GIS Applications in Wildlife Sciences – Spring semester 2009, NR 505

Readings and Internet Resources
Home Range

Bookhout TA (editor) 1994. Research and  Mangement Techniques for Wildlife and Habitats pp.394-403, The Wildlife Society, Bethesda , Maryland .

Horne JS and EO Garton 2006. Likelihood cross-validation versus least squares cross-validation for choosing the smoothing parameter in kernel home-range analysis, Journal of Wildlife Management 70(3):641-648.

Gitzen RA, JJ Millspaugh, and BJ Kernohan, 2006. Bandwidth selection for fixed-kernel analysis of animal utilization distributions, Journal of Wildlife Management 70(5):1334-1344.

Horne, J. S. and E. O. Garton.  2006. Likelihood Cross-validation vs. Least Squares Cross-validation for Choosing the Smoothing Parameter in Kernel Home Range Analysis. Journal of Wildlife Management 70:641-648

Horne, J. S., E. O. Garton, and K. A. Sager.  2007.  Correcting Home Range Models For Sample Bias. Journal of Wildlife Management 71:996-1001

Horne, J. S., E. O. Garton, S. M. Krone, and J. S. Lewis.  2008.  Analyzing Animal Movements using Brownian Bridges. Ecology 88:2351-2363

Horne, J. S., E. O. Garton, and J. L. Rachlow.  2008.  A Synoptic Model of Animal Space Use: Simultaneous Analysis of Home Range, Habitat Selection, and Inter/Intra-specific Relationships.  Ecological Modelling 214:338-348.

Hawth’s Tools             http://www.spatialecology.com/

Home Range Tool       http://blue.lakeheadu.ca/hre/

Animal Movement      http://www.absc.usgs.gov/glba/gistools/

Likelihood Cross Validation Tool

Resource Selection

Garton EO, MJ Wisdom, FA Leban, and BK Johnson, 2001. Experimental design for radiotelemetry studies, pp. 15-42 in Radio Tracking and Animal Populations, Academic Press.

Garshelis DL, 2000. Delusions in habitat evaluation: Measuring use, selection, and importance, pp111-165 in Boitani L and TK Fuller (editors) Research Techniques in Animal Ecology, Columbia University Press, New York .

Manly BFJ, LL McDonald, DL Thomas, TL McDonald, and WP Erickson, 2002. Resource Selection by Animals pp.83-117, Kluwer Academic Publisher, Dordrecht/Boston/London.

Beck JL, JM Peek, and EK Strand, 2006. Estimates of elk summer range nutritional carrying capacity constrained by probabilities of habitat selection, Journal of Wildlife Management 70(1):283-294.

Millspaugh JJ, RM Nielson, L McDonald, JM Marzluff, RA Gitzen, CD Rittenhouse, MW Hubbard, SL Sheriff, 2006. Analysis of resource selection using utulization distributions, Journal of Wildlife Management 70(2):384-395.

Leban FA, MJ Wisdom, EO Garton, BK Johnson, and JG Kie, 2001. Effect of sample size on the performance of resource selection analysis, pp. 291-307 in Radio Tracking and Animal Populations, Academic Press.

Dewar NE , 2006. Development and evaluation of inductive and deductive models of summer elk (Cervus elaphus) resource suitability in Northwestern Ontatio, Masters Thesis, Department of Biology, Lakehead University, Thunder Bay, Ontario. pdf

Habitat Models

Aycrigg J and G Beauvais 2008. Novel approaches to mapping vertebrate occurrence for the Northwest GAP Analysis project. Gap Analysis Bulletin No. 15, February 2008. pdf

Rachlow JL and LK Svancara 2006. Prioritizing habitat for surveys of an uncommon mammal: a modeling approach applied to pygmy rabbits, Journal of Mammology 87(5):827-833.

Osborne PE , JC Alonso, RG Bryant, 2001.  Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards, Journal of Applied Ecology 38(2):458-471.

Stoms D, F Davis, C Cogan 1992. Sensitivity of wildlife habitat models to uncertainties in GIS data, Photogrammetric Engineering and Remote Sensing 58:843-850.

Landscape and Fragmentation Analysis with Fragstats

Cushman S.A., K. McGarigal, M.C. Neel, 2008. Parsimony in landscape metrics: Strength, universality, and consistency, Ecological Indicators 8:691–703.

De Beer Y.  and R.J. van Aarde, 2008. Do landscape heterogeneity and water distribution explain aspects of elephant home range in southern Africa’s arid savannas?, Journal of Arid Environments 72:2017–2025

Grainger1 M., R. van Aarde1, and I. Whyte, 2005. Landscape heterogeneity and the use of space by elephants in the Kruger National Park, South Africa, African Journal of Ecology, 43, 369–375

Herrera, L.P. P. Laterra, N.O. Maceira, K. D. Zelaya, and G.A. Martı´nez, 2009. Fragmentation Status of Tall-Tussock Grassland Relicts in the Flooding Pampa, Argentina, Rangeland Ecology and Management 62:73–82.

Kong F. and N.Nakagoshi, 2006. Spatial-temporal gradient analysis of urban green spaces in Jinan, China, Landscape and Urban Planning, 78:147–164.

Arjan J. H. Meddens, Andrew T. Hudak, Jeffrey S. Evans, William A. Gould and Grizelle Gonza´lez, 2008. Characterizing Forest Fragments in Boreal, Temperate, and Tropical Ecosystem, Ambio, 37,7–8, 569-576.

Distance measures and functional connectivity

Theobald, D. M. 2005. A note on creating robust resistance surfaces for computing functional landscape connectivity. Ecology and Society 10 (2): r1. [online] URL: http://www.ecologyandsociety.org/vol10/iss2/resp1/

Rothley, K. 2005. Finding and Filling the “Cracks” in Resistance Surfaces for Least-cost Modeling. Ecology and Society 10(1): 4. [online] URL: http://www.ecologyandsociety.org/vol10/iss1/art4/

Finn, D.S., D.M. Theobald, N.L. Poff, and W.C. Black, IV. 2006. Spatial population genetic structure and limited dispersal in a Rocky Mountain alpine stream insect. Molecular Ecology 15:3553-3566.

Theobald DM, MODELING FUNCTIONAL LANDSCAPE CONNECTIVITY, ESRI Users Conference, http://gis.esri.com/library/userconf/proc02/pap1109/P1109.HTM

Sork VL, FW Davis , PE Smouse, VJ Apsit RJ Dyer, JF Fernandez-m, and B Kuhn, 2002. Pollen movement in declining populations of California Valley oak, Quercus lobata: where have all the fathers gone? Molecular Ecology 11:1657-1668.

Keyghobadi N, J Roland, SF Matter, and C Strobeck, 2005. Among- and within-patch components of genetic diversity respond at different rates to habitat fragmentation: an empirical demonstration, Proceedings of the Royal Society B 272:553-560.

Casterline M, E. Fegraus, E. Fujioka, L. Hagan, C. Mangiardi, M. Riley, and H. Tiwari, 2003. Wildlife corridor design and implementation in Southern Ventura County, Masters Thesis, Bren School of Environmental Science and Management, Santa Barbara, California. pdf

Functional Connectivity extension   http://www.nrel.colostate.edu/projects/starmap/funconn_index.htm

Remote Sensing

Remote sensing – An overview: http://www.csc.noaa.gov/products/sccoasts/html/remote.htm

Dubyah R. and JB Drake, 2000. Lidar remote sensing for forestry. Journal of Forestry 98(6):44-46.

Homer CG, TC Edwards, RD Ramsey 1993. Use of remote sensing methods in modeling sage grouse winter habitat. Journal of Wildlife Management 57(1):78-84.

Debinski DM, K Kindscher , ME Jakubauskas, 1999. A remote sensing and GIS-based model of habitats and biodiversity in the Greater Yellowstone Ecosystem, International Journal of Remote Sensing 20(17):3281-3291.

Presentations

Introduction - Home Range

Home Range (Jon Horne)

Resource Selection

Habitat Models

More Habitat Models and Accuracy Assessment

Fragmentation Analysis

LC-Path-FunConn

RemoteSensing

Laboratory Exercises

Assignment 1 - Home Range

Assignment 2 - Resource Selection

Assignment 3 - Habitat Models

Habitat Models Data

Prep for Final Presentation; prepare a short document with the following information to discuss
with instructor (Eva) during week 4 or 5.
           Short introduction
           Objective/hypothesis
           Available data
           Analysis methods
           Expected results

 Assignment 4 - Least cost path analysis

         Least Cost Path Data

Assignment 5 - Functional Connectivity - Lynx Example in FunConn User's Guide

Assignment 6 - Remote Sensing

  Remote Sensing Data

Final Project Guidelines

Students give a short presentation on a self selected topic, 10 minutes presentation and 5 minutes for questions. The topic and analysis techniques should be relevant to the topics we have covered in NR505. Please visit with the instructor if you are uncertain on what to do or if you would like feed back before you start working on your project (email evas@uidaho.edu for an appointment of visit during the class hours).

General project presentation outline:
       INTRODUCTION
               Justification/Scope of study
                Objectives/Hypotheses
       MATERIALS and METHODS
                Data source and description
                Analysis techniques
       RESULTS
                Statement and Interpretation of Results
                Relationship to Other Research (if any)
       CONCLUSIONS
                Scientific or Management Implications
                Limitations of Study

Grading form
               

Grading

60% participation and completion of assignments
40% final project presentation 

Presentation Schedule

Monday March 9

9:30 - Justin Bohling
Assessing Resource Selection Among Three Sympatric Carnivores

9:45 - Amanda Price
Effects of Collaring on Post-Capture Movements in Pygmy Rabbits

10:00 - Lief Weichman
An Attempt at Modeling Habitat use at a Finer Scale

Wednesday March 11

9:30 - Jeff Gillan
Seasonal Resource Selection of Sage Grouse

9:45 - Amber Morris
Creating a Geospatial Model of Cattle Grazing Distribution

10:00 - Virginia Harris
Analyzing GAP Models of Sage Grouse Habitat

10:15 - Jody Vogeler
Selection of Research Plots on Moscow Mountain for Evaluating Cavity-nester Habitat Selection

Monday March 23

9:30 - Wade Tinkham
Sampling Design on Moscow Mountain
 

FINAL PRESENTATIONS

Monday, March 9, 9:30 - 10:15
Wednesday, March 11,  9:30 - 10:30
Monday March 23, 9:30 - 9:45

in the GIS lab (room 26)

CNR Faculty and Students are invited!