Free access
Ann. For. Sci.
Volume 62, Number 1, January-February 2005
Page(s) 61 - 72
Ann. For. Sci. 62 (2005) 61-72
DOI: 10.1051/forest:2004086

Site index in relation to edaphic variables in stone pine (Pinus pinea L.) stands in south west Spain

Andrés Bravo-Oviedoa, b and Gregorio Monteroa

a  Forest Research Centre (CIFOR-INIA), Ctra. A Coruña, km. 7,5, 28040 Madrid, Spain
b  Current address: Universidad de Valladolid, Dpto, Producción Vegetal y Recursos Forestales, Avda. Madrid s/n Edificio E, 34004 Palencia, Spain

(Received 30 July 2003; accepted 19 April 2004)

Abstract - In this study, the capacity of contingency tables and correspondence analysis (CA) to determine graphically what categories of edaphic variables vary with Site Index (SI) is analysed. The categories that show association with SI are those related to textural type and water holding capacity. Furthermore, 66 discriminant rules are tested for their ability to classify plots into SI classes using edaphic data. A discriminant rule for classifying observations into two SI classes according to elevation and soil texture (represented by the silt and clay content) is presented for stone pine (Pinus pinea L.). This model was chosen based on a cross-validation. The error rate was 29.4% for the best quality group and 21.7% for the lowest quality group.

Résumé - Site index en relation avec les variables du sol pour les peuplements de pin pignon (Pinus pinea L.) dans le sud-ouest de l'Espagne. On a étudié l'intérêt des tables de contingence et l'analyse de correspondance pour définir, d'une façon graphique, quelles sont les variables du sol les plus reliées aux caractéristiques des stations. Les variables qui sont corrélées avec SI (site index) sont celles qui sont en relation avec le type de texture et la capacité de rétention en eau. Différentes équations discriminantes basées sur des données édaphologiques ont été testées pour classer les parcelles selon la qualité de station. L'équation discriminante résultante pour le sud-ouest de l'Espagne est basé sur l'altitude et la teneur en limon et argile. L'erreur totale a été de 29,4 % dans le cas de la meilleure qualité et de 21,7 % dans le cas de la qualité la moins bonne.

Key words: correspondence analysis / discriminant analysis / site index / edaphic variable / categorical data / Pinus pinea L.

Mots clés : table de contingence / analyse de correspondance / analyse discriminante / site index / variable du sol / Pinus pinea L.

Corresponding author: Andrés Bravo-Oviedo

© INRA, EDP Sciences 2005

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