Comparing simulations of three conceptually different forest models with National Forest Inventory data

Huber, M.O., Eastaugh, C.S., Gschwantner, T., Hasenauer, H., Kindermann, G. ORCID: https://orcid.org/0000-0003-4297-1318, Ledermann, T., Lexer, M.J., Ramer, W., Schoerghuber, S., & Sterba, H. (2013). Comparing simulations of three conceptually different forest models with National Forest Inventory data. Environmental Modelling & Software 10.1016/j.envsoft.2012.08.003.

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Abstract

Although they were originally introduced for different purposes, forest models are often used today for scenario development, which includes forest production as one aspect of forest development. However, studies using an independent data set to compare different simulators are rarely found. In this study a subset of National Forest Inventory data for the whole of Austria was compared to simulations of the biogeochemistry model Biome-BGC, the hybrid gap model PICUS and a climate sensitive version of the growth and yield model PrognAus. The models were used to simulate the development of approximately 70 forest inventory sample plots over a period of 15 years. The study focussed on the models' sensitivity to varying environmental conditions; thus, the comparison was based on the mean current annual volume increment per hectare. All models showed a significant average deviation from the inventory (over- or under-estimation). The estimated year-to-year variation was best reproduced by PICUS. However, the 15 year growth trend was also shown by Biome-BGC and PrognAus. Potential model users interested in relating mean current annual volume increment to climate data will need to weigh accuracy against applicability when choosing among these models.

Item Type:	Article
Uncontrolled Keywords:	Climate change; Ecosystem model; Sensitivity; Increment; Forest growth; Simulator
Research Programs:	Ecosystems Services and Management (ESM)
Bibliographic Reference:	Environmental Modelling & Software; 40:88-97 (February 2013) (Published online 10 September 2012)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:49
Last Modified:	27 Aug 2021 17:23
URI:	https://pure.iiasa.ac.at/10543

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