Interview Survey with the Local Forest Service

Fischer, Christoph; Fraefel, Marielle

doi:10.1007/978-3-030-19293-8_10

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…Inventory data from mixed forests were obtained by combining observations from three sources: the Swiss National Forest Inventory (NFI) (Fischer & Traub, 2019), the Experimental Forest Management (EFM) network (Forrester et al., 2021b), and the Swiss Natural Forest Reserves (NFR) (Hobi et al., 2020). The data cover a range of latitudes between 46.0° and 47.8°, longitudes between 6.12° and 10.5°, and elevations between 334 and 2,154 m a.s.l.…”

Section: Methodsmentioning

confidence: 99%

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Tree Growth Enhancement Drives a Persistent Biomass Gain in Unmanaged Temperate Forests

Marqués,

Weng,

Bugmann

et al. 2023

AGU Advances

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While enhanced tree growth over the last decades has been reported in forests across the globe, it remains unclear whether it drives persistent biomass increases of forest stands, particularly in mature forests. Enhanced tree growth and stand‐level biomass are often linked with a simultaneous increase in density‐driven mortality and a reduction in tree longevity. Identifying empirical evidence regarding the balance between these processes is challenging due to the confounding effects of stand history, management, and environmental changes. Here, we investigate the link between growth and biomass via the negative relationship between average tree size and stand density (tree number per area). We find increasing stand density for a given mean tree size in unmanaged closed‐canopy forests in Switzerland over the past six decades and a positive relationship between tree growth and stand density across forest plots—qualitatively consistent with our simulations using a mechanistic, cohort‐resolving ecosystem model (BiomeE). Model simulations show that, in the absence of other disturbances, enhanced tree growth persistently increases biomass stocks despite simultaneous decreases in carbon residence time and tree longevity. However, the magnitude of simulated biomass changes for a given growth enhancement critically depends on the shape of the mortality functions. Our analyses reconcile reports of growth‐induced reductions of tree longevity with model predictions of persistent biomass increases, and with our finding of trends toward denser forests in response to growth—also in mature stands.

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Section: Methodsmentioning

confidence: 99%

“…(2017). The NFI data set provided biomass estimates following the methodology described in Fischer and Traub (2019). For these plots, biomass is calculated from the estimated volume of the living trees based on species‐specific wood densities.…”

Section: Methodsmentioning

confidence: 99%

Tree Growth Enhancement Drives a Persistent Biomass Gain in Unmanaged Temperate Forests

Marqués,

Weng,

Bugmann

et al. 2023

AGU Advances

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“…Despite the immediate interest in five‐ or ten‐year periodicity for international forest reporting, dividing surveys into ten or five interpenetrating and complementary fractions is far less obvious. Examples of large‐scale forest surveys implementing panel fractionation that do not meet these typical periodicity constraints include the NFIs of Romania (four annual panels, Bouriaud et al, 2020) and Switzerland (nine annual panels, Fischer & Traub, 2019).…”

Section: Homothetic Properties Of a Square Grid: A Basis For Survey S...mentioning

confidence: 99%

Square‐grid sampling support to reconcile systematicity and adaptivity in periodic spatial surveys of natural populations

Bouriaud

Morneau²,

Bontemps

2023

J Vegetation Science

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Aims Spatially balanced sampling is the most efficient method for surveying continuous and spatially structured populations. The spatial sampling of large‐scale surveys is mostly based on grids whose properties drive and potentially limit the possibility of building flexible samples. Periodicity causes high sampling constraints when an increase in the frequency of information delivery is sought. The sampling stratification of the adaptive sampling intensity also conflicts with the grid‐based approach. Although some surveys seemingly exploit these properties, no formal developments have been made available in the survey sampling literature across the fields of application. Methods We define and demonstrate the geometric properties of square grids, demonstrate how they can be used to produce nested hierarchical grids compatible with multiple periodicity values of interest for natural monitoring, and adapt the sampling intensity across space and time. A simulation study was conducted to quantify how spatial balance can be traded slowly for sample size reduction. Results We showed that square grids have geometric properties that can be exploited to cope with spatial flexibility in the sampling effort and the spatiotemporal coordination of samples. We also provide an original extension of this framework intended to tune the sampling effort gradually while preserving spatial systematicity. The simulation study showed that a nested hierarchical grid can be used to progressively reduce the sampling intensity while preserving regularity in the spatial arrangement of units. Conclusions We demonstrate the flexibility and diversity of sampling schemes that can be implemented with square grids, answering the need for periodicity and the coordination of multiple samples and the limits of their use.

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“…In a second step, the potential routes from the landings out of the forest were analysed by network analysis. The endpoints of the transportation route-referred to as "connection points"-were defined as the points where the route reaches the superordinate road network, that is, a road that can be used by the largest truck type considered in the study at any time (5 axle trucks with 40 t total weight), as determined in the interview survey of the Swiss NFI (Fischer and Fraefel 2019). Since the use of a larger truck reduces the number of trips necessary to transport a certain volume of wood (Table 2), and therefore hauling costs, we minimised the distance between a landing and the nearest connection point while maximising truck size.…”

Section: Accessibility Analysismentioning

confidence: 99%

Spatially explicit assessment of forest road suitability for timber extraction and hauling in Switzerland

2021

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Efficient forest management, and wood production in particular, requires a forest road network of appropriate density and bearing capacity. The road network affects the choice of a suitable extraction method and the length of the transport route from the forest, while the road standard defines the truck type that can be used.We evaluate the forest road network’s economic suitability for harvesting operations in the entire Swiss forest, an area of about 13,000 km2 covering a range of topographies, based on the Swiss National Forest Inventory’s (NFI) forest road dataset. This dataset is based on information from an interview survey with the local forest services and includes all forest roads in Switzerland capable of carrying trucks. Extraction options and hauling routes are analysed together; thus, the entire logging process is examined.Model results include maps of the most suitable extraction method; extraction costs; hauling costs; and a suitability map based on a combination of the results. While the larger part of the Swiss forest is classified as “suitable” for economic harvesting operations, significant portions also fall into the “limited suitability” and “not suitable” categories. Our analysis provides an objective, country-wide, spatially explicit assessment of timber accessibility. The resulting suitability map helps identify areas where timber harvesting is economic using the current forest road network, and where it is not. The model results can be used in road network planning and management, for example, by comparing road-network re-design scenarios, and compared to the spatial distribution of available wood volume.

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Interview Survey with the Local Forest Service

Cited by 4 publications

References 1 publication

Tree Growth Enhancement Drives a Persistent Biomass Gain in Unmanaged Temperate Forests

Tree Growth Enhancement Drives a Persistent Biomass Gain in Unmanaged Temperate Forests

Square‐grid sampling support to reconcile systematicity and adaptivity in periodic spatial surveys of natural populations

Spatially explicit assessment of forest road suitability for timber extraction and hauling in Switzerland

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