Quantification of understory fuels in Superior National Forest using LiDAR Data
|
|
|
- Brendan Owens
- 5 years ago
- Views:
Transcription
1 Webinar Series February 15, 2018 Quantification of understory fuels in Superior National Forest using LiDAR Data Jeff Irwin USGS Earth Resources Observation and Science Center Audio will start at 2 PM Eastern / 1 PM Central This webinar is listen only to ask questions please use the chat box in lower right of screen
2 Quantification of Understory Fuels in the Superior National Forest using Lidar Data Jeffrey Irwin Student Trainee (Geographer) Birgit Peterson Geographer Kurtis Nelson Physical Scientist United States Geological Survey Earth Resources Observation and Science Center (USGS EROS)
3 The True Lessons Learned IF YOU DO NOT LIKE: Getting Rained on Everyday Or Having your Tent Blow Away Or Being Eaten Alive by Mosquitos Then Fieldwork in Northern Minnesota during July is Just Not for You! Source: mpfire.wordpress.co m/tag/alaska/
4 Superior National Forest
5 Superior National Forest
6 Introduction The Problem Great Lakes Region Ecosystems are Changing Historically Fire Return Intervals were less than 100 years Primary Causes For Change Include: Logging Practices Fire Suppression Has Lead to an Increase in Shade Tolerant Species Balsam Fir (Abies balsamea)
7 The Problem Balsam Fir Balsam Fir Flamable Resinous Bark Easily Ignited Needles Susceptible to Spruce Budworm Infestation Needle Cast Leads to More Fuel Loading Continuous Ladder Fuel Photo by Nancy Wenner Source: /ht_bfir/ht_bfir.htm
8 The Problem Balsam Fir Spatial Extent and Magnitude are Unknown Large Amount of Remote Area Requires large amounts of time for field crews to measure Difficulty of Mapping Under and Mid-Story Vegetation Remotely The overstory canopy obscures the lower vegetation components Source:
9 Proposed Solution: To Map the Understory Fuels using Lidar Airborne Lidar Data are Commonly Used to Map Vegetation Characteristics Canopy Height Canopy Cover Source: s5.html
10 Data Collection Field Work
11 Data Collection Field Work Cover Line Intercept (CLI) Method Establish a Plot Center Measure one to four 66 (20 m) transects in each of the cardinal directions in order of North, East, South, West Working from the plot center out, each tree canopy that intersects the transect is measured
12 Data Collection Field Work Cover Line Intercept (CLI) Method The maximum height of the tree, over the transect, is recorded Species and size class of the tree are recorded Multiple trees of the same species that have canopies that are continuous over the transect are counted as one intercept, with the size class of the largest tree being recorded
13 Data Collection Field Work Cover Line Intercept (CLI) Method Phase 1 - Trees 12.5 cm DBH and Larger (Overstory) Phase 2 - Trees less than 12.5 cm DBH (Understory) US Forest Service Phase Plots Phase 2 33 Plots USGS EROS Phase 2 13 Plots Densiometer and Photographs 20 Plots
14 Data Collection Field Work Photo taken by Kurtis Nelson
15 Data Collection Field Work Photo taken by Kurtis Nelson
16 Data Collection Field Work Photo taken by Kurtis Nelson
17 Data Collection Field Work Photo taken by Kurtis Nelson
18 Data Collection Field Work Photo taken by Kurtis Nelson
19 Data Collection Field Work Photo taken by Kurtis Nelson
20 Data Collection Lidar Data Minnesota Department of Natural Resources Data Acquired Spring of 2011 Minnesota Elevation Mapping Project Woolpert, Inc. was the Vendor Available at: ev-lidar-arrowhead2011 Source:
21 Lidar Point Cloud Data Lidar Metrics LAStools Normalized and Converted to Height Above Ground (HAG) Regular Profile Normalized Profile
22 Lidar Point Cloud Data Lidar Metrics LAStools Normalized and Converted to Height Above Ground (HAG) Height Percentiles Covers the number of first returns above the cover cutoff divided by the number of all first returns and output as a percentage. Relative Densities the number of points in a certain height range divided by all points in the same horizontal area.
23 Understory Canopy Model Combining the Field Data with the Lidar Metrics Understory Canopy Model Generation Field Data Averaged the Amount of CLI Transect Canopy for the Phase 2 Data Lidar Data Calculated the Lidar Metrics for a 20 m Radius for each Plot Simple Regression r with the relative density 2 4 meters metric Lidar Metric Name Height Percentile Divisions 5th, 10th, 20th, 30th, 40th, 50th, 60th, 70th, 80th, 90th, 95th, 99th Cover Total Cover, Cover > 4 m, Cover > 6 m, Cover > 8 m, Cover > 10 m, Cover > 12 m, Cover > 14 m, Cover > 16 m, Cover > 18 m, Cover > 20 m, Cover > 25 m, Cover > 30 m, Cover > 35 m, Cover > 40 m Relative Density 0 to 2 m, 2 to 4 m, 4 to 6 m, 6 to 8 m, 8 to 10 m, 10 to 12 m, 12 to 14 m, 14 to 16 m, 16 to 18m, 18 to 20 m, 20 to
24 Understory Canopy Model Combining the Field Data with the Lidar Metrics Understory Canopy Model Generation Trial and Error Multiple Regression R Multiple Regression with the Leaps Package R Height of the 50 th Percentile of Returns Relative Density from 8 to 10 m Total Cover
25 Understory Canopy Model Initial Model Validation Understory Canopy Model Inspection Values < 0 Inspection Did Not Reveal Extreme Negative Values Math Confirmed at 44 Random Pixels Large Areas with Low Amounts of Canopy
26 Understory Canopy Model Initial Model Validation Understory Canopy Model Inspection Monitoring Trends in Burn Severity (MTBS) Data Dark Areas Appear to be Fire Scars MTBS only Maps Fires that are Greater Than 500 Acres
27 Understory Canopy Model Initial Model Validation Understory Canopy Model Inspection LANDFIRE Disturbance Data
28 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Products of Interest Forest Type Map Live Crown Base Height Model Crown Fuel Base Height Model
29 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Binary Rasters Used to compare the understory cover model to the forest type map Series generated at selected thresholds of understory cover
30 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Forest Type Map Compared to Understory Canopy Model through Binary Raster Data Raw Area Results were Uninformative
31 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Forest Type Map Compared to Understory Canopy Model through Binary Raster Data Raw Area Results were Uninformative Normalized Results Balsam Fir Aspen/Paper Birch EV Code 11 Quaking Aspen EV Code 91 Paper Birch EV Code 92
32 Exploring Other Data Sets National Land Cover Database (NLCD) NLCD Data Compared to Understory Canopy Model through Binary Raster Data Raw Area Results were Uninformative Normalized Area Results Deciduous Forest Class 41 Mixed Forest Class 43 Results Seem to Agree with Forest Type Results
33 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Crown Base Height (CBH) Two Products Crown Fuel Base Height Live Crown Base Height Compared to Understory Canopy Model Hypothesized an Inverse Relationship No Relationship Found Crown Fuel Base Height R Live Crown Base Height R
34 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Crown Base Height (CBH) Compared to Forest Type Map through Binary Raster Data Two Approaches Taken Break CBH into a Series of Greater than the Threshold Height Rasters Break CBH into a Series of Height Interval Rasters As CBH Increases the Pine Classes were Found to be Prominent Red Pine Code 2 White Pine Code 3 Normalized Area 0.0e e e e Normalized Forest Type Areas by C Forest Type Jack Pine Code 1 Crown Fuel Base Height
35 Exploring Other Data Sets Aaron Poznanovie and Michael Falkowski, University of Minnesota Crown Base Height (CBH) Normalized NLCD Class Area by Cr Compared to NLCD Data through Binary Raster Data Two Approaches Taken Break CBH into a Series of Greater than the Threshold Height Rasters Break CBH into a Series of Height Interval Rasters As CBH Increases the Evergreen Forest Class (Class 42) was Found to be Prominent Results Appear to be in Agreement with the Forest Type Results Normalized Area 0.0e e e e NLCD C Crown Fuel Base Height
36 Exploring Other Data Sets Peter Wolter, Iowa State University Maps of Basal Area for Tree Species Total Conifer Hardwood Balsam Fir White Spruce Black Spruce White Pine Red Pine Jack Pine Cedar Tamarack
37 Exploring Other Data Sets Peter Wolter, Iowa State University Balsam Fir Basal Area Map Broken into Binary Rasters for 5 Classes Class 1: 0 to sq. m per pixel Class 2: to sq. m per pixel Class 3: to sq. m per pixel Class 4: to sq. m per pixel Class 5: to sq. m per pixel
38 Exploring Other Data Sets Peter Wolter, Iowa State University Balsam Fir Basal Area Map Balsam Fir Basal Area Class Raster Data Compared to Understory Cover Binary Raster Data Raw Area Class 5 Prominent in the Mid to High Range of Understory Percent Cover (UPC > 40% to UPC >200%) Normalized Area Class 5 Prominent in the Mid to High Range of Understory Percent Cover (UPC > 40% to UPC >200%)
39 Exploring Other Data Sets Peter Wolter, Iowa State University Balsam Fir Basal Area Map Balsam Fir Basal Area Class Raster Data Compared to Understory Cover Binary Raster Data Raw Area Class 5 Prominent in the Mid to High Range of Understory Percent Cover (UPC > 40% to UPC >200%) Normalized Area Class 5 Prominent in the Mid to High Range of Understory Percent Cover (UPC > 40% to UPC >200%)
40 Exploring Other Data Sets Peter Wolter, Iowa State University X =
41 Exploring Other Data Sets Peter Wolter, Iowa State University Balsam Fir Understory Cover Map
42 Are these products any good?
43 Field Validation Field Work May Learning Experience Few Mosquitos But you might see Snow and Frost Photo taken by Jeff Irwin
44 Field Validation Field Work May Learning Experience Few Mosquitos But you might see Snow and Frost Plus, it s a good time to meet new friends Photo taken by Jeff Irwin
45 Field Validation Field Work Cover Line Intercept (CLI) Method May Phase 2 Plots Densiometer Readings Photographs Photo taken by Jeff Irwin
46 Field Validation Comparing the Plot Data to the Understory Cover Model Measured versus Predicted Results R R 0.69 Mean Difference 14.3% Mean Absolute Difference 47.0%
47 Field Validation Comparing the Plot Data to the Balsam Fir Understory Cover Model Measured versus Predicted Results R R 0.42 Predicted Balsam Fir Understory Cove R^2 = y = x Balsam Fir Understory Cover Model Valid Measured vs Predicted Understory Cove Measured Predicted _Alt 154_W Measured vs Predicted Balsam Fir Unde _Extra _NW Mean Difference 14.8% Mean Absolute Difference 26.2% Min = % Max = 75.77% Mean = 14.75% _Alt 154_W Measured Balsam Fir Understory Cover (%) Measured vs Predicted Balsam Fir Under (Mesured - Predicted) _Extra _NW Min = 1.09% Max = 75.77% Mean = 26.24% _Alt 154_W Absolute Measured vs Predicted Balsam Cover Difference _Extra _NW
48 More Models Building and Validation Model Stratified Random Sample 1 Stratified Random Sample 2 80% Training 20% Testing Random Sample 3 80% - 20% Random Sample 4 (Plot 62 Withheld) 70% Training 30% Testing Random Sample 3 Original 4 Transect Training - 1 Transect Test Original with Plot 121 R Variables Validation R 2 Mean Difference Mean Absolute Difference p50 d8-10m TotCov p40 d14-16m TotCov p50 d8-10m TotCov p50 d8-10m TotCov p50 d8-10m TotCov p50 d8-10m TotCov p50 d8-10m TotCov p50 d8-10m TotCov % 4.11% 0.81% 8.38% % 14.30% 8.79% 14.18% 28.89% 34.26% 25.81% 37.42% 26.06% 47.04% 33.47% 46.88%
49 Summary An understory cover model has been produced MTBS and LANDFIRE disturbance data have increased confidence in the model Comparison of the understory cover model to the University of Minnesota forest type map revealed an apparent correlation between the amount of understory cover and the balsam fir aspen/paper birch, paper birch, and quaking aspen forest types NLCD data supports that agreement
50 Summary Continued No relationship was found between the understory cover model and CBH Areas with high CBH seem to be occupied by pine species A relationship between the understory cover model and the amount of balsam fir basal area appears to exist areas with medium to high amounts of understory cover appear to have higher amounts of balsam fir basal area A balsam fir understory cover model seems possible
51 Summary Continued Fieldwork has been conducted to validate the understory cover model and the balsam fir understory cover model Additional models have been built from random subsets of the plot data and the models seem to be honing in on: Height of the 50 th percentile of returns Relative density between 8 and 10 meters Total cover
52 Conclusions With lidar data, it appears to be possible to map understory cover More plot measurements could improve modeling In this instance, lidar data alone could not be used to identify tree species Lidar data need to be combined with other data sets to map understory balsam fir Determining which factors influence the location of understory balsam fir is a challenging problem
53
54 Webinar Series March 15, 2018 Monitoring the response of moose to large fires in Minnesota. Mike Schrage Wildlife Biologist Fond du Lac Resource Management Division
Appendix B: Site Index Curves for Selected Tree Species. Interpreting Site Index Curves
199 Appendix B: Site Index Curves for Selected Tree Species Interpreting Site Index Curves Site index is the height to which trees will grow over a given period usually 50 years in the Lake States. Trees
8) Which of the following species is best adapted to poorly drained sites? a) Bur oak b) Eastern red cedar c) Black ash d) Yellow birch
School Score Wisconsin Envirothon 2004 Forestry Exam Answer the following questions based on the species description and graphic to the right. 1) This tree is the state tree of Wisconsin and is prized
Forestry Applications of LiDAR Data Funded by the Minnesota Environment and Natural Resources Trust Fund
Conservation Applications of LiDAR Data Workshops funded by the Minnesota Environment and Natural Resources Trust Fund Conservation Applications of LiDAR Data Workshops funded by: Minnesota Environment
2015 Wisconsin Envirothon KEY Forestry Exam
2015 Wisconsin Envirothon KEY Forestry Exam Answers that are correct but differ strongly from answer key must be initialized by Station Captain as an approved answer prior to delivery to score stewards.
Jeffrey Pine-Mixed Conifer Forests in Northwestern Mexico. Scott Stephens Department of Environmental Science, Policy, and Management UC Berkeley
Jeffrey Pine-Mixed Conifer Forests in Northwestern Mexico Scott Stephens Department of Environmental Science, Policy, and Management UC Berkeley Sierra San Pedro Martir Mountains Northern Baja California
Red Pine Management Guide A handbook to red pine management in the North Central Region
Red Pine Management Guide A handbook to red pine management in the North Central Region This guide is also available online at: http://ncrs.fs.fed.us/fmg/nfgm/rp A cooperative project of: North Central
FOREST COMPOSITION AND STRUCTURE
FOREST COMPOSITION AND STRUCTURE Core Assessment Products 1. A map of the GAP classification cover types on all ownerships in the subsection(s) 2. A table summarizing the area in each of the GAP classifications.
Lab 13: Introduction to Cartographic Modeling
Lab 13: Introduction to Cartographic Modeling What You ll Learn: This Lab will primarily review and apply skills from previous Labs (especially Labs 8 through 11). This lab will focus on buffering, creating
SPECIES AND STAND DYNAMICS IN THE MIXED-WOODS OF QUEBEC'S BOREAL FOREST: A GUIDE FOR ECOSYSTEM MANAGEMENT
SPECIES AND STAND DYNAMICS IN THE MIXED-WOODS OF QUEBEC'S BOREAL FOREST: A GUIDE FOR ECOSYSTEM MANAGEMENT Boreal Mixedwoods 2012 Ecology and Management for Multiple Values June 17-20, 2012 A definition
Principal Investigator:
Quantifying partial harvest intensity and residual stand composition among stable and changing forest landowner groups in northern Maine Principal Investigator: Steven A. Sader, Professor and Director
Chapter 40a. Ch. 52 An Introduction to Ecology and the Biosphere
Chapter 40a Ch. 52 An Introduction to Ecology and the Biosphere Ecology: the scientific study of the interactions between organisms and the environment The ecological study of species involves biotic and
Notice is hereby given that bids will be received by the Unit Manager, ESCANABA MANAGEMENT UNIT, for certain timber on the following described lands:
DEPARTMENT OF NATURAL RESOURCES STATE OF MICHIGAN TIMBER SALE PROSPECTUS #6046 SCHEDULED SALE DATE AND TIME: 3:00 p.m. (local time) on December 19, 2017. LOCATION: ESCANABA OFFICE, 6833 HWY 2, 41 & M-35,
Envirothon New Brunswick
Envirothon New Brunswick Forestry Workshop Part 1 of 2 February 18, 2017 Bernie Daigle 452-4133 Bernard.Daigle@nrcan-rncan.gc.ca Outline Forest Inventory Forest Succession Tree Identification/Dichotomous
Forest Composition and Structure
C H A P T E R 3 Forest Composition and Structure Chippewa Plains/Pine Moraines and Outwash Plains Subsections Part 1 3.1 Forest Cover-Type on State Land Administered by DNR Forestry and Wildlife Chippewa
Forest Resources of the Black Hills National Forest
United States Department of Agriculture Forest Service Rocky Mountain Research Station August 22 Forest Resources of the Black Hills National Forest Larry T. DeBlander About the author Larry T. DeBlander
2013 Moose Habitat Survey
2013 Moose Habitat Survey Mike Schrage, Fond du Lac Resource Management Division Introduction Fire and timber harvest are generally believed to be beneficial to moose (Alces alces) through the creation
Restoring The North Shore Forest. Welcome!
Restoring The North Shore Forest Welcome! A bit about this evening History and current condition of North Shore Vegetation Info on North Shore Forest Collaborative How you can help make a difference on
2012 Moose Habitat Survey
2012 Moose Habitat Survey Mike Schrage, Fond du Lac Resource Management Division Introduction Fire and timber harvest are generally believed to be beneficial to moose (Alces alces) through the creation
Appendix C Site Specific Mitigation Measures for All Alternatives
Appendix C Site Specific Mitigation Measures for All Alternatives Unit: 111023 Soils: ELT 8, 11, 16 - Generally retain/return slash, woody debris, bark, stumps on site where appropriate during whole tree
Webinar Series December 15, 2016 Reconstructing Historical Fire Regimes and Forest Structure in Wisconsin s Red Pine Dominated Forests
2016-2017 Webinar Series December 15, 2016 Reconstructing Historical Fire Regimes and Forest Structure in Wisconsin s Red Pine Dominated Forests Jed Meunier Nathan S. Holoubek, Peter M. Brown, & Tricia
Assessment of Landscape Scale Forest Structure and Ecological Departure in Western North Carolina Josh Kelly
Assessment of Landscape Scale Forest Structure and Ecological Departure in Western North Carolina Josh Kelly Outline of Presentation Overview of Maps, Models, and Metrics ecap methodology sensu Low et
Nova Scotia Forest Inventory
Nova Scotia Forest Inventory Based on Forest Inventory Permanent Sample Plots Measured between 1994 and 1998 Report FOR 2000-1 TABLE OF CONTENTS 1.0 INTRODUCTION 1 1.1 Background 1 2.0 METHODS 2 3.0 RESULTS
Nantahala Pisgah NF Plan Process - Natural Range of Variation. Gary Kauffman National Forests in NC Ecologist
Nantahala Pisgah NF Plan Process - Natural Range of Variation Gary Kauffman National Forests in NC Ecologist 1 NRV Plan Directives indicate must contain plan components, including standards or guidelines,
Cooper Creek ECS Ecological Departure Analysis
Cooper Creek ECS Ecological Analysis Methods: - LIDAR derived Canopy height and canopy density data obtained from Luis Miguel Verissimo of Michigan Tech university - LIDAR derived Canopy Height/Density
Silviculture Research on the Penobscot Experimental Forest
Uneven-Aged ilviculture Research on the Penobscot Experimental Forest Laura. Kenefic John C. Brissette UDA Forest ervice Northeastern Research tation Penobscot Experimental Forest 4,000+ acre forest Located
FOR 274: Forest Measurements and Inventory. Tree Age: Introduction. Tree Age: Terms. Tree Age and Site Indices Age Site Indices Variable Radius Plots
FOR 274: Forest Measurements and Inventory Tree Age and Site Indices Age Site Indices Variable Radius Plots Tree Age: Introduction Tree Age: Defined as the time elapsed since germination (or budding of
Silviculture Field Report
2014 Silviculture Field Report On behalf of the Forestry Futures Committee INTRODUCTION The Forestry Futures Trust (FFT) has distributed over 180 million dollars in support of eligible silviculture projects
Using Imagery and LiDAR for cost effective mapping and analysis for timber and biomass inventories
Using Imagery and LiDAR for cost effective mapping and analysis for timber and biomass inventories Mark Meade: CTO Photo Science Mark Milligan: President LandMark Systems May 2011 Presentation Outline
2015 Moose Habitat Survey
215 Moose Habitat Survey Mike Schrage, Fond du Lac Resource Management Division Introduction Fire and timber harvest are generally believed to be beneficial to moose (Alces alces) through the creation
Variable Method Source
Appendix S1 Appendix S1: Table S1 Plot variables Variable Method Source COVERS % shrub cover ocular estimate of shrub cover % forb cover ocular estimate of forbs % coarse woody debris % live overhead canopy
Cloquet Forestry Center 2005 Covertype Mapping Project
Cloquet Forestry Center 2005 Covertype Mapping Project Brian C. Loeffelholz Research Fellow Department of Forest Resources Guthrie Zimmerman Ph.D. Candidate Department of Fisheries, Wildlife and Conservation
Silviculture Art & science of establishing & tending trees & forests
Silviculture Art & science of establishing & tending trees & forests Karen Bennett, karen.bennett@unh.edu Extension Forestry Professor & Specialist Presented to NH Coverts, May 2015 Silviculture Actions
Clara Unit Card. Alternative 2 Acres: 19 Treatment Acres: 6 Stand Age: 106 Primary ELT: 16. Primary Treatment: Single-Tree Selection
Unit: 7-013-014 Total BA: 62 Forest Type: Quaking Aspen New Forest Type: Aspen/W.Spruce/Fir Primary Treatment: Single-Tree Selection Acres: 19 Treatment Acres: 6 Stand Age: 106 Primary ELT: 16 Treatment
Geographic range predicts photosynthetic and growth response to warming in co-occurring
SUPPLEMENTARY INFORMATION DOI: 10.1038/NCLIMATE2497 Geographic range predicts photosynthetic and growth response to warming in co-occurring tree species Site and species descriptions The experiment is
The State of Forestry in Minnesota (MN SAF Webinar)
The State of Forestry in Minnesota (MN SAF Webinar) Alan R. Ek Department of Forest Resources College of Food, Agricultural and Natural Resource Sciences University of Minnesota October 21, 2014; Cloquet,
Hands on R Final Project Greg Pappas
Understory Vegetation Response to Mountain Pine Beetle-Induced Lodgepole Pine Mortality in Rocky Mountain National Park, Colorado Introduction This study characterizes the response of understory vegetation
Uncompahgre Mesas Project Area 2015 Monitoring Report
Uncompahgre Mesas Project Area 15 Monitoring Report This report presents a summary of data from the Uncompahgre Mesas project area. Pre-harvest data were collected on 18 ½ acre plots beginning in 9 ( Original
Integrating field and lidar data to monitor Alaska s boreal forests. T.M. Barrett 1, H.E. Andersen 1, and K.C. Winterberger 1.
Integrating field and lidar data to monitor Alaska s boreal forests T.M. Barrett 1, H.E. Andersen 1, and K.C. Winterberger 1 Introduction Inventory and monitoring of forests is needed to supply reliable
The Influence of Stand Density on Mortality in California s Forests
The Influence of Stand Density on Mortality in California s Forests An Analysis of Inventory Data Michael Landram Regional Silviculturist, USDA Forest Service, R-5 Contributors and Collaborators Ralph
Mapping burn severity in heterogeneous landscapes with a relativized version of the delta Normalized Burn Ratio (dnbr)
Mapping burn severity in heterogeneous landscapes with a relativized version of the delta Normalized Burn Ratio (dnbr) Jay D. Miller USDA Forest Service 3237 Peacekeeper Way McClellan, CA 95652 Email:
Chapter 1: Purpose and Need
Chapter 1: Purpose and Need 1.1 Introduction The purpose of the Stony Project is to implement the 2004 Superior National Forest Land and Resource Management Plan (Forest Plan). The project s proposed activities
2.0 Plant /Tree Processes in the Boreal Forest
2.0 Plant /Tree Processes in the Boreal Forest 2.1 Processes common to most boreal plants a) All plants, animals, or anything living must have respiration which is the changing of energy from one form
Status and Trends in Forest Habitat Types of the Boreal Hardwood Transition
Status and Trends in Forest Habitat Types of the Boreal Hardwood Transition Mark D. Nelson U.S. Forest Service Northern Research Station 17 April 2018 Ashland, MN 1 Boreal Hardwood Transition = Bird Conservation
OptFuels Vegetation and Fuels Inputs
OptFuels Vegetation and Fuels Inputs Vegetation and Fuels Overview Spatial Data Inputs for OptFuels Modeling Stand and Fuelbed Dynamics Regeneration Modeling Disturbance Updating (Angora, Past Treatments)
Evaluating Terrain for Harvesting Equipment Selection
Evaluating Terrain for Harvesting Equipment Selection ABSTRACT C. J. Davis 1 State University of New York Syracuse, New York, USA and T. W. Reisinger Virginia Polytechnic Institute and State University
USDA Forest Service Northeastern Area State & Private Forestry
USDA Forest Service Northeastern Area State & Private Forestry NA-FR-01-94 HOW to Manage Jack Pine to Reduce Damage From Jack Pine Budworm Deborah G. McCullough, Steven Katovich, Robert L. Heyd, and Shane
Sierra Nevada Mixed-Conifer Species Response to Gap Openings. Jedediah Parr
Sierra Nevada Mixed-Conifer Species Response to Gap Openings Jedediah Parr Abstract Canopy openings have been used for years as a means of improving tree growth and health. However, little information
FIELD SURVEY FOR OLD FORESTS
FIELD SURVEY FOR OLD FORESTS Surveyor s name: Approx. center of forest Lat: Long: Site Name: Access point of forest Lat: Long: FOREST CHARACTERISTICS Presence of beech or hemlock Presence of large trees
LiDAR based sampling for subtle change, developments, and status
LiDAR based sampling for subtle change, developments, and status Erik Næsset Norwegian University of Life Sciences, Norway 2111 2005 Conclusions: 1. LiDAR is an extremely precise tool for measuring forest
2018 Moose Habitat Survey
2018 Moose Habitat Survey Mike Schrage, Fond du Lac Resource Management Division Introduction Fire and timber harvest are generally believed to be beneficial to moose (Alces alces) through the creation
Succession in the Forest
Curriculum Connection Grade 7 Science: Unit A: Interactions & Ecosystems (STS & Knowledge Outcomes 1, 3) Science 20: Unit D: Changes in Living Systems (20-D1.2k, 20-D1.3k) Biology 30: Unit D: Population
Forest Assessments with LiDAR: from Research to Operational Programs
Forest Assessments with LiDAR: from Research to Operational Programs David L. Evans Department of Forestry Forest and Wildlife Research Center Mississippi State University Forest Remote Sensing: Then and
White spruce (Sw) - Picea glauca
White spruce (Sw) - Picea glauca Tree Species > White spruce Page Index Distribution Range and Amplitiudes Tolerances and Damaging Agents Silvical Characteristics Genetics and Notes BC Distribution of
LiDAR enhanced Inventory
To keep that good wood, you need to know what you have and where it is! LiDAR enhanced Inventory ABCFP AGM, Vancouver 24 January, 2011 Roger Whitehead Canadian Wood Fibre Centre Victoria, BC Outline Introduction
Northern deciduous forest as wildlife habitat. Tom Paragi Alaska Department of Fish and Game Fairbanks
Northern deciduous forest as wildlife habitat Tom Paragi Alaska Department of Fish and Game Fairbanks Boreal food webs Pastor et al. 1996 Biodiversity and ecosystem processes in boreal forest. Pages 33-69
Appendix A Silvicultural Prescription Matrix Spruce Beetle Epidemic and Aspen Decline Management Response
Appendix A Silvicultural Prescription Matrix Spruce Beetle Epidemic and Aspen Decline Management Response Treatment objectives within the matrix are a combination of objectives for silvicultural, fuels,
FOR 274 Forest Measurements and Inventory. Written Take Home Exam
FOR 274 Forest Measurements and Inventory Written Take Home Exam Instructions: This exam is comprehensive of the material covered within the Forest Resources 274 class curriculum. The first question is
Harvesting Fuel: Cutting Costs and Reducing
Harvesting Fuel: Cutting Costs and Reducing Forest Fire Hazards Through Biomass Harvest By Don Arnosti Institute for Agriculture and Trade Policy Dr. Dalia Abbas, Dr. Dean Current University of Minnesota,
2017 Moose Habitat Survey
2017 Moose Habitat Survey Mike Schrage, Fond du Lac Resource Management Division Introduction Fire and timber harvest are generally believed to be beneficial to moose (Alces alces) through the creation
The Defoliators. Insect Defoliation Injury. Insect defoliation can be recognized readily by: 1. Absence of foliage,
The Defoliators Insect Defoliation Injury Insect defoliation can be recognized readily by: 1. Absence of foliage, 2. Raining of frass, i.e. foliage particles and fecal pellets, 3. Many insects fee only
Grand Blanc High School Nature Center Forestry Unit By: Stephen Applebee
Grand Blanc High School Nature Center Forestry Unit By: Stephen Applebee Target Grade/Subject: 10th Grade; High School Biology Overview: The main objective of this 5 to 6 day forest unit is to allow students
Trees and Forests. Why Trees? T-1 What Makes a Tree a Tree?
Trees and Forests Why Trees? We study the science of trees and forests as a way to learn scientific skills involved in classifying tree species, making observations, making inferences about observations,
Executive Summary. FIA-FSP Project Number: Project Title: Project Purpose: Management Implications:
Executive Summary FIA-FSP Project Number: Project Title: Project Purpose: Management Implications: Y081171 Equivalent clear cut area thresholds in large-scale disturbed forests The purpose of this project
Penobscot Experimental
United States Department of Agriculture Service NORTHERN RESEARCH STATION EXPERIMENTAL FOREST NETWORK NRS-INF-13-11 Revised 2017 The (PEF) is located in Bradley and Eddington, about 10 miles north of Bangor,
Supporting Online Material for
www.sciencemag.org/cgi/content/full/318/5853/1107/dc1 Supporting Online Material for Hurricane Katrina s Carbon Footprint on U.S. Gulf Coast Forests Jeffrey Q. Chambers,* Jeremy I. Fisher, Hongcheng Zeng,
Uneven-age Stand Management. a.k.a. Uneven-aged (Sized) Silviculture Walt Wintturi- Watershed to Wildlife
Uneven-age Stand Management a.k.a. Uneven-aged (Sized) Silviculture Walt Wintturi- Watershed to Wildlife Define Terms Review Concepts Uneven-age Stand At least three distinct age classes irregularly mixed
A tale of two forest types
A tale of two forest types Benjamin Ramage 1, Alison Forrestel 1,2, Max Moritz 1, and Kevin O Hara 1 1 Dept. of Environmental Science, Policy, and Management UC Berkeley 2 Point Reyes National Seashore
Sustaining Northern Forests in the face of Climate Change
Sustaining Northern Forests in the face of Climate Change USDA Forest Service Northern Research Station -Challenges -Opportunities -Actions Brian Palik, Ph.D. USDA Forest Service Northern Research Station
Pre-Prescribed Burn Monitoring of Red and White Pine Stands In Quetico Provincial Park. By Amy Adair December 2017
Pre-Prescribed Burn Monitoring of Red and White Pine Stands In Quetico Provincial Park By Amy Adair December 2017 Quetico Provincial Park acknowledges that the surveys summarized in this report were carried
Full-tree harvesting system aids forest management
Utah State University DigitalCommons@USU Aspen Bibliography Aspen Research 1969 Full-tree harvesting system aids forest management Z.A. Zasada J.C. Tappeiner Follow this and additional works at: https://digitalcommons.usu.edu/aspen_bib
Introduction. Plot Methods
54.06% of trees healthy in the 3800 foot elevation plot. The percentage of standing dead trees was also higher at the highest elevation plot, where 43.3% of trees were standing dead, compared with 8.0%
Forest Biomes. Chapter 9
Forest Biomes Chapter 9 9.1 Objectives ~Describe the characteristics of the coniferous forest. ~Explain adaptations that enable organisms to survive in coniferous forests. 9.1 Coniferous Forests Coniferous
Determining the Disturbance Effect on Forest Development for Use in Park Management Plans
Determining the Disturbance Effect on Forest Development for Use in Park Management Plans Bruce Larson, Faculty of Forestry, University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada;
Stand structure and fire behaviour. Dave Schroeder Wildfire Management Branch Alberta Agriculture and Forestry
Stand structure and fire behaviour Dave Schroeder Wildfire Management Branch Alberta Agriculture and Forestry Specifically Can stand structure be managed to reduce likelihood of wildfire damage to values
AVID. Assessing Vegetation Impacts from Deer. A citizen science project from the University of Minnesota Extension
AVID Assessing Vegetation Impacts from Deer A citizen science project from the University of Minnesota Extension 1 Created By: Kristi Sullivan Cornell University Peter Smallidge Cornell University Paul
Conifer restoration on the Duncan-Lardeau Flats Wildlife Properties. January 2006
Conifer restoration on the Duncan-Lardeau Flats Wildlife Properties January 2006 Prepared for Columbia Basin Fish and Wildlife Compensation Program 333 Victoria Street Nelson, B.C. Prepared by Brenda Herbison,
Second Wednesdays 1:00 2:15 pm ET
Second Wednesdays 1:00 2:15 pm ET www.fs.fed.us/research/urban-webinars This meeting is being recorded. If you do not wish to be recorded, please disconnect now. USDA is an equal opportunity provider and
Landscape-level biomass opportunities
Forest insect and disease management: Implications for biomass production Outline Landscape-level opportunities Historic or mappable agents Invasive pests on the horizon Site-level opportunities By species/
Destroyed Virgin Longleaf Pine Stand Lives-on Digitally
Destroyed Virgin Longleaf Pine Stand Lives-on Digitally John C. Gilbert, John S. Kush, and Rebecca J. Barlow 17 th Biennial Southern Silviculture Research Conference March 5-7, 2013 Shreveport, Louisiana
Simulating Regeneration Dynamics in Upland Oak Stands
Simulating Regeneration Dynamics in Upland Oak Stands Powered By Powered by: USDA Forest Service Southern Research Station Dr. David Loftis Powered By Powered by: Regen for Excel is a simulation model
Future Forest Conditions
Future Forest Conditions Claudia Regan Regional Vegetation Ecologist USFS Rocky Mountain Region cregan@fs.fed.us Acknowledgements Missy Dressen, Polly Hays, Greg Hayward, Don Vandendriesche, Kristen Pelz,
FIRESMART LANDSCAPES
FIRESMART LANDSCAPES Presentation objectives: Origin of Alberta s fuel management program FireSmart zones FireSmart landscapes framework Decision-support tools for assessing community wildfire threat Fuel
Assessment of North American Industrial Forests Disturbances, Biomass Extraction Growth Vigor
Assessment of North American Industrial Forests Disturbances, Biomass Extraction Growth Vigor Chengquan Huang 1, Feng Aron Zhao 1, Xin Tao 1, Ming Feng 1, Pui-Yu Ling 1, Samuel Goward 1, Karen Schleeweis
PREDICTING DIAMETER AT BREAST HEIGHT FROM TOTAL HEIGHT AND CROWN LENGTH
PREDICTING DIAMETER AT BREAST HEIGHT FROM TOTAL HEIGHT AND CROWN LENGTH Quang V. Cao and Thomas J. Dean Abstract Tree diameter at breast height (d.b.h.) is often predicted from total height (model a) or
Lab 8. Photointerpretation of (Ontario Boreal) Tree Species
Lab 8 Photointerpretation of (Ontario Boreal) Tree Species Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University Suggested Approach to Learning Photo- Interpreting
Evaluating the Ecological Impacts of Emerald Ash Borer (and Climate Change) in Black Ash Forests
Evaluating the Ecological Impacts of Emerald Ash Borer (and Climate Change) in Black Ash Forests -Background: black ash in the lake states and MN -The stresses facing black ash (EAB and climate) -Adaptation
Forest Technical Note
Forest Technical Note Nova Scotia Department of Natural Resources Executive Summary...1 Introduction..2 Methods.3 Results and Discussion...6 Conclusions.12 References...13 Appendix I..14 Appendix II...16
Landscape Change in the South Atlantic
Landscape Change in the South Atlantic Bradley A. Pickens North Carolina Cooperative Fish and Wildlife Research Unit, Department of Applied Ecology, North Carolina State University November 12, 2015 South
Methodologies of tropical forest carbon monitoring: Development and state-of-the-art for REDD+
Methodologies of tropical forest carbon monitoring: Development and state-of-the-art for REDD+ International Symposium on Southeast Asian Tropical Rain Forest Research related with Climate Change and Biodiversity,
Matanuska-Susitna Borough Timber Inventory 2006
Matanuska-Susitna Borough Timber Inventory 2006 1989 MSB Forest Management Plan 17 Forest Management Units (FMU) 138,000 acres classified forest land Approximately 84,700 acres Commercial Timber Land
Black Spruce- Lowland. Tower Birch Clearcut-w/Reserves Adjacent 6/5/2019
Minnesota Department of Natural Resource Division of Forestry 500 Lafayette Road St. Paul, MN 55155-4044 February 08, 2018 Notice of Annual Plan Additions Fiscal Year 2019 Harvest Plan Addition 4 This
What to do with a 60 + year old unmanaged red pine stand?
What to do with a 60 + year old unmanaged red pine stand? Background Red pine (Pinus resinosa) was extensively planted in the early parts of the 20 th century on abandoned agricultural land to control
Edge Forest Community Analysis Brad Dotson Altoona High School Field Research,
Edge Forest Community Analysis Brad Dotson Altoona High School Field Research, 2001-2002 ABSTRACT The objective of the project was to map out a forest community, and find out the s in tree comminutes on
Effects of a forest tent caterpillar (Malacosoma disstria Hbn.) outbreak in the boreal forest of western Quebec
Effects of a forest tent caterpillar (Malacosoma disstria Hbn.) outbreak in the boreal forest of western Quebec Julien MOULINIER PhD student Julien.Moulinier@uqat.ca François LORENZETTI Yves BERGERON Edmonton,
Sustainable Forest Management
Sustainable Forest Management 2015 Facts & Statistics Spring 2017 ISBN 978-1-4601-3520-4 ISSN 2368-4844 Agriculture and Forestry Annual Allowable Cut Sustainable forest management requires long-term planning.
PROJECT REPORTS 2003/2004
PROJECT REPORTS 2003/2004 The ecological basis of ecosystem management in the eastern boreal forest of Québec Sylvie Gauthier and Louis De Grandpré October 2003 Published: 24 October 2003 Related SFM Network
2/24/2009. The factors that determine what type of forest will grow in a region are temperature precipitation growing season soil land forms
FOREST FACTS Forestry 37% of Canada's land area covered by forests. Stretches in a continuous band from BC to NL. Commercial forests are forests that could be easily be harvested for timber. Non-commercial
County- Scale Carbon Estimation in NASA s Carbon Monitoring System
County- Scale Carbon Estimation in NASA s Carbon Monitoring System Ralph Dubayah, University of Maryland 1. Motivation There is an urgent need to develop carbon monitoring capabilities at fine scales and
Aspen and Oak Community Response to Restoration. Bobette Jones Coye Burnett
Aspen and Oak Community Response to Restoration Bobette Jones Coye Burnett Shade intolerant Aspen Life History Clonal: relies on vegetative reproduction between episodic seeding event Disturbance dependent:
Spruce and aspen regeneration following variable retention harvests at EMEND
Spruce and aspen regeneration following variable retention harvests at EMEND SFM Network Research Note Series No. 41 Highlights Survival of planted spruce was unaffected by the percentage of residual trees,