Tree structure and diversity shape the biomass of primary temperate mountain forests Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1016/j.fecs.2024.100215
Primary forests are spatially diverse terrestrial ecosystems with unique characteristics, being naturally regenerative and heterogeneous, which supports the stability of their carbon storage through the accumulation of live and dead biomass. Yet, little is known about the interactions between biomass stocks, tree genus diversity and structure across a temperate montane primary forest. Here, we investigated the relationship between tree structure (variability in basal area and tree size), genus-level diversity (abundance, tree diversity) and biomass stocks in temperate primary mountain forests across Central and Eastern Europe. We used inventory data from 726 permanent sample plots from mixed beech and spruce across the Carpathian Mountains. We used nonlinear regression to analyse the spatial variability in forest biomass, structure, and genus-level diversity and how they interact with plot-level tree age, disturbances, temperature and altitude. We found that the combined effects of genus and structural indices were important for addressing the variability in biomass across different spatial scales. Local processes in disturbance regimes and uneven tree age support forest heterogeneity and the accumulation of live and dead biomass through the natural regeneration, growth and decay of the forest ecosystem. Structural complexities in basal area index, supported by genus-level abundance, positively influence total biomass stocks, which was modulated by tree age and disturbances. Spruce forests showed higher tree density and basal area than mixed beech forests, though mixed beech still contributes significantly to biomass across landscapes. Forest heterogeneity was strongly influenced by complexities in forest composition (tree genus diversity, structure). We addressed the importance of primary forests as stable carbon stores, achieved through structure and diversity. Safeguarding such ecosystems is critical for ensuring the stability of the primary forest, carbon store and biodiversity into the future.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.fecs.2024.100215
- OA Status
- gold
- Cited By
- 5
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399700182
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399700182Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.fecs.2024.100215Digital Object Identifier
- Title
-
Tree structure and diversity shape the biomass of primary temperate mountain forestsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
-
Dheeraj Ralhan, Ruffy Rodrigo, Heather Keith, Annemiek I. Stegehuis, Jakob Pavlin, Yumei Jiang, Miloš Rydval, Juliana Nogueira, Alexandre Fruleux, Marek Svitok, Martin Mikoláš, Daniel Kozák, Martin Dušátko, Pavel Janda, Oleh Chaskovsky, Cătălin-Constantin Roibu, Miroslav SvobodaList of authors in order
- Landing page
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https://doi.org/10.1016/j.fecs.2024.100215Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.fecs.2024.100215Direct OA link when available
- Concepts
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Biomass (ecology), Temperate climate, Temperate rainforest, Tree (set theory), Temperate forest, Diversity (politics), Forestry, Forest structure, Geography, Ecology, Old-growth forest, Primary (astronomy), Agroforestry, Environmental science, Biology, Mathematics, Canopy, Ecosystem, Physics, Anthropology, Mathematical analysis, Sociology, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 3, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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68Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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