Forests 2014, 5(10), 2521-2541; doi:10.3390/f5102521
Estimating the Annual Above-Ground Biomass Production of Various Species on Sites in Sweden on the Basis of Individual Climate and Productivity Values
1
Department of Forestry and Wood Technology, Linnæus University, SE-351 95 Växjö, Sweden
2
Wood Science and Engineering, Wood Technology, SE-931 87 Skellefteå, Sweden
*
Author to whom correspondence should be addressed.
Received: 9 July 2014 / Revised: 6 October 2014 / Accepted: 20 October 2014 / Published: 22 October 2014
Abstract
The literature contains a large number of bioclimate, climate and biometric models for estimating the production of different species or stands under specific conditions on a defined site or models giving the distribution of a single species. Depending on the model used, the amount of input data required varies considerably and often involves a large investment in time and money. The purpose of this study was to create a model to estimate the annual above-ground biomass production of various species from site conditions defined by mean annual temperature and mean annual precipitation. For this approach, the Miami model of Lieth was used as a base model with some modifications. This first version of the modified model was restricted to sites in Sweden, where changes in the soil and groundwater level were relatively small, and where the growth of land vegetation was mostly dependent on temperature. A validation of this model has shown that it seems possible to use the Miami model to estimate the annual above-ground biomass production of various species, and that it was possible to compare the annual above-ground biomass production of different species on one site, as well as the annual above-ground biomass production of different species on different sites using the modeled data. View Full-TextKeywords:
MAT; MAP; bioclimatic model; above-ground biomass production
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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