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Ecological Management Action Plans


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EM-11 Reduction of Agricultural Pollution

EVALUATION METHODS

Components of Plan

EM-11 proposes to reduce the inputs of agricultural pollutants by application and use of management measures (BMPs) designed to reduce the input of such pollutants. The focus is on realistic solutions. The results are improved water quality and estuarine ecosystem health. Benefitors of the Action Plan are users of the natural resources of BTES.

Interrelationships Among Components

BMPs that meet, enhance, or exceed state/federal guidelines and that are consistent with continued agricultural production are currently established in LDEQ’s Nonpoint Source Program and LDNR’s Coastal Nonpoint Pollution Control Program. LDEQ heads a Nonpoint Source Interagency Committee.

•. Agencies with monitoring programs that could provide data as to the success of the implemented Action Plan are LDEQ, LDHH, LDAF, LDWF, EPA, USGS, and NOAA (more fully detailed in the Ecological Indicators monitoring plan). Other parameters not currently monitored by these agencies are also detailed in the Ecological Indicators monitoring plan.

•. LDEQ is the proposed implementor; however, other agencies with substantial support capabilities are LDNR, LDAF, LCES, NRCS, and parish governments. Funding is not clear.

Documentation of Plan Implementation and Success

Monitoring for this Action Plan includes assessing the timely implementation of the components of the Action Plan, and the eventual success of implementation (i.e., agricultural pollutants reduced and improved water quality). The first component is not conducive to monitoring in the traditional sense of data collection and analysis (e.g., water quality monitoring), but rather a tracking. The monitoring of implementation is designed to determine whether a better informed public resulted and whether BMPs were implemented. Eventual project success can be monitored with an analysis of data that indicates a reduction in agricultural source pollution indicators and improvement in water quality indicators. The success of Action Plans that target reduced sewage pollution, reduced agricultural pollution, and storm water management may all be manifested in similar improvements in water quality and indicators of ecosystem health. If all Action Plans are working in parallel and water quality improves, it will be difficult to determine the cause and effect. Since the scale of implementation will vary among Action Plans, the level of success in improved water quality will also vary. The probability is high that implementation of any single management scenario may have varying effects in different environments. It is also possible that no single indicator may indicate program success, but rather success will be seen in a combination of indicators. The end result of multiple actions to improve water quality, however, will be noticeable in indicators of basinwide ecosystem-level health (see CCMP-Part 4, "Monitoring Plan for Ecological Indicators"). Specific examples of project success are proposed below. They can be expanded or modified, should be reviewed periodically, and should be amended as appropriate.

Plan implementation

A time line developed jointly by the funding agency and the implementor will provide the basis for the monitor to assess plan implementation. Because of the multiple components, interactions of components, and involvement of many agencies, a more detailed time line should be developed to track the progress of the development of the plan. Examples of time landmarks are:

A lead agency is selected as implementor, source of funding is identified and secured, a project work group is identified and responsibilities outlined, and a detailed time line for the project is established (months 0-1).

•. A coalition of state, local, and federal entities is formed to establish resource priorities in BTES (months 1-2).

Common ground solutions are formulated (months 3-12).

•. Resource priorities in BTES are established (months 6-12).

•. BMPs are clearly identified and implementation documented for eventual users (months 6-12).

•. Education and awareness programs to enhance public involvement are developed (months 3-12).

•. Plan for promoting adoption of BMPs is formulated (months 3-12).

•. Education and awareness programs are disseminated (years 2-10).

•. BMPs are implemented (years 2-10).

•. Implementation (overall plan, individual areas, individual projects, specific methods) and public awareness is tracked (years 2-10).

Project success

Long-term success in the implementation of BMPs will be seen in the reduction in agricultural pollutants and a reduction in the number of water subsegments not meeting water quality criteria due to agricultural pollutants. At the end of years 5 and 10, a statistical analysis should be conducted of various water quality parameters to determine whether the educational programs and agricultural pollution controls have resulted in improved water quality. Suggested steps to determine project success are:

•. Identify suitable targeted areas for monitoring of reduction in agricultural pollution (end of year 1), such as:

¨ . Experiments of paired watersheds, one with many implemented BMPs, the other without.

¨ . Comparisons of water subsegments, those with many implemented BMPs, others without.

•. Establish database with baseline data against which to measure change (end of year 1).

•. Identify suitable agricultural source pollution indicators to monitor for change (end of year 1).

•. Conduct statistical analyses for targeted study areas to determine whether selected parameters indicate a reduction in agricultural pollution (end of years 5 and 10).

•. Reassess targeted study areas and modify experimental design (end of years 5 and 10).

•. Assess whether implementation of BMPs is having desired effects (end of years 5 and 10).

Methods

Measurable parameters

Plan Implementation - The activities of various agencies outlined above in implementing the plan will be monitored for indicators such as:

•. Agency personnel are active in developing educational programs.

•. Agency personnel are active in disseminating information concerning BMPs to appropriate audiences.

•. Educational programs are developed.

•. Schedules for dissemination of educational programs are established.

•. Increased public education programs concerning agricultural pollution and application of BMPs.

•. Increased public awareness of the effects of agricultural pollution on BTES water quality and sustainable living resources.

•. Increased application of BMPs within BTES and watershed.

•. Improvement in indicators that would indicate a reduction in agricultural pollution.

Project Success

•. Format and components of database to determine changes in agricultural pollutants in BTES is established.

•. Baseline data collected.

•. Decreased evidence of agricultural pollutants in targeted study areas.

•. Decreased evidence of agricultural pollutants as cause of impairment of water bodies in targeted study areas.

Data collection methods

Plan Implementation - The monitor will contact the various agencies involved in the implementation to gather data (examples below) that will be incorporated into a monitoring report.

•. Check-off system according to time line of project as landmark dates are encountered and project objectives are met.

•. Person-months of involvement of various agency personnel are documented by the implementor and collaborating agencies.

•. List and descriptions of educational programs developed.

•. List of recipients of educational programs, including dates, types of programs, and comments made by recipients of educational programs as to usefulness of the program.

•. Lists of land owners who establish BMPs on their agricultural property.

•. Reports of results of BMPs on agricultural lands. Summarized by monitor for incorporation in reports.

Project Success - The monitor will access appropriate data sets and conduct statistical analyses. Studies will be specifically targeted areas such as listed above. Suitable analyses include:

•. Routine water quality monitoring and agricultural pollutant monitoring as established in state and federal agencies.

•. Statistical analysis of changes over time in variables that indicate a reduction in agricultural pollutants, such as:

¨ . Changes over time in the designations of degraded water quality (i.e., not meeting or partially meeting designated use due to agricultural sources).

¨ . Changes over time in noncompliance effects (including pH, pathogen indicators, organic enrichment, low dissolved oxygen, salinity, total dissolved solids, chlorides, nutrients).

¨ . Indicators, such as water clarity, chlorophyll biomass, noxious algal blooms, nutrient levels, BOD, fish kills due to pesticide runoff, fish kills due to herbicide applications, (see CCMP-Part 4, "Monitoring Plan for Ecological Indicators" for Ecological Indicators monitoring plan).

Much routine baseline information exists, e.g., LDEQ Water Quality Inventory, various data sets analyzed for "Status and Trends of Eutrophication, Pathogen Contamination, and Toxic Substances in the Barataria-Terrebonne Estuarine System" (Rabalais et al. 1995), types of data in the EPA EMAP database, fish kill databases, LDAF agricultural pollutants in BTES water bodies. Routine monitoring that might indicate the amount of agricultural pollution affecting the system includes nutrients, pesticides in water, sediment loads, salts, fecal coliform levels, BOD, dissolved oxygen, insecticide- or herbicide-related fish kills.

Sample design and statistical methods

Plan Implementation - There are no relevant sample designs or statistical analyses for the evaluation of plan implementation.

Project Success - Suitable baseline data may be available in LDEQ or LDAF databases. If not, a baseline status needs to be developed for studies of specific targeted areas (see above). Identification of any trends needs to be within the context of the variability of the system. Several statistical methods applicable to analysis of trends may be suitable. Data may be normalized and standard linear regression models can be used to detect trends once sufficient data points have been obtained (e.g., 15 years is considered the minimum for similar trend analyses conducted by Rabalais et al. 1995). If data cannot be normalized, nonparametric trend analysis techniques should be employed (e.g., modified Mann-Kendall tau tests and seasonal Kendall slope estimator tests; see Hirsch et al. 1982). Seasonal Kendall tau test is a nonparametric trend test that is appropriate for detecting monotonic trends in "time series" data, i.e., data routinely collected over time (or space). Differences can also be assessed geographically by an analysis of variance on transformed data for site differences. Where sites differ significantly, post-hoc comparisons are run to determine which sites differ from others. Power analysis will estimate the probability of detecting trends of a certain magnitude given a certain number of observations (see Appendix D in Regional Monitoring Program for The Galveston Bay Plan, Lane 1994). N.B. Identification of trends or correlations does not provide cause and effect relationships.

Cost estimates

Estimate one person-month per year for monitoring all the aspects of Action Plan implementation and the cooperative efforts of each agency (approximately one person-week per agency per year). Including salary, fringe, incidental costs, and indirect costs = $8,000 for each year (no inflation). Costs of statistical analyses are estimated at 4 person-months ($32,000 in each of years 5 and 10). A statistical consultant should also be used in year 1 to help design the statistical analysis to be employed at the end of years 5 and 10 and to determine the suitability of existing data and what baseline data are needed ($16,000 in year 1). Modifications in monitoring plan (see below) should result in modifications of cost.

Implementation of Monitoring

Monitor

A monitor selected by BTMC will prepare reports to be submitted to BTMC. Although individuals involved in the implementation of the Action Plan may prefer a team member to monitor the project, usually a Third Party offers the best option as the responsible individual for the monitoring. Independent reviewers should be free of vested interests, historic commitments, unrestrained by mission statements, and free from personnel or budgetary actions. The implementor and cooperating agencies will provide the project monitor with data products listed above for subsequent assessment of accuracy and incorporation into reports. The monitor should interact directly with each cooperating agency to determine their level of commitment and activities for the various reports. Success of the monitoring strategy depends on the commitment of participating agencies and individuals to make monitoring an integral part of the CCMP and to provide the Action Plan monitor with the data required to develop reports to BTMC. An additional outside monitor (i.e., statistician) should be contracted by the working group in years 1, 5 and 10. The results of the statistical analysis should be provided to the overall monitor of the Action Plan for presentation to the BTMC.

Reporting schedule

The monitor will prepare quarterly reports. Reports will be submitted not less than 15 days prior to a regularly scheduled meeting of the BTMC. The party responsible for the monitoring should be available to discuss the report at the meeting if requested to do so by the BTMC. Monitoring reports will also be provided to the agencies or institutions participating in implementation. Interim reports can be prepared by the monitor at any time to draw BTMC attention to significant problems, delays, etc. Statistical analysis of agricultural pollutant data in specific targeted study areas will be conducted at the end of years 5 and 10.

Guidance for monitoring reports

•. Quarterly reports to BTMC shall provide suitable components, such as:

¨ . Check-off of project landmarks according to the project time line

¨ . Compilation of agency person-months of involvement in project.

¨ . Description of educational programs.

¨ . Compilation of recipients of educational programs and their comments.

¨ . Compilation of implemented BMPs.

¨ . Assessment of cooperating agency contributions.

¨ . Descriptions of targeted study areas and sample design.

¨ . Statistical analyses.

•. Technical details may be included in the report, in a presentation suitable for the Scientific Technical Committee and/or BTMC. A summary of the report shall be less than one page and be suitable for presentation to and understanding by the general public.

•. In addition to the evaluation of the technical accomplishments of the project, the monitor shall

¨ . identify problems observed during the reporting period and their potential causes;

¨ . predict the short- and long-term consequences of the problems;

¨ . recommend actions to address the problems, as well as a potential implementor(s);

¨ . identify a time frame for accomplishment of the recommendations.

•. Data collected as part of statistical analyses shall be submitted in DIMS compatible format.

Review of monitoring reports

The BTMC shall receive the quarterly reports. The BTMC shall discuss the monitoring document and take actions it feels appropriate with regard to the implementation of the Action Plan.

Modification of monitoring plan

BTMC may at the end of any annual cycle change the periodicity or components of the monitoring reports if it feels the frequency or components of reports are inappropriate to keep abreast of the project. Changes in the independent reviewer can be made after any annual cycle, but only with the knowledge and participation of the work group of cooperating agencies, the independent reviewer, and BTMC.

QA/QC

Quality assurance/quality control in the usual sense of precision and reliability of data collection does not apply to most of the monitoring plan for this Action Plan, since the monitor is tracking the development and implementation of a series of programs and regulations. Certain features of quality assurance, however, can be applied to aspects of the monitoring plan:

•. Collection of information in an objective and systematic manner.

•. Use of qualified and experienced personnel.

¨ . Independent Third Party with no vested interest, not a BTNEP employee.

¨ . Chosen by work group of cooperating agencies in collaboration with BTMC.

¨ . Knowledgeable about agricultural pollution issues, BMPs, educational and demonstration projects, water quality monitoring programs and databases.

•. Application of standard formats for quarterly reports.

•. Maintenance of a quarterly schedule.

•. Consistent and timely review of monitoring reports by BTMC.

•. Standard data collection methods.

¨ . Application of standard quality control for entry of LDEQ and LDAF data into database.

¨ . Verification of data entries.

¨ . Examination of suspect data points.

¨ . Selected examination of concurrence of field data with data entries in database.

¨ . Compatibility with DIMS format.

References

Hirsch, R M., J.R. Slack and R.A. Smith. 1982. Techniques of trend analysis for monthly water quality data. Water Resources Research 18: 107-121.

Lane, Jr., W.G. (compiler). 1994. Regional Monitoring Plan for The Galveston Bay Plan. GBNEP-45. Webster, TX: Galveston Bay National Estuary Program.

Rabalais, N.N., Q. Dortch, D. Justic, M.B. Kilgen, P.L. Klerks, P.H. Templet, R.E. Turner, B. Cole, D. Duet, M. Beacham, S. Lentz, M. Parsons, S. Rabalais, and R. Robichaux. 1995. Status and Trends of Eutrophication, Pathogen Contamination, and Toxic Substances in the Barataria and Terrebonne Estuarine System. BTNEP Publlication #22. Thibodaux, LA: Barataria-Terrebonne National Estuary Program.

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