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Applied and Environmental Soil Science
Volume 2014 (2014), Article ID 603132, 10 pages
The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions
1Department of Geosciences/Soil Physics Division, University of Bayreuth, Universitaetsstraße 30, 95447 Bayreuth, Germany
2ETH Zürich, Environmental Natural and Social Sciences, Universitaetsstraße 22, 8092 Zürich, Switzerland
Received 15 July 2013; Revised 12 October 2013; Accepted 28 October 2013; Published 5 February 2014
Academic Editor: Robert L. Bradley
Copyright © 2014 Mareike Ließ et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- A. R. Townsend, P. M. Vitousek, and S. E. Trumbore, “Soil organic matter dynamics along gradients in temperature and land use on the island of Hawaii,” Ecology, vol. 76, no. 3, pp. 721–733, 1995.
- W. Wilcke, S. Yasin, A. Schmitt, C. Valarezo, and W. Zech, “Soils along the altitudinal transect and in catchments,” in Gradients in a Tropical Mountain Ecosystem of Ecuador, E. Beck, J. Bendix, I. Kottke, F. Makeschin, and R. Mosandl, Eds., Chapter 9, pp. 75–85, Springer, Berlin, Germany, 2008.
- W. I. J. Dieleman, M. Venter, A. Ramachandra, A. K. Krockenberger, and M. I. Bird, “Soil carbon stocks vary predictably with altitude in tropical forests: implications for soil carbon storage,” Geoderma, vol. 204-205, pp. 59–67, 2013.
- M. Liess, B. Glaser, and B. Huwe, “Digital soil mapping in southern Ecuador,” Erdkunde, vol. 63, no. 4, pp. 309–319, 2009.
- M. Ließ, B. Glaser, and B. Huwe, “Uncertainty in the spatial prediction of soil texture: comparison of regression tree and Random Forest models,” Geoderma, vol. 170, pp. 70–79, 2012.
- F. C. Bauer, Water flow paths of an undisturbed and landslide affected mature montane rainforest in south Ecuador [Ph.D. thesis], University of Bayreuth, Bayreuth, Germany, 2010, http://opus.ub.uni-bayreuth.de/volltexte/2011/761/.
- FAO and IUSS Working Group WRB, “World Reference Base for Soil Resources 2006, first update 2007,” World Soil Resources Reports 103, 2007.
- G. Milne, “Normal erosion as a factor in soil profile development,” Nature, vol. 138, no. 3491, pp. 548–549, 1936.
- D. A. Wysocki, P. J. Schoeneberger, and H. E. LaGarry, “Geomorphology of soil landscapes,” in Handbook of Soil Science, M. Sumner, Ed., pp. E1–E39, CRC Press, Boca Raton, Fla, USA, 2000.
- P. H. Walker, G. F. Hall, and R. Protz, “Relation between landform parameters and soil properties,” Soil Science Society of America Journal, vol. 32, pp. 101–104, 1968.
- J. A. Thompson, J. C. Bell, and C. A. Butler, “Quantitative soil-landscape modeling for estimating the areal extent of hydromorphic soils,” Soil Science Society of America Journal, vol. 61, no. 3, pp. 971–980, 1997.
- V. Chaplot, C. Walter, and P. Curmi, “Improving soil hydromorphy prediction according to DEM resolution and available pedological data,” Geoderma, vol. 97, no. 3-4, pp. 405–422, 2000.
- F. R. Troeh, “Landform parameters correlated to soil drainage,” Soil Science Society of America Journal, vol. 28, pp. 808–812, 1964.
- W. Peng, D. B. Wheeler, J. C. Bell, and M. G. Krusemark, “Delineating patterns of soil drainage class on bare soils using remote sensing analyses,” Geoderma, vol. 115, no. 3-4, pp. 261–279, 2003.
- I. D. Moore, P. E. Gessler, G. A. Nielsen, and G. A. Peterson, “Soil attribute prediction using terrain analysis,” Soil Science Society of America Journal, vol. 57, no. 2, pp. 443–452, 1993.
- S. J. Park, K. K. McSweeney, and B. B. Lowery, “Identification of the spatial distribution of soils using a process-based terrain characterization,” Geoderma, vol. 103, no. 3-4, pp. 249–272, 2001.
- T. F. A. Bishop and B. Minasny, “Digital soil-terrain modeling: the predictive potential and uncertainty,” in Environmental Soil-Landscape Modeling, S. Grunwald, Ed., pp. 185–213, CRC Press, Boca Raton, Fla, USA, 2006.
- R. Kohavi and G. H. John, “Wrappers for feature subset selection,” Artificial Intelligence, vol. 97, no. 1-2, pp. 273–324, 1997.
- M. B. Kursa and W. R. Rudnicki, “Feature selection with the boruta package,” Journal of Statistical Software, vol. 36, no. 11, pp. 1–13, 2010.
- C. Leuschner, G. Moser, C. Bertsch, M. Röderstein, and D. Hertel, “Large altitudinal increase in tree root/shoot ratio in tropical mountain forests of Ecuador,” Basic and Applied Ecology, vol. 8, no. 3, pp. 219–230, 2007.
- Ließ, M, B. Glaser, and B. Huwe, “Soil-landscape modelling—reference soil group probability prediction in southern Ecuador,” in Principles, Application and Assessment in Soil Science, E. B. Özkaraova Güngör, Ed., pp. 241–256, InTech Open Access, 2011.
- M. Schrumpf, G. Guggenberger, C. Valarezo, and W. Zech, “Tropical montane rain forest soils. Development and nutrient status along an altitudinal gradient in the South Ecuadorian Andes,” Erde, vol. 132, no. 1, pp. 43–59, 2001.
- R. Rollenbeck, “Variability of precipitation in the Reserva Biológica San Francisco/Southern Ecuador,” Lyonia, vol. 9, no. 1, pp. 43–51, 2006.
- O. Planchon and F. Darboux, “A fast, simple and versatile algorithm to fill the depressions of digital elevation models,” Catena, vol. 46, no. 2-3, pp. 159–176, 2002.
- L. W. Zevenbergen and C. R. Thorne, “Quantitative analysis of land surface topography,” Earth Surface Processes & Landforms, vol. 12, no. 1, pp. 47–56, 1987.
- R. Köthe and F. Lehmeier, SARA-System Zur Automatischen Relief-Analyse, User Manual, Deptartement of Geography, University of Goettingen, 2nd edition, 1996.
- S. J. Riley, S. D. De Gloria, and R. Elliot, “A terrain ruggedness that quantifies topographic -heterogeneity,” Intermountain Journal of Science, vol. 5, no. 1-4, pp. 23–27, 1999.
- N. L. Lea, “An aspect driven kinematic routing algorithm,” in Overland Flow Hydraulics and Erosion Mechanics, A. J. Parsons and A. D. Abrahams, Eds., pp. 393–3407, London, UK, 1992.
- J. Böhner, R. Köthe, O. Conrad, J. Gross, A. Ringeler, and T. Selige, “Soil regionalisation by means of terrain analysis and process parameterisation,” in Soil Classification 2001, E. Micheli, F. Nachtergaele, and L. Montanarella, Eds., Research Report No. 7, EUR, 20398 EN, pp. 213–222, European Bureau, Luxembourg, 2002.
- J. Böhner and O. Antonic, “Land surface parameters specific to topo-climatology,” in Geomorphometry—Concepts, Software, Applications, T. Hengl and H. I. Reuter, Eds., pp. 195–226, Elsevier, Amsterdam, The Netherlands, 2009.
- T. R. Oke, Boundary Layer Climates, Taylor & Francis, London, UK, 1988.
- J. P. Wilson and J. C. Gallant, Eds., Terrain Analysis—Principles and Applications, John Wiley & Sons, New York, NY, USA, 2000.
- V. Olaya, “A gentle introduction to SAGA GIS. Edition 1. 1,” 2004, http://sourceforge.net/projects/saga-gis/files/.
- J. Böhner, K. R. McCloy, and J. Strobl, SAGA—Analysis and Modelling Application. Göttinger Geographische Abhandlungen, vol. 115, Geographisches Institut der Universität Göttingen, 2006.
- V. Cimmery, “User guide for SAGA (version 2. 0),” 2007, http://sourceforge.net/projects/saga-gis/files.
- A. Fries, R. Rollenbeck, D. Göttlicher et al., “Thermal structure of a megadiverse Andean mountain ecosystem in southern Ecuador and its regionalization,” Erdkunde, vol. 63, no. 4, pp. 321–336, 2009.
- J. Homeier, H. Dalitz, and S. W. Breckle, “Waldstruktur und Baumarten im montanen Regenwald der Estación Científica San Franscisco in Südecuador,” Berichte der Reinhold-Tüxen-Gesellschaft, vol. 14, pp. 109–118, 2002.
- M. Oesker, H. Dalitz, S. Günter, and S. Matezki, “Spatial heterogeneity patterns—a comparison between gorges and ridges in the upper part of an evergreen lower montane forest,” in Gradients in a Tropical Mountain Ecosystem of Ecuador, E. Beck, J. Bendix, I. Kottke, F. Makeschin, and R. Mosandl, Eds., Chapter 18, pp. 267–274, Springer, Berlin, Germany, 2008.
- T. Behrens, A.-X. Zhu, K. Schmidt, and T. Scholten, “Multi-scale digital terrain analysis and feature selection for digital soil mapping,” Geoderma, vol. 155, no. 3-4, pp. 175–185, 2010.
- M. Ließ, Soil-landscape modelling in an Andean mountain forest region in southern Ecuador [Ph.D. thesis], University of Bayreuth, Bayreuth, Germany, 2011.
- P. Lagacherie and S. Holmes, “Addressing geographical data errors in a classification tree for soil unit prediction,” International Journal of Geographical Information Science, vol. 11, no. 2, pp. 183–198, 1997.
- A. B. McBratney, I. O. A. Odeh, T. F. A. Bishop, M. S. Dunbar, and T. M. Shatar, “An overview of pedometric techniques for use in soil survey,” Geoderma, vol. 97, no. 3-4, pp. 293–327, 2000.
- C. J. Moran and E. N. Bui, “Spatial data mining for enhanced soil map modelling,” International Journal of Geographical Information Science, vol. 16, no. 6, pp. 533–549, 2002.
- C. Strobl, T. Hothorn, and A. Zeileis, “Party on! A new conditional variable importance measure for Random Forests available in the party package. Technical Report Number 050, Department of Statistics, University of Munich,” 2009, http://www.stat.uni-muenchen.de.
- L. Breiman, J. H. Friedmann, R. A. Olshen, and C. J. Stone, Classification and Regression Trees, CRC Press, Wadsworth, Ohio, USA, 1984.
- L. Breiman, “Technical Report for Version 3,” 2001, http://oz.berkeley.edu/users/breiman/randomforest2001.pdf.
- W. Rudnicki and B. Kursa, “Boruta—a tool for finding significant attributes in information systems. CRAN Reference Manual,” 2012, http://cran.r-project.org/web/packages/Boruta/Boruta.pdf.
- M. Ließ, B. Glaser, and B. Huwe, “Making use of the World Reference Base diagnostic horizons for the systematic description of the soil continuum—application to the tropical mountain soil-landscape of southern Ecuador,” Catena, vol. 97, pp. 20–30, 2012.
- E. A. Schuur and P. A. Matson, “Net primary productivity and nutrient cycling across a mesic to wet precipitation gradient in Hawaiian montane forest,” Oecologia, vol. 128, no. 3, pp. 431–442, 2001.
- L. Roman, F. N. Scatena, and L. A. Bruijnzeel, “Global and local variations in tropical montane cloud forest soils,” in Tropical Montane Cloud Forests: Science for Conservation and Management, L. A. Bruijnzeel, F. N. Scatena, and L. S. Hamilton, Eds., pp. 200–226, Cambridge University Press, 2010.
- P. Campling, A. Gobin, and J. Feyen, “Logistic modeling to spatially predict the probability of soil drainage classes,” Soil Science Society of America Journal, vol. 66, no. 4, pp. 1390–1401, 2002.
- M. Ließ, B. Glaser, and B. Huwe, “Functional soil-landscape modelling to estimate slope stability in a steep Andean mountain forest region,” Geomorphology, vol. 132, no. 3-4, pp. 287–299, 2011.
- S. J. Park and P. L. G. Vlek, “Environmental correlation of three-dimensional soil spatial variability: a comparison of three adaptive techniques,” Geoderma, vol. 109, no. 1-2, pp. 117–140, 2002.
- H. Joosten and J. Clarke, “Wise use of mires and peatlands—Background and principles—Including a framework for decision making. International Mire Conservation Group and International Peat Society,” 2002, http://www.gret-perg.ulaval.ca.
- Bayerisches Landesamt für Umweltschutz, Moorentwicklungskonzept Bayern (MEK)—Moortypen in Bayern, Projektgruppe Landschaftsentwicklung + Artenschutz, Kessler Verlagsdruckerei, Bobingen, Germany, 2005.
- R. A. Chimner and J. M. Karlberg, “Long-term carbon accumulation in two tropical mountain peatlands, Andes Mountains, Ecuador. Mires and Peat, 3/ article 4, 1–10,” 2008, http://www.mires-and-peat.net.
- J. Benner, P. M. Vitousek, and R. Ostertag, “Nutrient cycling and nutrient limitation in tropical montane cloud forests,” in Tropical Montane Cloud Forests, L. A. Bruijnzeel, F. N. Scatena, and L. S. Hamilton, Eds., International Hydrology Series, pp. 90–100, Cambridge University Press, Cambridge, UK, 2010.