2026-04-14T17:49:47Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/77642025-01-10T10:25:30Zcom_10324_7492com_10324_952com_10324_894col_10324_7493
UVaDOC author Escalante, Ernesto author Pando Fernández, Valentín author Ordoñez Alonso, Ángel Cristobal author Bravo Oviedo, Felipe 2014-12-19T12:10:29Z 2014-12-19T12:10:29Z 2011 Annals of Forest Science (2011) 68:715-726 1297-966X http://uvadoc.uva.es/handle/10324/7764 Understanding diameter growth of the Mediterranean pine species is fundamental for evaluating and making appropriate strategic decisions in forest management. A matrix diameter growth model for two Mediterranean pine forest ecosystems in Spain has been developed. Methods Multinomial logistic (MNL) regression was employed to estimate the transition probabilities of a matrix growth model. The model combines individual tree and stand attributes and explores the effects of independent variables and their relationships with tree size and the probabilities of stand diameter growth. The aim was to predict growth of individual trees by diameter class for a 5-year period. Results MNL model results for diameter growth gave better predictions for Maritime pine (Pinus pinaster Aiton) than for Scots pine (Pinus sylvestris L.). Stand simulations showed that diameter growth probabilities depended on productivity and stand density. Stand simulations under fixed conditions showed that the probabilities of diameter growth increased as site productivity increased and decreased with increased stand density index. Conclusions This study demonstrates the usefulness of matrix growth models as tools to predict growth in Mediterranean pine forests. Stand density and site productivity are key factors in explaining Scots pine and Maritime pine forest growth in the study area. eng Attribution-NonCommercial-NoDerivatives 4.0 International Pinos-Crecimiento-España Multinomial logit estimation of a diameter growth matrix model of two Mediterranean pine species in Spain info:eu-repo/semantics/contributionToPeriodical 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URL https://uvadoc.uva.es/bitstream/10324/7764/1/2011_Escalante_etal_MatrixModel_annalsforest.pdf File MD5 d6e28ee9c7f0de22a2de2ee465430d45 206719 application/pdf 2011_Escalante_etal_MatrixModel_annalsforest.pdf