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Adaptation of a modelling strategy to predict the NPP of even-aged forest stands
Adaptation of a modelling strategy to predict the NPP of even-aged forest stands
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Adaptation of a modelling strategy to predict the NPP of even-aged forest stands
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Adaptation of a modelling strategy to predict the NPP of even-aged forest stands
Adaptation of a modelling strategy to predict the NPP of even-aged forest stands

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Adaptation of a modelling strategy to predict the NPP of even-aged forest stands
Adaptation of a modelling strategy to predict the NPP of even-aged forest stands
Journal Article

Adaptation of a modelling strategy to predict the NPP of even-aged forest stands

2012
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Overview
The assessment of net forest production is important for both scientific and practical purposes. The current paper presents the application of a recently developed strategy to estimate the net primary productivity of an even-aged Mediterranean pine forest (Natural Park of San Rossore, Central Italy). The strategy is based on the use of two models, C-Fix and BIOME-BGC, whose outputs are combined with forest volume data in order to describe the actual status of the ecosystems examined. The accuracy of the simulation is tested against measurements of current annual increment (CAI) derived from a recent forest inventory of the Park. The results of this test indicate that the methodology must be modified to account for the even-aged nature of the study stands. The modification is performed by the analysis of dendrochronological and tree density data, which characterize the temporal volume and CAI evolution of representative forest stands. The modified methodology is capable of taking into account the effect of stand ageing and yielding nearly unbiased estimates of forest CAI.