Estimating Pesticide Retention Efficacy for Edge-of-Field Buffers Using the Riparian Ecosystem Management Model (REMM) in a Southeastern Plains Landscape

2011 ◽  
pp. 259-271 ◽  
Author(s):  
Thomas L. Potter ◽  
R. Richard Lowrance ◽  
David D. Bosch ◽  
Randall G. Williams
Keyword(s):  
Ecosystem Management ◽  
Management Model ◽  
Riparian Ecosystem ◽  
Field Buffers

RIPARIAN ECOSYSTEM MANAGEMENT MODEL (REMM): I. TESTING OF THE HYDROLOGIC COMPONENT FOR A COASTAL PLAIN RIPARIAN SYSTEM

1999 ◽  
Vol 42 (6) ◽  
pp. 1679-1690 ◽  
Author(s):  
S. P. Inamdar ◽  
J. M. Sheridan ◽  
R. G. Williams ◽  
D. D. Bosch ◽  
R. R. Lowrance ◽  
...  
Keyword(s):  
Ecosystem Management ◽  
Coastal Plain ◽  
Management Model ◽  
Riparian Ecosystem ◽  
Riparian System

EVALUATION OF COASTAL PLAIN CONSERVATION BUFFERS USING THE RIPARIAN ECOSYSTEM MANAGEMENT MODEL

2001 ◽  
Vol 37 (6) ◽  
pp. 1445-1455 ◽  
Author(s):  
Richard Lowrance ◽  
Randall G. Williams ◽  
Shreeram P Inamdar ◽  
David D. Bosch ◽  
Joseph M. Sheridan
Keyword(s):  
Ecosystem Management ◽  
Coastal Plain ◽  
Management Model ◽  
Riparian Ecosystem ◽  
Conservation Buffers

scholarly journals Riparian Zone Nitrogen Management through the Development of the Riparian Ecosystem Management Model (REMM) in a Formerly Glaciated Watershed of the US Northeast

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 743
Author(s):  
Marzia Tamanna ◽  
Soni M. Pradhanang ◽  
Arthur J. Gold ◽  
Kelly Addy ◽  
Philippe G. Vidon
Keyword(s):  
Water Table ◽  
Ecosystem Management ◽  
Interquartile Range ◽  
Quality Data ◽  
Management Model ◽  
Edge Zone ◽  
Riparian Ecosystem ◽  
Calibration And Validation ◽  
The Us ◽  
Us Northeast

The Riparian Ecosystem Management Model (REMM) was developed, calibrated and validated for both hydrologic and water quality data for eight riparian buffers located in a formerly glaciated watershed (upper Pawcatuck River Watershed, Rhode Island) of the US Northeast. The Annualized AGricultural Non-Point Source model (AnnAGNPS) was used to predict the runoff and sediment loading to the riparian buffer. Overall, results showed REMM simulated water table depths (WTDs) and groundwater NO3-N concentrations at the stream edge (Zone 1) in good agreement with measured values. The model evaluation statistics showed that, hydrologically REMM performed better for site 1, site 4, and site 8 among the eight buffers, whereas REMM simulated better groundwater NO3-N concentrations in the case of site 1, site 5, and site 7 when compared to the other five sites. The interquartile range of mean absolute error for WTDs was 3.5 cm for both the calibration and validation periods. In the case of NO3-N concentrations prediction, the interquartile range of the root mean square error was 0.25 mg/L and 0.69 mg/L for the calibration and validation periods, respectively, whereas the interquartile range of d for NO3-N concentrations was 0.20 and 0.48 for the calibration and validation period, respectively. Moreover, REMM estimation of % N-removal from Zone 3 to Zone 1 was 19.7%, and 19.8% of N against actual measured 19.1%, and 26.6% of N at site 7 and site 8, respectively. The sensitivity analyses showed that changes in the volumetric water content between field capacity and saturation (soil porosity) were driving water table and denitrification.

Field Testing the Riparian Ecosystem Management Model on a Riparian Buffer in the North CarolinaUpper Coastal Plain

2014 ◽  
Vol 50 (3) ◽  
pp. 665-682 ◽  
Author(s):  
Amey S. Tilak ◽  
Michael R. Burchell ◽  
Mohamed A. Youssef ◽  
Richard R. Lowrance ◽  
Randy G. Williams
Keyword(s):  
Ecosystem Management ◽  
Coastal Plain ◽  
Field Testing ◽  
Riparian Buffer ◽  
Management Model ◽  
Riparian Ecosystem ◽  
The North
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