Growing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation

Gschwantner, Thomas; Alberdi, Iciar; Bauwens, Sébastien; Bender, Susann; Borota, Dragan; Bošeľa, Michal; Bouriaud, Olivier; Breidenbach, Johannes; Donis, J.; Fischer, Christoph; Gasparini, Patrizia; Heffernan, Luke; Hervé, Jean-Christophe; Kolozs, László; Korhonen, Kari T.; Koutsias, Nikos; Kovácsevics, Pál; Kučera, Miloš; Kulbokas, Gintaras; Kuliešis, Andrius; Lanz, Adrian; Lejeune, Philippe; Lind, Torgny; Marin, Gheorghe; Morneau, François; Nord‐Larsen, Thomas; Nunes, Leónia; Pantić, Damjan; Redmond, John; Rego, Francisco; Riedel, Thomas; Šebeň, Vladimír; Sims, Allan; Skudnik, Mitja; Tomter, Stein Michael

doi:10.1016/j.foreco.2021.119868

Cited by 49 publications

(30 citation statements)

References 128 publications

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“…However, among the studied stand variables, the closest correlation, especially for stand AGB and BGB portions, was found with growing stock. It is not surprising that the growing stock volume is the most commonly used variable converted into estimates of above-and below-ground woody biomass, as the volume of growing stock is reported as one of the most important forest characteristics monitored by NFIs to quantify wood resources [8]. Methods to estimate growing stock differ by country, with growing stock definitions and calculation methods differing due to country-specific conditions, justifying the need for national stand-level equations.…”

Section: Discussionmentioning

confidence: 99%

“…National Forest Inventory (NFI) data are the main source of information for international programs and statistics, such as the Forest Resource Assessment Program for the Food and Agriculture Organization (FAO) and the national greenhouse gas inventory report for the Land Use, Land-Use Change, and Forestry sector under the United Nations Framework Convention on Climate Change. The importance of NFI data in estimating forest biomass and carbon stocks is widely accepted and recognized [3,8,9]. Allometric relationships between above-and below-ground biomass components and stand characteristics are highly variable by species, stand growing stock [10][11][12], stand age [9][10][11][12][13], aridity [10], site [14,15], and other factors [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Species Composition Affects the Accuracy of Stand-Level Biomass Models in Hemiboreal Forests

Liepiņš

Lazdiņš

Kalēja

et al. 2022

Land

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Various tree species contribute differently to total biomass stock, making the development of species-specific stand-level equations critical for better estimation of forest biomass and quantification of carbon stocks. Previously derived dry weight biomass models did not assess the effect of dominant species composition according to stand growing stock. Growing stock definitions and forest species composition differ by country, justifying the need for national stand-level biomass equations. We explored the relationship between growing stock volume and stand biomass density of above- and below-ground components in six common forest categories in Latvia using plot-level data from the National Forest Inventory from 2016 to 2020. Additionally, we explored model dependence on region, forest type, and species composition index. Models that considered growing stock and dominant species composition index performed better than models with growing stock as the only variable, especially for heterogeneous deciduous forests with greater species diversity. The elaborated models are a useful alternative to individual-level assessment for estimating forest biomass stocks in circumstances where individual tree data are not available.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Species Composition Affects the Accuracy of Stand-Level Biomass Models in Hemiboreal Forests

Liepiņš

Lazdiņš

Kalēja

et al. 2022

Land

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“…The lack of European integration in NFI-based information (Table 1, criticism C1 across space) has been acknowledged for around 20 years now, and is at the very origin of a substantial pan-European harmonization effort, especially funded by the EU, and initiated by COST actions E43 (https://www.cost.eu/actions/E43/ ; Tomppo et al 2010) and FP1001 (https://www.cost.eu/actions/ FP1001/; Vidal et al 2016), and concretized in the Horizon H2020 project Diabolo (http://diabolo-project.eu), as recalled in ENFIN (2021) communication. The main achievements of this (still) ongoing process concern the adoption of common forest definitions (e.g., forest area, Vidal et al 2008, Ståhl et al 2012, Vidal et al 2016) and of key forest variables (e.g., forest growing stock, Gschwantner et al 2022), suggesting that NFI programs are indeed on the right track (Table 1).…”

Section: European Harmonization In Nfi Surveys: Achievements and Gapsmentioning

confidence: 99%

Offering the appetite for the monitoring of European forests a diversified diet

Bontemps

Bouriaud

Vega

et al. 2022

Annals of Forest Science

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Key message Forest monitoring in Europe is turning matter of renewed political concern, and a possible role for ICP Forests health monitoring has been suggested to meet this goal (Ann For Sci 78:94, 2021). Multipurpose national forest inventory (NFI) surveys yet offer a sampling effort by two orders of magnitude greater than ICP level 1, have accomplished substantial methodological and harmonization progresses in the recent years, and therefore form a decisive contributor to future European forest monitoring incentives. Possible paths for the future development of a pan-European, comprehensive and more accurate monitoring are designed that stress a crucial need to build on the assets of the existing forest monitoring programs and favor their cooperation, in order to limit the co-existence of distinct forest monitoring processes.

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“…Even within a country such site differences are visible (Section 4.12). Furthermore, the definition of growing stock varies per country, causing deviations of up to 12.5% compared to reference definitions (Gschwantner et al 2022).…”

Section: Lessons Learnedmentioning

confidence: 99%

EFISCEN-Space 1.0 model documentation and manual

Schelhaas

Hengeveld

Filipek

et al. 2022

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This research was funded by numerous national and international projects. These include several Framework Programmes from the European Commission: MOTIVE ( 226544), Carbo Europe (GOCE-CT-2003-505572), ALTERFOR (676754), SIMWOOD (613762), VERIFY (776810), TreeMort (758873), HoliSoils (101000289), ForestPaths (101056755), Superb (101036849) and RESONATE (101000574), as well as the project FORCLIMIT, funded through the FACCE ERA-GAS Horizon 2020 through grant 696356 from Netherlands' Ministry of Research. Additional funding was received from various projects under the Knowledge Base programmes of the Dutch Ministry of Agriculture, Nature and Food Security, including the projects "Sustainable lignocellulosic biomass supply for the circular biobased economy (KB-34-012-002)" and "Negative GHG emissions and long-time sequestration (C fixation) through development of new C-based products (KB-34-012-001)", and as co-funding of various of the aforementioned EU projects.

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Growing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation

Cited by 49 publications

References 128 publications

Species Composition Affects the Accuracy of Stand-Level Biomass Models in Hemiboreal Forests

Species Composition Affects the Accuracy of Stand-Level Biomass Models in Hemiboreal Forests

Offering the appetite for the monitoring of European forests a diversified diet

EFISCEN-Space 1.0 model documentation and manual

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