Growth and yield modelling for optimal multi-objective forest management of eastern Mediterranean Pinus brutia
Demiguel S. (2014). Growth and yield modelling for optimal multi-objective forest management of eastern Mediterranean Pinus brutia. https://doi.org/10.14214/df.170
Abstract
Pinus brutia is a major element of the Mediterranean forest landscape. It plays an important ecological and socioeconomic role by providing wood and non-wood forest products and ecosystem services. Despite its regional relevance, information is lacking for scientific management of P. brutia. The aim of this thesis is to address several gaps in knowledge in the prediction of P. brutia growth and yield in relation to contemporary multi-objective management planning. Individual-tree forest management-oriented models were fitted to predict stand dynamics of even- and uneven-aged P. brutia stands. Taper models and allometric biomass equations were fitted to enable the prediction of assortment volumes and aboveground biomass of P. brutia. Different prediction strategies based on mixed- and fixed-effects models in the absence and in the presence of model calibration were tested. The potential of using meta-analytical approaches was also inspected. The joint production of pine honeydew honey and timber was optimized. Although P. brutia tends to form even-aged stands and it is mainly managed using even-aged schedules, the prediction of semi-even-aged stand dynamics is more accurate if ingrowth is considered within the framework of uneven-aged modelling approach. In the absence of calibration, marginal predictions of timber assortments based on mixed-effects taper equations are competitive with those from fixed-effects models. The calibration of generalized mixed-effects biomass meta-models with minimal sampling effort results in more accurate predictions than local models developed from much larger datasets. The economic profitability of P. brutia forest management is the highest in healthy stands growing on good sites unaffected by Marchalina hellenica. In infested stands growing on good sites, honey production cannot compensate for the volume increment loss caused by the scale insect. On the contrary, on poor and medium sites, joint production of honey and timber can result in higher economic profit than wood production in healthy stands.
Keywords
forest planning;
stand dynamics;
mixed-effects;
calibration;
biomass and carbon;
optimization;
non-wood forest product
Published 3 February 2014
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Available at https://doi.org/10.14214/df.170 | Download PDF
Original articles
de-Miguel S., Pukkala T., Shater Z., Assaf N., Kraid B., Palahí M. (2010). Models for simulating the development of even-aged Pinus brutia stands in Middle East. Forest Systems 19(3): 449-457.
https://doi.org/10.5424/fs/2010193-9046
de-Miguel S., Pukkala T., Assaf N., Bonet J.A. (2012). Even-aged or uneven-aged modelling approach? A case for Pinus brutia. Annals of Forest Science 69(4): 455-465.
https://doi.org/10.1007/s13595-011-0171-2
de-Miguel S., Mehtätalo L., Shater Z., Kraid B., Pukkala T. (2012). Evaluating marginal and conditional predictions of taper models in the absence of calibration data. Canadian Journal of Forest Research 42(7): 1383-1394.
https://doi.org/10.1139/X2012-090
de-Miguel S., Pukkala T., Assaf N., Shater Z. (2014). Intra-specific differences in allometric equations for aboveground biomass ofbiomass of eastern Mediterranean Pinus brutia. Annals of Forest Science 71(1): 101-112.
https://doi.org/10.1007/s13595-013-0334-4
de-Miguel S., Mehtätalo L., Durkaya A. Developing generalized, calibratable, mixed-effects meta-models for large-scale biomass prediction. Manuscript.
de-Miguel S., Pukkala T., Yeşil A. (2013). Integrating pine honeydew honey production into forest management optimization. European Journal of Forest Research.