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Forests 2018, 9(4), 212; https://doi.org/10.3390/f9040212

An Inventory-Based Regeneration Biomass Model to Initialize Landscape Scale Simulation Scenarios

Chair of Forest Growth and Yield Science, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
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Received: 18 March 2018 / Revised: 5 April 2018 / Accepted: 12 April 2018 / Published: 17 April 2018
(This article belongs to the Special Issue Simulation Modeling of Forest Ecosystems)
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Abstract

Dynamic landscape simulation of the forest requires an initial regeneration stock specific to the characteristics of each simulated stand. Forest inventories, however, are sparse with regard to regeneration. Moreover, statistical regeneration models are rare. We introduce an inventory-based statistical model type that (1) quantifies regeneration biomass as a fundamental regeneration attribute and (2) uses the overstory’s quadratic mean diameter (Dq) together with several other structure attributes and the Site Index as predictors. We form two such models from plots dominated by European beech (Fagus sylvatica L.), one from national forest inventory data and the other from spatially denser federal state forest inventory data. We evaluate the first one for capturing the predictors specific to the larger scale level and the latter one to infer the degree of landscape discretization above which the model bias becomes critical due to yet unquantified determinants of regeneration. The most relevant predictors were Dq, stand density, and maximum height (significance level p < 0.0001). If plot data sets for evaluation differed by the forest management unit in addition to the average diameter, the bias range among them increased from 0.1-fold of predicted biomass to 0.3-fold. View Full-Text
Keywords: regeneration modelling; landscape scale modelling; stand structure; inventory data; Fagus sylvatica regeneration modelling; landscape scale modelling; stand structure; inventory data; Fagus sylvatica
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Poschenrieder, W.; Biber, P.; Pretzsch, H. An Inventory-Based Regeneration Biomass Model to Initialize Landscape Scale Simulation Scenarios. Forests 2018, 9, 212.

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