Switzerland

Lanz, Adrian; Abegg, Meinrad; Braendli, Urs-Beat; Camin, Paolo; Cioldi, Fabrizio; Ginzler, Christian; Fischer, Christoph

doi:10.1007/978-3-319-44015-6_43

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Germany and Finland used an angle count method [ 30 ], while other countries used a design with circular plots, either with a variable radius depending on the plot conditions, or with different radii with corresponding diameter thresholds. More information on the Finnish NFI can be found in [ 28 ], on the Swedish NFI in [ 31 ], on the Dutch NFI in [ 32 , 33 ], on the German NFI in [ 34 ], on the Irish NFI in [ 35 ], on the Swiss NFI in [ 36 ], on the Spanish NFI in [ 37 ] and on the Slovenian NFI in [ 38 ].…”

Section: Methodsmentioning

confidence: 99%

Actual European forest management by region, tree species and owner based on 714,000 re-measured trees in national forest inventories

et al. 2018

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BackgroundEuropean forests have a long record of management. However, the diversity of the current forest management across nations, tree species and owners, is hardly understood. Often when trying to simulate future forest resources under alternative futures, simply the yield table style of harvesting is applied. It is now crucially important to come to grips with actual forest management, now that demand for wood is increasing and the EU Land Use, Land Use Change and Forestry Regulation has been adopted requiring ‘continuation of current management practices’ as a baseline to set the Forest Reference Level carbon sink.MethodsBased on a large dataset of 714,000 re-measured trees in National Forest inventories from 13 regions, we are now able to analyse actual forest harvesting.ConclusionsFrom this large set of repeated tree measurements we can conclude that there is no such thing as yield table harvesting in Europe. We found general trends of increasing harvest probability with higher productivity of the region and the species, but with important deviations related to local conditions like site accessibility, state of the forest resource (like age), specific subsidies, importance of other forest services, and ownership of the forest. As a result, we find a huge diversity in harvest regimes. Over the time period covered in our inventories, the average harvest probability over all regions was 2.4% yr-1 (in number of trees) and the mortality probability was 0.4% yr-1. Our study provides underlying and most actual data that can serve as a basis for quantifying ‘continuation of current forest management’. It can be used as a cornerstone for the base period as required for the Forest Reference Level for EU Member States.

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Section: Methodsmentioning

confidence: 99%

Actual European forest management by region, tree species and owner based on 714,000 re-measured trees in national forest inventories

et al. 2018

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“…1). On each sample plot, trees ≥12 cm in diameter at breast height (DBH) were recorded on a 200 m 2 circle, trees ≥36 cm DBH on a 500 m 2 concentric circle and young trees < 12 cm DBH and ≥10 cm in height in two 14 m 2 satellite plots (Stierlin and Zinggeler 2001;Lanz et al 2016). The Swiss NFI differentiates five biogeographically and socio-economically distinct so-called production regions: Jura, Plateau, Pre-Alps, Alps, Southern Alps (Fig.…”

Section: Study Area and Datamentioning

confidence: 99%

Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis

et al. 2020

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Background: Scenario analyses that evaluate management effects on the long-term provision and sustainability of forest ecosystem services and biodiversity (ESB) also need to account for disturbances. The objectives of this study were to reveal potential trade-offs and synergies between ESB provision and disturbance predisposition at the scale of a whole country. Methods: The empirical scenario model MASSIMO was used to simulate forest development and management from years 2016 to 2106 on 5086 sample plots of the Swiss National Forest Inventory (NFI). We included a businessas-usual (BAU) scenario and four scenarios of increased timber harvesting. Model output was evaluated with indicators for 1) ESB provision including a) timber production, b) old-growth forest characteristics as biodiversity proxies and c) protection against rockfall and avalanches and 2) for a) storm and b) bark beetle predisposition. Results: The predisposition indicators corresponded well (AUC: 0.71-0.86) to storm and insect (mostly bark beetle) damage observations in logistic regression models. Increased timber production was generally accompanied with decreased predisposition (storm: >−11%, beetle: >−37%, depending on region and scenario), except for a scenario that promoted conifers where beetle predisposition increased (e.g. + 61% in the Southern Alps). Decreased disturbance predisposition and decreases in old-growth forest indicators in scenarios of increased timber production revealed a trade-off situation. In contrast, growing stock increased under BAU management along with a reduction in conifer proportions, resulting in a reduction of beetle predisposition that in turn was accompanied by increasing old-growth forest indicators. Disturbance predisposition was elevated in NFI plots with high avalanche and rockfall protection value. Conclusions: By evaluating ESB and disturbance predisposition based on single-tree data at a national scale we bridged a gap between detailed, stand-scale assessments and broader inventory-based approaches at the national scale. We discuss the limitations of the indicator framework and advocate for future amendments that include climate-sensitive forest development and disturbance modelling to strengthen decision making in national forest policy making.

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“…Double-sampling incorporates less expensive auxiliary information and can be used to either increase estimation precision under a fixed terrestrial sample size, or maintain estimation precision under reduced terrestrial sample size. Double-sampling procedures have already been used in various countries such as Canada [13], the USA [14], Switzerland [15], Italy [16] and Germany [17]. Recent studies from Grafström et al [18] illustrated how to use the auxiliary information to determine optimised balanced terrestrial sample designs.…”

Section: Introductionmentioning

confidence: 99%

A Double-Sampling Extension of the German National Forest Inventory for Design-Based Small Area Estimation on Forest District Levels

Hill

Mandallaz

Langshausen³

2018

Remote Sensing

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Abstract:The German National Forest Inventory consists of a systematic grid of permanent sample plots and provides a reliable evidence-based assessment of the state and the development of Germany's forests on national and federal state level in a 10 year interval. However, the data have yet been scarcely used for estimation on smaller management levels such as forest districts due to insufficient sample sizes within the area of interests and the implied large estimation errors. In this study, we present a double-sampling extension to the existing German National Forest Inventory (NFI) that allows for the application of recently developed design-based small area regression estimators. We illustrate the implementation of the estimation procedure and evaluate its potential for future large-scale operational application by the example of timber volume estimation on two small-scale management levels (45 and 405 forest district units respectively) over the entire area of the federal German state of Rhineland-Palatinate. An airborne laserscanning (ALS) derived canopy height model and a tree species classification map based on satellite data were used as auxiliary data in an ordinary least square regression model to produce the timber volume predictions. The results support that the suggested double-sampling procedure can substantially increase estimation precision on both management levels: the two-phase estimators were able to reduce the variance of the one-phase simple random sampling estimator by 43% and 25% on average for the two management levels respectively.

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Switzerland

Cited by 4 publications

References 8 publications

Actual European forest management by region, tree species and owner based on 714,000 re-measured trees in national forest inventories

Actual European forest management by region, tree species and owner based on 714,000 re-measured trees in national forest inventories

Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis

A Double-Sampling Extension of the German National Forest Inventory for Design-Based Small Area Estimation on Forest District Levels

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