The use of vegetation series to assess á and â vegetation diversity and their relationships with geodiversity in the province of Almeria (Spain) with watersheds as operational geographic units

Pérez Gomez, Rufino; Ibañez, Juan José; Ganis, Paula y Feoli, Enrico (2016). The use of vegetation series to assess á and â vegetation diversity and their relationships with geodiversity in the province of Almeria (Spain) with watersheds as operational geographic units. "Plant Biosystems", v. 150 (n. 6); pp. 1395-1407. ISSN 1126-3504. https://doi.org/10.1080/11263504.2016.1165755.

Descripción

Título: The use of vegetation series to assess á and â vegetation diversity and their relationships with geodiversity in the province of Almeria (Spain) with watersheds as operational geographic units
Autor/es:
  • Pérez Gomez, Rufino
  • Ibañez, Juan José
  • Ganis, Paula
  • Feoli, Enrico
Tipo de Documento: Artículo
Título de Revista/Publicación: Plant Biosystems
Fecha: Octubre 2016
Volumen: 150
Materias:
Palabras Clave Informales: Data mining, Mantel, nestedness, partial correlation, pedodiversity, Simpson, knowledge generation.
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

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Resumen

Abstract With this paper we suggest that vegetation series is a useful conceptual tool to identify a clear level of biodiversity of land systems among the many possible logical levels. The suggestion is supported by the results of a case study carried out for the province of Almeria (Spain) using the watersheds as operational geographic units. The application of standard correlation analysis, simple and partial, the Mantel?s test, and the cluster analysis has shown that ? and ? vegetation diversities, based on vegetation series, are significantly predictive with respect to environmental heterogeneity expressed by pedodiversity, lithodiversity, and some parameters of digital elevation model. Being a product of the Braun Blanquet?s floristic approach, vegetation series could be the key to enter into vegetation databases for biodiversity analysis of land systems at many other levels of knowledge. Keywords: data mining, Mantel, nestedness, partial correlation, pedodiversity, Simpson, knowledge generation

Más información

ID de Registro: 44288
Identificador DC: http://oa.upm.es/44288/
Identificador OAI: oai:oa.upm.es:44288
Identificador DOI: 10.1080/11263504.2016.1165755
URL Oficial: http://www.tandfonline.com/doi/pdf/10.1080/11263504.2016.1165755
Depositado por: Memoria Investigacion
Depositado el: 08 Mar 2017 12:12
Ultima Modificación: 08 Mar 2017 12:12
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