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

Pérez Gómez, Rufino; Feoli, Enrico; Oyonarte, Cecilio y Ibáñez, Juan J. (2017). Using spatial data mining to analyze area-diversity patterns among soil, vegetation, and climate: A case study from Almería, Spain. "Geoderma", v. 287 ; pp. 164-169. ISSN 0016-7061. https://doi.org/10.1016/j.geoderma.2016.09.011.

Descripción

Título: Using spatial data mining to analyze area-diversity patterns among soil, vegetation, and climate: A case study from Almería, Spain
Autor/es:
  • Pérez Gómez, Rufino
  • Feoli, Enrico
  • Oyonarte, Cecilio
  • Ibáñez, Juan J.
Tipo de Documento: Artículo
Título de Revista/Publicación: Geoderma
Fecha: Febrero 2017
Volumen: 287
Materias:
Palabras Clave Informales: α and β diversity, Pedodiversity, Vegetation diversity, Taxa-area relationships, Power laws, Scale invariance.
Escuela: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Departamento: Ingeniería Cartográfica y Topografía
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (7MB) | Vista Previa

Resumen

ABSTRACT: Area-pedodiversity, area?vegetation diversity, area-bioclimatic belts, diversity and pedodiversity-vegetation diversity-bioclimatic diversity relationships were analyzed for the most arid region ofWestern 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 areas or zones); 2) the map of potential vegetation (PNV)with 40 vegetation series or zones 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 indicate that the relationships between the area and the richness of zones follow a power law, the ?fingerprint of fractal geometry?, irrespective of the way the area has been defined and their relative magnitude (the areas defined by SMU are the smallest, while the areas defined by bioclimatic belts are the largest). The results also indicate a significant correlation between the ? diversities of the zones and between their ? diversities. We conclude that the methods used to measure such correlations, based on ? and ? diversities are useful to investigate and quantify the relationships between the pedosphere, vegetation and climate.

Más información

ID de Registro: 44987
Identificador DC: http://oa.upm.es/44987/
Identificador OAI: oai:oa.upm.es:44987
Identificador DOI [BETA]: 10.1016/j.geoderma.2016.09.011
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0016706116304256
Depositado por: Memoria Investigacion
Depositado el: 07 Mar 2017 15:51
Ultima Modificación: 07 Mar 2017 15:51
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM