메뉴 건너뛰기




Volumn 28, Issue 8, 2014, Pages 1590-1609

Benefits and drawbacks of two modelling approaches for a generalist carnivore: can models predict where Wile E. Coyote will turn up next?

Author keywords

boosted regression trees; coyotes; GLMM; machine learning; species distribution models

Indexed keywords


EID: 84901270234     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2013.847444     Document Type: Article
Times cited : (12)

References (91)
  • 1
    • 39549116366 scopus 로고    scopus 로고
    • Estimating space-use and habitat preference from wildlife telemetry data
    • Aarts, G., et al., 2008. Estimating space-use and habitat preference from wildlife telemetry data. Ecography, 31 (1), 140-160.
    • (2008) Ecography , vol.31 , Issue.1 , pp. 140-160
    • Aarts, G.1
  • 3
    • 77956724793 scopus 로고    scopus 로고
    • An empirical comparison of machine learning models for time series forecasting
    • Ahmed, N.K., et al. 2010. An empirical comparison of machine learning models for time series forecasting. Econometric Reviews, 29 (5), 594-621.
    • (2010) Econometric Reviews , vol.29 , Issue.5 , pp. 594-621
    • Ahmed, N.K.1
  • 4
  • 5
    • 33748529602 scopus 로고    scopus 로고
    • Five (or so) challenges for species distribution modelling
    • Araújo, M.B. and Guisan, A., 2006. Five (or so) challenges for species distribution modelling. Journal of Biogeography, 33 (10), 1677-1688.
    • (2006) Journal of Biogeography , vol.33 , Issue.10 , pp. 1677-1688
    • Araújo, M.B.1    Guisan, A.2
  • 6
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo, M.B. and New, M., 2007. Ensemble forecasting of species distributions. Trends in Ecology & Evolution, 22 (1), 42-47.
    • (2007) Trends in Ecology & Evolution , vol.22 , Issue.1 , pp. 42-47
    • Araújo, M.B.1    New, M.2
  • 7
    • 0037202447 scopus 로고    scopus 로고
    • Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
    • Austin, M.P., 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling, 157 (2-3), 101-118.
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 101-118
    • Austin, M.P.1
  • 8
    • 33847675260 scopus 로고    scopus 로고
    • Species distribution models and ecological theory: a critical assessment and some possible new approaches
    • Austin, M., 2007. Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecological Modelling, 200 (1-2), 1-19.
    • (2007) Ecological Modelling , vol.200 , Issue.1-2 , pp. 1-19
    • Austin, M.1
  • 11
    • 31944452324 scopus 로고    scopus 로고
    • An introduction to ensemble methods for data analysis
    • Berk, R.A. 2006. An introduction to ensemble methods for data analysis. Sociological Methods & Research, 34 (3), 263-295.
    • (2006) Sociological Methods & Research , vol.34 , Issue.3 , pp. 263-295
    • Berk, R.A.1
  • 12
    • 24944521030 scopus 로고    scopus 로고
    • Version 3.27 [online]. Available from:, [Accessed 5 November 2010]
    • Beyer, H., 2007. Hawth's analysis tools for ArcGIS. Version 3.27 [online]. Available from: http://www.spatialecology.com/htools/index.php [Accessed 5 November 2010].
    • (2007) Hawth's analysis tools for ArcGIS
    • Beyer, H.1
  • 13
    • 77955180866 scopus 로고    scopus 로고
    • The interpretation of habitat preference metrics under use-availability designs
    • Beyer, H.L., et al., 2010. The interpretation of habitat preference metrics under use-availability designs. Philosophical Transactions of the Royal Society B: Biological Sciences, 365 (1550), 2245-2254.
    • (2010) Philosophical Transactions of the Royal Society B: Biological Sciences , vol.365 , Issue.1550 , pp. 2245-2254
    • Beyer, H.L.1
  • 15
    • 0037202455 scopus 로고    scopus 로고
    • Evaluating resource selection functions
    • Boyce, M.S., et al., 2002. Evaluating resource selection functions. Ecological Modelling, 157 (2-3), 281-300.
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 281-300
    • Boyce, M.S.1
  • 16
    • 0033168939 scopus 로고    scopus 로고
    • Relating populations to habitats using resource selection functions
    • Boyce, M.S. and McDonald, L.L., 1999. Relating populations to habitats using resource selection functions. Trends in Ecology & Evolution, 14 (7), 268-272.
    • (1999) Trends in Ecology & Evolution , vol.14 , Issue.7 , pp. 268-272
    • Boyce, M.S.1    McDonald, L.L.2
  • 17
    • 0000245743 scopus 로고    scopus 로고
    • Statistical modeling: the two cultures
    • Breiman, L., 2001. Statistical modeling: the two cultures. Statistical Science, 16 (3), 199-215.
    • (2001) Statistical Science , vol.16 , Issue.3 , pp. 199-215
    • Breiman, L.1
  • 18
    • 0003120670 scopus 로고    scopus 로고
    • Generalized linear models: checking assumptions and strengthening conclusions
    • Breslow, N.E., 1996. Generalized linear models: checking assumptions and strengthening conclusions. Statistica Applicata, 8, 23-41.
    • (1996) Statistica Applicata , vol.8 , pp. 23-41
    • Breslow, N.E.1
  • 21
    • 77950465641 scopus 로고    scopus 로고
    • Using 'blackbox' algorithms such as TreeNet and Random Forests for data-mining and for finding meaningful patterns, relationships and outliers in complex ecological data: an overview, an example using golden eagle satellite data and an outlook for a promising future
    • In: Wang H.-F., editors. In:, Hershey, PA,: Information Science Reference
    • Craig, E. and Huettmann, F., 2009. Using 'blackbox' algorithms such as TreeNet and Random Forests for data-mining and for finding meaningful patterns, relationships and outliers in complex ecological data: an overview, an example using golden eagle satellite data and an outlook for a promising future. In: H.-F. Wang, ed. Intelligent data analysis: developing new methodologies through pattern discovery and recovery. Hershey, PA: Information Science Reference, 65-84.
    • (2009) Intelligent data analysis: Developing new methodologies through pattern discovery and recovery , pp. 65-84
    • Craig, E.1    Huettmann, F.2
  • 23
    • 38449114584 scopus 로고    scopus 로고
    • Random forests for classification in ecology
    • Cutler, D.R., et al., 2007. Random forests for classification in ecology. Ecology, 88 (11), 2783-2792.
    • (2007) Ecology , vol.88 , Issue.11 , pp. 2783-2792
    • Cutler, D.R.1
  • 24
    • 0020869632 scopus 로고
    • An ecological subdivision of the island of Newfoundland
    • In: South G.R., editors. In:, The Hague,: Dr. W. Junk
    • Damman, A.W.H., 1983. An ecological subdivision of the island of Newfoundland. In: G.R. South, ed. Biogeography and ecology of the island of Newfoundland. The Hague: Dr. W. Junk, 163-206.
    • (1983) Biogeography and ecology of the island of Newfoundland , pp. 163-206
    • Damman, A.W.H.1
  • 25
    • 34247115449 scopus 로고    scopus 로고
    • Boosted trees for ecological modeling and prediction
    • De'ath, G., 2007. Boosted trees for ecological modeling and prediction. Ecology, 88 (1), 243-251.
    • (2007) Ecology , vol.88 , Issue.1 , pp. 243-251
    • De'ath, G.1
  • 26
    • 18444399316 scopus 로고    scopus 로고
    • Effects of radio-collar position and orientation on GPS radio-collar performance, and the implications of PDOP in data screening
    • D'eon, R.G. and Delparte, D., 2005. Effects of radio-collar position and orientation on GPS radio-collar performance, and the implications of PDOP in data screening. Journal of Applied Ecology, 42 (2), 383-388.
    • (2005) Journal of Applied Ecology , vol.42 , Issue.2 , pp. 383-388
    • D'eon, R.G.1    Delparte, D.2
  • 27
    • 0032994862 scopus 로고    scopus 로고
    • Eliminating autocorrelation reduces biological relevance of home range estimates
    • de Solla, S.R., Bonduriansky, R., and Brooks, R.J., 1999. Eliminating autocorrelation reduces biological relevance of home range estimates. Journal of Animal Ecology, 68 (2), 221-234.
    • (1999) Journal of Animal Ecology , vol.68 , Issue.2 , pp. 221-234
    • de Solla, S.R.1    Bonduriansky, R.2    Brooks, R.J.3
  • 29
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species distributions from occurrence data
    • Elith, J., et al., 2006. Novel methods improve prediction of species distributions from occurrence data. Ecography, 29 (2), 129-151.
    • (2006) Ecography , vol.29 , Issue.2 , pp. 129-151
    • Elith, J.1
  • 30
  • 31
    • 48249139775 scopus 로고    scopus 로고
    • Utilization distribution estimation using weighted kernel density estimators
    • Fieberg, J., 2007a. Utilization distribution estimation using weighted kernel density estimators. Journal of Wildlife Management, 71 (5), 1669-1675.
    • (2007) Journal of Wildlife Management , vol.71 , Issue.5 , pp. 1669-1675
    • Fieberg, J.1
  • 32
    • 34247345364 scopus 로고    scopus 로고
    • Kernel density estimators of home range: smoothing and the autocorrelation red herring
    • Fieberg, J., 2007b. Kernel density estimators of home range: smoothing and the autocorrelation red herring. Ecology, 88 (4), 1059-1066.
    • (2007) Ecology , vol.88 , Issue.4 , pp. 1059-1066
    • Fieberg, J.1
  • 33
    • 70349682578 scopus 로고    scopus 로고
    • Regression modelling of correlated data in ecology: subject-specific and population averaged response patterns
    • Fieberg, J., et al., 2009. Regression modelling of correlated data in ecology: subject-specific and population averaged response patterns. Journal of Applied Ecology, 46 (5), 1018-1025.
    • (2009) Journal of Applied Ecology , vol.46 , Issue.5 , pp. 1018-1025
    • Fieberg, J.1
  • 34
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence/absence models
    • Fielding, A.H. and Bell, J.F., 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24 (1), 38-49.
    • (1997) Environmental Conservation , vol.24 , Issue.1 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 35
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: a gradient boosting machine
    • Friedman, J.H., 2001. Greedy function approximation: a gradient boosting machine. Annals of Statistics, 29 (5), 1189-1232.
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 37
    • 33748517002 scopus 로고    scopus 로고
    • Application of random effects to the study of resource selection by animals
    • Gillies, C.S., et al., 2006. Application of random effects to the study of resource selection by animals. Journal of Animal Ecology, 75 (4), 887-898.
    • (2006) Journal of Animal Ecology , vol.75 , Issue.4 , pp. 887-898
    • Gillies, C.S.1
  • 38
    • 84869432608 scopus 로고    scopus 로고
    • Pseudo-absences, pseudo-models and pseudo-niches: pitfalls of model selection based on the area under the curve
    • Golicher, D., et al., 2012. Pseudo-absences, pseudo-models and pseudo-niches: pitfalls of model selection based on the area under the curve. International Journal of Geographical Information Science, 26 (11), 2049-2063.
    • (2012) International Journal of Geographical Information Science , vol.26 , Issue.11 , pp. 2049-2063
    • Golicher, D.1
  • 40
    • 33646540398 scopus 로고    scopus 로고
    • Making better biogeographical predictions of species' distributions
    • Guisan, A., et al., 2006. Making better biogeographical predictions of species' distributions. Journal of Applied Ecology, 43 (3), 386-392.
    • (2006) Journal of Applied Ecology , vol.43 , Issue.3 , pp. 386-392
    • Guisan, A.1
  • 41
    • 34247368824 scopus 로고    scopus 로고
    • Sensitivity of predictive species distribution models to change in grain size
    • Guisan, A., et al., 2007. Sensitivity of predictive species distribution models to change in grain size. Diversity and Distributions, 13 (3), 332-340.
    • (2007) Diversity and Distributions , vol.13 , Issue.3 , pp. 332-340
    • Guisan, A.1
  • 42
    • 0034610199 scopus 로고    scopus 로고
    • Predictive habitat distribution models in ecology
    • Guisan, A. and Zimmermann, N.E., 2000. Predictive habitat distribution models in ecology. Ecological Modelling, 135 (2-3), 147-186.
    • (2000) Ecological Modelling , vol.135 , Issue.2-3 , pp. 147-186
    • Guisan, A.1    Zimmermann, N.E.2
  • 43
    • 69549133517 scopus 로고    scopus 로고
    • Measuring classifier performance: a coherent alternative to the area under the ROC curve
    • Hand, D., 2009. Measuring classifier performance: a coherent alternative to the area under the ROC curve. Machine Learning, 77 (1), 103-123.
    • (2009) Machine Learning , vol.77 , Issue.1 , pp. 103-123
    • Hand, D.1
  • 44
    • 0002427703 scopus 로고
    • Social ecology of coyotes in eastern North America: relationships to dispersal, food resources, and human exploitation
    • In: Boer A.H., editors. In:, Fredericton, NB,: Wildlife Research Unit, University of New Brunswick
    • Harrison, D.J., 1992. Social ecology of coyotes in eastern North America: relationships to dispersal, food resources, and human exploitation. In: A.H. Boer, ed. Ecology and management of the eastern coyote. Fredericton, NB: Wildlife Research Unit, University of New Brunswick, 53-72.
    • (1992) Ecology and management of the eastern coyote , pp. 53-72
    • Harrison, D.J.1
  • 46
    • 42949083633 scopus 로고    scopus 로고
    • Modelling wildlife-human relationships for social species with mixed-effects resource selection models
    • Hebblewhite, M. and Merrill, E., 2008. Modelling wildlife-human relationships for social species with mixed-effects resource selection models. Journal of Applied Ecology, 45 (3), 834-844.
    • (2008) Journal of Applied Ecology , vol.45 , Issue.3 , pp. 834-844
    • Hebblewhite, M.1    Merrill, E.2
  • 47
    • 48249133952 scopus 로고    scopus 로고
    • Data-mining discovery of pattern and process in ecological systems
    • Hochachka, W.M., et al., 2007. Data-mining discovery of pattern and process in ecological systems. Journal of Wildlife Management, 71 (7), 2427-2437.
    • (2007) Journal of Wildlife Management , vol.71 , Issue.7 , pp. 2427-2437
    • Hochachka, W.M.1
  • 48
    • 0003065196 scopus 로고
    • The comparison of usage and availability measurements for evaluating resource preference
    • Johnson, D.H., 1980. The comparison of usage and availability measurements for evaluating resource preference. Ecology, 61 (1), 65-71.
    • (1980) Ecology , vol.61 , Issue.1 , pp. 65-71
    • Johnson, D.H.1
  • 49
    • 77955218944 scopus 로고    scopus 로고
    • The home-range concept: are traditional estimators still relevant with modern telemetry technology?
    • Kie, J.G., et al., 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.
    • (2010) Philosophical Transactions of the Royal Society B: Biological Sciences , vol.365 , Issue.1550 , pp. 2221-2231
    • Kie, J.G.1
  • 50
    • 0026312071 scopus 로고
    • Seasonal resource use among mountain lions, bobcats, and coyotes
    • Koehler, G.M. and Hornocker, M.G., 1991. Seasonal resource use among mountain lions, bobcats, and coyotes. Journal of Mammalogy, 72 (2), 391-396.
    • (1991) Journal of Mammalogy , vol.72 , Issue.2 , pp. 391-396
    • Koehler, G.M.1    Hornocker, M.G.2
  • 51
    • 65349137147 scopus 로고    scopus 로고
    • Generalized estimating equations and generalized linear mixed-effects models for modelling resource selection
    • Koper, N. and Manseau, M., 2009. Generalized estimating equations and generalized linear mixed-effects models for modelling resource selection. Journal of Applied Ecology, 46 (3), 590-599.
    • (2009) Journal of Applied Ecology , vol.46 , Issue.3 , pp. 590-599
    • Koper, N.1    Manseau, M.2
  • 52
    • 80855132792 scopus 로고    scopus 로고
    • Assessing the influence of resource covariates at multiple spatial scales: an application to forest-dwelling caribou faced with intensive human activity
    • Leblond, M., et al., 2011. Assessing the influence of resource covariates at multiple spatial scales: an application to forest-dwelling caribou faced with intensive human activity. Landscape Ecology, 26, 1433-1446.
    • (2011) Landscape Ecology , vol.26 , pp. 1433-1446
    • Leblond, M.1
  • 53
    • 34249053843 scopus 로고    scopus 로고
    • Effects of habitat on GPS collar performance: using data screening to reduce location error
    • Lewis, J.S., et al., 2007. Effects of habitat on GPS collar performance: using data screening to reduce location error. Journal of Applied Ecology, 44 (3), 663-671.
    • (2007) Journal of Applied Ecology , vol.44 , Issue.3 , pp. 663-671
    • Lewis, J.S.1
  • 54
    • 38949161848 scopus 로고    scopus 로고
    • AUC: a misleading measure of the performance of predictive distribution models
    • Lobo, J.M., Jiménez-Valverde, A., and Real, R., 2008. AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography, 17 (2), 145-151.
    • (2008) Global Ecology and Biogeography , vol.17 , Issue.2 , pp. 145-151
    • Lobo, J.M.1    Jiménez-Valverde, A.2    Real, R.3
  • 55
    • 0036860556 scopus 로고    scopus 로고
    • Long-term changes in demography and migration of Newfoundland caribou
    • Mahoney, S.P. and Schaefer, J.A., 2002. Long-term changes in demography and migration of Newfoundland caribou. Journal of Mammalogy, 83 (4), 957-963.
    • (2002) Journal of Mammalogy , vol.83 , Issue.4 , pp. 957-963
    • Mahoney, S.P.1    Schaefer, J.A.2
  • 57
    • 70449518430 scopus 로고    scopus 로고
    • The performance of state-of-the-art modelling techniques depends on geographical distribution of species
    • Marmion, M., et al., 2009. The performance of state-of-the-art modelling techniques depends on geographical distribution of species. Ecological Modelling, 220 (24), 3512-3520.
    • (2009) Ecological Modelling , vol.220 , Issue.24 , pp. 3512-3520
    • Marmion, M.1
  • 60
    • 79957607918 scopus 로고    scopus 로고
    • Spatial nonstationarity and the scale of species-environment relationships in the Mojave Desert, California, USA
    • Miller, J.A. and Hanham, R.Q., 2011. Spatial nonstationarity and the scale of species-environment relationships in the Mojave Desert, California, USA. International Journal of Geographical Information Science, 25 (3), 423-438.
    • (2011) International Journal of Geographical Information Science , vol.25 , Issue.3 , pp. 423-438
    • Miller, J.A.1    Hanham, R.Q.2
  • 61
    • 84869449716 scopus 로고    scopus 로고
    • Influence of positional accuracy, sample size and scale on modelling species distributions: a review
    • Moudrý, V. and Šimová, P., 2012. Influence of positional accuracy, sample size and scale on modelling species distributions: a review. International Journal of Geographical Information Science, 26 (11), 2083-2095.
    • (2012) International Journal of Geographical Information Science , vol.26 , Issue.11 , pp. 2083-2095
    • Moudrý, V.1    Šimová, P.2
  • 62
    • 84901268594 scopus 로고    scopus 로고
    • Natural Resources Canada, Centre for Topographic Information [NRC]. Available from:, [Accessed 5 November 2010]
    • Natural Resources Canada, Centre for Topographic Information [NRC], 2001. Canada3D: product standard [online]. Sherbrooke, QC: Department of Natural Resources (Canada). Available from: http://www.geogratis.ca/geogratis/en/download/dem.html [Accessed 5 November 2010].
    • (2001) Canada3D: Product standard [online]. Sherbrooke, QC: Department of Natural Resources (Canada)
  • 63
    • 84901265591 scopus 로고    scopus 로고
    • Natural Resources Canada, Centre for Topographic Information [NRC]. Sherbrooke, QC: Department of Natural Resources (Canada). Version 1.0. Available from:, [Accessed 5 November 2010]
    • Natural Resources Canada, Centre for Topographic Information [NRC], 2007a. National Hydro Network: data product specifications distribution profile [online]. Sherbrooke, QC: Department of Natural Resources (Canada). Version 1.0. Available from: http://geobase.ca/geobase/en/data/nhn/index.html [Accessed 5 November 2010].
    • (2007) National Hydro Network: Data product specifications distribution profile [online]
  • 64
    • 84899573847 scopus 로고    scopus 로고
    • Natural Resources Canada, Centre for Topographic Information [NRC]. Sherbrooke, QC: Department of Natural Resources (Canada). Version 2.0. Available from:, [Accessed 5 November 2010]
    • Natural Resources Canada, Centre for Topographic Information [NRC], 2007b. National Road Network: data product specifications [online]. Sherbrooke, QC: Department of Natural Resources (Canada). Version 2.0. Available from: http://geobase.ca/geobase/en/data/nrn/index.html [Accessed 5 November 2010].
    • (2007) National Road Network: Data product specifications [online]
  • 65
    • 84901286709 scopus 로고    scopus 로고
    • Newfoundland and Labrador Department of Environment and Conservation [NLDEC]. [Press release]. St. John's, NL: Government of Newfoundland and Labrador [online, modified 7 February 2008]. Available from:, [Accessed 29 October 2010]
    • Newfoundland and Labrador Department of Environment and Conservation [NLDEC], 2008. Five-year caribou strategy seeks to address declining populations. [Press release]. St. John's, NL: Government of Newfoundland and Labrador [online, modified 7 February 2008]. Available from: http://www.releases.gov.nl.ca/releases/2008/env/0207n06.htm [Accessed 29 October 2010].
    • (2008) Five-year caribou strategy seeks to address declining populations
  • 66
    • 84901261941 scopus 로고    scopus 로고
    • Newfoundland and Labrador Department of Environment and Conservation [NLDEC]. [Press release]. St. John's, NL: Government of Newfoundland and Labrador. [online, modified 8 September 2009]. Available from:, [Accessed 29 October 2010]
    • Newfoundland and Labrador Department of Environment and Conservation [NLDEC], 2009. Caribou resource committee establishing to bring stakeholder perspective to the table. [Press release]. St. John's, NL: Government of Newfoundland and Labrador. [online, modified 8 September 2009]. Available from: http://www.releases.gov.nl.ca/releases/2009/env/0908n02.htm [Accessed 29 October 2010].
    • (2009) Caribou resource committee establishing to bring stakeholder perspective to the table
  • 67
    • 77954817530 scopus 로고    scopus 로고
    • Identification of priority areas for grizzly bear conservation and recovery in Alberta, Canada
    • Nielsen, S.E., Cranston, J., and Stenhouse, G.B., 2009. Identification of priority areas for grizzly bear conservation and recovery in Alberta, Canada. Journal of Conservation Planning, 5, 38-60.
    • (2009) Journal of Conservation Planning , vol.5 , pp. 38-60
    • Nielsen, S.E.1    Cranston, J.2    Stenhouse, G.B.3
  • 68
    • 49249102441 scopus 로고    scopus 로고
    • Machine learning methods without tears: a primer for ecologists
    • Olden, J.D., Lawler, J.J., and Poff, N.L., 2008. Machine learning methods without tears: a primer for ecologists. Quarterly Review of Biology, 83 (2), 171-193.
    • (2008) Quarterly Review of Biology , vol.83 , Issue.2 , pp. 171-193
    • Olden, J.D.1    Lawler, J.J.2    Poff, N.L.3
  • 69
    • 27644453162 scopus 로고    scopus 로고
    • GIS-based application of resource selection functions to the prediction of snow petrel distribution and abundance in East Antarctica: comparing models at multiple scales
    • Oliver, F. and Wotherspoon, S.J., 2005. GIS-based application of resource selection functions to the prediction of snow petrel distribution and abundance in East Antarctica: comparing models at multiple scales. Ecological Modelling, 189, 105-129.
    • (2005) Ecological Modelling , vol.189 , pp. 105-129
    • Oliver, F.1    Wotherspoon, S.J.2
  • 70
    • 0032789781 scopus 로고    scopus 로고
    • Autocorrelation of location estimates and the analysis of radiotracking data
    • Otis, D.L. and White, G.C., 1999. Autocorrelation of location estimates and the analysis of radiotracking data. Journal of Wildlife Management, 63 (3), 1039-1044.
    • (1999) Journal of Wildlife Management , vol.63 , Issue.3 , pp. 1039-1044
    • Otis, D.L.1    White, G.C.2
  • 71
    • 33646242418 scopus 로고    scopus 로고
    • Modelling distribution and abundance with presence-only data
    • Pearce, J.L. and Boyce, M.S., 2006. Modelling distribution and abundance with presence-only data. Journal of Applied Ecology, 43 (3), 405-412.
    • (2006) Journal of Applied Ecology , vol.43 , Issue.3 , pp. 405-412
    • Pearce, J.L.1    Boyce, M.S.2
  • 72
    • 0033831709 scopus 로고    scopus 로고
    • Evaluating the predictive performance of habitat models developed using logistic regression
    • Pearce, J. and Ferrier, S., 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133 (3), 225-245.
    • (2000) Ecological Modelling , vol.133 , Issue.3 , pp. 225-245
    • Pearce, J.1    Ferrier, S.2
  • 73
    • 63849333773 scopus 로고    scopus 로고
    • Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
    • Phillips, S.J., et al., 2009. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecological Applications, 19 (1), 181-197.
    • (2009) Ecological Applications , vol.19 , Issue.1 , pp. 181-197
    • Phillips, S.J.1
  • 74
    • 33750407091 scopus 로고    scopus 로고
    • [online R package]. Version 1.6-3.1. Available from:, [Accessed 27 October 2010]
    • Ridgeway, G., 2010. gbm: Generalized Boosted Regression Models. [online R package]. Version 1.6-3.1. Available from: http://CRAN.R-project.org/package=gbm [Accessed 27 October 2010].
    • (2010) Gbm: Generalized Boosted Regression Models
    • Ridgeway, G.1
  • 75
    • 0030274304 scopus 로고    scopus 로고
    • Testing ecological models: the meaning of validation
    • Rykiel, E.J., 1996. Testing ecological models: the meaning of validation. Ecological Modelling, 90 (3), 229-244.
    • (1996) Ecological Modelling , vol.90 , Issue.3 , pp. 229-244
    • Rykiel, E.J.1
  • 77
    • 0030435309 scopus 로고    scopus 로고
    • An evaluation of the accuracy of kernel density estimators for home range analysis
    • Seaman, D.E. and Powell, R.A., 1996. An evaluation of the accuracy of kernel density estimators for home range analysis. Ecology, 77 (7), 2075-2085.
    • (1996) Ecology , vol.77 , Issue.7 , pp. 2075-2085
    • Seaman, D.E.1    Powell, R.A.2
  • 78
    • 63249101978 scopus 로고    scopus 로고
    • Scale effects in species distribution models: implications for conservation planning under climate change
    • Seo, C., et al., 2009. Scale effects in species distribution models: implications for conservation planning under climate change. Biology Letters, 5, 39-43.
    • (2009) Biology Letters , vol.5 , pp. 39-43
    • Seo, C.1
  • 79
    • 0034506328 scopus 로고    scopus 로고
    • Territorial significance of home range estimators for coyotes
    • Shivik, J.A. and Gese, E.M., 2000. Territorial significance of home range estimators for coyotes. Wildlife Society Bulletin, 28 (4), 940-946.
    • (2000) Wildlife Society Bulletin , vol.28 , Issue.4 , pp. 940-946
    • Shivik, J.A.1    Gese, E.M.2
  • 80
    • 78651092000 scopus 로고    scopus 로고
    • [online R package]. Version 1.0-4. Available from:, [Accessed 27 October 2010]
    • Sing, T., et al., 2009. ROCR: visualizing the performance of scoring classifiers. [online R package]. Version 1.0-4. Available from: http://CRAN.R-project.org/package=ROCR [Accessed 27 October 2010].
    • (2009) ROCR: Visualizing the performance of scoring classifiers
    • Sing, T.1
  • 81
    • 70649114623 scopus 로고    scopus 로고
    • Navigating Random Forests and related advances in algorithmic modeling
    • Siroky, D.S., 2009. Navigating Random Forests and related advances in algorithmic modeling. Statistics Surveys, 3, 147-163.
    • (2009) Statistics Surveys , vol.3 , pp. 147-163
    • Siroky, D.S.1
  • 83
    • 34548534919 scopus 로고    scopus 로고
    • Using a Bayesian belief network to predict suitable habitat of an endangered mammal - the Julia Creek dunnart (Sminthopsis douglasi)
    • Smith, C.S., et al., 2007. Using a Bayesian belief network to predict suitable habitat of an endangered mammal - the Julia Creek dunnart (Sminthopsis douglasi). Biological Conservation, 139 (3-4), 333-347.
    • (2007) Biological Conservation , vol.139 , Issue.3-4 , pp. 333-347
    • Smith, C.S.1
  • 84
    • 84868551232 scopus 로고    scopus 로고
    • The sensitivity of species distribution modeling to scale differences
    • Song, W., et al., 2013. The sensitivity of species distribution modeling to scale differences. Ecological Modelling, 248, 113-118.
    • (2013) Ecological Modelling , vol.248 , pp. 113-118
    • Song, W.1
  • 85
    • 69749115231 scopus 로고    scopus 로고
    • New GPS technology improves fix success for large mammal collars in dense tropical forests
    • Tobler, M.W., 2009. New GPS technology improves fix success for large mammal collars in dense tropical forests. Journal of Tropical Ecology, 25 (02), 217-221.
    • (2009) Journal of Tropical Ecology , vol.25 , Issue.2 , pp. 217-221
    • Tobler, M.W.1
  • 86
    • 0242647922 scopus 로고    scopus 로고
    • Predicting species occurrences: progress, problems, and prospects
    • In: Scott J.M., Heglund P.J., Morrison M.L., Haufler J.B., Raphael M.G., Wall W.A., Samson F.B., editors. In:, Washington, DC,: Island Press
    • Wiens, J.A., 2002. Predicting species occurrences: progress, problems, and prospects. In: J.M. Scott, P.J. Heglund, M.L. Morrison, J.B. Haufler, M.G. Raphael, W.A. Wall and F.B. Samson, eds. Predicting species occurrences: issues of accuracy and scale. Washington, DC: Island Press, 739-750.
    • (2002) Predicting species occurrences: Issues of accuracy and scale , pp. 739-750
    • Wiens, J.A.1
  • 87
    • 84900060510 scopus 로고    scopus 로고
    • Variation, use, and mis-use of statistical models: effects on the interpretation of research results
    • In: Drew C.A., Wiersma Y.F., Huettmann F., editors. In:, New York,: Springer, Chapter 11
    • Wiersma, Y.F., 2011. Variation, use, and mis-use of statistical models: effects on the interpretation of research results. In: C.A. Drew, Y.F. Wiersma and F. Huettmann, eds. Predictive species and habitat modeling in landscape ecology: concepts and applications. New York: Springer, Chapter 11.
    • (2011) Predictive species and habitat modeling in landscape ecology: Concepts and applications
    • Wiersma, Y.F.1
  • 89
    • 34247157907 scopus 로고    scopus 로고
    • What carnivore biologists can learn from bugs, birds, and beavers: a review of spatial theories
    • Young, J.K. and Shivik, J.A., 2006. What carnivore biologists can learn from bugs, birds, and beavers: a review of spatial theories. Canadian Journal of Zoology, 84 (12), 1703-1711.
    • (2006) Canadian Journal of Zoology , vol.84 , Issue.12 , pp. 1703-1711
    • Young, J.K.1    Shivik, J.A.2
  • 90
    • 0037202451 scopus 로고    scopus 로고
    • Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns
    • Zaniewski, A., et al., 2002. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecological Modelling, 157 (2-3), 261-280.
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 261-280
    • Zaniewski, A.1
  • 91
    • 70349694123 scopus 로고    scopus 로고
    • Static species distribution models in dynamically changing systems: how good can predictions really be?
    • Zurell, D., et al., 2009. Static species distribution models in dynamically changing systems: how good can predictions really be? Ecography, 32 (5), 733-744.
    • (2009) Ecography , vol.32 , Issue.5 , pp. 733-744
    • Zurell, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.