期刊论文详细信息
Movement Ecology
Home range plus: a space-time characterization of movement over real landscapes
Wayne M Getz3  Wendy C Turner1  Andrew J Lyons2 
[1] Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, 0361, Norway;Department of Environmental Science Policy & Management, University of California at Berkeley, 130 Mulford Hall, CA 94720-3114, USA;School of Mathematical Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban, 4000, South Africa
关键词: Utilization distribution;    T-LoCoH;    Time use;    Springbok;    Revisitation;    Movement phase;    Movement ecology;    LoCoH;    GPS;   
Others  :  803089
DOI  :  10.1186/2051-3933-1-2
 received in 2012-11-17, accepted in 2013-02-11,  发布年份 2013
PDF
【 摘 要 】

Background

Advances in GPS technology have created both opportunities in ecology as well as a need for analytical tools that can deal with the growing volume of data and ancillary variables associated with each location.

Results

We present T-LoCoH, a home range construction algorithm that incorporates time into the construction and aggregation of local kernels. Time is integrated with Euclidean space using an adaptive scaling of the individual's characteristic velocity, enabling the construction of utilization distributions that capture temporal partitions of space as well as contours that differentiate internal space based on movement phase and time-use metrics. We test T-LoCoH against a simulated dataset and provide illustrative examples from a GPS dataset from springbok in Namibia.

Conclusions

The incorporation of time into home range construction expands the concept of utilization distributions beyond the traditional density gradient to spatial models of movement and time, opening the door to new applications in movement ecology.

【 授权许可】

   
2013 Lyons et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140708033806922.pdf 3382KB PDF download
Figure 12. 70KB Image download
Figure 11. 66KB Image download
Figure 10. 95KB Image download
Figure 9. 56KB Image download
Figure 8. 66KB Image download
Figure 7. 100KB Image download
Figure 6. 114KB Image download
Figure 5. 121KB Image download
Figure 4. 101KB Image download
Figure 3. 75KB Image download
Figure 2. 67KB Image download
Figure 1. 105KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Figure 11.

Figure 12.

【 参考文献 】
  • [1]Hebblewhite M, Haydon DT: Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology. Philosophical Transactions of the Royal Society B: Biological Sciences 2010, 365:2303-2312.
  • [2]Tomkiewicz SM, Fuller MR, Kie JG, Bates KK: Global positioning system and associated technologies in animal behaviour and ecological research. Philosophical Transactions of the Royal Society B: Biological Sciences 2010, 365:2163-2176.
  • [3]Cagnacci F, Boitani L, Powell RA, Boyce MS: Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Philosophical Transactions of the Royal Society B: Biological Sciences 2010, 365:2157-2162.
  • [4]Urbano F, Cagnacci F: Calenge Cm, Dettki H, Cameron A, Neteler M: Wildlife tracking data management: a new vision. Philosophical Transactions of the Royal Society B: Biological Sciences 2010, 365:2177-2185.
  • [5]Kie JG, Matthiopoulos J, Fieberg J, Powell RA, Cagnacci F, Mitchell MS, Gaillard JM, Moorcroft PR: The home-range concept: Are traditional estimators still relevant with modern telemetry technology? Philosophical Transactions of the Royal Society B: Biological Sciences 2010, 365:2221-2231.
  • [6]Laver PN, Kelly MJ: A Critical Review of Home Range Studies. Journal of Wildlife Management 2008, 72:290-298.
  • [7]Burgman MA, Fox JC: Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning. Animal Conservation 2003, 6:19-28.
  • [8]Nilsen EB, Pedersen S, Linnell JDC: Can minimum convex polygon home ranges be used to draw biologically meaningful conclusions? Ecological Research 2008, 23:635-639.
  • [9]Downs JA, Horner MW: Effects of Point Pattern Shape on Home-Range Estimates. The Journal of Wildlife Management 2008, 72:1813-1818.
  • [10]Worton BJ: Kernel Methods for Estimating the Utilization Distribution in Home-Range Studies. Ecology 1989, 70:164-168.
  • [11]Casaer JIM, Hermy M, Coppin POL, Verhagen RON: Analysing space use patterns by Thiessen polygon and triangulated irregular network interpolation: a non-parametric method for processing telemetric animal fixes. International Journal of Geographical Information Science 1999, 13:499-511.
  • [12]Downs J, Horner M: A Characteristic-Hull Based Method for Home Range Estimation. Transactions in GIS 2009, 13:527-537.
  • [13]Getz W, Fortmann-Roe S, Cross P, Lyons A, Ryan S, Wilmers C: LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions. PLoS ONE 2007, 2:e207.
  • [14]Getz W, Wilmers C: A local nearest-neighbor convex-hull construction of home ranges and utilization distributions. Ecography 2004, 27:489-505.
  • [15]Rooney SM, Wolfe A, Hayden TJ: Autocorrelated data in telemetry studies: time to independence and the problem of behavioural effects. Mammal Review 1998, 28:89-98.
  • [16]Harris S, Cresswell WJ, Forde PG, Trewhella WJ, Woollard T, Wray S: Home-range analysis using radio-tracking data–a review of problems and techniques particularly as applied to the study of mammals. Mammal Review 1990, 20:97-123.
  • [17]Katajisto J, Moilanen A: Kernel-based home range method for data with irregular sampling intervals. Ecological Modelling 2006, 194:405-413.
  • [18]Horne JS, Garton EO, Krone SM, Lewis JS: Analyzing Animal Movements Using Brownian Bridges. Ecology 2007, 88:2354-2363.
  • [19]Kranstauber B, Kays R, LaPoint S, Wikelski M, Safi K: A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. Journal of Animal Ecology 2012, 81:738-746.
  • [20]Benhamou S, Cornélis D: Incorporating Movement Behavior and Barriers to Improve Kernel Home Range Space Use Estimates. Journal of Wildlife Management 2010, 74:1353-1360.
  • [21]Benhamou S: Dynamic Approach to Space and Habitat Use Based on Biased Random Bridges. PLoS ONE 2011, 6:e14592.
  • [22]Long JA, Nelson TA: Time geography and wildlife home range delineation. The Journal of Wildlife Management 2012, 76:407-413.
  • [23]Downs JA, Horner MW, Tucker AD: Time-geographic density estimation for home range analysis. Annals of GIS 2011, 17:163-171.
  • [24]Barraquand F, Benhamou S: Animal Movements in Heterogeneous Landscapes: Identifying Profitable Places and Homogeneous Movement Bouts. Ecology 2008, 89:3336-3348.
  • [25]Fauchald P, Tveraa T: Using first-passage time in the analysis of area-restricted search and habitat selection. Ecology 2003, 84:282-288.
  • [26]Polansky L, Wittemyer G, Cross PC, Tambling CJ, Getz WM: From moonlight to movement and synchronized randomness: Fourier and wavelet analyses of animal location time series data. Ecology 2010, 91:1506-1518.
  • [27]Wittemyer G, Polansky L, Douglas-Hamilton I, Getz WM: Disentangling the effects of forage, social rank, and risk on movement autocorrelation of elephants using Fourier and wavelet analyses. Proceedings of the National Academy of Sciences 2008, 105:19108-19113.
  • [28]Bar-David S, Bar-David I, Cross PC, Ryan SJ, Knechtel CU, Getz WM: Methods for assessing movement path recursion with application to African buffalo in South Africa. Ecology 2009, 90:2467-2479.
  • [29]Tremblay Y, Roberts AJ, Costa DP: Fractal landscape method: an alternative approach to measuring area-restricted searching behavior. J Exp Biol 2007, 210:935-945.
  • [30]Knell AS, Codling EA: Classifying area-restricted search (ARS) using a partial sum approach. Theoretical Ecology 2012, 5:325-339.
  • [31]Preisler HK, Ager AA, Johnson BK, Kie JG: Modeling animal movements using stochastic differential equations. Environmetrics 2004, 15:643-657.
  • [32]Morales JM, Haydon DT, Frair J, Holsinger KE, Fryxell JM: Extracting more out of relocation data: Building movement models as mixtures of random walks. Ecology 2004, 85:2436-2445.
  • [33]Jonsen ID, Myers RA, Flemming JM: Meta-Analysis of Animal Movement using State-Space Models. Ecology 2003, 84:3055-3063.
  • [34]Patterson TA, Thomas L, Wilcox C, Ovaskainen O, Matthiopoulos J: State-space models of individual animal movement. Trends in Ecology & Evolution 2008, 23:87-94.
  • [35]Tang W, Bennett DA: Agent-based Modeling of Animal Movement: A Review. Geography Compass 2010, 4:682-700.
  • [36]Railsback SF, Harvey BC: Analysis of Habitat-Selection Rules Using an Individual-Based Model. Ecology 2002, 83:1817-1830.
  • [37]Bartumeus F, Levin SA: Fractal reorientation clocks: Linking animal behavior to statistical patterns of search. Proceedings of the National Academy of Sciences 2008, 105:19072-19077.
  • [38]Getz WM, Saltz D: A framework for generating and analyzing movement paths on ecological landscapes. Proceedings of the National Academy of Sciences of the United States of America 2008, 105:19066-19071.
  • [39]Börger L, Dalziel BD, Fryxell JM: Are there general mechanisms of animal home range behaviour? A review and prospects for future research. Ecology Letters 2008, 11:637-650.
  • [40]Nielsen S, Boyce M, Stenhouse G, Munro R: Development and testing of phenologically driven grizzly bear habitat models. Ecoscience 2003, 10:1-10.
  • [41]Keating KA, Cherry S: Modeling utilization distributions in space and time. Ecology 2009, 90:1971-1980.
  • [42]Benhamou S, Riotte-Lambert L: Beyond the Utilization Distribution: Identifying home range areas that are intensively exploited or repeatedly visited. Ecological Modelling 2012, 227:112-116.
  • [43]Fieberg J, Börger L: Could you please phrase 'home range' as a question? Journal of Mammalogy 2012, 93:890-902.
  • [44]Nathan R, Getz WM, Revilla E, Holyoak M, Kadmon R, Saltz D, Smouse PE: A movement ecology paradigm for unifying organismal movement research. Proceedings of the National Academy of Sciences 2008, 105:19052-19059.
  • [45]White GC, Garrott RA: Analysis of Wildlife Radio-Tracking Data. San Diego, CA: Academic; 1990.
  • [46]Bingham BB, Noon BR: Mitigation of Habitat “Take”: Application to Habitat Conservation Planning. Conservation Biology 1997, 11:127-139.
  • [47]Samuel MD, Pierce DJ, Garton EO: Identifying Areas of Concentrated Use within the Home Range. Journal of Animal Ecology 1985, 54:711-719.
  • [48]Barg JJ, Jones J, Robertson RJ: Describing breeding territories of migratory passerines: suggestions for sampling, choice of estimator, and delineation of core areas. Journal of Animal Ecology 2005, 74:139-149.
  • [49]Nagy KA, Knight MH: Energy, water, and food use by springbok antelope (Antidorcas marsupialis) in the Kalahari desert. Journal of Mammalogy 1994, 75:860-872.
  • [50]Ritter R, Bednekoff P: Dry season water, female movements and male territoriality in springbok: Preliminary evidence of waterhole-directed sexual selection. African Journal of Ecology 1995, 33:395-404.
  • [51]ESRI: ArcGIS Desktop. Environmental Systems Research Institute: Release 9.2. Redlands, CA; 2009.
  • [52]R Development Core Team: R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2012.
  • [53]Millspaugh JJ, Nielson RM, McDonald L, Marzluff JM, Gitzen RA, Rittenhouse CD, Hubbard MW, Sheriff SL: Analysis of Resource Selection Using Utilization Distributions. The Journal of Wildlife Management 2006, 70:384-395.
  • [54]Long RA, Muir JD, Rachlow JL, Kie JG: A Comparison of Two Modeling Approaches for Evaluating Wildlife-Habitat Relationships. The Journal of Wildlife Management 2009, 73:294-302.
  • [55]Downs JA, Heller JH, Loraamm R, Stein DO, McDaniel C, Onorato D: Accuracy of home range estimators for homogeneous and inhomogeneous point patterns. Ecological Modelling 2012, 225:66-73.
  文献评价指标  
  下载次数:75次 浏览次数:28次