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7 results for “beech and oak forests”
The role of canopy cover dynamics over a decade of changes in the understory of an Atlantic beech-oak forest
<p>This dataset hosts the main data and R codes of the analyses carried out to study the role of canopy cover dynamics over a decade of changes in the understory of an Atlantic Beech-Oak forest. We measured changes in understory taxonomical and functional composition, richness and diversity between 2006 and 2016, and relate those changes to changes in canopy coverage between both years.</p> <p>The data show changes between 2006 and 2016 in the species abundance, richness and diversity of 102 understory communities, and in the functional composition, richness and diversity for five functional traits (Leaf dry matter content, Specific leaf area, Leaf size, Plant height and Seed mass). Changes in canopy coverage between 2006 and 2016 were studied as an explanatory variable.</p> <p>The R codes show the main analyses carried out in the study: 1) The calculation of the functional composition, richness and diversity of the five traits studied (Leaf dry matter content, Specific leaf area, Leaf size, Plant height and Seed mass), 2) a Dunnett's modified Tukey-Kramer test used to test for significant relationships between four plot categories defined according to the presence or absence of canopy gaps (no gaps, gap closure, gap opening and gap persistence) and changes in the taxonomical and functional composition and diversity of the understory from 2006 to 2016. 3) An Indicator Species Analysis used to study the species that were indicators of gap opening or closure in the Atlantic Beech-Oak forest studied. 4) The calculation of the Standardized Effect Size for the functional traits of the indicator species, used to see if the species selected as gap indicators shared similar values of functional traits and had values significantly different from non-indicator species.</p>
The role of canopy cover dynamics over a decade of changes in the understory of an Atlantic beech-oak forest
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Limited sink but large storage: biomass dynamics in naturally developing beech (Fagus sylvatica) and oak (Quercus robur, Quercus petraea) forests of northwestern Germany
<p>1. Currently, the dynamics underlying the storage and acquisition of biomass, and thus carbon, in naturally developing forests are under debate. A better understanding of the biomass dynamics of forests is needed to clarify the role played by naturally developing forests in the mitigation of climate change.</p> <p>2. Long-term monitoring data from unmanaged strict forest reserves (SFRs) in northwestern Germany were used to analyze the biomass dynamics of pure beech, mixed beech, and mixed oak forests. A complete balance of aboveground woody biomass (biomass) and growth, density-dependent and -independent mortality, as well as deadwood decay was derived. Density-independent mortality served as a proxy for disturbance severity.</p> <p>3. After a time of abandonment (TSA) of 50 years, the average biomass ranged between 334 t ha-1 in mixed oak and 478 t ha-1 in pure beech stands. The net change in biomass was positive in all forest types. Density-independent mortality and decay rates were much lower than the growth rates. Pure beech forests reached higher levels of biomass, a higher net change in biomass, and more growth than either of the mixed forest type. Biomass increased linearly with TSA in pure beech stands but followed an asymptotic course in the mixed forests. In the latter, the net change in biomass and growth were consistent with a unimodal development pattern. The development of biomass could not be explained by the aging of the tree communities.</p> <p>4. Synthesis: We hypothesized that the observed biomass dynamics is a result of the interaction between resource supply within a limited growing space and the resource-use efficiency of the tree stand in conjunction with disturbances. The still-linear increase in the biomass of pure beech forests was assumed to reflect the high resource-use efficiency of beech, especially its use of light. The aboveground capacity of naturally developing broadleaved forests to store and acquire biomass, and thus carbon, is substantial. Accordingly, allowing broadleaved forests to develop naturally can contribute substantially to carbon storage and sequestration. However. our study also suggests that the aboveground carbon sink decreases after several decades.</p>
Limited sink but large storage: biomass dynamics in naturally developing beech (Fagus sylvatica) and oak (Quercus robur, Quercus petraea) forests of northwestern Germany
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Supplementary material 3 from: Szamosvári E, Nagy L, Konrad H, Móricz N, Weißenbacher L, Bálint A, Neuvirthné Bilics A, van Loo M (2023) Bilateral cooperation - Fostering the ability of native European beech and sessile oak forests in the border region against the impacts of climate change. Research Ideas and Outcomes 9: e109816. https://doi.org/10.3897/rio.9.e109816
Experimental trial design near Sparbach, NÖ, AT
Supplementary material 2 from: Szamosvári E, Nagy L, Konrad H, Móricz N, Weißenbacher L, Bálint A, Neuvirthné Bilics A, van Loo M (2023) Bilateral cooperation - Fostering the ability of native European beech and sessile oak forests in the border region against the impacts of climate change. Research Ideas and Outcomes 9: e109816. https://doi.org/10.3897/rio.9.e109816
Experimental trial design near Reichenau an der Rax, NÖ, AT
Supplementary material 1 from: Szamosvári E, Nagy L, Konrad H, Móricz N, Weißenbacher L, Bálint A, Neuvirthné Bilics A, van Loo M (2023) Bilateral cooperation - Fostering the ability of native European beech and sessile oak forests in the border region against the impacts of climate change. Research Ideas and Outcomes 9: e109816. https://doi.org/10.3897/rio.9.e109816
Experimental trial design near Mannersdorf am Leithagebirge, NÖ, AT.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.