Integrating geostatistics and GIS for assessment of erosion risk on low density Quercus suber woodlands of south Portugal

Arid Land Research and Management

Volumn 22, Issue 2, 2008, Pages 159-177

  Panagopoulos, Thomas ^a   Antunes, Maria Dulce Carlos ^a  

^a UNIVERSITY OF ALGARVE   (Portugal)

Author keywords

Decision support system; Revised Universal Soil Loss Equation (RUSLE); Soil conservation; Spatial variability; Sustainable management

Indexed keywords

CONIFEROUS FOREST; CULTIVATION; DATA SET; DECISION SUPPORT SYSTEM; ECOLOGICAL MODELING; FODDER; GEOSTATISTICS; GIS; GRAPHICAL METHOD; HYDRAULIC CONDUCTIVITY; KRIGING; REVISED UNIVERSAL SOIL LOSS EQUATION; SOIL CONSERVATION; SOIL EROSION; SOIL ORGANIC MATTER; SPATIAL ANALYSIS; SPATIAL VARIATION; SUSTAINABILITY; VARIOGRAM; WOODLAND;

ALGARVE; EURASIA; EUROPE; PORTUGAL; SOUTHERN EUROPE;

ANIMALIA; QUERCUS SUBER;

EID: 45849121345     PISSN: 15324982     EISSN: 15324990     Source Type: Journal    
DOI: 10.1080/15324980801958000     Document Type: Article

References (73)

1. Abu Hammad, A., H. Lundekvam, and T. Børresen. 2004. Adaptation of RUSLE in the eastern part of the Mediterranean region. Environmental Management 34:829-841.
2. Angima, S. D., D. E. Stott, M. K. O'Neill, C. K. Ong, and G. A. Weesies. 2003. Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agriculture, Ecosystems and Environment 97:295-308.
3. Armstrong, M. 1998. Basic linear geostatistics. Springer, Berlin.
4. Aspinall, R. and D. Pearson. 2000. Integrated geographical assessment of environmental condition in water catchments: Linking landscape ecology, environmental modelling and GIS. Journal of Environmental Management 59:299-319.
5. Basso, B., J. T. Ritchie, F. J. Pierce, R. P. Braga, and J. W. Jones. 2001. Spatial validation of crop models for precision agriculture. Agricultural Systems 68:97-112.
6. Bocchi, S., A. Castrignano, F. Fornaro, and T. Maggiore. 2000. Application of factorial kriging for mapping soil variation at field scale. European Journal of Agronomy 13:295-308.
7. Bogaert, P. and D. Russo. 1999. Optimal spatial design for the estimation of the variogram based on a least squares approach. Water Resource Research 35:1275-1289.
8. Botterweg, P., R. Leek, E. Romstad, and A. Vatn. 1998. The EUROSEM-GRIDSEM modelling system for erosion analyses under different natural and economic conditions. Ecological Modelling 108:115-129.
9. Bresler, E. 1989. Estimation of statistical moments of spatial field averages for soil properties and crop yields. Soil Science Society of America Journal 53:1643-1645.
10. Burrough, P. A. 2001. GIS and geostatistics: Essential partners for spatial analysis. Environmental and Ecological Statistics 8:361-377.
11. Buscaglia, H. J. and J. J. Varco. 2003. Comparison of sampling designs in the detection of spatial variability of mississippi delta soils. Soil Science Society of America Journal 67:1180-1185.
12. Cambardella, C. A., T. B. Moorman, J. M. Novak, T. B. Parkin, D. L. Karlen, R. F. Turco, and A. E. Konopka. 1994. Field-scale variability of soil properties in Central Iowa soils. Soil Science Society of America Journal 58:1501-1511.
13. Carter, M. R. 1993. Soil sampling and methods of analysis. Canadian society of soil science, Lewis Publishers, Charlottetown, Canada.
14. Chilès, J. P. and P. Delfiner. 1999. Geostatistics: Modelling spatial uncertainty. John Wiley & Sons, New York.
15. Cole, R. G., T. R. Healy, M. L. Wood, and D. M. Foster. 2001. Statistical analysis of spatial pattern: A comparison of grid and hierarchical sampling approaches. Environmental Monitoring and Assessment 69:85-99.
16. Couto, E. G., A. Stein, and E. Klamt. 1997. Large area spatial variability of soil chemical properties in central Brazil. Agriculture Ecosystems and Environment 66:139-151.
17. Dimitrakopoulos, R. 2005. Applied geostatistical ore reserve estimation. Elsevier Scientific Publishing Co., Amsterdam.
18. Diodato, N. and M. Ceccarelli. 2004. Multivariate indicator kriging approach using a GIS to classify soil degradation for Mediterranean agricultural lands. Ecological Indicators 4:177-187.
19. Diodato, N. and M. Ceccarelli. 2005. Geographical information systems and geostatistics for modelling radioactively contaminated land areas. Natural Hazards 35:229-242.
20. Dregne, H. E. 2002. Land degradation in the drylands. Arid Land Research and Management 16:99-132.
21. Fantechi, R., D. Peter, P. Balabanis, and J. L. Rubio. 1995. Desertification in a European context: Physical and socio-economic aspects. Office for Official Publications of the European Communities, Luxembourg.
22. Fischer, M. and S. Wipf. 2002. Effect of low-intensity grazing on the species-rich vegetation of traditionally mown subalpine meadows. Biological Conservation 104:1-11.
23. Flatman, G. T. and A. A. Yfantis. 1984. Geostatistical strategy for soil sampling: The survey and the census. Environmental Monitoring and Assessment 4:335-349.
24. Gomez, G. J. M. and F. M. Perez. 1996. The dehesas, silvopastoral systems in semiarid Mediterranean regions with poor soils, seasonal climate and extensive utilitation, pp. 55-70, in M. Etienne, ed., Western European silvopastoral systems. INRA Editions, Paris.
25. Goovaerts, P. 1999. Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena 34:227-242.
26. Goovaerts, P., G. M. Jacquez, and D. A. Greiling. 2005. Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms. Geographical Analysis 37:152-182.
27. Goovaerts, P., R. A. V. Rossel, and A. B. McBratney. 2002. Geostatistical modelling and propagation of uncertainty: Application to the management of agricultural fields. Proceedings of International Association for Mathematical Geology (IAMG), September 15-20, Freie Universität, Berlin.
28. Gray, D. H. and R. B. Sotir. 1996. Biotechnical and soil bioengineering slope stabilization. John Wiley & Sons, New York.
29. 2-oxidizing bacteria and serotypes at the millimetre scale along a soil transect. Microbiology Ecology 34:57-62.
30. Horney, R. D., B. Taylor, D. S. Munk, B. A. Roberts, S. M Lesch, and R. E. Plant. 2005. Development of practical site specific management methods for reclaiming salt-affected soil. Computers and Electronics in Agriculture 46:379-397.
31. Jesus, J., T. Panagopoulos, and J. Beltrão. 2002. Application of geostatistics and GIS to experiments in irrigation, pp. 479-484, Proceedings of the 8th International Conference of the International Association for Mathematical Geology (IAMG), September 15-20, Freie Universität, Berlin.
32. Kaffka, S. R., S. M. Lesch, K. M. Bali, and D. L. Corwin. 2005. Site-specific management in salt-affected sugar beet fields using electromagnetic induction. Computers and Electronics in Agriculture 46:329-350.
33. Kohl, M. and G. Gertner. 1997. Geostatistics in evaluating forest damage surveys: Considerations on methods for describing spatial distributions. Forest Ecology and Management 95:131-140.
34. Kopp, E., M. Sobral, T., Soares, and M. Woerner. 1989. Os solos do Algarve e as suas características. DRAALG (Direcção Regional Agricultural do Algarve), Faro, Portugal.
35. Larson, W. E., J. A. Lamb, B. R. Khakural, R. B. Ferguson, and G. W. Rehm. 1997. Potential of site-specific management for nonpoint environmental protection, pp. 369-396, in F. J. Pierce and E. J. Sadler, eds., State of site-specific management for agriculture. ASA Miscellaneous Publication ASA/CSSA/SSSA, Madison, Wisconsin, USA.
36. Lesch, S. M., D. L. Corwin, and D. A. Robinson. 2005. Apparent soil electrical conductivity mapping as an agricultural management tool in arid zone soils. Computers and Electronics in Agriculture 46:351-378.
37. Limon, J. G. and J. V. L. Fernandez. 1999. Changes in use and landscape preferences on the agricultural-livestock landscapes of the central Iberian Peninsula (Madrid, Spain). Landscaping and Urban Planning 44:165-175.
38. Lufafa, A., M. M. Tenywa, M. Isabirye, M. J. G. Majaliwa, and P. L. Woomer. 2003. Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based universal soil loss model. Agricultural Systems 76:883-894.
39. McBratney, A. B., M. L. Santos, and B. Minasny. 2003. On digital soil mapping. Geoderma 117:3-52.
40. Millward, A. A. and J. E. Mersey. 1999. Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena 38:109-129.
41. Moreno, G., J. J. Obrador, and A. Garca. 2007. Impact of evergreen oaks on soil fertility and crop production in intercropped dehesas. Agriculture, Ecosystems and Environment 119:270-280.
42. Nearing, M. A., 1997. A single, continuous function for slope steepness influence on soil erosion. Soil Science Society of America Journal 61:917-919.
43. Olson, K. R., J. M. Lang, and S. A. Ebelhar. 2005. Soil organic carbon changes after 12 years of no-tillage and tillage of Grantsburg soils in southern Illinois. Soil and Tillage Research 81:217-225.
44. Özhan, S., N. Balci, N. Ozyuvaci, A. Hizal, F. Gökbulak, and Y. Serengil. 2005. Cover and management factors for the Universal Soil-Loss Equation for forest ecosystems in the Marmara region, Turkey. Forest Ecology and Management 214:118-123.
45. Panagopoulos, T., O. Baltazar, and M. D. C. Antunes. 2006a. Mapping orchard fruit quality characteristics of apricot (Prunus armeniaca L.) cvs. "Beliana" and "Lindo". Acta Horticulturae 717:377-380.
46. Panagopoulos, T., J. Jesus, M. D. C. Antunes, and J. Beltrão. 2006b. Analysis of spatial interpolation for optimising management of a salinized field cultivated with lettuce. European Journal of Agronomy 24:1-10.
47. Potter, K. N., H. A. Torbert, O. R. Jones, J. E. Matocha, J. E. Morrison, and P. W. Unger. 1998. Distribution and amount of soil organic C in long-term management systems in Texas. Soil and Tillage Research 47:309-321.
48. Renard, K. G., G. R. Foster, G. A. Weesies, D. K. McCool, and D. C. Yoder. 1996. Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). U.S. Department of Agriculture, Agricultural Handbook No. 703. Washington, DC.
49. Reyniers, M., K. Maertens, E. Vrindts, and J. De Baerdemaeker. 2006. Yield variability related to landscape properties of a loamy soil in central Belgium. Soil and Tillage Research 88:262-273.
50. Reynolds, W. D. and D. E. Elrick. 1985. Measurement of field-saturated hydraulic conductivity, sorptivity and the conductivity pressure head relationship using the GUELPH permeameter. Proceedings of National Water Well Association Conference on Characterization and Monitoring of the Vadose (unsaturated) Zone, November, Denver, CO.
51. Rhoton, F. E., R. R. Bruce, N. W. Buehring, G. B. Elkins, C. W. Langdale, and D. D. Tyler. 1993. Chemical and physical characteristics of four soil types under conventional and no-tillage systems. Soil Tillage Research 28:51-61.
52. Ruthven, D. C., T. E. Fulbright, S. L. Beasom, and E. C. Hellgren. 1993. Long term effects of root plowing on vegetation in eastern south Texas plains. Journal of Range Management 46:351-354.
53. Six, J., R. T. Conant, E. A. Paul, and K. Paustian. 2002. Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils. Plant and Soil 241:155-176.
54. Smith, R. E., D. C. Goodrich, and J. N. Quinton. 1995. Dynamic, distributed simulation of watershed-erosion: The Kineros2 and Eurosem models. Journal of Soil and Water Conservation 50:517-520.
55. Sparovek, G. and E. Schnug. 2001. Soil tillage and precision agriculture: A theoretical case study for soil erosion control in Brazilian sugar cane production. Soil and Tillage Research 61:47-54.
56. Sparovek, G., O. O. S. Bacchi, E. Schnug, S. B. L. Ranieri, and I. C. De Maria. 2000. Comparison of three water erosion prediction methods (137Cs, WEPP, USLE) in the southeast Brazilian sugarcane production. Journal of Agriculture in the Tropics and Subtropics 101:107-118.
57. Srividya, A., E. Michael, M. Palaniyandi, S. P. Pani, and P. K. Das. 2002. A geostatistical analysis of the geographic distribution of lymphatic filariasis prevalence in Southern India. American Journal of Tropical Medicine and Hygiene 67:480-489.
58. Thierfelder, C., E. C. Amézquita, and K. Stahr. 2005. Effects of intensifying organic manuring and tillage practices on penetration resistance and infiltration rate. Soil and Tillage Research 82:211-226.
59. Tomas, P. P. and M. A. Coutinho. 1994. Comparison of observed and computed soil loss, using the USLE, pp. 178-191, in R. J. Rickson ed., Conserving soil resources: European perspectives. CAB International, Wallingford, UK.
60. Tóth, T., L. Kuti, L. Kabos, and L. Pásztor. 2001. Use of digitalized hydrogeological maps for evaluation of salt-affected soils of large areas. Arid Land Research and Management 15:329-346.
61. Tóth, T., L. Pásztor, S. Kabos, and L. Kuti. 2002. Statistical prediction of the presence of salt-affected soil by using digitalised hydrogeological maps. Arid Land Research and Management 16:55-68.
62. Wackernagel, H. 1995. Multivariate geostatistics: An introduction with applications. Springer, Berlin.
63. Webster, R. and M. A. Oliver. 1990. Statistical methods in soil and land resource survey. Oxford University Press, New York.
64. Weltz, M. A., G. Dunn, J. Reeder, and G. Frasier. 2003. Ecological sustainability of rangelands. Arid Land Research and Management 17:369-388.
65. White, D. H. 1999. Opportunities and roles for models to aid the management of agricultural and other natural resources within the variable climate of Australia. Environment International 25:907-912.
66. White, J. G. and R. J. Zasoski. 1999. Mapping soil micronutrients. Field Crops Research 60:11-26.
67. Wischmeier, W. H., C. B. Johnson, and B. V. Cross. 1971. A soil erodibility nomograph for farmland and construction sites. Journal of Soil and Water Conservation 26:189-193.
68. Wischmeier, W. H. and D. D. Smith. 1978. Predicting rainfall erosion losses: A guide to conservation planning. U.S. Department of Agriculture, Agriculture Handbook No. 537.
69. WRB (World reference base for soil resources). 2006. World reference base for soil resources 2006. World Soil Resources Reports No. 103, FAO, Rome.
70. Yalouris, K. P., V. Kollias, N. A. Lorentzos, D. Kalivas, and A. B. Sideridis. 1997. An integrated expert geographical information system for soil suitability and soil evaluation. Journal of Geographic Information Decision Analysis 1:90-100.
71. Yates, T. T., B. C. Si, R. E. Farrell, and D. J. Pennock. 2006. Probability distribution and spatial dependence of nitrous oxide emission temporal change in hummocky terrain. Soil Science Society of America 70:753-762.
72. Zalidis, G., S. Stamatiadis, V. Takavakoglou, K. Eskridge, and N. Misopolinos. 2002. Impacts of agricultural practices on soil and water quality in the Mediterranean region and proposed assessment methodology. Agriculture, Ecosystems and Environment 88:137-146.
73. Zhu, M., D. B. Taylor, and S. C. Sarin. 1993. A multi-objective dynamic programming model for evaluation of agricultural management systems in Richmond County. Agricultural Systems 42:127-152.