Pedodiversity-area relationships for islands

Ibáñez, Juan‐José; Caniego, J.; Fernando, José F.; Carrera, César

doi:10.1016/j.ecolmodel.2004.04.005

Cited by 57 publications

(49 citation statements)

References 45 publications

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“…The study of area-geodiversity relationships is a relatively new área of research that has concentrated mainly on areapedodiversity relationships. The results of these studies have proved the fractal nature of pedodiversity (see Ibáñez et al, 2005Ibáñez et al, , 2009Ibáñez and Bockheim, 2013) analogous to what has been found in studies of species abundance and diversity in ecology (Harte et al, 1999;May, 1975;Sugihara and May, 1990). In contrast, the relationships between soil and vegetation have long been of interest to researchers (e.g., Duchaufour, 1998;Pugnaire et al, 2004).…”

Section: Introductionmentioning

confidence: 79%

Using spatial data mining to analyze area-diversity patterns among soil, vegetation, and climate: A case study from Almería, Spain

et al. 2017

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Area-pedodiversity, area-vegetation diversity, area-bioclimatic belts, diversity and pedodiversity-vegetation diversity-bioclimatic diversity relationships were analyzed for the most arid región of Western Europe (SE Spain). The study is novel in that it analyzed these relationships using as operational geographic units (OGUs) the set of polygons belonging to the same character state (i.e., typology) that defines a zone in a given thematic map. We considered three thematic maps: 1) the map of soil associations (SMU) with 303 different soil associations (i.e., 303 áreas orzones); 2) the map ofpotential vegetation (PNV) with 40 vegetation series orzones and 3) the map of bioclimatic belts (BB) with 7 bioclimatic zones. Using GIS tools, we analyzed the contents (richness) of soil mapping units (polygons) with regard to vegetation series and bioclimatic belts as well as the contents of vegetation series and bioclimatic belts with regard to SMU. The results indícate that the relationships between the área and the richness of zones follow a power law, the "fingerprint of fractal geometry", irrespective of the way the área has been defined and their relative magnitude (the áreas defined by SMU are the smallest, while the áreas defined by bioclimatic belts are the largest). The results also indícate a significant correlation between the a diversities of the zones and between their |3 diversities. We conclude that the methods used to measure such correlations, based on a and |3 diversities are useful to investígate and quantify the relationships between the pedosphere, vegetation and climate.

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Section: Introductionmentioning

confidence: 79%

Using spatial data mining to analyze area-diversity patterns among soil, vegetation, and climate: A case study from Almería, Spain

et al. 2017

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“…The same pattern has been observed in biodiversity studies for islands (MacArthur and Wilson 1967;May, 1975). Power law scalings of pedorichness-area relationships were first conjectured by Ibáñez and de Alba (2000) for earth soil systems and they have been reported for different soil classifications and geographical units (Ibáñez et al, 2005a;Caniego et al, 2005). They may be interpreted as indicators of the selfsimilarity of the pedorichness spatial distribution.…”

Section: Resultsmentioning

confidence: 99%

Rényi dimensions and pedodiversity indices of the earth pedotaxa distribution

Caniego

Ibáñez

Martínez

2007

Nonlin. Processes Geophys.

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Abstract. Pedodiversity, the study and measurement of soil diversity, may be considered as a framework to analyze spatial patterns. Recently, selfsimilar multifractal patterns have been recently reported in the pedotaxa-abundance distributions at the planetary scale. This is the result to be expected from the complexity of earth soil systems. When the state of soil is understood as the outcome of nonlinear chaotic dynamic, highly irregular patterns with so-called multifractal behavior should be common. This opens the opportunity to use parameters of fractal theory to characterize pedodiversity. We compute Rényi generalized dimensions for the abundance distribution of pedotaxa for the five landmasses and the whole World drawn from the most detailed available global dataset based on the second level of the FAO 1974 classification units. We explore the effective relationship between diversity indices and Rényi dimensions. We show how multifractal analysis unifies diversity indices and how they should be interpreted offering a coherent perspective with a single mathematical procedure to analyze spatial patterns of the pedosphere.

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“…Power -law scalings of pedorichness-area relationships were first conjectured by Ibáñez and De Alba (2000) for earth soil systems and they have been reported for different soil classifications and geographical units (Guo et al, 2003a;Phillips, 2004;Ibáñez et al, 2004Ibáñez et al, , 2005a. They may also be interpreted in terms of the selfsimilarity of the pedorichness spatial distribution.…”

Section: Introductionmentioning

confidence: 95%

“…Therefore, in a broader sense, we are concerned with richness-area relationships and abundance distributions, so that there are biorichnessarea relationships and biotaxa-abundance distributions, in macroecology, and pedorichness-area relationships and pedotaxa-abundance distributions in pedology. These concepts have been applied to soils (Ibáñez et al, 1995(Ibáñez et al, , 1998(Ibáñez et al, , 2005aPhillips, 2001;Guo et al, 2003a;Phillips, 2004), considering the extension of each soil type (taxon) within a region, just as an area covered by plant communities is evaluated when analyzing biodiversity in vegetation biology (Magurran, 1988). It has been found that biotic and abiotic resources follow similar patterns at different regional scales (Ibáñez et al, 1990(Ibáñez et al, , 1995(Ibáñez et al, , 1998Guo et al, 2003a;Phillips, 2004;Ibáñez et al, 2005a) and also at the planetary scale (Ibáñez et al, 2004).…”

Section: Introductionmentioning

confidence: 97%