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Daren Harmel

Researcher at Agricultural Research Service

Publications -  23
Citations -  550

Daren Harmel is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Watershed & Agriculture. The author has an hindex of 10, co-authored 22 publications receiving 457 citations. Previous affiliations of Daren Harmel include United States Department of Agriculture.

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Nutrient delivery from the Mississippi River to the Gulf of Mexico and effects of cropland conservation

TL;DR: In this paper, the authors used the agricultural policy/environmental eXtender (APEX) and Soil and Water Assessment Tool (SWAT) models to evaluate pollutant sources and delivery and effects of agricultural conservation practices.
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Compilation of measured nutrient load data for agricultural land uses in the united states

TL;DR: In this paper, measured annual nitrogen (N) and phosphorus (P) load data representing field scale transport from agricultural land uses were collected from 40 publications, resulting in a 163-record database with more than 1,100 watershed years of data.
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The MANAGE Database: Nutrient Load and Site Characteristic Updates and Runoff Concentration Data

TL;DR: With this update, MANAGE contains data from the vast majority of published peer-reviewed N and P export studies on homogeneous agricultural land uses in the USA under natural rainfall-runoff conditions and thus provides necessary data for modeling and decision-making related to agricultural runoff.
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Assessment of drainage nitrogen losses on a yield-scaled basis.

TL;DR: In this paper, a meta-analysis was conducted using 31 studies with 381 observations from a publicly available nutrient loss drainage database (Measured Annual Nutrient loads from Agricultural Environments, MANAGE) to address the current challenge of balancing crop yields and drainage N losses from intensive maize production systems.
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Development of Sediment and Nutrient Export Coefficients for U.S. Ecoregions

TL;DR: In this paper, a stochastic sampling methodology loosely based on the Monte-Carlo technique was used to construct a database of 45 million Soil and Water Assessment Tool (SWAT) simulations.