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Volumn 216, Issue 5, 2015, Pages 669-682

Model-based thinking for community ecology

Author keywords

Community level modelling; Fourth corner problem; Model checking; Multivariate analysis; Ordination; Species distribution models

Indexed keywords


EID: 84937765931     PISSN: 13850237     EISSN: 15735052     Source Type: Journal    
DOI: 10.1007/s11258-014-0366-3     Document Type: Article
Times cited : (120)

References (50)
  • 1
    • 0002154022 scopus 로고    scopus 로고
    • A new method for non-parametric multivariate analysis of variance
    • Anderson MJ (2001) A new method for non-parametric multivariate analysis of variance. Austral Ecol 26:32–46
    • (2001) Austral Ecol , vol.26 , pp. 32-46
    • Anderson, M.J.1
  • 4
    • 84895773281 scopus 로고    scopus 로고
    • The fourth-corner solution using predictive models to understand how species traits interact with the environment
    • Brown AM, Warton DI, Andrew NR, Binns M, Cassis G, Gibb H (2014) The fourth-corner solution using predictive models to understand how species traits interact with the environment. Methods Ecol Evol 5(4):344–352
    • (2014) Methods Ecol Evol , vol.5 , Issue.4 , pp. 344-352
    • Brown, A.M.1    Warton, D.I.2    Andrew, N.R.3    Binns, M.4    Cassis, G.5    Gibb, H.6
  • 6
    • 84868100576 scopus 로고    scopus 로고
    • Ordinal–regression models for ordinal data
    • Christensen RHB (2013) Ordinal–regression models for ordinal data. R package version 2013.9-30. http://www.cran.r-project.org/package=ordinal/
    • (2013) R package version , vol.2013 , pp. 9-30
    • Christensen, R.H.B.1
  • 8
    • 65349116559 scopus 로고    scopus 로고
    • Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
    • PID: 19425
    • Cressie N, Calder CA, Clark JS, Hoef JMV, Wikle CK (2009) Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecol Appl 19:553–570
    • (2009) Ecol Appl , vol.19 , pp. 553-570
    • Cressie, N.1    Calder, C.A.2    Clark, J.S.3    Hoef, J.M.V.4    Wikle, C.K.5
  • 10
    • 0030305453 scopus 로고    scopus 로고
    • Randomized quantile residuals
    • Dunn P, Smyth G (1996) Randomized quantile residuals. J Comput Graph Stat 5:236–244
    • (1996) J Comput Graph Stat , vol.5 , pp. 236-244
    • Dunn, P.1    Smyth, G.2
  • 11
    • 78651421794 scopus 로고    scopus 로고
    • Model based grouping of species across environmental gradients
    • Dunstan PK, Foster SD, Darnell R (2011) Model based grouping of species across environmental gradients. Ecol Model 222:955–963
    • (2011) Ecol Model , vol.222 , pp. 955-963
    • Dunstan, P.K.1    Foster, S.D.2    Darnell, R.3
  • 12
    • 84884673047 scopus 로고    scopus 로고
    • Finite mixture of regression modelling for high-dimensional count and biomass data in ecology
    • Dunstan PK, Foster SD, Hui FK, Warton DI (2013) Finite mixture of regression modelling for high-dimensional count and biomass data in ecology. J Agric Biol Environ Stat 18:357–375
    • (2013) J Agric Biol Environ Stat , vol.18 , pp. 357-375
    • Dunstan, P.K.1    Foster, S.D.2    Hui, F.K.3    Warton, D.I.4
  • 13
    • 34247359908 scopus 로고    scopus 로고
    • Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines
    • Elith J, Leathwick J (2007) Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines. Divers Distrib 13:265–275
    • (2007) Divers Distrib , vol.13 , pp. 265-275
    • Elith, J.1    Leathwick, J.2
  • 14
    • 73949141293 scopus 로고    scopus 로고
    • Species distribution models: ecological explanation and prediction across space and time
    • Elith J, Leathwick J (2009) Species distribution models: ecological explanation and prediction across space and time. Ann Rev Ecol Evol Syst 40:677–697
    • (2009) Ann Rev Ecol Evol Syst , vol.40 , pp. 677-697
    • Elith, J.1    Leathwick, J.2
  • 15
    • 34249802090 scopus 로고    scopus 로고
    • A neutral sampling formula for multiple samples and an ‘exact’ test of neutrality
    • PID: 17542
    • Etienne RS (2007) A neutral sampling formula for multiple samples and an ‘exact’ test of neutrality. Ecol Lett 10:608–618
    • (2007) Ecol Lett , vol.10 , pp. 608-618
    • Etienne, R.S.1
  • 16
    • 33646556408 scopus 로고    scopus 로고
    • Spatial modelling of biodiversity at the community level
    • Ferrier S, Guisan A (2006) Spatial modelling of biodiversity at the community level. J Appl Ecol 43:393–404
    • (2006) J Appl Ecol , vol.43 , pp. 393-404
    • Ferrier, S.1    Guisan, A.2
  • 17
    • 80051648537 scopus 로고    scopus 로고
    • Graphical diagnostics for markov models for categorical data
    • Foster S, Bravington M (2011) Graphical diagnostics for markov models for categorical data. J Comput Graph Stat 20:355–374
    • (2011) J Comput Graph Stat , vol.20 , pp. 355-374
    • Foster, S.1    Bravington, M.2
  • 18
    • 84888074448 scopus 로고    scopus 로고
    • Modelling biological regions from multi-species and environmental data
    • Foster S, Givens G, Dornan G, Dunstan P, Darnell R (2013) Modelling biological regions from multi-species and environmental data. Environmetrics 24:489–499
    • (2013) Environmetrics , vol.24 , pp. 489-499
    • Foster, S.1    Givens, G.2    Dornan, G.3    Dunstan, P.4    Darnell, R.5
  • 19
    • 0006083098 scopus 로고
    • Ordination of vegetation samples by Gaussian species distributions
    • Gauch H, Chase GB, Whittaker RH (1974) Ordination of vegetation samples by Gaussian species distributions. Ecology 55:1382–1390
    • (1974) Ecology , vol.55 , pp. 1382-1390
    • Gauch, H.1    Chase, G.B.2    Whittaker, R.H.3
  • 20
    • 12844260203 scopus 로고    scopus 로고
    • Modelling species diversity through species level hierarchical modelling
    • Gelfand AE, Schmidt AM, Wu S, Latimer A (2005) Modelling species diversity through species level hierarchical modelling. J R Stat Soc 54:1–20
    • (2005) J R Stat Soc , vol.54 , pp. 1-20
    • Gelfand, A.E.1    Schmidt, A.M.2    Wu, S.3    Latimer, A.4
  • 22
    • 0020461123 scopus 로고
    • Non-linear ordination in several dimensions
    • Goodall D, Johnson R (1982) Non-linear ordination in several dimensions. Vegetatio 48:197–208
    • (1982) Vegetatio , vol.48 , pp. 197-208
    • Goodall, D.1    Johnson, R.2
  • 23
    • 84884828943 scopus 로고    scopus 로고
    • To mix or not to mix: comparing the predictive performance of mixture models versus separate species distribution models
    • PID: 24279
    • Hui FK, Warton DI, Foster S, Dunstan P (2013) To mix or not to mix: comparing the predictive performance of mixture models versus separate species distribution models. Ecology 94:1913–1919
    • (2013) Ecology , vol.94 , pp. 1913-1919
    • Hui, F.K.1    Warton, D.I.2    Foster, S.3    Dunstan, P.4
  • 24
    • 80051532520 scopus 로고    scopus 로고
    • Generalized linear mixed models for phylogenetic analyses of community structure
    • Ives AR, Helmus MR (2011) Generalized linear mixed models for phylogenetic analyses of community structure. Ecol Monogr 81:511–525
    • (2011) Ecol Monogr , vol.81 , pp. 511-525
    • Ives, A.R.1    Helmus, M.R.2
  • 25
    • 84885128818 scopus 로고    scopus 로고
    • Selecting traits that explain species–environment relationships: a generalized linear mixed model approach
    • Jamil T, Ozinga WA, Kleyer M, ter Braak CJF (2013) Selecting traits that explain species–environment relationships: a generalized linear mixed model approach. J Veg Sci 24:988–1000
    • (2013) J Veg Sci , vol.24 , pp. 988-1000
    • Jamil, T.1    Ozinga, W.A.2    Kleyer, M.3    ter Braak, C.J.F.4
  • 32
    • 79955547724 scopus 로고    scopus 로고
    • Making more out of sparse data: hierarchical modeling of species communities
    • PID: 21618
    • Ovaskainen O, Soininen J (2011) Making more out of sparse data: hierarchical modeling of species communities. Ecology 92:289–295
    • (2011) Ecology , vol.92 , pp. 289-295
    • Ovaskainen, O.1    Soininen, J.2
  • 33
    • 84889103165 scopus 로고    scopus 로고
    • Multivariate methods using mixtures: correspondence analysis, scaling and pattern-detection
    • Pledger S, Arnold R (2014) Multivariate methods using mixtures: correspondence analysis, scaling and pattern-detection. Comput Stat Data Anal 71:241–261
    • (2014) Comput Stat Data Anal , vol.71 , pp. 241-261
    • Pledger, S.1    Arnold, R.2
  • 34
    • 84863227837 scopus 로고    scopus 로고
    • The role of functional traits in species distributions revealed through a hierarchical model
    • Pollock LJ, Morris WK, Vesk PA (2012) The role of functional traits in species distributions revealed through a hierarchical model. Ecography 35:716–725
    • (2012) Ecography , vol.35 , pp. 716-725
    • Pollock, L.J.1    Morris, W.K.2    Vesk, P.A.3
  • 35
    • 23244434196 scopus 로고    scopus 로고
    • Diagnostics for assumptions in moderate to large simple clinical trials: do they really help?
    • PID: 15977
    • Shuster JJ (2005) Diagnostics for assumptions in moderate to large simple clinical trials: do they really help? Stat Med 24:2431–2438
    • (2005) Stat Med , vol.24 , pp. 2431-2438
    • Shuster, J.J.1
  • 36
    • 33745500987 scopus 로고    scopus 로고
    • Species-richness patterns in space, depth, and time (1989–1999) of the Portuguese fauna sampled by bottom trawl
    • Sousa P, Azevedo M, Gomes M (2006) Species-richness patterns in space, depth, and time (1989–1999) of the Portuguese fauna sampled by bottom trawl. Aquat Living Resour 19:93–103
    • (2006) Aquat Living Resour , vol.19 , pp. 93-103
    • Sousa, P.1    Azevedo, M.2    Gomes, M.3
  • 37
    • 84901048274 scopus 로고    scopus 로고
    • Applied statistics in ecology: common pitfalls and simple solutions
    • Steel E, Kennedy M, Cunningham P, Stanovick J (2013) Applied statistics in ecology: common pitfalls and simple solutions. Ecospere 4:115
    • (2013) Ecospere , vol.4 , pp. 115
    • Steel, E.1    Kennedy, M.2    Cunningham, P.3    Stanovick, J.4
  • 38
    • 0037442814 scopus 로고    scopus 로고
    • Bayesian model-based cluster analysis for predicting macrofaunal communities
    • ter Braak CJ, Hoijtink H, Akkermans W, Verdonschot PF (2003) Bayesian model-based cluster analysis for predicting macrofaunal communities. Ecol Model 160:235–248
    • (2003) Ecol Model , vol.160 , pp. 235-248
    • ter Braak, C.J.1    Hoijtink, H.2    Akkermans, W.3    Verdonschot, P.F.4
  • 39
    • 0022843649 scopus 로고
    • Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis
    • ter Braak CJF (1986) Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67:1167–1179
    • (1986) Ecology , vol.67 , pp. 1167-1179
    • ter Braak, C.J.F.1
  • 41
    • 84867392377 scopus 로고    scopus 로고
    • mvabund: an R package for model-based analysis of multivariate abundance data
    • Wang Y, Naumann U, Wright ST, Warton DI (2012) mvabund: an R package for model-based analysis of multivariate abundance data. Methods Ecol Evol 3:471–474
    • (2012) Methods Ecol Evol , vol.3 , pp. 471-474
    • Wang, Y.1    Naumann, U.2    Wright, S.T.3    Warton, D.I.4
  • 42
    • 42149150516 scopus 로고    scopus 로고
    • Raw data graphing: an informative but under-utilized tool for the analysis of multivariate abundances
    • Warton DI (2008) Raw data graphing: an informative but under-utilized tool for the analysis of multivariate abundances. Austral Ecol 33:290–300
    • (2008) Austral Ecol , vol.33 , pp. 290-300
    • Warton, D.I.1
  • 43
    • 79952588081 scopus 로고    scopus 로고
    • Regularized sandwich estimators for analysis of high dimensional data using generalized estimating equations
    • PID: 20528
    • Warton DI (2011) Regularized sandwich estimators for analysis of high dimensional data using generalized estimating equations. Biometrics 67:116–123
    • (2011) Biometrics , vol.67 , pp. 116-123
    • Warton, D.I.1
  • 44
    • 1642465406 scopus 로고    scopus 로고
    • A MANOVA statistic is just as powerful as distance-based statistics, for multivariate abundances
    • Warton DI, Hudson HM (2004) A MANOVA statistic is just as powerful as distance-based statistics, for multivariate abundances. Ecology 85:858–874
    • (2004) Ecology , vol.85 , pp. 858-874
    • Warton, D.I.1    Hudson, H.M.2
  • 45
    • 79955546353 scopus 로고    scopus 로고
    • The arcsine is asinine: the analysis of proportions in ecology
    • PID: 21560
    • Warton DI, Hui FKC (2011) The arcsine is asinine: the analysis of proportions in ecology. Ecology 92:3–10
    • (2011) Ecology , vol.92 , pp. 3-10
    • Warton, D.I.1    Hui, F.K.C.2
  • 46
    • 84939977137 scopus 로고    scopus 로고
    • Warton DI, Wang YA (in review) The PIT-trap: a general bootstrap procedure for inference about regression models with non-normal respo
    • Warton DI, Wang YA (in review) The PIT-trap: a general bootstrap procedure for inference about regression models with non-normal response
  • 47
    • 84867389652 scopus 로고    scopus 로고
    • Distance-based multivariate analyses confound location and dispersion effects
    • Warton DI, Wright ST, Wang Y (2012) Distance-based multivariate analyses confound location and dispersion effects. Methods Ecol Evol 3:89–101
    • (2012) Methods Ecol Evol , vol.3 , pp. 89-101
    • Warton, D.I.1    Wright, S.T.2    Wang, Y.3
  • 48
    • 84867394789 scopus 로고    scopus 로고
    • Assessing transferability of ecological models: an underappreciated aspect of statistical validation
    • Wenger SJ, Olden JD (2012) Assessing transferability of ecological models: an underappreciated aspect of statistical validation. Methods Ecol Evol 3:260–267. doi:10.1111/j.2041-210X.2011.00170.x
    • (2012) Methods Ecol Evol , vol.3 , pp. 260-267
    • Wenger, S.J.1    Olden, J.D.2
  • 49
    • 77949335209 scopus 로고    scopus 로고
    • The VGAM package for categorical data analysis
    • Yee TW (2010) The VGAM package for categorical data analysis. J Stat Softw 32:1–34
    • (2010) J Stat Softw , vol.32 , pp. 1-34
    • Yee, T.W.1
  • 50
    • 77957104527 scopus 로고    scopus 로고
    • A protocol for data exploration to avoid common statistical problems
    • Zuur AF, Ieno EN, Elphick CS (2010) A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol 1:3–14
    • (2010) Methods Ecol Evol , vol.1 , pp. 3-14
    • Zuur, A.F.1    Ieno, E.N.2    Elphick, C.S.3


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