한국환경생태학회지 (Korean Journal of Environment and Ecology)

  • 제36권2호
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  • Pages.202-216
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  • 2022
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  • 1229-3857(pISSN)
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  • 2288-131X(eISSN)
한국환경생태학회 (Korean Society of Environment and Ecology)
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동물 행동권 분석 방법론 고찰 - 괭이갈매기 사례 분석과 시사점 -

Animal Home Range Estimators - A Review and a Case Study -

  • 이성주 (한국환경연구원 환경평가본부 국토정책평가실) ;
  • 이후승 (한국환경연구원 환경평가본부 국토정책평가실)
  • Lee, Sung-Joo (Environmental Assessment Group, Korea Environment Institute) ;
  • Lee, Who-Seung (Environmental Assessment Group, Korea Environment Institute)
  • 투고 : 2022.01.21
  • 심사 : 2022.03.07
  • 발행 : 2022.04.30
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초록

동물은 그들의 필요와 외부 자극, 그리고 주변 환경에 반응하면서 특정한 행동과 이동 패턴을 보이며, 생활하면서 대부분의 시간을 보내는 일정한 영역인 행동권(home range)을 가진다. 행동권은 종의 존속과 보전에 매우 중요한 영역이라는 점에 기반하여 해외에서는 행동권 추정 방법론 개발 및 정책 반영이 활발하게 이루어지고 있다. 원격 추적 기술의 발전으로 인해 좌표간 시간 간격이 줄어들며 정밀해진 동물 추적 데이터는 기존 행동권 방법론에 한계점을 드러냈으며, 이를 보완하기 위하여 다양한 새로운 방법론이 개발되었다. 하지만, 국내 행동권 연구는 아직 더딘 편이며 새로이 개발된 방법론 도입도 전혀 이루어지지 않고 있는 상태이다. 본 연구는 동물 행동권의 더욱 정확한 추정을 목적으로 꾸준하게 개발되어 온 해외의 방법론들을 정리 및 소개하여 국내 도입을 촉진하는 것을 목적으로 한다. 먼저 크게 기하학적 그리고 통계적 추정 방법론으로 나눈 후 좌표들이 독립일 때와 자기상관성이 존재할 때의 경우로 나누어 총 7가지의 행동권 추정 방법론을 비교 및 고찰하였다. 실제 전남 신안군 불무기도에 번식하는 괭이갈매기(Larus Crassirostris)의 6월 한 달간 GPS 위치 추적 정보를 사용해 본 연구에서 소개한 방법론을 적용하여 행동권을 도출하였다. 행동권 결과를 비교분석 함으로써 각 방법론의 특징 및 한계점을 논의하였으며, 향후 동물 행동권을 분석하고자 하는 연구자가 본인이 가지고 있는 데이터 특성과 분석 목적에 알맞는 방법론을 선택할 수 있도록 행동권 분석 방법론 선택 의사결정 가이드라인을 제시하였다.

Animals exhibit certain behaviors and movement patterns as they react to their internal needs, external stimuli, and surrounding environments. They have a bounded range in which they mostly spend their time, and it is referred to as a home range. Based on the fact that the home range is a critical area for the survival and preservation of species, there has been a growing body of research on developing more precise home range estimation methods to use the estimated ranges as a ground for establishing an effective conservation policy since the early 1940s. Recent rapid advancements in telemetry technology that resulted in the presence of autocorrelation between locations with short time intervals revealed the limitations of the existing estimators. Many novel estimators have been developed to compensate for it by incorporating autocorrelation in calculating home ranges. However, studies on the animal home range are still in their early stage in Korea, and newly developed methodologies have not yet been adopted. Therefore, this study aims to introduce the foreign home range estimation methods and foster domestic research activities on home ranges. Firstly, we compared and contemplated seven estimators by categorizing them into geometrical and statistical methodologies and then divided them into estimators that assume independent observations and those that consider autocorrelation in each category. After that, the home ranges of black-tailed gulls (Larus crassirostris) were calculated using GPS tracking data for the month of June and derived home range estimators by applying the methodology introduced in this study. We analyzed and compared the results to discuss the strengths and weaknesses of each method. Lastly, we proposed a guideline that can help researchers choose an appropriate estimator for home range calculation based on the animal location data characteristics and analysis purpose.

키워드

과제정보

본 논문은 한국환경연구원 연구과제(2021-072)와 국립생태원 연구과제(NIE-D-2021-83) "해상풍력 공간이용 분석을 통한 연구 로드맵 수립 및 DB구축 위탁연구사업" 지원으로 수행되었습니다.

참고문헌

  1. Blondel, D.V., J. Pino and S.M. Phelps(2009) Space use and social structure of long-tailed singing mice (Scotinomys xerampelinus). Journal of Mammalogy 90(3): 715-723. https://doi.org/10.1644/08-MAMM-A-009R2.1
  2. Borger, L., B.D. Dalziel and J.M. Fryxell(2008) Are there general mechanisms of animal home range behaviour? A review and prospects for future research. Ecology Letters 11(6): 637-650. https://doi.org/10.1111/j.1461-0248.2008.01182.x
  3. Bullard, F.(1999) Estimating the home range of an animal: A Brownian bridge approach. Master's thesis, Johns Hopkins University.
  4. Burt, W.H.(1943) Territoriality and home range concepts as applied to mammals. Journal of Mammalogy 24(3): 346-352. https://doi.org/10.2307/1374834
  5. Calabrese, J.M., C.H. Fleming and E. Gurarie(2016) ctmm: An R package for analyzing animal relocation data as a continuous- time stochastic process. Methods in Ecology and Evolution 7(9): 1124-1132. https://doi.org/10.1111/2041-210X.12559
  6. Calenge, C.(2006) The package adehabitat for the R software: Tool for the analysis of space and habitat use by animals. Ecological Modelling 197: 1035. https://doi.org/10.1016/j.ecolmodel.2006.03.017
  7. Calhoun, J.B. and J.U. Casby(1958) Calculation of home range and density of small mammals (No. 592). US Government Printing Office.
  8. Castano, M.I., C.D. Cadena and J.E. Avendano(2019) Home-range size of an Andean bird: Assessing the role of physical condition. Biotropica 51(4): 591-599. https://doi.org/10.1111/btp.12673
  9. Crane, M., I. Silva, B.M. Marshall and C.T. Strine(2021) Lots of movement, little progress: A review of reptile home range literature. PeerJ 9: e11742. https://doi.org/10.7717/peerj.11742
  10. Dougherty, E.R., C.J. Carlson, J.K. Blackburn and W.M. Getz(2017) A cross-validation-based approach for delimiting reliable home range estimates. Movement Ecology 5(1): 1-12. https://doi.org/10.1186/s40462-016-0093-6
  11. Downs, J.A.(2008) Network analysis of animal space-use patterns. Ph.D. dissertation, The Florida State University.
  12. Dussault, C., R. Courtois, J.P. Ouellet and I. Girard(2005) Space use of moose in relation to food availability. Canadian Journal of Zoology 83(11): 1431-1437. https://doi.org/10.1139/z05-140
  13. Epanechnikov, V.A.(1969) Non-parametric estimation of a multivariate probability density. Theory of Probability and Its Applications 14(1): 153-158. https://doi.org/10.1137/1114019
  14. Fischer, J.W., W.D. Walter and M.L. Avery(2013) Brownian Bridge Movement Models to Characterize Birds' Home Ranges: Modelos de Movimiento de Puente Browniano Para Caracterizar el Rango de Hogar de las Aves. The Condor 115(2): 298-305. https://doi.org/10.1525/cond.2013.110168
  15. Fleming, C.H., M.J. Noonan, E.P. Medici and J.M. Calabrese(2019) Overcoming the challenge of small effective sample sizes in home-range estimation. Methods in Ecology and Evolution 10(10): 1679-1689. https://doi.org/10.1111/2041-210X.13270
  16. Fleming, C.H., W.F. Fagan, T. Mueller, K.A. Olson, P. Leimgruber and J.M. Calabrese(2015) Rigorous home range estimation with movement data: A new autocorrelated kernel density estimator. Ecology 96(5): 1182-1188. https://doi.org/10.1890/14-2010.1
  17. Franzreb, K.E.(2006) Implications of home-range estimation in the management of red-cockaded woodpeckers in South Carolina. Forest Ecology and Management 228(1-3): 274-284. https://doi.org/10.1016/j.foreco.2006.03.007
  18. Getz, W.M. and C.C. Wilmers(2004) A local nearest-neighbor convex-hull construction of home ranges and utilization distributions. Ecography 27(4): 489-505. https://doi.org/10.1111/j.0906-7590.2004.03835.x
  19. Getz, W.M., S. Fortmann-Roe, P.C. Cross, A.J. Lyons, S.J. Ryan and C.C. Wilmers(2007) LoCoH: Nonparameteric kernel methods for constructing home ranges and utilization distributions. PloS One 2(2): e207. https://doi.org/10.1371/journal.pone.0000207
  20. Gurarie, E., R.D. Andrews and K.L. Laidre(2009) A novel method for identifying behavioural changes in animal movement data. Ecology Letters 12(5): 395-408. https://doi.org/10.1111/j.1461-0248.2009.01293.x
  21. Hansteen, T.L., H.P. Andreassen and R.A. Ims(1997) Effects of spatiotemporal scale on autocorrelation and home range estimators. The Journal of Wildlife Management 61(2): 280-290. https://doi.org/10.2307/3802583
  22. Hemson, G., P. Johnson, A. South, R. Kenward, R. Ripley and D. MACDONALD(2005) Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home-range analyses with least-squares cross-validation. Journal of Animal Ecology 74(3): 455-463. https://doi.org/10.1111/j.1365-2656.2005.00944.x
  23. Holt, C.A., R.J. Fuller and P.M. Dolman(2010) Experimental evidence that deer browsing reduces habitat suitability for breeding Common Nightingales Luscinia megarhynchos. Ibis 152(2): 335-346. https://doi.org/10.1111/j.1474-919X.2010.01012.x
  24. Hong, M.J., M. Kim, H. Lee and S.M. Cho(2019) First report of annual habitat ranges in Black-tailed Gulls (Larus crassirostris) breeding on Dokdo Island. Ocean and Polar Research 41(2): 99-105. https://doi.org/10.4217/OPR.2019.41.2.099
  25. Horne, E.J.S., J. Fieberg, L. Borger, J.L. Rachlow, J.M. Calabrese and C.H. Fleming(2019) Animal Home Ranges. Population Ecology in Practice.
  26. Horne, J.S., E.O. Garton, S.M. Krone and J.S. Lewis(2007) Analyzing animal movements using Brownian bridges. Ecology 88(9): 2354-2363. https://doi.org/10.1890/06-0957.1
  27. Kang, H.S. and K.J. Paek(2005) Evaluating home ranges of endangered Asiatic black bears for in situ conservation. Korean Journal of Ecology 26(6): 395-404. (in Korean with English abstract) https://doi.org/10.5141/JEFB.2005.28.6.395
  28. Kang, T., D.H. Kim, H.J. Cho, Y.U. Shin, H. Lee, J.H. Suh and J. Hwang(2014) Movements and Home-range of Mallards by GPS-Mobile based Telemetry (WT-200) in Korea. Korean Journal of Environmental and Ecology 28(6): 642-649. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2014.28.6.642
  29. Kenward, R.E.(2001) A manual for wildlife radio tagging. Academic Press, London, pp.123-146.
  30. Kie, J.G.(2013) A rule-based ad hoc method for selecting a bandwidth in kernel home-range analyses. Animal Biotelemetry 1(1): 1-12. https://doi.org/10.1186/2050-3385-1-1
  31. Kie, J.G., J. Matthiopoulos, J. Fieberg, R.A. Powell, F. Cagnacci, M.S. Mitchell, ... and P.R. Moorcroft(2010) The home-range concept: Are traditional estimators still relevant with modern telemetry technology? Philosophical Transactions of the Royal Society B: Biological Sciences 365(1550): 2221-2231. https://doi.org/10.1098/rstb.2010.0093
  32. Kim, Y., W.S. Lee and C.Y. Choi(2020) Population size and home range estimates of domestic cats (Felis catus) on Mara Islet, Jeju, in the Republic of Korea. Korean Journal of Environmental and Ecology 34(1): 9-17. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2020.34.1.9
  33. Kolts, J.R. and S.B. McRae(2017) Seasonal home range dynamics and sex differences in habitat use in a threatened, coastal marsh bird. Ecology and Evolution 7(4): 1101-1111. https://doi.org/10.1002/ece3.2761
  34. Kranstauber, B., R. Kays, S.D. LaPoint, M. Wikelski and K. Safi(2012) A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. Journal of Animal Ecology 81(4): 738-746. https://doi.org/10.1111/j.1365-2656.2012.01955.x
  35. Lovette, I.J. and J.W. Fitzpatrick(2016) Handbook of bird biology. Cornell University Press, New Jersey, 457pp.
  36. Lyons, A.J., W.C. Turner and W.M. Getz(2013) Home range plus: A space-time characterization of movement over real landscapes. Movement Ecology 1(1): 1-14. https://doi.org/10.1186/2051-3933-1-1
  37. Manfredi, C., L. Soler, M. Lucherini and E.B. Casanave(2006) Home range and habitat use by Geoffroy's cat (Oncifelis geoffroyi) in a wet grassland in Argentina. Journal of Zoology 268(4): 381-387. https://doi.org/10.1111/j.1469-7998.2005.00033.x
  38. Mohr, C.O.(1947) Table of equivalent populations of North American small mammals. The American Midland Naturalist 37(1): 223-249. https://doi.org/10.2307/2421652
  39. Morales, J.M., D.T. Haydon, J. Frair, K.E. Holsinger and J.M. Fryxell(2004) Extracting more out of relocation data: Building movement models as mixtures of random walks. Ecology 85(9): 2436-2445. https://doi.org/10.1890/03-0269
  40. Nathan, R., W.M. Getz, E. Revilla, M. Holyoak, R. Kadmon, D. Saltz and P.E. Smouse(2008) A movement ecology paradigm for unifying organismal movement research. Proceedings of the National Academy of Sciences 105(49): 19052-19059. https://doi.org/10.1073/pnas.0800375105
  41. Nielson, R.M., H. Sawyer, T.L. McDonald and M.R. Nielson(2013) Package 'BBMM'.
  42. Noonan, M.J., M.A. Tucker, C.H. Fleming, T.S. Akre, S.C. Alberts, A.H. Ali, ... and J.M. Calabrese(2019) A comprehensive analysis of autocorrelation and bias in home range estimation. Ecological Monographs 89(2): e01344.
  43. Powell, R.A.(2000) Animal home ranges and territories and home range estimators. In: L. Boitani and T. Fuller(eds.), Research techniques in animal ecology: Controversies and consequences. Columbia University Press 442: 65-110.
  44. R Core Team(2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
  45. Rempel, R.S., A.R. Rodgers and K.F. Abraham(1995) Performance of a GPS animal location system under boreal forest canopy. The Journal of Wildlife Management 59(3): 543-551. https://doi.org/10.2307/3802461
  46. Ross, S.M., J.J. Kelly, R.J. Sullivan, W.J. Perry, D. Mercer, R.M. Davis, ... and V.L. Bristow(1996) Stochastic processes (Vol. 2). New York: Wiley.
  47. Roth, T.C., W.E. Vetter and S.L. Lima(2008) Spatial ecology of winting Accipiter Hawks: Home range, habitat use, and the influence of bird feeders. The Condor 110(2): 260-268. https://doi.org/10.1525/cond.2008.8489
  48. Ryan, S.J., C.U. Knechtel and W.M. Getz(2006) Range and habitat selection of African buffalo in South Africa. The Journal of Wildlife Management 70(3): 764-776. https://doi.org/10.2193/0022-541X(2006)70[764:RAHSOA]2.0.CO;2
  49. Seaman, D.E. and R.A. Powell(1996) An evaluation of the accuracy of kernel density estimators for home range analysis. Ecology 77(7): 2075-2085. https://doi.org/10.2307/2265701
  50. Signer, J. and N. Balkenhol(2015) Reproducible home ranges (rhr): A new, user-friendly R package for analyses of wildlife telemetry data. Wildlife Society Bulletin 39(2): 358-363. https://doi.org/10.1002/wsb.539
  51. Silva, I., C.H. Fleming, M.J. Noonan, J. Alston, C. Folta, W.F. Fagan and J.M. Calabrese(2021) Autocorrelation-informed home range estimation: A review and practical guide.
  52. Silva, I., M. Crane, P. Suwanwaree, C. Strine and M. Goode(2018) Using dynamic Brownian Bridge Movement Models to identify home range size and movement patterns in king cobras. PloS One 13(9): e0203449. https://doi.org/10.1371/journal.pone.0203449
  53. Silverman, B.W.(1986) Kernel density estimation technique for statistics and data analysis. Monographs on Statistics and Applied Probability: 26.
  54. Son, S.J., J.H. Kang, I.K. Kwon, D.H. Kim, K.S. Lee and J.C. Yoo(2020) A comparative study of juvenile black-faced spoonbills Platalea Minor home range in Gujido and Chilsando islets, South Korea. Korean Journal of Environmental and Ecology 34(2): 99-105. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2020.34.2.99
  55. Son, S.J., J.W. Oh, B.R. Hyun and J.H. Kang(2021) Home range of juvenile Chinese egrets Egretta eulophotes during post-fledging stage in Chilsan Archipelago, Republic of Korea. Korean Journal of Environmental and Ecology 35(2): 98-105. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2021.35.2.98
  56. Squires, J.R. and T. Laurion(2000) Lynx home range and movements in Montana and Wyoming: Preliminary results [Chapter 11]. In: L.F. Ruggiero, K.B. Aubry, S.W. Buskirk, G.M. Koehler, C.J. Krebs, K.S. McKelvey and J.R. Squires(eds.), Ecology and conservation of lynx in the United States. Gen. Tech. Rep. RMRS-GTR-30WWW. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station, pp.337-350.
  57. Stenhouse, I.J., A.M. Berlin, A.T. Gilbert, M.W. Goodale, C.E. Gray, W.A. Montevecchi, ... and C.S. Spiegel(2020) Assessing the exposure of three diving bird species to offshore wind areas on the US Atlantic Outer Continental Shelf using satellite telemetry. Diversity and Distributions 26(12): 1703-1714. https://doi.org/10.1111/ddi.13168
  58. Swihart, R.K. and N.A. Slade(1985) Influence of sampling interval on estimates of home-range size. The Journal of Wildlife Management 49(4): 1019-1025. https://doi.org/10.2307/3801388
  59. Tonra, C.M., J.R. Wright and S.N. Matthews(2019) Remote estimation of overwintering home ranges in an elusive, migratory nocturnal bird. Ecology and Evolution 9(22): 12586-12599. https://doi.org/10.1002/ece3.5723
  60. Turchin, P.(1998) Quantitative analysis of movement: Measuring and modeling population redistribution in animals and plants. Sunderland Sinauer Associates.
  61. Van Winkle Jr, W., D.C. Martin and M.J. Sebetich(1973) A Home-Range Model for Animals Inhibiting and Ecotone. Ecology 54(1): 205-209. https://doi.org/10.2307/1934392
  62. Walter, W.D., J.W. Fischer, S. Baruch-Mordo and K.C. VerCauteren(2011) What is the proper method to delineate home range of an animal using today's advanced GPS telemetry systems: The initial step. In: O. Krejcar(ed.), Modern telemetry. Books on Demand, 68pp.
  63. Werdel, T.J., J.A. Jenks, J.T. Kanta, C.P. Lehman and T.J. Frink(2021) Space use and movement patterns of translocated bighorn sheep. Mammalian Biology 101(3): 329-344. https://doi.org/10.1007/s42991-021-00107-4
  64. White, G.C. and R.A. Garrott(1990) Analysis of Wildlife Radio-tracking Data. Academic Press, San Diego.
  65. Wikelski, M., R.W. Kays, N.J. Kasdin, K. Thorup, J.A. Smith and G.W. Swenson Jr.(2007) Going wild: What a global small-animal tracking system could do for experimental biologists. Journal of Experimental Biology 210(2): 181-186. https://doi.org/10.1242/jeb.02629
  66. Wiktander, U., O. Olsson and S.G. Nilsson(2001) Seasonal variation in home-range size, and habitat area requirement of the lesser spotted woodpecker (Dendrocopos minor) in southern Sweden. Biological Conservation 100(3): 387-395. https://doi.org/10.1016/S0006-3207(01)00045-3
  67. Worton, B.J.(1989) Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70(1): 164-168. https://doi.org/10.2307/1938423
  68. Yoo, S.H., K.S. Lee and C.H. Park(2013) MCP, kernel density estimation and LoCoH analysis for the core area zoning of the Red-crowned Crane's feeding habitat in Cheorwon, Korea. Korean Journal of Environment and Ecology 27(1): 11-21. (in Korean with English abstract)