planning for inventory & monitoring chip scott national inventory & monitoring applications...
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Planning for Inventory & Monitoring
Chip ScottNational Inventory & Monitoring Applications
Center (FIA-NIMAC)Northern Research Station
U.S. Forest ServiceNewtown Square, PA
Chip ScottNational Inventory & Monitoring Applications
Center (FIA-NIMAC)Northern Research Station
U.S. Forest ServiceNewtown Square, PA
Inventory & Monitoring Toolkit
• Design Tool – to identify monitoring needs, and to specify sampling design to balance cost and precision in order to address monitoring questions.
• Portable Data Recorder Tool – software on PDR to collect, validate, and transfer data.
• Database and Compilation Tool – to store and compute calculated fields
• Spatial / Tabular Analytical Tools – use standard methods or spatial means of specifying area for which to estimate tables and maps.
• Design Tool – to identify monitoring needs, and to specify sampling design to balance cost and precision in order to address monitoring questions.
• Portable Data Recorder Tool – software on PDR to collect, validate, and transfer data.
• Database and Compilation Tool – to store and compute calculated fields
• Spatial / Tabular Analytical Tools – use standard methods or spatial means of specifying area for which to estimate tables and maps.
The Planning Phase
The Design Tool could help with the first 3 monitoring steps
1. Identify customers and set broad objectives – pick from list of broad objectives based on desired conditions or outcomes
2. Select monitoring questions – pick from list of generic questions based on the chosen objectives
3. Select attributes – pick from list of metrics for the questions chosen, then select from list of categorical attributes used to make tables to answer the questions. Then pick any additional attributes of interest
The Design Tool could help with the first 3 monitoring steps
1. Identify customers and set broad objectives – pick from list of broad objectives based on desired conditions or outcomes
2. Select monitoring questions – pick from list of generic questions based on the chosen objectives
3. Select attributes – pick from list of metrics for the questions chosen, then select from list of categorical attributes used to make tables to answer the questions. Then pick any additional attributes of interest
From Objectives to Attributes
Broad Objectives
Monitoring QuestionsMetric
No.Indicator Metric
Forest HealthWhat is the current status and trends in health of the forest ?
3Tree growth and mortality rates Volume, acres
4Tree condition
% having poor crowns or dead,
acres
5Crown condition
% having poor crowns, acres, basal
area, volume)
6Tree regeneration
Acres, Seedling, sapling, and tree
stems/ac;
29Tree harvest Volume, acres
Forest Productivity and Sustainability
What are the components of growth, harvest, and net change?
3Tree growth and mortality rates Volume, acres
29Tree harvest Volume, acres
The Analysis Tool for Inventory and Monitoring (ATIM)
1. Access Inventory Data which meets criteria – spatially balanced, known probability of selection, metadata, etc. This includes FIA, intensified FIA, periodic, collocated, periodic, all condition inventories, etc
2. Access spatial datasets – associate spatial attributes with plots, selecting area of interest and determining area, post-stratification
3. Process (compile) data – calculate and store variables. For example tons per acre, canopy base height, canopy bulk density, classification algorithms such as old growth, dominance type, vertical structure, etc
1. Access Inventory Data which meets criteria – spatially balanced, known probability of selection, metadata, etc. This includes FIA, intensified FIA, periodic, collocated, periodic, all condition inventories, etc
2. Access spatial datasets – associate spatial attributes with plots, selecting area of interest and determining area, post-stratification
3. Process (compile) data – calculate and store variables. For example tons per acre, canopy base height, canopy bulk density, classification algorithms such as old growth, dominance type, vertical structure, etc
The Analysis Tool for Inventory and Monitoring (ATIM)
4. Calculate estimates – include confidence intervals, sampling error, etc. Accommodate variable weights.
5. Query data – to process estimates, allow data exploration of tabular data
6. Conduct trend analysis – monitoring trends overtime.
7. Store data and meta data – need the ability to “freeze” and store data for analysis such as forest plan revision
8. Integrate with other NFS applications – GI tool, FACTS, (QA Analyst??) etc
9. Document Process – user’s guides, tech transfer
4. Calculate estimates – include confidence intervals, sampling error, etc. Accommodate variable weights.
5. Query data – to process estimates, allow data exploration of tabular data
6. Conduct trend analysis – monitoring trends overtime.
7. Store data and meta data – need the ability to “freeze” and store data for analysis such as forest plan revision
8. Integrate with other NFS applications – GI tool, FACTS, (QA Analyst??) etc
9. Document Process – user’s guides, tech transfer
Mark Twain National ForestMark Twain National Forest FIA is our Strategic Inventory
The Mark Twain started intensification of the FIA plots in 1976 for the Forest plan (2x).
State completed 2x intensification for 1989 periodic inventory.
Stayed with 2x intensification when FIA changed to annual inventory in 1999. MT continued 2x in 2001. Started 7x intensification for Phase 3 plots on MT in 2007.
Annual cost of $65,000 to the Forest since 2001.
Mark Twain FIA Inventory
483 Phase 2 plots (2 x Intensification)
110 Phase 3 Plots (7 x Intensification)
What vegetation data will be used to describe the “Desired Condition”? Put NF Lands into “Context” of the Landscape – Private and other lands.
How reliable will the estimates be?
Can we answer “What has changed?” and “By how much?”
“Are we moving towards the Desired Condition? By how much?”
Forest Planning, Inventory & Monitoring need to address:
How are we using FIA data?• Forest Plan uses FIA as Primary Inventory Data
for yield table analysis and current condition.
• Forest Plan EIS uses FIA data for Cumulative Effects Analysis.
• Working on how to use FIA data for– Vegetation Map Unit descriptions– Project level cumulative effects– Forest Plan Monitoring
Vegetation Classification, Mapping and Inventory - CMI
Average Annual Growth, Removals, Mortality by Forest Type Comparison 1977 to 1989 FIA Data
Mark Twain National Forest
50.3
4.5
30.3
43.2
9.04.5
68.0 68.0
27.5
5.56.5
37.4
0
20
40
60
80
100
120
Shortleaf Pine White Oaks Red Oaks Hichory
Forest Type Group
Mil
lio
n B
oar
d F
eet
(MM
BF
)
Net Annual Growth
Annual Removals
Annual Mortality
Data from FIA Tables 24, 25, 26
Average Annual Growth, Removals, Mortality by Forest Type Comparison 1989 to 2003 FIA Data
Mark Twain National Forest
57.0
22.0
10.4
41.4
3.5
23.0
111.0 112.0
19.1
2.41.6
15.5
0
20
40
60
80
100
120
Shortleaf Pine White Oaks Red Oaks Hichory
Forest Type Group
Mil
lio
n B
oar
d F
eet
(MM
BF
)
Net Annual Growth
Annual Removals
Annual Mortality
Data from FIA Tables 24, 25, 26
Using FIA data to Describe LTAs
Average Annual Growth, Removals, Mortality by Forest Type Comparison 1977 to 1989 FIA Data
Mark Twain National Forest
50.3
4.5
30.3
43.2
9.04.5
68.0 68.0
27.5
5.56.5
37.4
0
20
40
60
80
100
120
Shortleaf Pine White Oaks Red Oaks Hichory
Forest Type Group
Mil
lio
n B
oa
rd F
ee
t (M
MB
F)
Net Annual Growth
Annual Removals
Annual Mortality
Data from FIA Tables 24, 25, 26
Plot Selection
Report Output
Average Annual Growth, Removals, Mortality by Forest Type Comparison 1989 to 2003 FIA Data
Mark Twain National Forest
57.0
22.0
10.4
41.4
3.5
23.0
111.0 112.0
19.1
2.41.6
15.5
0
20
40
60
80
100
120
Shortleaf Pine White Oaks Red Oaks Hichory
Forest Type Group
Mil
lio
n B
oa
rd F
ee
t (M
MB
F)
Net Annual Growth
Annual Removals
Annual Mortality
Data from FIA Tables 24, 25, 26
Time 1
Time 2
Compare & TrendAnalysis
Data Selection
Forest Health use of FIA and Forest Parameter datasetshttp://www.fs.fed.us/foresthealth/technology/nidrm_spb.shtml