John Erb Minnesota Department of Natural Resources

Similar documents
John Erb, Carolin Humpal, and Barry Sampson, Minnesota Department of Natural Resources

John Erb, Minnesota Department of Natural Resources, Forest Wildlife Research Group

DISTRIBUTION AND ABUNDANCE OF WOLVES IN MINNESOTA, John Erb and Barry Sampson, Minnesota Department of Natural Resources

PROGRESS REPORT for COOPERATIVE BOBCAT RESEARCH PROJECT. Period Covered: 1 January 31 May Prepared by

Snowtrack surveys for Canada lynx presence in Minnesota west of Highway 53

Lynx and Other Carnivore Surveys in Wisconsin in Winter

Frontier and Remote (FAR) Area Codes: A Preliminary View of Upcoming Changes John Cromartie Economic Research Service, USDA

Moose Stratified Block Census, Management Unit 8-5, Okanagan Region, February 2005

A Comprehensive Inventory of the Number of Modified Stream Channels in the State of Minnesota. Data, Information and Knowledge Management.

VCS MODULE VMD0018 METHODS TO DETERMINE STRATIFICATION

2010 Wildlife Management Unit 347 moose

2010 Wildlife Management Unit 358 moose

2013 Aerial Moose Survey Final Results

13.1. Ecologists Study Relationships. Ecologists study environments at different levels of organization.

PREDICTING GRAY WOLF LANDSCAPE RECOLONIZATION: LOGISTIC REGRESSION MODELS VS. NEW FIELD DATA

An Internet-based Agricultural Land Use Trends Visualization System (AgLuT)

Chapter 6. Fundamentals of GIS-Based Data Analysis for Decision Support. Table 6.1. Spatial Data Transformations by Geospatial Data Types

Lake Tahoe Watershed Model. Lessons Learned through the Model Development Process

Assessing Fishery Condition: Population Estimation

Relationship between weather factors and survival of mule deer fawns in the Peace Region of British Columbia

StreamStats: Delivering Streamflow Information to the Public. By Kernell Ries

John Laznik 273 Delaplane Ave Newark, DE (302)

Monitoring tigers: Any monitoring program is a compromise between science and logistic constraints - Hutto & Young ! Vast landscape low density,

TESTING FUNCTIONAL RESTORATION OF LINEAR FEATURES PHASE I PROGRESS REPORT WITHIN BOREAL CARIBOU RANGE

THE NEW DNR LANDSLIDE HAZARDS PROGRAM

Information for File # MMJ; Trunk Highway (TH) 7 / Louisiana Ave. Interchange Project

Demography and Genetic Structure of the NCDE Grizzly Bear Population. Kate Kendall US Geological Survey Libby, MT Jan 26, 2011

Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan

Tracks as a non-invasive tool for monitoring large carnivores

BIOL 217 ESTIMATING ABUNDANCE Page 1 of 10

APPLICATION OF GIS IN COMPULSORY LAND ACQUISITION PROCESS. CASE STUDY: PARTS OF KAJIADO COUNTY SECTION OF THE STANDARD GAUGE RAILWAY

The Future of Soil Mapping using LiDAR Technology

MVP WMS, George Schorr

GIS Data and Technology to Support Transportation & MPO Decision-Making & Planning. using an Eco-Logical* Approach within the Kansas City Region

Sensitivity of FIA Volume Estimates to Changes in Stratum Weights and Number of Strata. Data. Methods. James A. Westfall and Michael Hoppus 1

International Atomic Energy Agency Learning programme: Radon gas. Module 4: Developing and Implementing a Representative Indoor Radon Survey

Palmerston North Area Traffic Model

An Internet-Based Integrated Resource Management System (IRMS)

Grant Opportunity Monitoring Bi-State Sage-grouse Populations in Nevada

2010 Wildlife Management Unit 347 moose

MOOSE POPULATION SURVEY. Tetlin National Wildlife Refuge Game Management Unit 12, eastern Alaska

Approach to Field Research Data Generation and Field Logistics Part 1. Road Map 8/26/2016

Chesapeake Bay Remote Sensing Pilot Executive Briefing

2009 WMU 525 Moose. Section Authors: Nathan Carruthers and Dave Moyles

NCTCOG Regional GIS Meeting 6-Years and Going Strong. May 15, 2018 hosted by: Tarrant County

Biometrics Unit and Surveys. North Metro Area Office C West Broadway Forest Lake, Minnesota (651)

Construction Project Data Management

PERCEPTION and Focus on Maps. Focus on Maps 8/29/2014. English and Dutch Maps from the 1600s and 1680 British Maps of N. Am.

KING FAHD UNIVERSITY OF PETROLEUM & MINERALS

LAKE SURVEY REPORT. Fisheries Management. DOW Number: Survey ID Date: 07/31/2017. Lake Identification. Lake Location. Legal Descriptions

APPENDIX IV MODELLING

A Change Detection Analysis of Agricultural Land Use from the 1970 s to 2001 in Dane County, Wisconsin and the Relationship to Urban Growth.

NEW YORK DEPARTMENT OF SANITATION. Spatial Analysis of Complaints

Developing Spatial Awareness :-

Number of Sites Where Spotted Owls Were Detected

The following maps must be provided as a part of the ADA. The appropriate scale for each map should be determined at the pre application conference.

Information for File MVP RMM

GIS Changing the World GIS Day November 15, 2017

KENTUCKY HAZARD MITIGATION PLAN RISK ASSESSMENT

You can't get there from here: Mapping access to Canada's teacher education programs

Remote Sensing Techniques for Renewable Energy Projects. Dr Stuart Clough APEM Ltd

Technical Memorandum #2 Future Conditions

Assessment and management of at risk populations using a novel GIS based UK population database tool

Chapter 1 Overview of Maps

TABLE 1 SSFL CHEMICAL SOIL BACKGROUND STUDY DATA QUALITY OBJECTIVES

Improvement of the National Hydrography Dataset for US Forest Service Region 3 in Cooperation with the National Forest Service

MISSOURI LiDAR Stakeholders Meeting

City of Hermosa Beach Beach Access and Parking Study. Submitted by. 600 Wilshire Blvd., Suite 1050 Los Angeles, CA

PEST MONITORING Describe GIS, and design and report possum population monitoring programmes using GIS

LUCAS: A possible scheme for a master sampling frame. J. Gallego, MARS AGRI4CAST

Enhancing Louisiana s GNIS

Putative Canada Lynx (Lynx canadensis) Movements across I-70 in Colorado

Appendix 8I. Population and Community Use Analysis. December 2010

GIS in Water Resources Fall 2018 Homework #1

Avoiding Nutrient Applications During Critical Periods with a Real-time Decision Support Tool: Wisconsin s Runoff Risk Advisory Forecast (RRAF)

COMMUNITY SERVICE AREA

YOPP archive: needs of the verification community

2018 Aerial Moose Survey

Sampling The World. presented by: Tim Haithcoat University of Missouri Columbia

DRAFT RURAL-URBAN POPULATION CHANGE IN PUERTO RICO, 1990 TO 2000

Grizzly Bears and GIS. The conservation of grizzly bears and their habitat was recognized as an important land use objective

5/15/ Use of Geographic Information System (GIS) in Grazing Management Muhammad Farooq Hussain Faisal 12-Arid-604 (M.

Quick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data

Copernicus Overview. Major Emergency Management Conference Athlone 2017


Regional offline land surface simulations over eastern Canada using CLASS. Diana Verseghy Climate Research Division Environment Canada

HORIZON 2030: Land Use & Transportation November 2005

Hennepin GIS. Tree Planting Priority Areas - Analysis Methodology. GIS Services April 2018 GOAL:

High resolution population grid for the entire United States

Minnesota s Changing Climate: Winter Impacts

Monitoring: Spore Trapping. Presenter John Rupe

Sampling. Where we re heading: Last time. What is the sample? Next week: Lecture Monday. **Lab Tuesday leaving at 11:00 instead of 1:00** Tomorrow:

Presented by: Bryan Bloch GIS Specialist DNREC Division of Watershed Stewardship

APPROVED JURISDICTIONAL DETERMINATION FORM U.S. Army Corps of Engineers

Basic Training Battlemind to Home Symposium. Sept

Status Report: Ongoing review of O-D cellular data for the TPB modeled area

A Regional Database Tracking Fire Footprint Each Year within the South Atlantic Region: Current Database Description and Future Directions

Navigating with Map & Compass. Nevada County Sheriff s Search & Rescue

Vegetation and Wildlife Habitat Mapping Study in the Upper and Middle Susitna Basin Study Plan Section 11.5

Aerial Thermal Infrared Imaging White - tailed Deer Counts Fort Thomas, Kentucky

Transcription:

John Erb Minnesota Department of Natural Resources

Research projects Population trend indices Scent-post survey Winter Track Survey Verified Depredations Population Size/Distribution Surveys every 10 years, now 5 1978; 1989; 1998; 2003; 2007

Gather wolf observation data from a variety of sources during 1 winter Delineate the extent of contiguous wolf range in MN Quantify how much is occupied range Estimate pack and territory size from radio-telemetry studies Calculate final population

Winter effort; record observations of wolf activity from November through April Use of natural resource professionals Opportunistic observations only

Minnesota DNR staff USFS, USFWS, USDA-WS, USGS County Land Departments Tribal/treaty natural resource staff Private forest products industry Natural resources consultants Wisconsin DNR

Main wolf survey USDA WS trapping data MN DNR winter track survey MN DNR scent post survey Radio-telemetry data

visual 16% scat 7% other 3% 2007 tracks 74% Visual 12.4% Scat 5.4% Other 4.5% 20071997 visual 10% scat 5% other 2% 1997 2003 tracks 83% Track 77.7%

Wolf Survey Observations (opportunistic) 1988-89 Human/Road Density Model Helps fill in sampling gaps Land Use / Land Cover Previous Observations Assume contiguous range

Township scale Township occupied if: Within total range, and: Pack detected; or Meets road/human model Roads < 0.7 km/km2 and humans < 4/km2; or Roads < 0.5 km/km2 and humans < 8/km2 Exclude lakes > 200 km 2

Calculate Road Density township roads and higher does not include forest roads. Township road density.shp 0-0.356 0.356-0.896 0.896-1.138 1.138-1.322 1.322-37930

Calculate Human Density most recent US census 2000census.shp 0-1 1-2 2-4 4-8 8 and above

Average mid-winter pack size Average territory size (MCP)

Area of total wolf range: 88,325 km² Area of occupied wolf range: 67,852 km² Adjust mean territory size (102 km² ) upwards by 37% to compensate for interstices (140 km² total) Divide occupied area by mean pack area = number of packs (485) Multiply by mean pack size (5.3 wolves) = number of pack wolves (2,567) Divide by 0.85 for single wolves in the population and add to packs = 3,020 CI obtained by bootstrapping pack/territory data

Comparison of Minnesota wolf surveys 1978-79 1988-89 1997-98 2003-04 2007-08 # field obsn s 480 1244 3451 1719 2710 Total range (km2) 36,500 60,178 88,325 88,325 88,325 Occupied Range (km2) 36,500 53,000 73,920 67,852 71,514 # radioed packs -- 108* 36 24 32 Ave. pack size -- 5.55 5.4 5.3 4.9 Ave. Territory Size (km2) -- 166 140 102 104 Estimated # packs -- 233 385 485 503 Population Estimate 1235 1500-1750 2445 3020 2,921 ~ 90% CI +/-500 +/-700 +/-650

Wolf Survey Methodology Future Research Direction Sample size and geographic representation of radio-collared packs. Standardize (sample size and temporal distribution) telemetry location data used to construct territory boundaries; interstitial spaces? Consider more quantitative approaches for delineating range Can we draw on home range methodology? MCMC mapping image reconstruction Occupancy models Spatial scale of range/occupancy mapping is the township scale best? Human/road density model time to update criteria? Add or replace with forest or deer criteria? When is a road a road? Confidence interval estimation uncertainty in range delineation? New methodology??? SUPE method; Genetic mark-recap? HOW PRECISE DO WE NEED TO BE? Cost-Benefits?

Scent Station Survey Routes

Winter Track Survey Routes

1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 160 140 120 100 80 60 40 20 Verified Depredations Pop Size/100 Mech - SNF 3-Year Ave. SS 3-Year Ave. WT Forest deer/mi2 20 18 16 14 12 10 8 6 4 2 0 0

Pack Census / Territory Mapping Various detection-corrected counts Mark-recapture (tags, DNA, biomarkers, etc) Aerial Survey w/ estimate or model of detection sightability model, distance-sampling, SUPE, etc Population Reconstruction CIR, CPUE Demography / Population Modeling

Subdivide study area into sample blocks (e.g., 3mi X 3mi grid) Stratify blocks according to expected wolf density (high, med, low) Select subsample from each strata (e.g., 50% high, 25% med, 10% low) After fresh snowfall, survey selected blocks from aircraft When track detected, must backtrack to start, and forward to wolves Record track path, or at least all sample blocks wolves entered Record group size Assumptions: All wolves/groups detected Track paths accurate and continuous Group counts accurate Spatially and temporally completed to ensure no double-counting

15% sampling rate 30% sampling rate