2019
DOI: 10.1007/978-3-030-19293-8_12
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State and Change of Forest Resources

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Cited by 10 publications
(19 citation statements)
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“…The TLS-derived AGB was compared with allometry-based estimates following species-specific allometric equations established by the Swiss NFI ( Herold et al , 2019 ). The fit between allometry-based AGB estimates and reference AGB [ R 2 = 0.837, RMSE = 1159 kg (with respect to 1:1 line)] is shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…The TLS-derived AGB was compared with allometry-based estimates following species-specific allometric equations established by the Swiss NFI ( Herold et al , 2019 ). The fit between allometry-based AGB estimates and reference AGB [ R 2 = 0.837, RMSE = 1159 kg (with respect to 1:1 line)] is shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Estimates of AGB based on the QSM approach were compared with AGB estimates based on species- and region-specific allometric equations. For this purpose, species-specific allometric tariff models established for the Swiss National Forest Inventory (NFI) published in Kaufmann (2001) and Herold et al (2019) were used to derive stem volumes. These tariff models were established for forest trees.…”
Section: Methodsmentioning
confidence: 99%
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“…Our study demonstrated the capacity of the new DSS prototype to provide enterprise-specific scenario estimates under changing climate and alternative management strategies, enabling stakeholders to take scientifically well-founded decisions for sustainable forest management. In particular, the new DSS offers: (1) a stronger link to inventory data and forest growth conditions in Switzerland by incorporating the new forest model SwissStandSim (Zell et al, 2020), the stand initialization approach by Mey et al (2021) and the allometric functions for tree biomass and carbon content based on the latest national forest inventory (Didion et al, 2019;Herold et al, 2019), (2) a climate sensitive framework, which is of increasing importance for strategic planning (Mina et al, 2017), (3) a widened portfolio of BES indicators, integrating also the socially important recreation function (e.g., Hegetschweiler et al, 2020), as well as an updated framework for harvested wood products and substitution effects for carbon sequestration (FOEN, 2020), and (4) a revised MCDA framework allowing stakeholders to perform trade-off analyses under different management strategies and weighting preferences. Altogether, the new DSS provides a flexible and dynamic tool for strategic (i.e., long-term) planning of sustainable forest management under changing climatic conditions and political/strategic goals.…”
Section: Discussionmentioning
confidence: 99%
“…For carbon sequestration, the amount of carbon in living aboveground and belowground tree biomass was calculated using species-, region-and elevation-specific allometric equations from the Swiss National Forest Inventory (Didion et al, 2019;Herold et al, 2019), as well as deadwood originating from natural mortality and harvest residues. Using an adapted approach of Blattert et al (2018), furthermore carbon stored in three harvested wood product pools (sawnwood, wood-based panels, paper and paperboard, classification by UNFCCC, see IPCC, 2014a) as well as substitution effects were considered, with energy wood substituting fossil fuel emissions and construction wood substituting emissions by fossil-fuel intensive construction materials (e.g., concrete, steel) (Taverna et al, 2007).…”
Section: Bes Indicatorsmentioning
confidence: 99%