Swiss NFI at a Glance

Brändli, Urs-Beat; Hägeli, Martin

doi:10.1007/978-3-030-19293-8_1

Cited by 11 publications

(6 citation statements)

References 8 publications

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“…Belgium (Wallonia) applies the Pressure-State-Response Model [50,51]. The MEDMONT System [52,53] is the basis for the quite extensive Greek indicator system, and the Cockpit Model [54] is applied in Switzerland for their large number of indicators.…”

Section: Model-based Elaborationmentioning

confidence: 99%

National Implementation of the Forest Europe Indicators for Sustainable Forest Management

Linser

Wolfslehner

2022

Forests

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The development of criteria and indicators (C&I) to generate information about the status quo and measure changes in sustainable forest management (SFM) has become ever more important. Forest Europe has developed C&I as a policy instrument to monitor and report about SFM. Forest Europe signatories considered the definition of SFM and related C&I as the most recognized achievements of the process. The results of our survey verify this statement. C&I for SFM are implemented at the national level in half of the Forest Europe signatory countries. C&I have served as a structure and framework for the national derivations. Our results confirm the importance of C&I for monitoring and reporting on the status and trend of forests and forestry in Europe. However, Forest Europe has failed so far to go beyond description toward target-based assessments. This was originally not envisaged for the indicators but is increasingly requested by decision-makers and stakeholders. The future development of indicators for SFM should focus on their appropriateness for the assessment of objectives, goals, or targets, because the ability to monitor the respective national efforts has become a critical tool of international but also national governance.

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Section: Model-based Elaborationmentioning

confidence: 99%

National Implementation of the Forest Europe Indicators for Sustainable Forest Management

Linser

Wolfslehner

2022

Forests

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“…In europäischen Urwäldern werden deutlich mehr Giganten festgestellt: In den serbischen montanen Buchenbeständen von Kukavica lagen die Werte zwischen 2 und 16 Stück/ha (Leibundgut 1982), im grössten europäischen Buchenurwald Uholka-Schyrokyj Luh in den ukrainischen Karpaten wurden durchschnittlich 10 Giganten/ha gefunden (Commarmot et al 2013) und in einem slowakischen Fichten-Tannen-Buchenurwald lag die Gigantendichte bei 16 Stück/ha (Nilsson et al 2002). (Brändli 2001).…”

Section: Altbestände Starkholz Und Gigantenunclassified

“…Dass er in den Reservaten nicht tiefer ist als im übrigen Wald, kann daran liegen, dass einige Wälder noch nicht lange unter Schutz stehen und noch weit entfernt von Naturwäldern sind. Auch der Anteil naturnaher Laub-und Nadelwälder ist in vielen Reservaten kleiner, als Expertenmodelle für eine naturnahe Baumartenmischung(Brändli 2001) vorgeben. Die Naturwaldreservate wie auch die Sonderwaldreservate sind aber naturnaher aufgebaut als der übrige Wald.…”

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Biodiversität im Schweizer Wald

2020

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Forum für Wissen 2020Das Forum für Wissen ist eine Veranstaltung, die von der Eidg. Forschungsanstalt für Wald, Schnee und Landschaft WSL durchgeführt wird. Aktuelle Themen aus den Arbeitsgebieten der Forschungsanstalt werden vorgestellt und diskutiert. Neben Referenten von der WSL können auswärtige Fachleute beigezogen werden. Gleichzeitig zu jeder Veranstaltung «Forum für Wissen» erscheint eine auf das Thema bezogene Publikation in der Reihe WSL Berichte. Alle Beiträge wurden von zwei Fachpersonen begutachtet.

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“…National Forest Inventories (NFIs) were initially set up to provide statistically reliable estimates of timber-related resources to stakeholders such as politicians, ecologists, forest services and the timber industry, and to national and international organizations and projects. Since the importance and demand for quantitative information on aspects of biodiversity are growing, NFIs have gradually included attributes of structural diversity (Storch et al 2018 ; Brändli and Hägeli 2019 ), species richness and species composition, which are highly relevant for reporting biodiversity indicators (FOREST EUROPE 2015 ). Their long history (Norway’s NFI just celebrated its 100th birthday with a conference; NIBIO 2019 ) means that they have produced long-term data series on biodiversity.…”

Section: Introductionmentioning

confidence: 99%

Analysing the quality of Swiss National Forest Inventory measurements of woody species richness

Traub

Wüest

2020

For. Ecosyst.

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Background: Under ongoing climate and land-use change, biodiversity is continuously decreasing and monitoring biodiversity is becoming increasingly important. National Forest Inventory (NFI) programmes provide valuable timeseries data on biodiversity and thus contribute to assessments of the state and trends in biodiversity, as well as ecosystem functioning. Data quality in this context is of paramount relevance, particularly for ensuring a meaningful interpretation of changes. The Swiss NFI revisits about 8%-10% of its sample plots regularly in repeat surveys to supervise the quality of fieldwork. Methods: We analysed the relevance of observer bias with equivalence tests, examined data quality objectives defined by the Swiss NFI instructors, and calculated the pseudo-turnover (PT) of species composition, that is, the percentage of species not observed by both teams. Three attributes of woody species richness from the latest Swiss NFI cycles (3 and 4) were analysed: occurrence of small tree and shrub species (1) on the sample plot and (2) at the forest edge, and (3) main shrub and trees species in the upper storey. Results: We found equivalent results between regular and repeat surveys for all attributes. Data quality, however, was significantly below expectations in all cases, that is, as much as 20%-30% below the expected data quality limit of 70%-80% (proportion of observations that should not deviate from a predefined threshold). PT values were about 10%-20%, and the PT of two out of three attributes decreased significantly in NFI4. This type of uncertaintytypically caused by a mixture of overlooking and misidentifying speciesshould be considered carefully when interpreting change figures on species richness estimates from NFI data. Conclusions: Our results provide important information on the data quality achieved in Swiss NFIs in terms of the reproducibility of the collected data. The three applied approaches proved to be effective for evaluating the quality of plot-level species richness and composition data in forest inventories and other biodiversity monitoring programmes. As such, they could also be recommended for assessing the quality of biodiversity indices derived from monitoring data.

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Swiss NFI at a Glance

Cited by 11 publications

References 8 publications

National Implementation of the Forest Europe Indicators for Sustainable Forest Management

National Implementation of the Forest Europe Indicators for Sustainable Forest Management

Biodiversität im Schweizer Wald

Analysing the quality of Swiss National Forest Inventory measurements of woody species richness

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