tools and methods for land health monitoring ......• calculate areas, design weights for data...
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Implementing AIM-based Monitoring for Natural Resource
Management
Jason W. Karl1
Sarah E. McCord1
Emily Kachergis2
Jeffrey Herrick1
1USDA-ARS Jornada Experimental Range 2BLM National Operations Center
Implementing AIM-based Monitoring for Natural Resource
Management
Implementing AIM-based Monitoring
• Successful monitoring programs have – Clearly-defined objectives
– Planning
– Organized execution
– Iteration/revision
• AIM Principles – Facilitate use of data to answer original questions
– Promote ability to reuse monitoring data
Monitoring Process Implementation Model
• Effective monitoring programs don’t just happen
– A planned or structured approach to implementation helps
• This is the implementation model that we use for AIM projects
– Adapted from well-used sources (e.g., Elzinga et al., Herrck et al. 2005).
– Structured, but flexible and iterative
General Approach First Year: Develop Monitoring Program
First Year: Design Monitoring Program
First Year: Implement Monitoring Program
Every Year: Maintain Program
Every 1-10 Years: Repeat Long-term Monitoring
Background
Design
Implement
Maintain
Repeat/Use
Design & implementation steps are iterative Documentation of the process is crucial
Developing a Monitoring Program
Step 1: Develop management objectives, select additional ecosystem attributes and indicators to monitor
Step 2: Set the study area and reporting units, develop monitoring objectives
Step 3: Select criteria for stratifying the study area into similar land areas (if required)
Conceptual Models for Monitoring Design
From Miller et al. (2010)
Design the Monitoring Program
Step 4: Select supplemental methods; estimate sample sizes, set sampling frequency, develop implementation rules
Step 5: Collect/evaluate pilot data for sampling sufficiency and evaluating strata
Step 6: Apply stratification to study area, select statistically-valid sampling locations
Step 7: Develop QA/QC procedures and data management plans
Stratification
Develop stratification criteria
• Conceptual focus
• Factors affecting variability of indicators
• May include other units for ensuring adequate sampling
• Often many potential criteria
• Iterative process to arrive at final criteria
Apply stratification
• Technical focus
• Translate the criteria into a set of units for sample design
• Calculate areas, design weights for data analysis
• Stratification layers often imperfect
Two separate steps!
Supplemental methods
• Core indicators not intended to answer every question
• Supplemental methods added when needed
Active Layer Depth NPR-A
Supplemental Height Info, Sagebrush Shape Sage Grouse HAF
Example - White River Field Office
• Sample Design – Project area – grew from
portion to include entire FO area
– Strata – land potential basis, grouped range sites (no EcoSite info)
– Approach – spatially-balanced point selection
– Iteration – sample sufficiency after year 1. Additional areas/samples added each year.
Implement the Monitoring Program
Step 8: Establish monitoring locations, collect baseline data, perform QA/QC
Step 9: Evaluate baseline data, refine monitoring design and objectives as necessary
Data QA/QC Responsibilities
Level Responsibility Task Frequency
Field Field lead/crew Calibration Proper technique Data completeness Data organization
Ongoing
Field/District Office Monitoring project coordinator
Monitoring design Training crews Data review Data management
Beginning of season Ongoing
State Office State monitoring lead
Data review/ standardization
End of season
NOC NOC database staff Monitoring Resources Provide training Data review/standardization
Ongoing Beginning of Season End of Season
Monitoring Data QA/QC
Baseline data evaluation
• Exploratory data analysis – Outliers, weird values
• Calculate estimates for reporting units – Necessary sample
design info
– Point weights
• Sample sufficiency – Enough sample points?
http://shiny.landscapetoolbox.org/SampleSize
Maintain the Monitoring Program
Step 10: Document management/disturbance; record short-term monitoring data (as needed)
Management/ Disturbance Use Monitoring
Developing a Monitoring Program
Step 11: Repeat monitoring at predetermined frequency, perform data QA/QC
Step 12: Analyze, interpret, report, and USE monitoring results in adaptive management
Floodplain connectivity Bank stability
Macroinvertebrate MMI scores Invasive macroinvertebrates
Floodplain connectivity Bank stability
Applying Monitoring Data
• Creating estimates for the right reporting units
• Linking monitoring data to land management objectives
• Developing thresholds for management actions
Putting it all together
Don’t be put off by the technical aspects of monitoring program design. • Focus on concepts • Use resources,
people, tools available to help
• Plan on the process being iterative
Sources for more info
• The Landscape Toolbox (http://www.landscapetoolbox.org)
• Monitoring Manual for Grassland, Shrubland, and Savannah Ecosystems (2015)
• BLM Technical Note 445
– Taylor et al. 2014. AIM-Monitoring: a component of the BLM Assessment, Inventory, and Monitoring Strategy.