff studies from forested land uses, (2) 91 drainage water quality studies from drained land, and (3) 12 additional runoff studies from cultivated and pasture/range land uses. In this expansion, an application timing category was added to the existing fertilizer data categories (rate, placement, formulation) to facilitate analysis of 4R Nutrient Stewardship, which emphasizes right fertilizer source, rate, time, and place. In addition, crop yield and N and P uptake data were added, although this information was only available for 21 and 7% of studies, respectively. Inclusion of these additional data from cultivated, pasture/range, and forest land uses as well as artificially drained agricultural land should facilitate expanded spatial analyses and improved understanding of regional differences, management practice effectiveness, and impacts of land use conversions and management techniques. The current version is available at www.ars.usda.gov/spa/manage-nutrient. (KEY TERMS: nitrogen; phosphorus; water quality; nonpoint source pollution; drainage; forest hydrology.) Harmel, R. Daren, Laura E. Christianson, Matthew W. McBroom, Douglas R. Smith, and Kori D. Higgs, 2016. Expansion of the MANAGE Database with Forest and Drainage Studies. Journal of the American Water Resources Association (JAWRA) 52(5):1275-1279. DOI: 10.1111/1752-1688.12438
Journal of The American Water Resources Association | 2006
Daren Harmel; Steve Potter; Pamela Casebolt; Kenneth H. Reckhow; Colleen Green; Rick Haney
Journal of Environmental Quality | 2008
Daren Harmel; Song Qian; Kenneth H. Reckhow; Pamela Casebolt
Field Crops Research | 2016
Xu Zhao; Laura E. Christianson; Daren Harmel; Cameron M. Pittelkow
Journal of The American Water Resources Association | 2015
Michael J. White; Daren Harmel; Haw Yen; Jeffrey G. Arnold; Marilyn Gambone; Richard L. Haney
Environmental Modelling and Software | 2011
Ulrike Bende-Michl; Martin Volk; Daren Harmel; Lachlan Newham; Tommy Dalgaard
Environmental Monitoring and Assessment | 2016
Daren Harmel; Kevin Wagner; Emily Martin; Doug R. Smith; Pauline Wanjugi; Terry J. Gentry; L. Gregory; Tina Hendon