Growth and Yield Model for Uneven-Aged Mixtures of Pinus Sylvestris L. and Pinus Nigra Arn. in Catalonia, North-East Spain. Trasobares, A., Pukkala, T., & Miina, J. Annals of Forest Science, 61(1):9–24, January, 2004. doi abstract bibtex A distance-independent diameter growth model, a static height model, an ingrowth model and a survival model for uneven-aged mixtures of Pinus sylvestris L. and Pinus nigra Arn. in Catalonia (north-east Spain) were developed. Separate models were developed for P. sylvestris and P. nigra. These models enable stand development to be simulated on an individual tree basis. The models are based on 922 permanent sample plots established in 1989 and 1990 and remeasured in 2000 and 2001 by the Spanish National Forest Inventory. The diameter growth models are based on 8058 and 5695 observations, the height models on 8173 and 5721 observations, the ingrowth models on 716 and 618 observations, and the survival models on 7823 and 5244 observations, respectively, for P. sylvestris and P. nigra. The relative biases for the height models are 6.7\,% for P. sylvestris and 3.3\,% for P. nigra. The biases for the diameter growth models are zero due to the applied Snowdon correction. The biases of the ingrowth models are zero due to the applied fitting method. The relative RMSE values for the P. sylvestris and P. nigra models, respectively, are 56.4\,% and 48.6\,% for diameter growth, 24.0\,% and 21.7\,% for height, and 224.3\,% and 257.3\,% for ingrowth.
@article{trasobaresGrowthYieldModel2004,
title = {Growth and Yield Model for Uneven-Aged Mixtures of {{Pinus}} Sylvestris {{L}}. and {{Pinus}} Nigra {{Arn}}. in {{Catalonia}}, North-East {{Spain}}},
author = {Trasobares, Antoni and Pukkala, Timo and Miina, Jari},
year = {2004},
month = jan,
volume = {61},
pages = {9--24},
issn = {1286-4560},
doi = {10.1051/forest:2003080},
abstract = {A distance-independent diameter growth model, a static height model, an ingrowth model and a survival model for uneven-aged mixtures of Pinus sylvestris L. and Pinus nigra Arn. in Catalonia (north-east Spain) were developed. Separate models were developed for P. sylvestris and P. nigra. These models enable stand development to be simulated on an individual tree basis. The models are based on 922 permanent sample plots established in 1989 and 1990 and remeasured in 2000 and 2001 by the Spanish National Forest Inventory. The diameter growth models are based on 8058 and 5695 observations, the height models on 8173 and 5721 observations, the ingrowth models on 716 and 618 observations, and the survival models on 7823 and 5244 observations, respectively, for P. sylvestris and P. nigra. The relative biases for the height models are 6.7\,\% for P. sylvestris and 3.3\,\% for P. nigra. The biases for the diameter growth models are zero due to the applied Snowdon correction. The biases of the ingrowth models are zero due to the applied fitting method. The relative RMSE values for the P. sylvestris and P. nigra models, respectively, are 56.4\,\% and 48.6\,\% for diameter growth, 24.0\,\% and 21.7\,\% for height, and 224.3\,\% and 257.3\,\% for ingrowth.},
journal = {Annals of Forest Science},
keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13503205,growth-yield,mixed-models,mixed-species-stand,pinus-nigra,pinus-sylvestris,simulation,uneven-aged-forests},
lccn = {INRMM-MiD:c-13503205},
number = {1}
}
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Separate models were developed for P. sylvestris and P. nigra. These models enable stand development to be simulated on an individual tree basis. The models are based on 922 permanent sample plots established in 1989 and 1990 and remeasured in 2000 and 2001 by the Spanish National Forest Inventory. The diameter growth models are based on 8058 and 5695 observations, the height models on 8173 and 5721 observations, the ingrowth models on 716 and 618 observations, and the survival models on 7823 and 5244 observations, respectively, for P. sylvestris and P. nigra. The relative biases for the height models are 6.7\\,% for P. sylvestris and 3.3\\,% for P. nigra. The biases for the diameter growth models are zero due to the applied Snowdon correction. The biases of the ingrowth models are zero due to the applied fitting method. The relative RMSE values for the P. sylvestris and P. nigra models, respectively, are 56.4\\,% and 48.6\\,% for diameter growth, 24.0\\,% and 21.7\\,% for height, and 224.3\\,% and 257.3\\,% for ingrowth.","journal":"Annals of Forest Science","keywords":"*imported-from-citeulike-INRMM,~INRMM-MiD:c-13503205,growth-yield,mixed-models,mixed-species-stand,pinus-nigra,pinus-sylvestris,simulation,uneven-aged-forests","lccn":"INRMM-MiD:c-13503205","number":"1","bibtex":"@article{trasobaresGrowthYieldModel2004,\n title = {Growth and Yield Model for Uneven-Aged Mixtures of {{Pinus}} Sylvestris {{L}}. and {{Pinus}} Nigra {{Arn}}. in {{Catalonia}}, North-East {{Spain}}},\n author = {Trasobares, Antoni and Pukkala, Timo and Miina, Jari},\n year = {2004},\n month = jan,\n volume = {61},\n pages = {9--24},\n issn = {1286-4560},\n doi = {10.1051/forest:2003080},\n abstract = {A distance-independent diameter growth model, a static height model, an ingrowth model and a survival model for uneven-aged mixtures of Pinus sylvestris L. and Pinus nigra Arn. in Catalonia (north-east Spain) were developed. Separate models were developed for P. sylvestris and P. nigra. These models enable stand development to be simulated on an individual tree basis. The models are based on 922 permanent sample plots established in 1989 and 1990 and remeasured in 2000 and 2001 by the Spanish National Forest Inventory. The diameter growth models are based on 8058 and 5695 observations, the height models on 8173 and 5721 observations, the ingrowth models on 716 and 618 observations, and the survival models on 7823 and 5244 observations, respectively, for P. sylvestris and P. nigra. The relative biases for the height models are 6.7\\,\\% for P. sylvestris and 3.3\\,\\% for P. nigra. The biases for the diameter growth models are zero due to the applied Snowdon correction. The biases of the ingrowth models are zero due to the applied fitting method. 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