Uncertainty propagation in vegetation distribution models based on ensemble classifiers

Ecological Modelling

Volumn 220, Issue 6, 2009, Pages 791-804

  Peters, Jan ^a   Verhoest, Niko E C ^a   Samson, Roeland ^b   Van Meirvenne, Marc ^a   Cockx, Liesbet ^a   De Baets, Bernard ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Classification; Clustering; Distribution model; Ensemble learning; Random Forests; Spatial interpolation; Uncertainty; Vegetation type; Wetland

Indexed keywords

EDUCATION; FORECASTING; INTERPOLATION; LEARNING ALGORITHMS; WETLANDS;

CLASSIFICATION; CLUSTERING; DISTRIBUTION MODEL; ENSEMBLE LEARNING; RANDOM FORESTS; SPATIAL INTERPOLATION; UNCERTAINTY; VEGETATION TYPE;

VEGETATION;

CLASSIFICATION; FOREST ECOSYSTEM; GAUSSIAN METHOD; INTERPOLATION; VEGETATION; WETLAND;

EID: 60649106133     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.12.022     Document Type: Article

References (73)

1. Alfaro, M., 1979. Étude de la robustesse des simulations de fonctions aléatoires. Doctoral Thesis. E.N.S. des Mines de Paris.
2. Araújo M.B., and New M. Ensemble forecasting of species distributions. Trends in Ecology and Evolution 22 1 (2007) 42-47
3. Barry S., and Elith J. Error and uncertainty in habitat models. Journal of Applied Ecology 43 (2006) 413-423
4. Benito Garzón M., Blazek R., Neteler M., Sánchez de Dios R., Sainz Ollero H., and Furlanello C. Predicting habitat suitability with machine learning models: the potential area of Pinus silvestris L. in the Iberian Peninsula. Ecological Modelling 197 3-4 (2006) 383-393
5. Borcard D., and Legendre P. All-scale analysis of ecological data by means of principal coordinates of neighbour matrices. Ecological Modelling 153 1-2 (2002) 51-68
6. Borcard D., Legendre P., Avois-Jacquet C., and Tuomisto H. Dissecting the spatial structure of ecological data at multiple scales. Ecology 85 7 (2004) 1826-1832
7. Borcard D., Legendre P., and Drapeau P. Partialling out the spatial component of ecological variation. Ecology 73 3 (1992) 1045-1055
8. Bourennane H., King D., Couturier A., Nicoullaud B., Mary B., and Richard G. Uncertainty assessment of soil water content spatial patterns using geostatistical simulations: an empirical comparison of simulation accounting for single attribute and a simulation accounting for secondary information. Ecological Modelling 205 3-4 (2007) 323-335
9. Breiman L. Random forests. Machine Learning 45 (2001) 5-32
10. Breiman L., Friedman J.H., Olshen R.A., and Stone C.J. Classification and Regression Trees (1984), Chapman and Hall, New York
11. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20 (1960) 37-46
12. Cutler D.R., Edwards T.C., Beard K.H., Cutler A., Hess K.T., Gibson J., and Lawler Jr. J.J. Random forests for classification in ecology. Ecology 88 11 (2007) 2783-2792
13. De Becker P., Hermy M., and Butaye J. Ecohydrological characterization of a groundwater-fed alluvial floodplane mire. Applied Vegetation Science 2 (1999) 215-228
14. De Becker, P., Huybrechts, W., 2000. De Doode Bemde-Ecohydrologische Atlas. Institute of Nature Conservation, Brussels, Belgium (in Dutch).
15. De Jongh I.L.M., Verhoest N.E.C., and De Troch F.P. Analysis of a 105-year time series of precipitation observed at Uccle, Belgium. International Journal of Climatology 26 (2006) 2023-2039
16. Deutsch C., and Journel A. GSLIB: Geostatistical Software Library and User's Guide. Applied Geostatistics Series. 2nd ed (1998), Oxford University Press, Oxford, UK
17. Dias E., Elias R.B., and Nunes V. Vegetation mapping and nature conservation: a case study in Terceira Island (Azores). Biodiversity and Conservation 13 8 (2004) 1519-1539
18. Dray S., Legendre P., and Peres-Neto P.R. Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Ecological Modelling 196 3-4 (2006) 483-493
19. Fagroud M., and Van Meirvenne M. Accounting for soil autocorrelation in the design of experimental trials. Soil Science Society of America Journal 66 (2002) 1134-1142
20. Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters 27 (2006) 861-874
21. Ferrier S. Mapping spatial pattern in biodiversity for regional conservation planning: where to from here?. Systematic Biology 51 (2002) 331-363
22. Foody G.M. Applications of self organizing feature map neural network in community data analysis. Ecological Modelling 120 2-3 (1999) 97-107
23. Gauch H.G., and Whittaker R.H. Hierarchical classification of community data. Journal of Ecology 69 (1981) 537-557
24. Goovaerts P. Geostatistics for Natural Resources Evaluation (1997), Oxford University Press
25. Goovaerts P. Geostatistical modeling of uncertainty in soil science. Geoderma 103 (2001) 3-26
26. Guisan A., and Zimmerman N.E. Predictive habitat distribution models in ecology. Ecological Modelling 135 2-3 (2000) 147-186
27. Guo Q.H., Kelly M., and Graham C.H. Support vector machinespredicting distribution of sudden Oak death in Calefornia. Ecological Modelling 182 1 (2005) 75-90
28. Hansen L., and Salamon P. Neural network ensembles. IEEE Transaction on Pattern Analysis and Machine Intelligence 12 (1990) 993-1001
29. Hastie T., and Tibshirani R. Generalized Additive Models (1990), Chapman and Hall, London
30. Hill M.O. TWINSPAN-A FORTRAN Program for Arranging Multivariate Data in an Ordered Two-way Table by Classification of the Individuals and Attributes (1979), Cornell University, Ithaca
31. Hosmer D.W., and Lemeshow S. Applied Logistic Regression. 2nd ed (2000), Wiley, New York
32. Huybrechts, W., Batelaan, O., De Becker, P., Joris, I., Van Rossum, P., 2000. Ecohydrologisch onderzoek waterrijke vallei-ecosystemen (VLINA 96/03). Instituut voor Natuurbehoud, Brussels (in Dutch).
33. Huybrechts, W., De Bie, E., De Becker, P., Wassen, M., Bio, A., 2002. Ontwikkeling van een hydro-ecologisch model voor vallei-ecosystemen in Vlaanderen, ITORS-VL (VLINA 00/16). Instituut voor Natuurbehoud, Brussels (in Dutch).
34. Imam R.L., and Conover W.J. Small sample sensitivity analysis techniques for computer models, with an application to risk assessment. Communications in Statistics Theory and Methods A9 (1980) 1749-1874
35. Jaccard P. Distribution de la flore alpine dans le bassin des Dranses et dans quelques régions voisines. Bulletin del la Société Vaudoise des Sciences Naturelles 37 (1901) 241-272
36. Jaccard P. The distribution of the flora of the alpine zone. New Phytologist 11 (1912) 37-50
37. In: Jongman R.H.G., ter Braak C.J.F., and Tongeren O.F.R.V. (Eds). Data Analysis in Community and Landscape Ecology. 2nd ed (1995), Cambridge University Press, Cambridge
38. Kleinod K., Wissen M., and Bock M. Detecting vegetation changes in a wetland area in Northern Germany using earth observation and geodata. Journal of Nature Conservation 13 (2005) 115-125
39. Landolt E. Vegetation mapping and nature conservation in Switzerland. Plant Ecology 110 1 (1994) 19-23
40. Larssen T., Høgåsen T., and Cosby B.J. Impact of time series data on calibration and prediction uncertainty for a deterministic hydrogeochemical model. Ecological Modelling 207 1 (2007) 22-33
41. Lawler J.J., White D., Neilson R.P., and Blaustein A.R. Predicting climate-induced range shifts: model differences and model reliability. Global Change Biology 12 (2006) 1568-1584
42. Legendre P. Spatial autocorrelation: trouble or new paradigm?. Ecology 74 6 (1993) 1659-1673
43. Liaw A., and Wiener M. Classification and regression by random forest. R News 2/3 (2002) 18-22
44. Londo, G., 1988. Nederlandse Freatophyten. Pudoc, Wageningen (in Dutch).
45. McCullagh P., and Nelder J.A. Generalized Linear Models. 2nd ed (1999), Chapman and Hall, Boca Raton
46. McKay M.D., Beckman R.J., and Conover W.J. A comparison of three methods for selecting values of input variables n the analysis of output from a computer code. Technometrics 21 (1979) 239-245
47. Miller J., Franklin J., and Aspinall R. Incorporating spatial dependence in predictive vegetation models. Ecological Modelling 202 3-4 (2007) 225-242
48. Minasny B., and McBradney A.B. A conditioned Latin hypercube method for sampling in the presence of ancillary information. Computers & Geosciences 32 (2006) 1378-1388
49. Oksanen J., and Minchin P.R. Instability of ordination results under changes in input data order: explanations and remedies. Journal of Vegetation Science 8 3 (1997) 447-454
50. Özemsi S.L., Tan C.O., and Özemsi U. Methodological issues in building, training, and testing artificial neural networks in ecological applications. Ecological Modelling 195 1-2 (2006) 83-93
51. Peters J., De Baets B., Verhoest N.E.C., Samson R., Degroeve S., De Becker P., and Huybrechts W. Random forests as a tool for ecohydrological distribution modelling. Ecological Modelling 207 2-4 (2007) 304-318
52. Peters J., Verhoest N.E.C., Samson R., Boeckx P., and De Baets B. Wetland vegetation distribution modelling for the identification of constraining environmental variables. Landscape Ecology 23 9 (2008) 1049-1065
53. Peters J., De Baets B., Samson R., and Verhoest N.E.C. Modelling groundwater-dependent vegetation patterns using ensemble learning. Hydrology and Earth System Sciences 12 (2008) 603-613
54. Phillips D.L., and Marks D.G. Spatial uncertainty analysis: propagation of interpolation errors in spatially distributed models. Ecological Modelling 91 1-3 (1996) 213-229
55. Prasad A.M., Iverson L.R., and Liaw A. Newer classification and regression tree techniques: bagging and random forests for ecological prediction. Ecosystems 9 (2006) 181-199
56. Provost, F., Domingos, P., 2001. Well-trained PETs: Improving probability estimation trees. CeDER Working Paper #IS-00-04, Stern School of Business, New York University, NY.
57. Rao C.R. The use and interpretation of principal component analysis in applied research. Sankhya A 26 (1964) 329-358
58. Ray N., and Burgman M.A. Subjective uncertainties in habitat suitability maps. Ecological Modelling 195 3-4 (2006) 172-186
59. Ricotta C., and Anand N. Spatial complexity of ecological communities: bridging the gap between probabilistic and non-probabilistic uncertainty measures. Ecological Modelling 197 1-2 (2006) 59-66
60. Shannon C.E. A mathematical theory of communication. Bell System Technical Journal 27 (1948) 379-423 623-656
61. Ter Braak C.J.F. Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67 5 (1986) 1167-1179
62. Ter Braak C.J.F., Hoijtink H., Akkermans W., and Verdonschot P.F.M. Bayesian model-based cluster analysis for predicting macrofaunal communities. Ecological Modelling 160 3 (2003) 235-248
63. Vangroenewoud H. The robustness of correspondence, detrended correspondence, and TWINSPAN analysis. Journal of Vegetation Science 3 2 (1992) 239-246
64. Van Broekhoven E., Adriaenssens V., De Baets B., and Verdonschot P.F.M. Fuzzy rule-based macroinvertebrate habitat suitability models for running waters. Ecological Modelling 198 1-2 (2006) 71-84
65. van den Wollenberg A.L. Redundancy analysis. An alternative for canonical correlation analysis. Psychometrika 42 (1977) 207-219
66. Van Herpe Y., and Troch P.A. Spatial and temporal variations in surface water nitrate concentrations in a mixed land use catchment under humid temperate climati conditions. Hydrological Processes 14 (2000) 2439-2455
67. van Horssen P.W., Pebesma E.J., and Schot P.P. Uncertainties in spatially aggregated predictions from a logistic regression model. Ecological Modelling 154 1-2 (2002) 93-101
68. Van Meirvenne M., and Goovaerts P. Evaluating the probability of exceeding a site-specific soil cadmium contamination threshold. Geoderma 102 (2001) 75-100
69. Van Niel K.P., and Austin M.P. Predictive vegetation modelling for conservation: impact of error propagation from digital elevation data. Ecological Applications 17 1 (2007) 266-280
70. Verhoest N.E.C., Troch P.A., and De Troch F.A. On the applicability of Barlett-Lewis rectangular pulses models in the modeling of design storms at a point. Journal of Hydrology 202 (1997) 108-120
71. Westra T., and De Wulf R.R. Monitoring Sahelian floodplains using Fourier analysis of MODIS time-series data and artificial neural networks. International Journal of Remote Sensing 28 7-8 (2007) 1595-1610
72. Wood B. Room for nature? Conservation management of the Isle of Rum, UK and prospects for large protected areas in Europe. Biological Conservation 94 1 (2000) 93-105
73. Yee T.W., and Mitchell N.D. Generalized additive models in plant ecology. Journal of Vegetation Science 2 (1991) 587-602