Southwest Tanana Susitna & Copper River Porcupine & Upper Yukon Coastal Middle & Lower Yukon F F OREST I I NVENTORY & A A NALYSIS INTERIOR ALASKA INVENTORY.

Slides:



Advertisements
Similar presentations
Sampling Design, Spatial Allocation, and Proposed Analyses Don Stevens Department of Statistics Oregon State University.
Advertisements

Yakama Nation Pacific Lamprey Recovery Project Core Data And Monitoring Framework.
PNW-FIA Quality Assurance QA Reloaded The Road from Periodic to Annual Datasets PNW-FIA Client Meeting, March,
Improving School Success for Alaska Native Students in Large High Schools and Students in Low Performing Rural High Schools.
Charley Peterson Resource Monitoring and Assessment Program Pacific Northwest Station, Portland, Oregon Progress on achieving consistency and compatibility.
On Remotely Sensed Responses Monitoring Science and Technology Symposium September 21, 2004 Raymond L. Czaplewski, Ph.D. USDA Forest Service Rocky Mountain.
CmpE 104 SOFTWARE STATISTICAL TOOLS & METHODS MEASURING & ESTIMATING SOFTWARE SIZE AND RESOURCE & SCHEDULE ESTIMATING.
Maximizing Synergies with NRS-FIA AssessmentsState Tell to Sell What has FIA Been Doing Lately? How Can FIA Help? Open Discussion William H. McWilliams.
A Synthesis of Terrestrial Carbon Balance of Alaska and Projected Changes in the 21 st Century: Implications for Climate Policy and Carbon Management To.
Progress Toward Compatibility Among Regions 2011 FIA National Users’ Group Meeting Sacramento. CA 2011 FIA National Users’ Group Meeting Sacramento. CA.
Forest Project Protocol v3.1 Use of FIA Data John Nickerson FIA Conference February 2010.
Remote Sensing of Fire Severity in Interior Alaska (some of the time) Dave Verbyla Dept. of Forest Sciences, UAF Dave Verbyla.
The Many Uses of FIA Data Paul Van Deusen NCASI FIA National User Group Meeting Feb 23 rd – 24 th, 2010 Houston, Texas.
FIA Implementation 2004: Status and Prospects Sue Willits Program Manager PNW-FIA.
FIA National Users Group Meeting – 8 December 2004 FIA Strategic Plan Greg Reams National Program Leader Forest Inventory & Analysis 1601 North.
Estimating American pre-settlement forest parameters from General Land Office data: problems and some solutions. Jim Bouldin, University of California.
Development, implementation and lessons learned from the Northwest Forest Plan Michael W. Collopy Department of Natural Resources and Environmental Science.
National Resources Inventory by Robert N. Jones State Conservationist USDA-Natural Resources Conservation Service.
We have tested the accuracy of borehole temperature profiles in tracking surface air temperatures on short timescales (< 20 y) by direct comparison of.
Warranty Analysis. Why Customer Value Proposition  Improve field reliability of the products  Reduce downtime of products Supplier Value Proposition.
Copyright © Cengage Learning. All rights reserved.
F I A Forest Inventory and Analysis Program The Nation’s Forest Census 2010 FIA Business Update W. Brad Smith Krystal Fleeger Draft 2010 Annual Report.
Salt Lake City, UT March 22, 2011 FIA. Provide an update on FIA Share Information on Analysis & Techniques research Seek Feedback  Are we helping you?
Transportation leadership you can trust. presented to TRB Census Data for Transportation Planning Meeting presented by Kevin Tierney Cambridge Systematics,
American Community Survey Presented at the Meeting of the National Neighborhood Indicators Partnership Susan Schechter May
How do we get from here to there? FIA FIA National User Group Meeting March 20, 2014 Salt Lake City, UT.
Wisconsin’s Continuous Forest Inventory State Forest Working Group Meeting Plymouth, WI May 10, 2006 Teague PrichardChip Scott WDNR State Lands SpecialistUSDA.
Rogue Valley LiDAR Mid Rogue River, South Roseburg, Rock Cr, Upper Coquille Flown in 2012 ~1.4 Million Acres ~650K BLM/ODF.
Missouri Vocational Rehabilitation Quality Assurance Continuous Quality Improvement.
An Overview of the Forest Inventory and Analysis Program.
F orest I nventory and A nalysis The Nation’s Forest Census Criteria and Indicators state of the process Criterion 2 presented by W. Brad Smith Associate.
TREND DATA AREA Forest area, Forest area by region, Productive forest area Annual harvest area by method Forest area by stand size.
Status of Changes Recommended in 2006 and 2007 by Clients Sally Campbell (for Sue Willits) PNW FIA PNW Research Station Portland, OR.
Quantitative Estimates of Biomass and Forest Structure in Coastal Temperate Rainforests Derived from Multi-return Airborne Lidar Marc G. Kramer 1 and Michael.
Planning for Inventory & Monitoring Chip Scott National Inventory & Monitoring Applications Center (FIA-NIMAC) Northern Research Station U.S. Forest Service.
NRSFIA RMT. Base Program Expectations Sample Intensity of 1 plot per ~6000 acres –Partner paid intensifications an option Inventory cycle of 7 years in.
Sensors for Mapping Soil pH Eric Lund, Veris Technologies, Salina, KS Sensors for Crop Management Conference Stillwater OK January 17, 2008.
DO NOT CITE OR QUOTE 1 Status Report on the National Woodland Owner Survey Brett J. Butler USDA Forest Service NE-FIA User’s Group Meeting April 13, 2004.
The impacts of land mosaics and human activity on ecosystem productivity Jeanette Eckert.
The US National Greenhouse Gas Inventory of Forests: Where We’ve Been and Where We’re Going Christopher W. Woodall with Domke, Smith, Coulston, Healey,
FIA-IM Forest Inventory and Analysis Information Management.
U.S. Forest Inventory and Analysis Program On the recommendations of the Blue Ribbon Panel on Forest Inventory FIA Progress Update.
Spatial Analysis of Large Tree Distribution of FIA Plots on the Lassen National Forest Tom Gaman, East-West Forestry Associates, Inc Kevin Casey, USDA-FS.
Research - Alaska Analysis Team – Anchorage Bill van Hees – Team leader Bert Mead – Research forester Beth Schulz – Research forester Ken Winterberger.
The effects of the 2002 Hayman Fire on the ponderosa pine/bunch grass ecosystem Nick Kelley Blake Schnebly
Sharon Stanton & FIA National Indicator Leads RECOMMENDATIONS FOR ENHANCED FOREST INDICATORS.
Effects of Climate Change on Ecosystems and Natural Resources of the Yukon River Basin.
NRSFIA RMT. FIA Budget Situation FIA Funding Source FY10 (mm $) FY11 (mm $) FY12 (mm $) FY13 (mm $) FY14 P.P. (mm $) FY14 Senate (mm $) FY14 House (mm.
Conifer Mortality Estimates Using Forest Inventory and Analysis’s Annual Inventory System Michael T. Thompson Forest Inventory and Analysis Interior West.
INFORMATION MANAGEMENT Liz LaPoint Regional Management Team December 2013.
Pacific FIA Data Collection Team - Portland. Team functions Collect P2 (FIA) Annual Inventory data 1 plot per 6,000 ac. Visit 10% (1 panel) per year (10.
CONDUCTING TESTS FOR STATISTICALLY-SIGNIFICANT DIFFERENCES USING FOREST INVENTORY DATA James A. Westfall Scott A. Pugh John W. Coulston U.S. Forest Service.
FIA Program News PNW-FIA Client Meeting Olympia, WA April 4, 2007.
2015 Regional Management Team Meeting Albany, New York Group Leader Update Bob Ilgenfritz Data Collection.
All State lands within New York State: State Forest, Forest Preserve, Wildlife Management Areas, Unique Areas, etc. Approximately = 4 million acres.
Evaluation of New Jersey Land Use Change in Relation to Spatial Proximity to Wetlands David Tulloch, Rick Lathrop, and Eric Yadlovski Center for Remote.
Analysis of Annual Forest Inventory Data: Examples from New York and Maine Eric Wharton and Will McWilliams Forest Inventory and Analysis Northeastern.
Hypothesis Testing. Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean μ = 120 and variance σ.
FIA Field Units, Brad Smith (WO), Anna Clark (PNW), Krystal Fleeger (PNW) F I A.
State of Alaska Alaska Housing Finance Corporation Weatherization Program.
Statistics Introduction.
Urban FIA Sample Design
Soil (and DWM) sampling on 2014 Tanana Pilot Inventory
Interior West FIA “Virtual” User Group Meeting
FIA Implementation 2005: Status and Prospects
National FIA Strategic Plan
Bob McGaughey Pacific Northwest Research Station
USDA Forest Service Region 5 Wilderness Recreation Use Monitoring Project Robert Mason and Erik Murdock Project being conducted by USDA Forest Service.
Group Leader Update Bob Ilgenfritz Data Collection
Big data for Global Change Ecology (Biogeography)
Presentation transcript:

Southwest Tanana Susitna & Copper River Porcupine & Upper Yukon Coastal Middle & Lower Yukon F F OREST I I NVENTORY & A A NALYSIS INTERIOR ALASKA INVENTORY Full intensity grid (1 plot per 6,000 acres = 56500). Used in coastal AK and lower 48 states. Only forested plots (a subsample of all possible plots shown=23600) are inventoried. Issue: What is the inventory sampling design that will allow us to estimate the status and trends of the forest resources in interior Alaska in a cost effective, accurate, unbiased, and reasonably current fashion? Yukon River Tanana River none (not forested)North Slope (annual) & & 1973 Last InventoryArea (Interior shaded)

Sampling design Based on the standard intensity grid (1 plot per 6,000 acres) in productive forestland areas (the river corridors), with ¼ intensity (1 plot per 24,000 acres) in large areas of non-productive forestland. Remotely sensed images would be used to stratify the sample. LIDAR sampling of some productive and nonproductive plots. All forested plots within each of the 5 interior areas would be visited over a 4-year period (periodic design) rather than visiting a sub-sample of all plots across the entire 326,000,000 acres each year (annual design). Cycle length and remeasurement interval would be 20 years (vs standard 10 years). National core field plot design and data collection protocols. ESTIMATED ANNUAL COST: $2,073,000. This design would inventory approximately 16 million acres per year and allow completion of the statewide inventory every 20 years. The cost for non-productive and productive forestland is low ($0.12/acre). Areas of rapid change or natural disturbance can be sampled relatively quickly within the cycle. Statewide averages would be a mixture of old estimates and new data for many years. Trends would not be available for statewide changes, but would be based on periodic re- measurements of sections of the state. Full intensity grid (1 plot per 6000 acres) in productive areas – river corridors. 1/4 intensity (1 plot per 24,000 acres) in non-productive areas. Only forested plots (a subsample of all possible plots shown) are inventoried. Periodic Inventory - 20-year cycle Tanana River Yukon River

Tentative implementation schedule Southwest Tanana Susitna & Copper River Porcupine & Upper Yukon Coastal Middle & Lower Yukon noneNorth Slope 2004 (annual) Inventory dateArea (Interior shaded) Implementation depends on: - Client interest - Amount of resource - Change in resource - Logistic concerns Matanuska/Susitna Valley and Copper River regions are planned for initiation of interior inventory. The determining factors are: Proximity to Anchorage – gives data collection team opportunity to fine tune the system while close to home. Susitna Valley is a significant forest resource in terms of quantity and proximity to users Both Susitna Valley and Copper River regions contain forests that changed dramatically over recent years.

background 30 years since last set of inventories in Interior Alaska Inventory provides both current status as well as trends over time Trend can be determined with rolling average (with annual inventory) or with periodic comparisons (with periodic inventory). Error estimates and reliability of data are different for each. Although FIA is a nationally consistent program, it is recognized that Alaska, Puerto Rico, and the Pacific Islands are different: –Different sampling design –Different cycle length However, will follow national standards for: –Plot design –Compilation methods –Reporting