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310 results for “Tree growth”
Data from: Axial conduit widening, tree height and height growth rate set the hydraulic transition of sapwood into heartwood
<p><span>The size-related xylem adjustments required to maintain</span><span> a constant leaf-specific sapwood conductance (<em>K<sub>LEAF</sub></em>) with increasing height (<em>H</em>) are still under discussion. Alternative hypotheses are that: (i) the conduit hydraulic diameter (<em>Dh</em>) at any position in the stem and/or (ii) the number of sapwood rings at stem base (<em>NSWr</em>) increase with <em>H.</em> In addition, (iii) lower stem elongation (</span><em>Δ<span>H</span></em><span>) increases the tip-to-base conductance through inner xylem rings, thus possibly the <em>NSWr</em> contributing to <em>K<sub>LEAF</sub></em>.</span></p> <p><span>A detailed stem analysis showed that </span><em><span>Dh</span></em><span><em> </em>increased with the distance from the apex (<em>DCA</em>) in all rings of a <em>P. abies</em> and a <em>F. sylvatica</em> tree. Net of <em>DCA</em> effect, <em>Dh</em> did not increase with <em>H</em>. Using sapwood traits from a global dataset, <em>NSWr</em> increased with <em>H</em> and decreased with </span><em>Δ<span>H</span></em><span>, and the mean sapwood ring width (<em>SWrw</em>) increased with </span><em>Δ<span>H</span></em><span>. A numerical model based on anatomical patterns predicted the effects of <em>H</em> and </span><em>Δ<span>H</span></em><span> on the conductance of inner xylem rings.</span></p> <p><span>Results suggested the sapwood/heartwood transition depends on both <em>H</em> and </span><em>Δ<span>H</span></em><span>, and is set when the C allocation to maintenance respiration of living cells in inner sapwood rings produces a lower gain in total conductance than investing the same C in new vascular conduits.</span></p>
Neighbours matter and the weak succumb: chalara ash dieback infection is more severe in trees with fewer conspecific neighbours and lower prior growth rate
<p>The epidemiology and severity of ash dieback (ADB), the disease caused by the ascomycete fungus, <em>Hymenoscyphus</em> <em>fraxineus</em>, has been linked to a variety of site conditions, however, there has been a lack of analysis at an individual-tree scale. <br> <br>Symptoms of ADB were scored on ca. 400 trees of <em>Fraxinus</em> <em>excelsior</em> (ash) in permanent sample plots during two successive years in a UK natural woodland reserve. Using comprehensive plot records maintained since 1945, and detailed spatial records updated since 1977, we assembled an array of potential explanatory variables, including site environment factors, ash tree density, previous and present tree condition and near neighbourhood summary statistics (NNSS), such as species mingling and size dominance. Their impact on the severity of ADB of focal ash trees was tested with generalised linear mixed effects models (GLMM).<br> <br>The severity of ADB was much greater in the lower slope parts of the site with moister soils and least in a managed area subject to tree thinning in the previous 35 years. Severity of ADB had a negative association with focal ash tree prior relative growth rate over a period of a decade immediately before the disease was detected at the site. Greater ADB severity was also significantly associated with smaller diameter-at-breast-height of ash trees. Additionally, ADB was significantly positively associated with a greater proportion of heterospecific trees amongst the six nearest neighbours of the focal tree. <br> <br><em>Synthesis</em>. The relationship of the severity of ADB disease with site environment, tree condition and neighbourhood is complex but nevertheless important in the progression of the disease. The findings suggest some silvicultural interventions, such as thinning to increase the vigour of retained ash trees, might reduce the impact of ADB.</p>
Root functional traits and growth rates in savanna trees and grasses
<p>Root-based functional traits are relatively overlooked as drivers of savanna plant community dynamics, an important gap in water-limited ecosystems. Recent work has shed light on patterns of trait coordination in roots, but less is known about the relationship between root functional traits, water acquisition, and plant demographic rates. Here, we investigated how fine-root vascular and morphological traits are related in two dominant PFTs (C<sub>3</sub> trees and C<sub>4</sub> grasses from the savanna biome), whether root traits can predict plant relative growth rate (RGR), and whether root trait relationships differ in trees and grasses. We used root data from 21 tree and 18 grass species grown under greenhouse conditions, and quantified a suite of vascular and morphological root traits. We used a principal components analysis (PCA) to identify common axes of trait variation, compared trait correlation matrices between the two PFTs, and investigated the relationship between PCA axes and individual traits and RGR. We found that there was no clear single axis integrating vascular and morphological traits, but found that vascular anatomy predicted RGR in both trees and grasses. Trait correlation matrices differed in trees and grasses, suggesting potentially divergent patterns of trait coordination between the two functional types. Our results suggested that, despite differences in trait relationships between trees and grasses, root conductivity may constrain maximum growth rate in both PFTs, highlighting the critical role that water relations play in savanna vegetation dynamics and suggesting that root water transport capacity is an important predictor of plant performance in the savanna biome.</p>
Data from: Genotypic traits and tradeoffs of fast growth in silver birch, a pioneer tree
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Data from: Convergence and variation in tree growth trends at the aggregate level
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Data from: Biomass production of tropical trees across space and time: The shifting roles of diameter growth and wood density
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Including dynamics in the equation: Tree growth rates and host specificity of vascular epiphytes
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Data from: Negative density dependence in the mortality and growth of tropical tree seedlings is strong, and primarily caused by fungal pathogens
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Relative tree growth and mortality responses to the 2012 midwestern US drought in the central hardwood ecoregion
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Hotter drought and trade-off between fast and slow growth strategies as major drivers of tree-ring growth variability of global conifers
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Data from: Vegetation growth responses to climate change: A cross-scale analysis of biological memory and time-lags using tree ring and satellite data
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A higher tissue fraction of parenchyma in secondary xylem supports growth recovery of angiosperm trees after drought
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Two decades of annual landscape-scale tree growth and dynamics in old-growth tropical rainforest in the CARBONO Project, La Selva Biological Station, 1997-2018
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Species-specific water-use characteristics of trees in old-growth and secondary tropical forests of Thailand
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Exploring the role of genetic diversity and relatedness in tree seedling growth and mortality: a multi‐species study in a Bornean rain forest
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Data from: Individual-level trait variation and negative density dependence affects growth in tropical tree seedlings
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Data from: Winners and losers from climate change: An analysis of tree growth and survival responses to temperature and precipitation for roughly 150 species across the contiguous U.S.
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Combining climatic and genomic data improves range-wide tree height growth prediction in a forest tree
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Data from: Tree growth rate-mediated trade-off between drought resistance and recovery in the Northern Hemisphere
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Climate warming could free cold-adapted trees from C-conservative allocation strategy of storage over growth
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.