Dr. McGarigal’s overall professional goal, achieved through research, teaching, and outreach, is to improve our understanding of how landscapes are structured physically and biologically and the agents responsible for those patterns, how these patterns affect the distribution and dynamics of animal populations, how these patterns and processes change over time, and how to apply this information to better manage natural resources over multiple spatial and temporal scales. Accordingly, a major goal of his research program is to provide natural resource managers with information and tools that will enable them to become better stewards of healthy and sustainable ecosystems.
Current Major Projects
- Designing Sustainable Landscapes (DSL): A project of the North Atlantic Landscape Conservation Cooperative to model landscape changes driven by processes such as climate change and urban growth, assess the ecological consequences of those changes to ecosystems and species, and design land acquisition, management and restoration strategies to achieve the goal of biodiversity conservation in the northeastern United States
- Spatial Pattern Analysis Software for Quantifying Landscape Patterns (FRAGSTATS)
- Rocky Mountain Landscape Simulator (RMLANDS): Quantifying Dynamics in Landscape Structure and Wildlife Habitat Under Alternative Disturbance Scenarios; applications associated with public lands management in the Southwest and California
- Conservation Assessment and Prioritization System (CAPS): A software system for evaluating ecological integrity and prioritizing sites for protection, management and/or restoration
- Ecology and conservation of marbled salamanders in central Massachusetts
- Development of resistance surfaces for modeling connectivity for the design of conservation corridors
- Ecology and conservation of eastern indigo snakes in south-central Florida: individual-based spatially explicit population modeling
- Potential impacts of wind energy development on marine organisms in the Gulf of Maine: spatially-explicit modeling of species distribution and abundance
- Potential impacts of wind energy development on bald eagles in Maine: individual-based spatially explicit population modeling
- ECO 621 Landscape Ecology
- ECO 602/634 Analysis of Environmental Data
- ECO 632 Applied Multivariate Statistics for Ecological Data
Publications – Books
Leitão AB, J Miller, J Ahern, and K McGarigal. 2006. Measuring Landscapes: A Planners Handbook. Island Press, Washington, D.C.
McGarigal, K., S. Cushman, and S. G. Stafford. 2000. Multivariate Statistics for Wildlife and Ecology Research. Springer-Verlag, New York.
Publications–Refereed (2013 to present)
Zeller KA, K McGarigal, SA Cushman, P Beier, TW Vickers, and WM Boyce. In press. Sensitivity of resource selection and connectivity models to landscape definition. Landscape Ecology.
McGarigal K, KA Zeller, and SA Cushman. 2016. Multi-scale habitat selection modeling: Introduction to the special issue. Landscape Ecology 31: 1157–1160.
McGarigal K, HY Wan, KA Zeller, BC Timm, and SA Cushman. 2016. Multi-scale habitat selection modeling: A review and outlook. Landscape Ecology 31: 1161–1175.
Bauder JM, DR Breininger, MR Bolt, ML Legare, CL Jenkins, BB Rothermel, and K McGarigal. 2016a. Seasonal variation in eastern indigo snake (Drymarchon couperi) movement patterns and space use in penninsular Florida at multiple temporal scales. Herpetologica 72: 214-226.
Bauder JM, DR Breininger, MR Bolt, ML Legare, CL Jenkins, BB Rothermel, and K McGarigal. 2016b. The influence of sex and season on conspecific spatial overlap in a large, actively-foraging Colubrid Snake. PLoS ONE 11(8): e0160033.doi:10.1371/journal.pone.0160033.
Timm BT, K McGarigal, SA Cushman, and J Ganey. 2016. Multi-scale Mexican spotted owl (Strix occidentalis lucida) nest/roost habitat selection in Arizona and a comparison with single-scale modeling results. Landscape Ecology 31: 1209-1225.
Winiarski KJ, and K McGarigal. 2016. Effects of Photo and Genotype-Based Misidentification Error on Estimates of Survival, Detection and State Transition using Multistate Survival Models. PloS ONE 11(1):e0145640. doi:10.1371/ journal.pone.0145640.
Zeller KA, K McGarigal, SA Cushman, P Beier, TW Vickers, and WM Boyce. 2016. Using step and path selection functions for estimating resistance to movement: pumas as a case study. Landscape Ecology 31: 1319-1335.
Bauder JM, DR Breininger, MR Bolt, ML Legare, CL Jenkins, and K McGarigal. 2015. The role of the bandwidth matrix in influencing kernel home range estimates for snakes using VHF telemetry data. Wildlife Research 42:437-453.
Allyn, AJ, A McKnight, K McGarigal, CR Griffin, KJ Kuletz, D Cushing, and DB Irons. 2015. Evaluating a paired logistic regression model of presence-only data to map important habitat areas of the rare Kittlitz’s Murrelet (Brachyramphus brevirostris). Marine Ornithology 43:65-76.
Whiteley, AR, K McGarigal, and MK Schwartz. 2014. Pronounced differences in genetic structure despite overall similarities in ecology and life history for two Ambystoma salamanders in the same landscape. Conservation Genetics 15:573-591.
Timm, BC, and K McGarigal. 2014. Fowler’s Toad (Anaxyrus fowleri) activity patterns on a roadway at Cape Cod National Seashore, USA. J. of Herpetology 48:111-116.
Timm, BC, K McGarigal, and RP Cook. 2014. Upland movement patterns and habitat selection of adult eastern spadefoots (Scaphiopus holbrookii) at Cape Cod National Seashore. J. of Herpetology 48:84-97.
Timm, BC, and K McGarigal. (Accepted). Scaphiopus holbrooki (eastern spadefoot). Possible transmitter expulsion. Herpetological Review.
Zeller, KA, K McGarigal, P Beier, SA Cushman, TW Vickers, and WM Boyce. 2014. Sensitivity of landscape resistance estimates based on point selection functions to scale and behavioral state: pumas as a case study. Landscape Ecology 29:541-557.
Elizabeth Homa, Casey Brown, Kevin McGarigal, Brad Compton, and Scott Jackson. 2013. Estimating hydrologic alteration from basin characteristics in Massachusetts. Journal of Hydrology 503:196-208.
Shirley, SM, Z Yang, RA Hutchinson, JDAlexander, K McGarigal, and MG Betts. 2013. Species distribution modeling for the people: Unclassified landsat TM predicts bird occurrence at fine resolutions. Diversity and Distributions 1-12.
Haire, SL, K McGarigal, and C Miller. 2013. Wilderness shapes contemporary fire size distributions across landscapes of the western United States. Ecosphere 4:art15. http://dx.doi.org/10.1890/ES12-00257.1
Timm, BC, and K McGarigal. 2013. A preliminary assessment of the ground-dwelling arthropod community composition in six common dune cover types at Cape Cod National Seashore. Northeastern Naturalist 20:529-539.
Publications–Book Chapters (2001 to present)
Cushman SA, BH McRae, and K McGarigal. 2016. Basics of landscape ecology: an introduction to landscapes and population processes for landscape geneticists. Pages 9-34 in N Balkenhol, SA Cushman, AT Storfer, and LP Waits (eds.), Landscape Genetics: Concepts, Methods, Applications. John Wiley & Sons Ltd., Chichester, UK. (DOI: 10.1002/9781118525258. Published online 9/18/2015).
Haire SL, C Miller, and K McGarigal. 2015. Influence of Landscape Gradients in Wilderness Management and Spatial Climate on Fire Severity in the Northern Rockies USA, 1984-2010. Pages 104-110 in RE Keane, M Jolly, R Parsons, and K Riley, eds. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 345 pp.
McGarigal K. 2013. Landscape pattern metrics. Pages 1441-1451 in AH El-Shaarawi and W Piegorsch (eds.), Encyclopedia of Environmetrics, Second Edition. John Wiley & Sons Ltd., Chichester, England.
Cushman SA, K McGarigal, K McKelvey, C Reagan, T Demeo, and C Vojta. 2013. Landscape analysis of wildlife habitat. Chapter 6 in MM Rowland and CD Vojta (tech. eds.), A technical guide for monitoring wildlife habitat. Gen. Tech. Rep. WO-89. Washington, DC: U.S. Department of Agriculture, Forest Service: 400 p.
Wiens JA, H Safford, K McGarigal, WH Romme, and M Manning. 2012. What is the scope of “history” in historical ecology? Issues of scale in management and conservation. Chapter 6 in J Wiens, C Regan, G Hayward, and H Safford (eds), Historical Environmental Variation in Conservation and Natural Resource Management. Wiley.
McGarigal K, and WH Romme. 2012. Modeling historical range of variation at a range of scales: example application. Chapter 9 in J Wiens, C Regan, G Hayward, and H Safford (eds), Historical Environmental Variation in Conservation and Natural Resource Management. Wiley.
Zuckerberg B, and K McGarigal. 2012. Widening the circle of investigation: The interface between citizen science and landscape ecology. Chapter 7 in JL Dickinson and R Bonney (eds.), Citizen Science: Public Collaboration in Environmental Research. Cornell University Press.
Cushman SA, J Littell, and K McGarigal. 2010. The problem of ecological scaling in spatially complex, nonequilibrium ecological systems. Chapter 3 in SA Cushman and F Huettmann (eds), Spatial Complexity, Informatics, and Wildlife Conservation. Springer.
Cushman SA, TN Wasserman, and K McGarigal. 2011. Landscape fire and wildlife habitat. Chapter 5 in D McKenzie and LK Kellog (eds.), The Landscape Ecology of Fire. Springer.
Cushman SA, J Evans, and K McGarigal. 2010. Landscape ecology: past, present and future. Chapter 4 in SA Cushman and F Huettmann (eds), Spatial Complexity, Informatics, and Wildlife Conservation. Springer.
Cushman SA, K McGarigal, K Gutzweiler, and JS Evans. 2010. The gradient paradigm: a conceptual and analytical framework for landscape ecology. Chapter 5 in SA Cushman and F Huettmann (eds), Spatial Complexity, Informatics, and Wildlife Conservation.
Cushman SA, BW Compton, and K McGarigal. 2010. Habitat fragmentation effects depend on complex interactions between population size and dispersal ability: modeling influences of roads, agriculture and residential development across a range of life-history characteristics. Chapter 20 in SA Cushman and F Huettmann (eds), Spatial Complexity, Informatics, and Wildlife Conservation. Springer. 18 pgs.
Cushman SA and K McGarigal. 2008. Landscape metrics and scales of resolution. Pages 31-50 in KV Gadow (ed.), Adaptive Design of Forested Landscapes: The Multiple Path Principle. Springer, New York. 286 pp.
Cushman SA and K McGarigal. 2006. Multivariate landscape trajectory analysis: An example using simulation modeling of American marten habitat change under four timber harvest scenarios. Pages 119-140 in JA Bissonnette and I Storch (eds.), Temporal Dimensions of Landscape Ecology: Wildlife Responses to Variable Resources. Springer, New York.
McGarigal K, and SA Cushman. 2005. The gradient concept of landscape structure. Pages 112-119 in J Wiens and M Moss (eds.), Issues and Perspectives in Landscape Ecology. Cambridge University Press, Cambridge.
McGarigal K. 2002. Landscape pattern metrics. Volume 2, pp 1135-1142 in AH El-Shaarawi and WW Piegorsch (eds.), Encyclopedia of Environmetrics. John Wiley & Sons, Chichester, England.
Page updated: March 2, 2017