Spatial patterns of soil degradation in Mexico

The spatial pattern of soil degradation in Mexico was evaluated to test the hypothesis of non-random correlation. For this purpose, data on the degree of soil degradation in the 16,040 ecological systems in which the country is divided was used to calculate the Moran coefficient. A graphical analysis, based on the dispersion diagram and the local indicator of spatial association, was also applied. Soil degradation showed a positive and statistically robust pattern of spatial auto-correlation, since the Moran coefficient was able to synthesize 42.8% of the global structure of linear correlation among the degrees of degradation. The underlying variables that explain the relationship remain to be identified. Key words:

[1]  P. Lebrun,et al.  Spatial microdistribution of mites and organic matter in soils and caves , 2004, Biology and Fertility of Soils.

[2]  Heejun Chang,et al.  Spatial analysis of water quality trends in the Han River basin, South Korea. , 2008, Water research.

[3]  Stéphane Dray,et al.  Spatial ordination of vegetation data using a generalization of Wartenberg's multivariate spatial correlation , 2008 .

[4]  F. D. Whisler,et al.  Spatial Variability Analysis of Soil Physical Properties of Alluvial Soils , 2005 .

[5]  J. Ord,et al.  Spatial Processes. Models and Applications , 1982 .

[6]  J. Camarero,et al.  Técnicas de análisis espacial de patrones de superficies y detección de fronteras aplicadas en ecología forestal , 2006 .

[7]  T. Coburn.  Spatial Data Analysis by Example , 1991 .

[8]  P. Greig-Smith,et al.  QUANTITATIVE PLANT ECOLOGY , 1959 .

[9]  W. Tobler.  A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .

[10]  Canran Liu,et al.  A comparison of five distance-based methods for spatial pattern analysis , 2001 .

[11]  G. Whittaker,et al.  GIS Analysis of Spatial Clustering and Temporal Change in Weeds of Grass Seed Crops , 2008 .

[12]  Československá akademie věd,et al.  Spatial processes in plant communities : proceedings of the Workshop held Liblice, 18-22 Sept. 1989 , 1990 .

[13]  P. Moran.  Notes on continuous stochastic phenomena. , 1950, Biometrika.

[14]  E. C. Pielou,et al.  An introduction to mathematical ecology , 1970 .

[15]  L. Anselin.  Local Indicators of Spatial Association—LISA , 2010 .

[16]  S. Toepfer,et al.  Spatial clustering of Diabrotica virgifera virgifera and Agriotes ustulatus in small‐scale maize fields without topographic relief drift , 2007 .

[17]  J. Keith Ord,et al.  Spatial Processes Models and Applications , 1981 .

[18]  F. Dessaint,et al.  Spatial pattern analysis of weed seeds in the cultivated soil seed bank. , 1991 .

[19]  Evelyn Uuemaa,et al.  Spatial correlograms of soil cover as an indicator of landscape heterogeneity , 2008 .

[20]  C. Heiser.  Quantitative Plant Ecology P. Greig-Smtih , 1964 .

[21]  Mark R. T. Dale,et al.  Spatial Pattern Analysis in Plant Ecology: Spatial Pattern Analysis in Plant Ecology , 1999 .

[22]  Peter J. Diggle,et al.  Statistical analysis of spatial point patterns , 1983 .

[23]  Chaosheng Zhang,et al.  Use of local Moran's I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland. , 2008, The Science of the total environment.

[24]  D. Nestel,et al.  Spatial Analysis of Entomopathogenic Nematodes and Insect Hosts in a Citrus Grove in a Semi-Arid Region in Israel , 2001 .

[25]  K. Pearson.  Mathematical Contributions to the Theory of Evolution. III. Regression, Heredity, and Panmixia , 1896 .

[26]  S. Shaukat,et al.  Spatial pattern analysis of seeds of an arable soil seed bank and its relationship with above-ground vegetation in an arid region , 2004 .

[27]  Luc Anselin,et al.  GeoDa TM 0.9.5-i Release Notes , 2004 .

[28]  Richard E. Zartman,et al.  Exploring spatial dependence of cotton yield using global and local autocorrelation statistics , 2004 .

[29]  R. M. Mc Donnell,et al.  Factors affecting Sciomyzidae (Diptera) across a transect at Skealoghan Turlough (Co. Mayo, Ireland) , 2009, Aquatic Ecology.