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Duck Creek Watershed, Texas

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Research Description  


Problem Statement

Poultry barns in Duck Creek Watershed.A growing poultry industry has developed in southeast Texas, prompting concerns of impairment from land application of litter. How can the type of water quality impairment seen in other poultry production regions of the country be avoided in southeast Texas?

Objectives
Employing the CEEOT-LP modeling framework, simulate the economic and environmental impacts of broiler industry growth scenarios for the Duck Creek watershed. Simulate the economic and environmental impacts of the most viable broiler practices for phosphorus control.

Research Methodology
Baseline conditions and environmental and economic impacts of best management practice (BMP) adoption and industry expansion were simulated using the CEEOT-LP modeling framework. Specifically, the following practices and expansion scenarios were defined and simulated:
 

Expansion Scenarios

  • Year 2000 conditions (1X)(baseline for expansion scenarios)
  • Double the litter spread at current rates (2X)
  • Full expansion at current litter application rates (2.3X)
  • Full expansion at N application rates (6.1X) (N rate) (baseline for BMP scenarios
  BMP Scenarios
  • P application rate (P rate)
  • Double P application rate (double P rate)
  • Complete haul-off of litter (complete haul-off)
  • Hauloff of cleanout litter
  • Phytase addition to broiler feed (phytase)
  • Alum addition to broiler litter (alum)

Environmental Analysis
Modelers used the Soil and Water Assessment Tool (SWAT) as the water quality component of  CEEOT to simulate environmental baseline measures and environmental implications of expansion and BMP scenarios. SWAT is a continuous-time, long-term simulation model designed to predict the impact of management on water, sediment, and agricultural chemical yields in large ungauged basins. The model operates on a daily time-step and uses specialized commands to route water, sediment, and agricultural chemicals through a watershed. Simulations of expansion and BMP scenarios were performed by modifying crop management data files to accommodate changes in land area and application rates and modifying the nutrient coefficients in the fertilizer database to reflect changes in nutrient content for BMP scenarios. Land management regimes were specified on a hydrologic response unit (HRU) basis. HRUs are virtual subbasin units characterized by distinct soil type and land use. Fertilizer management regimes for HRUs were specified to simulate either commercial fertilizer application or litter application, based on the land area needed to accommodate the litter generated for each BMP or expansion scenario. Supplemental commercial N and sometimes K fertilizer were assumed applied on litter fertilized land to meet recommended levels, when litter nutrients alone did not reach these levels.

For the phytase scenario, a litter P reduction of 25 percent was chosen as a conservative average value, when phytase is supplemented in broiler diets at recommended levels. The alum addition scenario simulates the addition of alum to broiler litter at rates designed to significantly reduce soluble phosphorus in broiler litter. Based on research findings, addition of alum to broiler litter was simulated by reducing the modeled total phosphorus content in alum treated litter to 20 percent of that specified for untreated litter. Another model adjustment was to increase the simulated N content of alum treated litter by 2.9 lb/ton to reflect research findings indicating greater N content in alum treated litter.

Economic Analyses

Economic Impact Analysis
Economic impact analysis of broiler industry expansion in Robertson County was conducted using industry multipliers developed with IMPLAN Professional 2.0 software using a Robertson County 1997 structural matrix supplied by the Minnesota IMPLAN Group. Type I and type II multipliers were used to calculate indirect effects, induced effects, and total impacts from initial direct effects of industry expansion.

Economic Impacts of BMP Scenarios
Economic impacts of BMP scenarios were estimated using partial budgeting analysis. Partial budgeting analysis quantifies changes in costs or benefits due to BMP implementation. Changes in quantities of commercial fertilizer, broiler litter, and amendments (alum and phytase) that were directly specified or induced by BMP scenarios, were multiplied by prevailing prices to estimate the economic implications of BMP scenarios on a per acre or per broiler house basis. Costs of BMP scenarios were calculated for representative operations (pasture, hay, and broiler) by multiplying per acre or per broiler house costs by the applicable number of acres or broiler houses for the representative operation. Costs of BMP scenarios at the watershed level were also developed. Poultry integrator costs and benefits are also included in watershed estimates. Cost-effectiveness ratios, at the watershed level, were calculated by dividing the watershed cost for each BMP by its environmental effectiveness in terms of reducing simulated ambient P loads in Duck Creek.
 
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2002 Texas Institute for Applied Environmental Research