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 LDEQs Nonpoint Source Program and LDNRs
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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