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Home range

October 21, 2023

A home range is the area in which an animal lives and moves on a periodic basis. It is related to the concept of an animal's territory which is the area that is actively defended. The concept of a home range was introduced by W. H. Burt in 1943. He drew maps showing where the animal had been observed at different times. An associated concept is the utilization distribution which examines where the animal is likely to be at any given time. Data for mapping a home range used to be gathered by careful observation, but nowadays, the animal is fitted with a transmission collar or similar GPS device.

The simplest way of measuring the home range is to construct the smallest possible convex polygon around the data but this tends to overestimate the range. The best known methods for constructing utilization distributions are the so-called bivariate Gaussian or normal distribution kernel density methods. More recently, nonparametric methods such as the Burgman and Fox's alpha-hull and Getz and Wilmers local convex hull have been used. Software is available for using both parametric and nonparametric kernel methods.

History Edit

The concept of the home range can be traced back to a publication in 1943 by W. H. Burt, who constructed maps delineating the spatial extent or outside boundary of an animal's movement during the course of its everyday activities.[1] Associated with the concept of a home range is the concept of a utilization distribution, which takes the form of a two dimensional probability density function that represents the probability of finding an animal in a defined area within its home range.[2][3] The home range of an individual animal is typically constructed from a set of location points that have been collected over a period of time, identifying the position in space of an individual at many points in time. Such data are now collected automatically using collars placed on individuals that transmit through satellites or using mobile cellphone technology and global positioning systems (GPS) technology, at regular intervals.

Methods of calculation Edit

The simplest way to draw the boundaries of a home range from a set of location data is to construct the smallest possible convex polygon around the data. This approach is referred to as the minimum convex polygon (MCP) method which is still widely employed,[4][5][6][7] but has many drawbacks including often overestimating the size of home ranges.[8]

The best known methods for constructing utilization distributions are the so-called bivariate Gaussian or normal distribution kernel density methods.[9][10][11] This group of methods is part of a more general group of parametric kernel methods that employ distributions other than the normal distribution as the kernel elements associated with each point in the set of location data.

Recently, the kernel approach to constructing utilization distributions was extended to include a number of nonparametric methods such as the Burgman and Fox's alpha-hull method [12] and Getz and Wilmers local convex hull (LoCoH) method.[13] This latter method has now been extended from a purely fixed-point LoCoH method to fixed radius and adaptive point/radius LoCoH methods.[14]

Although, currently, more software is available to implement parametric than nonparametric methods (because the latter approach is newer), the cited papers by Getz et al. demonstrate that LoCoH methods generally provide more accurate estimates of home range sizes and have better convergence properties as sample size increases than parametric kernel methods.

Home range estimation methods that have been developed since 2005 include:

Computer packages for using parametric and nonparametric kernel methods are available online.[21][22][23][24] In the appendix of a 2017 JMIR article, the home ranges for over 150 different bird species in Manitoba are reported.[25]

See also Edit

References Edit

  1. ^ Burt, W. H. (1943). "Territoriality and home range concepts as applied to mammals". Journal of Mammalogy. 24 (3): 346–352. doi:10.2307/1374834. JSTOR 1374834.
  2. ^ Jennrich, R. I.; Turner, F. B. (1969). "Measurement of non-circular home range". Journal of Theoretical Biology. 22 (2): 227–237. Bibcode:1969JThBi..22..227J. doi:10.1016/0022-5193(69)90002-2. PMID 5783911.
  3. ^ Ford, R. G.; Krumme, D. W. (1979). "The analysis of space use patterns". Journal of Theoretical Biology. 76 (2): 125–157. Bibcode:1979JThBi..76..125F. doi:10.1016/0022-5193(79)90366-7. PMID 431092.
  4. ^ Baker, J. (2001). "Population density and home range estimates for the Eastern Bristlebird at Jervis Bay, south-eastern Australia". Corella. 25: 62–67.
  5. ^ Creel, S.; Creel, N. M. (2002). The African Wild Dog: Behavior, Ecology, and Conservation. Princeton, New Jersey: Princeton University Press. ISBN 978-0691016559.
  6. ^ Meulman, E. P.; Klomp, N. I. (1999). "Is the home range of the heath mouse Pseudomys shortridgei an anomaly in the Pseudomys genus?". Victorian Naturalist. 116: 196–201.
  7. ^ Rurik, L.; Macdonald, D. W. (2003). "Home range and habitat use of the kit fox (Vulpes macrotis) in a prairie dog (Cynomys ludovicianus) complex". Journal of Zoology. 259 (1): 1–5. doi:10.1017/S0952836902002959.
  8. ^ Burgman, M. A.; Fox, J. C. (2003). "Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning" (PDF). Animal Conservation. 6 (1): 19–28. doi:10.1017/S1367943003003044. S2CID 85736835.
  9. ^ Silverman, B. W. (1986). Density estimation for statistics and data analysis. London: Chapman and Hall. ISBN 978-0412246203.
  10. ^ Worton, B. J. (1989). "Kernel methods for estimating the utilization distribution in home-range studies". Ecology. 70 (1): 164–168. doi:10.2307/1938423. JSTOR 1938423.
  11. ^ Seaman, D. E.; Powell, R. A. (1996). "An evaluation of the accuracy of kernel density estimators for home range analysis". Ecology. 77 (7): 2075–2085. doi:10.2307/2265701. JSTOR 2265701.
  12. ^ Burgman, M. A.; Fox, J. C. (2003). "Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning" (PDF). Animal Conservation. 6 (1): 19–28. doi:10.1017/S1367943003003044. S2CID 85736835.
  13. ^ Getz, W. M.; Wilmers, C. C. (2004). "A local nearest-neighbor convex-hull construction of home ranges and utilization distributions" (PDF). Ecography. 27 (4): 489–505. doi:10.1111/j.0906-7590.2004.03835.x. S2CID 14592779.
  14. ^ Getz, W. M; Fortmann-Roe, S.; Cross, P. C.; Lyonsa, A. J.; Ryan, S. J.; Wilmers, C. C. (2007). "LoCoH: nonparametric kernel methods for constructing home ranges and utilization distributions" (PDF). PLoS ONE. 2 (2): e207. Bibcode:2007PLoSO...2..207G. doi:10.1371/journal.pone.0000207. PMC 1797616. PMID 17299587.
  15. ^ Getz, W. M.; Wilmers, C. C. (2004). "A local nearest-neighbor convex-hull construction of home ranges and utilization distributions" (PDF). Ecography. 27 (4): 489–505. doi:10.1111/j.0906-7590.2004.03835.x. S2CID 14592779.
  16. ^ Horne, J. S.; Garton, E. O.; Krone, S. M.; Lewis, J. S. (2007). "Analyzing animal movements using Brownian Bridges". Ecology. 88 (9): 2354–2363. doi:10.1890/06-0957.1. PMID 17918412. S2CID 15044567.
  17. ^ Steiniger, S.; Hunter, A. J. S. (2012). "A scaled line-based kernel density estimator for the retrieval of utilization distributions and home ranges from GPS movement tracks". Ecological Informatics. 13: 1–8. doi:10.1016/j.ecoinf.2012.10.002.
  18. ^ Downs, J. A.; Horner, M. W.; Tucker, A. D. (2011). "Time-geographic density estimation for home range analysis". Annals of GIS. 17 (3): 163–171. doi:10.1080/19475683.2011.602023. S2CID 7891668.
  19. ^ Long, J. A.; Nelson, T. A. (2012). "Time geography and wildlife home range delineation". Journal of Wildlife Management. 76 (2): 407–413. doi:10.1002/jwmg.259. hdl:10023/5424.
  20. ^ Steiniger, S.; Hunter, A. J. S. (2012). "OpenJUMP HoRAE – A free GIS and Toolbox for Home-Range Analysis". Wildlife Society Bulletin. 36 (3): 600–608. doi:10.1002/wsb.168. (See also: OpenJUMP HoRAE - Home Range Analysis and Estimation Toolbox)
  21. ^ LoCoH: Powerful algorithms for finding home ranges 2006-09-12 at the Wayback Machine
  22. ^ AniMove – Animal movement methods
  23. ^ OpenJUMP HoRAE - Home Range Analysis and Estimation Toolbox (open source; methods: Point-Kernel, Line-Kernel, Brownian-Bridge, LoCoH, MCP, Line-Buffer)
  24. ^ adehabitat for R (open source; methods: Point-Kernel, Line-Kernel, Brownian-Bridge, LoCoH, MCP, GeoEllipse)
  25. ^ Nasrinpour, Hamid Reza; Reimer, Alex A.; Friesen, Marcia R.; McLeod, Robert D. (July 2017). "Data preparation for West Nile Virus agent-based modelling: protocol for processing bird population estimates and incorporating ArcMap in AnyLogic". JMIR Research Protocols. 6 (7): e138. doi:10.2196/resprot.6213. PMC 5537560. PMID 28716770.

October 21, 2023
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A home range is the area in which an animal lives and moves on a periodic basis It is related to the concept of an animal s territory which is the area that is actively defended The concept of a home range was introduced by W H Burt in 1943 He drew maps showing where the animal had been observed at different times An associated concept is the utilization distribution which examines where the animal is likely to be at any given time Data for mapping a home range used to be gathered by careful observation but nowadays the animal is fitted with a transmission collar or similar GPS device The simplest way of measuring the home range is to construct the smallest possible convex polygon around the data but this tends to overestimate the range The best known methods for constructing utilization distributions are the so called bivariate Gaussian or normal distribution kernel density methods More recently nonparametric methods such as the Burgman and Fox s alpha hull and Getz and Wilmers local convex hull have been used Software is available for using both parametric and nonparametric kernel methods Contents 1 History 2 Methods of calculation 3 See also 4 ReferencesHistory EditThe concept of the home range can be traced back to a publication in 1943 by W H Burt who constructed maps delineating the spatial extent or outside boundary of an animal s movement during the course of its everyday activities 1 Associated with the concept of a home range is the concept of a utilization distribution which takes the form of a two dimensional probability density function that represents the probability of finding an animal in a defined area within its home range 2 3 The home range of an individual animal is typically constructed from a set of location points that have been collected over a period of time identifying the position in space of an individual at many points in time Such data are now collected automatically using collars placed on individuals that transmit through satellites or using mobile cellphone technology and global positioning systems GPS technology at regular intervals Methods of calculation EditThe simplest way to draw the boundaries of a home range from a set of location data is to construct the smallest possible convex polygon around the data This approach is referred to as the minimum convex polygon MCP method which is still widely employed 4 5 6 7 but has many drawbacks including often overestimating the size of home ranges 8 The best known methods for constructing utilization distributions are the so called bivariate Gaussian or normal distribution kernel density methods 9 10 11 This group of methods is part of a more general group of parametric kernel methods that employ distributions other than the normal distribution as the kernel elements associated with each point in the set of location data Recently the kernel approach to constructing utilization distributions was extended to include a number of nonparametric methods such as the Burgman and Fox s alpha hull method 12 and Getz and Wilmers local convex hull LoCoH method 13 This latter method has now been extended from a purely fixed point LoCoH method to fixed radius and adaptive point radius LoCoH methods 14 Although currently more software is available to implement parametric than nonparametric methods because the latter approach is newer the cited papers by Getz et al demonstrate that LoCoH methods generally provide more accurate estimates of home range sizes and have better convergence properties as sample size increases than parametric kernel methods Home range estimation methods that have been developed since 2005 include LoCoH 15 Brownian Bridge 16 Line based Kernel 17 GeoEllipse 18 19 Line Buffer 20 Computer packages for using parametric and nonparametric kernel methods are available online 21 22 23 24 In the appendix of a 2017 JMIR article the home ranges for over 150 different bird species in Manitoba are reported 25 See also EditTerritoriality Dear enemy recognitionReferences Edit Burt W H 1943 Territoriality and home range concepts as applied to mammals Journal of Mammalogy 24 3 346 352 doi 10 2307 1374834 JSTOR 1374834 Jennrich R I Turner F B 1969 Measurement of non circular home range Journal of Theoretical Biology 22 2 227 237 Bibcode 1969JThBi 22 227J doi 10 1016 0022 5193 69 90002 2 PMID 5783911 Ford R G Krumme D W 1979 The analysis of space use patterns Journal of Theoretical Biology 76 2 125 157 Bibcode 1979JThBi 76 125F doi 10 1016 0022 5193 79 90366 7 PMID 431092 Baker J 2001 Population density and home range estimates for the Eastern Bristlebird at Jervis Bay south eastern Australia Corella 25 62 67 Creel S Creel N M 2002 The African Wild Dog Behavior Ecology and Conservation Princeton New Jersey Princeton University Press ISBN 978 0691016559 Meulman E P Klomp N I 1999 Is the home range of the heath mouse Pseudomys shortridgei an anomaly in the Pseudomys genus Victorian Naturalist 116 196 201 Rurik L Macdonald D W 2003 Home range and habitat use of the kit fox Vulpes macrotis in a prairie dog Cynomys ludovicianus complex Journal of Zoology 259 1 1 5 doi 10 1017 S0952836902002959 Burgman M A Fox J C 2003 Bias in species range estimates from minimum convex polygons implications for conservation and options for improved planning PDF Animal Conservation 6 1 19 28 doi 10 1017 S1367943003003044 S2CID 85736835 Silverman B W 1986 Density estimation for statistics and data analysis London Chapman and Hall ISBN 978 0412246203 Worton B J 1989 Kernel methods for estimating the utilization distribution in home range studies Ecology 70 1 164 168 doi 10 2307 1938423 JSTOR 1938423 Seaman D E Powell R A 1996 An evaluation of the accuracy of kernel density estimators for home range analysis Ecology 77 7 2075 2085 doi 10 2307 2265701 JSTOR 2265701 Burgman M A Fox J C 2003 Bias in species range estimates from minimum convex polygons implications for conservation and options for improved planning PDF Animal Conservation 6 1 19 28 doi 10 1017 S1367943003003044 S2CID 85736835 Getz W M Wilmers C C 2004 A local nearest neighbor convex hull construction of home ranges and utilization distributions PDF Ecography 27 4 489 505 doi 10 1111 j 0906 7590 2004 03835 x S2CID 14592779 Getz W M Fortmann Roe S Cross P C Lyonsa A J Ryan S J Wilmers C C 2007 LoCoH nonparametric kernel methods for constructing home ranges and utilization distributions PDF PLoS ONE 2 2 e207 Bibcode 2007PLoSO 2 207G doi 10 1371 journal pone 0000207 PMC 1797616 PMID 17299587 Getz W M Wilmers C C 2004 A local nearest neighbor convex hull construction of home ranges and utilization distributions PDF Ecography 27 4 489 505 doi 10 1111 j 0906 7590 2004 03835 x S2CID 14592779 Horne J S Garton E O Krone S M Lewis J S 2007 Analyzing animal movements using Brownian Bridges Ecology 88 9 2354 2363 doi 10 1890 06 0957 1 PMID 17918412 S2CID 15044567 Steiniger S Hunter A J S 2012 A scaled line based kernel density estimator for the retrieval of utilization distributions and home ranges from GPS movement tracks Ecological Informatics 13 1 8 doi 10 1016 j ecoinf 2012 10 002 Downs J A Horner M W Tucker A D 2011 Time geographic density estimation for home range analysis Annals of GIS 17 3 163 171 doi 10 1080 19475683 2011 602023 S2CID 7891668 Long J A Nelson T A 2012 Time geography and wildlife home range delineation Journal of Wildlife Management 76 2 407 413 doi 10 1002 jwmg 259 hdl 10023 5424 Steiniger S Hunter A J S 2012 OpenJUMP HoRAE A free GIS and Toolbox for Home Range Analysis Wildlife Society Bulletin 36 3 600 608 doi 10 1002 wsb 168 See also OpenJUMP HoRAE Home Range Analysis and Estimation Toolbox LoCoH Powerful algorithms for finding home ranges Archived 2006 09 12 at the Wayback Machine AniMove Animal movement methods OpenJUMP HoRAE Home Range Analysis and Estimation Toolbox open source methods Point Kernel Line Kernel Brownian Bridge LoCoH MCP Line Buffer adehabitat for R open source methods Point Kernel Line Kernel Brownian Bridge LoCoH MCP GeoEllipse Nasrinpour Hamid Reza Reimer Alex A Friesen Marcia R McLeod Robert D July 2017 Data preparation for West Nile Virus agent based modelling protocol for processing bird population estimates and incorporating ArcMap in AnyLogic JMIR Research Protocols 6 7 e138 doi 10 2196 resprot 6213 PMC 5537560 PMID 28716770 Retrieved from https en wikipedia org w index php title Home range amp oldid 1172993984, wikipedia, wiki, book, books, library,

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