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Volumn 123, Issue 6, 2014, Pages 652-661

Complexity is costly: A meta-analysis of parametric and non-parametric methods for short-term population forecasting

Author keywords

[No Author keywords available]

Indexed keywords

BIRD; COMPLEXITY; CONSERVATION MANAGEMENT; FORECASTING METHOD; HARVESTING; MAMMAL; META-ANALYSIS; PARAMETERIZATION; SALMONID; TIME SERIES; TROPHIC LEVEL;

EID: 84900401670     PISSN: 00301299     EISSN: 16000706     Source Type: Journal    
DOI: 10.1111/j.1600-0706.2014.00916.x     Document Type: Article
Times cited : (80)

References (50)
  • 1
    • 0035958646 scopus 로고    scopus 로고
    • Noisy clockwork: time series analysis of population fluctuations in animals
    • Bjornstad O. N. and Grenfell B. T. 2001. Noisy clockwork: time series analysis of population fluctuations in animals. - Science 293 : 638 - 643.
    • (2001) Science , vol.293 , pp. 638-643
    • Bjornstad, O.N.1    Grenfell, B.T.2
  • 2
    • 0742323619 scopus 로고    scopus 로고
    • State-space models for the dynamics of wild animal populations
    • Buckland S. T. et al. 2004. State-space models for the dynamics of wild animal populations. - Ecol. Modell. 171 : 157 - 175.
    • (2004) Ecol. Modell. , vol.171 , pp. 157-175
    • Buckland, S.T.1
  • 4
    • 84947318637 scopus 로고
    • Locally weighted regression: an approach to regression analysis by local fitting
    • Cleveland W. S. and Devlin S. J. 1988. Locally weighted regression: an approach to regression analysis by local fitting. - J. Am. Stat. Ass. 83 : 596 - 610.
    • (1988) J. Am. Stat. Ass. , vol.83 , pp. 596-610
    • Cleveland, W.S.1    Devlin, S.J.2
  • 5
    • 62549104185 scopus 로고    scopus 로고
    • Monitoring change in vertebrate abundance: the Living Planet Index
    • Collen B. et al. 2009. Monitoring change in vertebrate abundance: the Living Planet Index. - Conserv. Biol. 23 : 317 - 327.
    • (2009) Conserv. Biol. , vol.23 , pp. 317-327
    • Collen, B.1
  • 6
    • 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 : 2783 - 2792.
    • (2007) Ecology , vol.88 , pp. 2783-2792
    • Cutler, D.R.1
  • 7
  • 8
    • 0026015808 scopus 로고
    • Estimation of growth and extinction parameters for endangered species
    • Dennis B. et al. 1991. Estimation of growth and extinction parameters for endangered species. - Ecol. Monogr. 61 : 115 - 143.
    • (1991) Ecol. Monogr. , vol.61 , pp. 115-143
    • Dennis, B.1
  • 9
    • 33747072045 scopus 로고    scopus 로고
    • Estimating density dependence, process noise, and observation error
    • Dennis B. et al. 2006. Estimating density dependence, process noise, and observation error. - Ecol. Monogr. 76 : 323 - 341.
    • (2006) Ecol. Monogr. , vol.76 , pp. 323-341
    • Dennis, B.1
  • 10
    • 51849096773 scopus 로고    scopus 로고
    • Historical trends in productivity of 120 Pacific pink, chum and sockeye salmon stocks reconstructed by using a Kalman filter
    • Dorner B. et al. 2008. Historical trends in productivity of 120 Pacific pink, chum and sockeye salmon stocks reconstructed by using a Kalman filter. - Can. J. Fish. Aquat. Sci. 65 : 1842 - 1866.
    • (2008) Can. J. Fish. Aquat. Sci. , vol.65 , pp. 1842-1866
    • Dorner, B.1
  • 11
    • 84900445767 scopus 로고    scopus 로고
    • Status review update for Pacific salmon and steelhead listed under the Endangered Species Act. US Dept of Commerce, NOAA Technical Memorandum, NMFS-NWFSC-113. Seattle, WA.
    • Ford M. J. (ed.) 2011. Status review update for Pacific salmon and steelhead listed under the Endangered Species Act. US Dept of Commerce, NOAA Technical Memorandum, NMFS-NWFSC-113. Seattle, WA
    • (2011)
    • Ford, M.J.1
  • 13
    • 49049127476 scopus 로고
    • Comparing alternative tests of causality in temporal systems: analytic results and experimental evidence
    • Geweke J. et al. 1983. Comparing alternative tests of causality in temporal systems: analytic results and experimental evidence. - J. Econometrics 21 : 161 - 194.
    • (1983) J. Econometrics , vol.21 , pp. 161-194
    • Geweke, J.1
  • 14
    • 79952215336 scopus 로고    scopus 로고
    • Detecting and forecasting complex nonlinear dynamics in spatially structured catch-per- unit-effort time series for North Pacific albacore (Thunnus alalunga)
    • Glaser S. M. et al. 2011. Detecting and forecasting complex nonlinear dynamics in spatially structured catch-per- unit-effort time series for North Pacific albacore (Thunnus alalunga). - Can. J. Fish. Aquat. Sci. 68 : 400 - 412.
    • (2011) Can. J. Fish. Aquat. Sci. , vol.68 , pp. 400-412
    • Glaser, S.M.1
  • 15
    • 0015992062 scopus 로고
    • Non-linear age-dependent population dynamics
    • Gurtin M. E. and Maccamy R. C. 1974. Non-linear age-dependent population dynamics. - Arch. Ration. Mech. Anal. 54 : 281 - 300.
    • (1974) Arch. Ration. Mech. Anal. , vol.54 , pp. 281-300
    • Gurtin, M.E.1    Maccamy, R.C.2
  • 16
    • 0021035038 scopus 로고
    • Variable parasitoid sex-ratios and their effect on host-parasitoid dynamics
    • Hassell M. P. et al. 1983. Variable parasitoid sex-ratios and their effect on host-parasitoid dynamics. - J. Anim. Ecol. 52 : 889 - 904.
    • (1983) J. Anim. Ecol. , vol.52 , pp. 889-904
    • Hassell, M.P.1
  • 17
    • 0030616677 scopus 로고    scopus 로고
    • Stochastic dynamics and deterministic skeletons: population behavior of Dungeness crab
    • Higgins K. et al. 1997. Stochastic dynamics and deterministic skeletons: population behavior of Dungeness crab. - Science 276 : 1431 - 1435.
    • (1997) Science , vol.276 , pp. 1431-1435
    • Higgins, K.1
  • 19
    • 0032454842 scopus 로고    scopus 로고
    • Standing on the shoulders of giants: learning from experience in fisheries
    • Hilborn R. and Liermann M. 1998. Standing on the shoulders of giants: learning from experience in fisheries. - Rev. Fish Biol. Fisher. 8 : 273 - 283.
    • (1998) Rev. Fish Biol. Fisher. , vol.8 , pp. 273-283
    • Hilborn, R.1    Liermann, M.2
  • 20
    • 0035942198 scopus 로고    scopus 로고
    • Estimating risks in declining populations with poor data
    • Holmes E. E. 2001. Estimating risks in declining populations with poor data. - Proc. Natl Acad. Sci. USA 98 : 5072 - 5077.
    • (2001) Proc. Natl Acad. Sci. USA , vol.98 , pp. 5072-5077
    • Holmes, E.E.1
  • 21
    • 0012163440 scopus 로고    scopus 로고
    • Validating population viability analysis for corrupted data sets
    • Holmes E. E. and Fagan W. E. 2002. Validating population viability analysis for corrupted data sets. - Ecology 83 : 2379 - 2386.
    • (2002) Ecology , vol.83 , pp. 2379-2386
    • Holmes, E.E.1    Fagan, W.E.2
  • 22
    • 35848962946 scopus 로고    scopus 로고
    • A statistical approach to quasi-extinction forecasting
    • Holmes E. E. et al. 2007. A statistical approach to quasi-extinction forecasting. - Ecol. Lett. 10 : 1182 - 1198.
    • (2007) Ecol. Lett. , vol.10 , pp. 1182-1198
    • Holmes, E.E.1
  • 23
    • 38349129454 scopus 로고    scopus 로고
    • Extending nonlinear analysis to short ecological time series
    • Hsieh C. H. et al. 2008. Extending nonlinear analysis to short ecological time series. - Am. Nat. 171 : 71 - 80.
    • (2008) Am. Nat. , vol.171 , pp. 71-80
    • Hsieh, C.H.1
  • 24
    • 33749517168 scopus 로고    scopus 로고
    • Another look at measures of forecast accuracy
    • Hyndman R. J. and Koehler A. B. 2006. Another look at measures of forecast accuracy. - Int. J. Forecasting 22 : 679 - 688.
    • (2006) Int. J. Forecasting , vol.22 , pp. 679-688
    • Hyndman, R.J.1    Koehler, A.B.2
  • 25
    • 0036071568 scopus 로고    scopus 로고
    • A state space framework for automatic forecasting using exponential smoothing methods
    • Hyndman R. J. et al. 2002. A state space framework for automatic forecasting using exponential smoothing methods. - Int. J. Forecasting 18 : 439 - 454.
    • (2002) Int. J. Forecasting , vol.18 , pp. 439-454
    • Hyndman, R.J.1
  • 26
    • 77950419679 scopus 로고    scopus 로고
    • Analysis of ecological time series with ARMA(p,q) models
    • Ives A. R. et al. 2010. Analysis of ecological time series with ARMA(p, q) models. - Ecology 91 : 858 - 871.
    • (2010) Ecology , vol.91 , pp. 858-871
    • Ives, A.R.1
  • 27
    • 82455187946 scopus 로고    scopus 로고
    • Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance?
    • Knape J. and de Valpine P. 2012. Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance? - Ecol. Lett. 15 : 17 - 23.
    • (2012) Ecol. Lett. , vol.15 , pp. 17-23
    • Knape, J.1    de Valpine, P.2
  • 28
    • 0030428001 scopus 로고    scopus 로고
    • Application of neural networks to modelling nonlinear relationships in ecology
    • Lek S. et al. 1996. Application of neural networks to modelling nonlinear relationships in ecology. - Ecol. Modell. 90 : 39 - 52.
    • (1996) Ecol. Modell. , vol.90 , pp. 39-52
    • Lek, S.1
  • 29
    • 0346991699 scopus 로고    scopus 로고
    • Estimation of population growth and extinction parameters from noisy data
    • Lindley S. T. 2003. Estimation of population growth and extinction parameters from noisy data. - Ecol. Appl. 13 : 806 - 813.
    • (2003) Ecol. Appl. , vol.13 , pp. 806-813
    • Lindley, S.T.1
  • 30
    • 18344377691 scopus 로고    scopus 로고
    • The Living Planet Index: using species population time series to track trends in biodiversity
    • Loh J. et al. 2005. The Living Planet Index: using species population time series to track trends in biodiversity. - Phil. Trans. R. Soc. B 360 : 289 - 295.
    • (2005) Phil. Trans. R. Soc. B , vol.360 , pp. 289-295
    • Loh, J.1
  • 31
    • 0000890960 scopus 로고
    • Thresholds and breakpoints in ecosystems with a multiplicity of stable states
    • May R. M. 1977. Thresholds and breakpoints in ecosystems with a multiplicity of stable states. - Nature 269 : 471 - 477.
    • (1977) Nature , vol.269 , pp. 471-477
    • May, R.M.1
  • 33
    • 0000209313 scopus 로고
    • Experience with forecasting univariate time series and combination of forecasts
    • Newbold P. and Granger C. W. J. 1974. Experience with forecasting univariate time series and combination of forecasts. - J. R. Stat. Soc. A 137 : 131 - 165.
    • (1974) J. R. Stat. Soc. A , vol.137 , pp. 131-165
    • Newbold, P.1    Granger, C.W.J.2
  • 34
    • 33645103546 scopus 로고    scopus 로고
    • Hidden process models for animal population dynamics
    • Newman K. B. et al. 2006. Hidden process models for animal population dynamics. - Ecol. Appl. 16 : 74 - 86.
    • (2006) Ecol. Appl. , vol.16 , pp. 74-86
    • Newman, K.B.1
  • 35
    • 84900459687 scopus 로고    scopus 로고
    • Pan-European Common Bird Monitoring Scheme. European common bird index: population trends of European common birds 2011 update. (E. B. C. Council, eds). - Prague.
    • Pan-European Common Bird Monitoring Scheme 2011. European common bird index: population trends of European common birds 2011 update. (E. B. C. Council, eds). - Prague.
    • (2011)
  • 36
    • 84875503881 scopus 로고    scopus 로고
    • Model-free forecasting outperforms the correct mechanistic model for simulated and experimental data
    • Perretti C. T. et al. 2013. Model-free forecasting outperforms the correct mechanistic model for simulated and experimental data. - Proc. Natl Acade. Sci. USA 110 : 5253 - 5257.
    • (2013) Proc. Natl Acade. Sci. USA , vol.110 , pp. 5253-5257
    • Perretti, C.T.1
  • 37
    • 20444497873 scopus 로고    scopus 로고
    • Using Bayesian model averaging to calibrate forecast ensembles
    • Raftery A. E. et al. 2005. Using Bayesian model averaging to calibrate forecast ensembles. - Mon. Weather Rev. 133 : 1155 - 1174.
    • (2005) Mon. Weather Rev. , vol.133 , pp. 1155-1174
    • Raftery, A.E.1
  • 38
    • 84858807998 scopus 로고    scopus 로고
    • Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database
    • Ricard D. et al. 2011. Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. - Fish Fish. 13 : 380 - 398.
    • (2011) Fish Fish. , vol.13 , pp. 380-398
    • Ricard, D.1
  • 39
    • 84900449556 scopus 로고    scopus 로고
    • The Breeding Bird Survey 2011. BTO Research Report 624. - Thetford.
    • Risely K. et al. 2012. The Breeding Bird Survey 2011. BTO Research Report 624. - Thetford.
    • (2012)
    • Risely, K.1
  • 40
    • 84856757921 scopus 로고    scopus 로고
    • Magnitude and trends in abundance of hatchery and wild pink salmon, chum salmon and sockeye salmon in the North Pacific Ocean
    • Ruggerone G. T. et al. 2010. Magnitude and trends in abundance of hatchery and wild pink salmon, chum salmon and sockeye salmon in the North Pacific Ocean. - Mar. Coast. Fish. 2 : 306 - 328.
    • (2010) Mar. Coast. Fish. , vol.2 , pp. 306-328
    • Ruggerone, G.T.1
  • 41
    • 84900443201 scopus 로고    scopus 로고
    • The North American Breeding Bird Survey, results and analysis 1966-2010, ver. 12.07.2011. (U. P. W. R. Center, eds). - Laurel, MD.
    • Sauer J. R. et al. 2011. The North American Breeding Bird Survey, results and analysis 1966-2010, ver. 12.07.2011. (U. P. W. R. Center, eds). - Laurel, MD.
    • (2011)
    • Sauer, J.R.1
  • 42
    • 0029669051 scopus 로고    scopus 로고
    • Modelling and forecasting annual fisheries catches: comparison of regression, univariate and multivariate time series methods
    • Stergiou K. I. and Christou E. D. 1996. Modelling and forecasting annual fisheries catches: comparison of regression, univariate and multivariate time series methods. - Fish. Res. 25 : 105 - 138.
    • (1996) Fish. Res. , vol.25 , pp. 105-138
    • Stergiou, K.I.1    Christou, E.D.2
  • 43
    • 0012675693 scopus 로고    scopus 로고
    • A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series
    • Engle R. F. and White H. (eds), Oxford Univ. Press
    • Stock J. H. and Watson M. W. 1999. A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series. - In: Engle R. F. and White H. (eds), Cointegration, causality and forecasting: a festschrift in honor of Clive W. J. Granger. Oxford Univ. Press.
    • (1999) Cointegration, causality and forecasting: a festschrift in honor of Clive W. J. Granger
    • Stock, J.H.1    Watson, M.W.2
  • 44
    • 0001375337 scopus 로고
    • Nonlinear forecasting for the classification of natural time-series
    • Sugihara G. 1994. Nonlinear forecasting for the classification of natural time-series. - Phil. Trans. R. Soc. A 348 : 477 - 495.
    • (1994) Phil. Trans. R. Soc. A , vol.348 , pp. 477-495
    • Sugihara, G.1
  • 45
    • 0025199496 scopus 로고
    • Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series
    • Sugihara G. and May R. M. 1990. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. - Nature 344 : 734 - 741.
    • (1990) Nature , vol.344 , pp. 734-741
    • Sugihara, G.1    May, R.M.2
  • 46
    • 0025527429 scopus 로고
    • Distinguishing error from chaos in ecological time series
    • Sugihara G. et al. 1990. Distinguishing error from chaos in ecological time series. - Phil. Trans. R. Soc. B 330 : 235 - 251.
    • (1990) Phil. Trans. R. Soc. B , vol.330 , pp. 235-251
    • Sugihara, G.1
  • 47
    • 42549171606 scopus 로고    scopus 로고
    • Complex positive connections between functional groups are revealed by neural network analysis of ecological time series
    • Thrush S. F. et al. 2008. Complex positive connections between functional groups are revealed by neural network analysis of ecological time series. - Am. Nat. 171 : 669 - 677.
    • (2008) Am. Nat. , vol.171 , pp. 669-677
    • Thrush, S.F.1
  • 48
    • 0034694775 scopus 로고    scopus 로고
    • Comparison of short-term rainfall prediction models for real-time flood forecasting
    • Toth E. et al. 2000. Comparison of short-term rainfall prediction models for real-time flood forecasting. - J. Hydrol. 239 : 132 - 147.
    • (2000) J. Hydrol. , vol.239 , pp. 132-147
    • Toth, E.1
  • 49
    • 77949302752 scopus 로고    scopus 로고
    • Inferring spatial structure from time-series data: using multivariate state-space models to detect metapopulation structure of California sea lions in the Gulf of California, Mexico
    • Ward E. J. et al. 2010. Inferring spatial structure from time-series data: using multivariate state-space models to detect metapopulation structure of California sea lions in the Gulf of California, Mexico. - J. Appl. Ecol. 47 : 47 - 56.
    • (2010) J. Appl. Ecol. , vol.47 , pp. 47-56
    • Ward, E.J.1


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