Use of an adaptive kernel home-range estimator in a GIS environment to calculate habitat use

B. J. Kernohan; J. J. Millspaugh; J. A. Jenks; D. E. Naugle

doi:10.1006/jema.1998.0198

Use of an adaptive kernel home-range estimator in a GIS environment to calculate habitat use

B. J. Kernohan, J. J. Millspaugh, J. A. Jenks, D. E. Naugle

W. A. Franke College of Forestry and Conservation

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

Habitat use analyses have traditionally relied on telemetry relocation points as the primary source of data. Home-range estimations have generally been disregarded as a means of quantifying habitat use and availability. Seasonal habitat use of white-tailed deer (Odocoileus virginianus) calculated from a home-range estimator using an adaptive kernel method was compared with relocation point data from Sand Lake National Wildlife Refuge, South Dakota from 1 January 1993 to 27 June 1994, to determine if an adaptive kernel home-range estimator approximates traditional methods of quantifying habitat use. No differences between proportional area of seasonal home-ranges and point data were detected (P > 0.05), indicating that habitat use calculated from an adaptive kernel home-range estimate was similar to habitat use calculated from relocation points. Potential benefits of home-range estimations include consideration of radio-telemetry error, biological independence of observations, and complete utilisation distributions. Given the success of home-range estimators at quantifying habitat use, a new alternative to habitat use analysis is offered. In situations where inherent telemetry error is unavoidable, using proportional area of home-range contours to define habitat use avoids the pitfalls associated with telemetry relocation point data.

Original language	English
Pages (from-to)	83-89
Number of pages	7
Journal	Journal of Environmental Management
Volume	53
Issue number	1
DOIs	https://doi.org/10.1006/jema.1998.0198
State	Published - May 1998

Keywords

Adaptive kernel
GIS
Habitat use
Home-range
Odocoileus virginianus
Radio telemetry
South Dakota
White-tailed deer

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10.1006/jema.1998.0198

Cite this

@article{df265ccd8d4e4c179dccaa6b55af221c,

title = "Use of an adaptive kernel home-range estimator in a GIS environment to calculate habitat use",

abstract = "Habitat use analyses have traditionally relied on telemetry relocation points as the primary source of data. Home-range estimations have generally been disregarded as a means of quantifying habitat use and availability. Seasonal habitat use of white-tailed deer (Odocoileus virginianus) calculated from a home-range estimator using an adaptive kernel method was compared with relocation point data from Sand Lake National Wildlife Refuge, South Dakota from 1 January 1993 to 27 June 1994, to determine if an adaptive kernel home-range estimator approximates traditional methods of quantifying habitat use. No differences between proportional area of seasonal home-ranges and point data were detected (P > 0.05), indicating that habitat use calculated from an adaptive kernel home-range estimate was similar to habitat use calculated from relocation points. Potential benefits of home-range estimations include consideration of radio-telemetry error, biological independence of observations, and complete utilisation distributions. Given the success of home-range estimators at quantifying habitat use, a new alternative to habitat use analysis is offered. In situations where inherent telemetry error is unavoidable, using proportional area of home-range contours to define habitat use avoids the pitfalls associated with telemetry relocation point data.",

keywords = "Adaptive kernel, GIS, Habitat use, Home-range, Odocoileus virginianus, Radio telemetry, South Dakota, White-tailed deer",

author = "Kernohan, {B. J.} and Millspaugh, {J. J.} and Jenks, {J. A.} and Naugle, {D. E.}",

note = "Funding Information: The authors thank L. C. Bender, L. D. Flake, K. F. Higgins and G. J. Roloff for their review of this manuscript. J. J. Kelly, K. M. Petterson and J. J. Sahli assisted with data collection. This study (No. 7560) was funded by Federal Aid to Wildlife Restoration Fund, Project W-75-R through South Dakota Department of Game, Fish and Parks, the South Dakota Agricultural Experiment Station, and the National Rifle Association. Support was provided by South Dakota Co-operative Fish and Wildlife Research Unit, South Dakota State University, and Sand Lake National Wildlife Refuge (US Fish and Wildlife Service). This is South Dakota Agricultural Experiment Station Publication 3062.",

year = "1998",

month = may,

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AU - Jenks, J. A.

AU - Naugle, D. E.

N1 - Funding Information: The authors thank L. C. Bender, L. D. Flake, K. F. Higgins and G. J. Roloff for their review of this manuscript. J. J. Kelly, K. M. Petterson and J. J. Sahli assisted with data collection. This study (No. 7560) was funded by Federal Aid to Wildlife Restoration Fund, Project W-75-R through South Dakota Department of Game, Fish and Parks, the South Dakota Agricultural Experiment Station, and the National Rifle Association. Support was provided by South Dakota Co-operative Fish and Wildlife Research Unit, South Dakota State University, and Sand Lake National Wildlife Refuge (US Fish and Wildlife Service). This is South Dakota Agricultural Experiment Station Publication 3062.

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N2 - Habitat use analyses have traditionally relied on telemetry relocation points as the primary source of data. Home-range estimations have generally been disregarded as a means of quantifying habitat use and availability. Seasonal habitat use of white-tailed deer (Odocoileus virginianus) calculated from a home-range estimator using an adaptive kernel method was compared with relocation point data from Sand Lake National Wildlife Refuge, South Dakota from 1 January 1993 to 27 June 1994, to determine if an adaptive kernel home-range estimator approximates traditional methods of quantifying habitat use. No differences between proportional area of seasonal home-ranges and point data were detected (P > 0.05), indicating that habitat use calculated from an adaptive kernel home-range estimate was similar to habitat use calculated from relocation points. Potential benefits of home-range estimations include consideration of radio-telemetry error, biological independence of observations, and complete utilisation distributions. Given the success of home-range estimators at quantifying habitat use, a new alternative to habitat use analysis is offered. In situations where inherent telemetry error is unavoidable, using proportional area of home-range contours to define habitat use avoids the pitfalls associated with telemetry relocation point data.

AB - Habitat use analyses have traditionally relied on telemetry relocation points as the primary source of data. Home-range estimations have generally been disregarded as a means of quantifying habitat use and availability. Seasonal habitat use of white-tailed deer (Odocoileus virginianus) calculated from a home-range estimator using an adaptive kernel method was compared with relocation point data from Sand Lake National Wildlife Refuge, South Dakota from 1 January 1993 to 27 June 1994, to determine if an adaptive kernel home-range estimator approximates traditional methods of quantifying habitat use. No differences between proportional area of seasonal home-ranges and point data were detected (P > 0.05), indicating that habitat use calculated from an adaptive kernel home-range estimate was similar to habitat use calculated from relocation points. Potential benefits of home-range estimations include consideration of radio-telemetry error, biological independence of observations, and complete utilisation distributions. Given the success of home-range estimators at quantifying habitat use, a new alternative to habitat use analysis is offered. In situations where inherent telemetry error is unavoidable, using proportional area of home-range contours to define habitat use avoids the pitfalls associated with telemetry relocation point data.

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Use of an adaptive kernel home-range estimator in a GIS environment to calculate habitat use

Abstract

Keywords

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