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273 results for “leaf traits”
Incorporating pressure-volume traits into the leaf economics spectrum
<p>Dataset associated with the article '<em>Incorporating pressure-volume traits into the leaf economics spectrum</em>' (Nadal et al. 2023 [<em>Eco Lett</em>, accepted]). We provide theoretical and empirical evidence for the coordination of the turgor loss point and associated pressure-volume traits (osmotic potential at full turgor, leaf capacitance, leaf elasticity, leaf saturated water content, modulus of elasticity) with photosynthesis (light-saturated net CO<sub>2</sub> assimilation) and leaf mass per area (LMA) and its two components (leaf thickness and density). The complete dataset comprehends a total of 45 data entries from 37 species, including ferns and angiosperms (woody and herbaceous species), most of them measured on the campus of University of the Balearic Islands; this complements the data presented in Nadal et al. (2018 [<em>Eco Lett</em> 21 (9), 1372-1379]). For the 20 species from Nadal et al. (2018), we also provide data regarding their N and C content, leaf anatomy (from optical and TEM images) and cell wall composition.</p>
Data for: Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study
<p><span>Mungbean (<em>Vigna radiata</em> (L) Wizcek) is an important pulse crop, increasingly used as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in human diets. Mungbean is a dicot plant with trifoliate leaves. Leaves are central to various plant processes like photosynthesis, light interception, and overall canopy structure. The objectives were to study leaf morphological traits, use image analysis to extract leaf traits from images from the Iowa Mungbean Diversity (IMD) panel, develop a regression model for the prediction of leaflet area, and conduct association mapping for leaf morphological traits. We collected more than 5000 leaf images of the IMD panel consisting of 484 accessions over two years (2020 and 2021) with two replications per experiment. Leaf traits were extracted using image analysis, analyzed, and used for association mapping. Morphological diversity included leaflet type (oval or lobed), leaflet size (small, medium, large), lobed angle (shallow, deep), and vein coloration (green, purple). A regression model was developed to predict each ovate leaflet's area (adjusted R<sup>2</sup> = 0.97; residual standard errors of <= 1.10). The candidate genes <em>Vradi01g07560</em>, <em>Vradi05g01240</em>, <em>Vradi02g05730</em>, and <em>Vradi03g00440</em>, are associated with multiple traits (length, width, perimeter, and area) across the leaflets (left, terminal, and right). These are suitable candidate genes for further investigation in their role in leaf development, growth, and function. Future studies will be needed to correlate the observed traits discussed here with yield or important agronomic traits for use as phenotypic or genotypic markers in marker-aided selection methods for mungbean crop improvement.</span></p>
Variation and association of leaf traits for desert plants in the arid area, northwest China
<p><span>Characterizing variation and association of plant traits is critical for understanding plant adaptation strategies and community assembly mechanisms. However, little is known about the leaf trait variations of desert plants and their association with different life forms. We used principal component analysis, Pearson's correlation, phylogenetic independent contrasts, linear mixed model, and variance decomposition to explore the variation and association of 10 leaf traits in 22 desert plants in the arid area of northwest China. We found that: (1) the contribution of interspecific variation to the overall variation was greater than the intraspecific variation of all the studied leaf traits; (2) intraspecific and interspecific variation in leaf traits differed among life forms. Some leaf traits, such as tissue density of shrubs and specific leaf area of herbs, exhibited greater intraspecific than interspecific variation, while other traits exhibited the inverse; (3) desert shrubs corroborate the leaf economic spectrum hypothesis and had a fast acquisitive resource strategy, but herbs may not conform to this hypothesis; (4) there were trade‐offs between leaf traits, which were mediated by phylogeny. Overall, our results suggest that interspecific variation of leaf traits significantly contributes to the total leaf traits variation in desert plants. However, intraspecific variation should not be overlooked. There are contrasts in the resource acquisition strategies between plants life forms. Our results support understanding of the mechanisms underlying community assembly in arid regions and suggest that future works may focus on the variation and association of plant traits at both intra‐ and interspecific scales.</span></p>
Leaf angle as a leaf and canopy trait: Rejuvenating its role in ecology with new technology
<p>Life on Earth depends on the conversion of solar energy to chemical energy by plants through photosynthesis. A fundamental challenge in optimizing photosynthesis is to adjust leaf angles to efficiently use the intercepted sunlight under the constraints of heat stress, water loss, and competition. Despite the importance of leaf angle, until recently, we have lacked data and frameworks to describe and predict leaf angle dynamics and their impacts from leaves to the globe. We review the role of leaf angle in studies of ecophysiology, ecosystem ecology, and earth system science and highlight the essential yet understudied role of leaf angle as an ecological strategy to regulate plant carbon-water-energy nexus and to bridges leaf, canopy, and earth system processes. Using two models, we show that leaf angle variations have significant impacts on not only canopy-scale photosynthesis, energy balance, and water use efficiency but also light competition within forest canopy. New techniques to measure leaf angles are emerging, opening opportunities to understand the rarely-measured intraspecific, interspecific, seasonal, and interannual variations of leaf angles and their implications to plant biology and earth system science. We conclude by proposing three directions for future research.</p>
Effects of long-term mowing on leaf- and root-associated bacterial community structures are linked to functional traits in 11 plant species from a temperate steppe
<ol> <li><span>Long-term mowing can cause morphological stuntedness of plants, thus reducing grassland productivity and exacerbating grassland degradation. Although plant microbiomes can enhance plant resistance against disturbance, considerable uncertainty exists regarding how mowing and mowing-induced plant trait plasticity affect plant microbiomes in natural grasslands. </span></li> <li><span>Here we examined the responses of leaf-/root-associated bacterial (LAB/RAB) communities of 11 dominant herbaceous perennials (6 replicates per species) to a 17-year mowing treatment in a temperate grassland. We also measured leaf/root physiological and morphological traits and analyzed the relationships among mowing practice, bacterial community structures, and leaf/root trait parameters. </span></li> <li><span>We found that both leaf and root functional traits showed interspecific variations (variations across different plant species), while only the leaf traits exhibited intraspecific variation (treatment-induced variations within plant species) between the treatments. Similarly, the LAB community structure was more sensitive to mowing but less influenced by host species identity, compared to the RAB community. The RAB community structure was primarily shaped by host species identity, while mowing was a secondary influencing factor. </span></li> <li> <span>The different patterns of LAB and RAB communities in response to mowing could be specifically explained by the inter-/intraspecific variations of the related leaf and root traits. The LAB community was strongly correlated with the leaf traits which exhibited mowing-induced plasticity (intraspecific variation), with the correlations with nitrogen resorption efficiency and aboveground dry weight being the greatest. The root traits were important indicators of bacterial community structure in the root compartment across the hosts, rather than between the treatments. Root tissue density</span> <span>showed the strongest interspecific variation, and was identified as an overwhelming driver of the RAB community. The shifts in LAB/RAB communities under mowing were largely attributed to the increased proportions of Actinobacteria. The high mowing sensitivity of the LAB community was associated with the enrichment of soil-derived Actinobacteria in leaves under mowing. Actinobacteria were also the main keystone taxa in the bacterial community networks under mowing.</span> </li> <li><span>Our results demonstrate that the magnitude of plant-associated microbial community response to long-term mowing is plant compartment- and trait-variation-dependent, and advance our understanding of the leaf/root microbiome-trait relationships in complex plant communities.</span></li> </ol>
Leaf traits of understory woody species in the Congo Basin forests changed over a 60 years period
<p>Data collected in Yangambambi (DR Congo) and used to prepare the article accepted for publication in the journal Plant Ecology and Evolution. </p>
Functional traits and drought strategy predict leaf thermal tolerance
<p>Heat stress imposes an important physiological constraint on native plant species – one that will only worsen with human-caused climate change. Indeed, rising temperatures have already contributed to large-scale plant mortality events across the globe. These impacts may be especially severe in cities, where the urban heat island effect amplifies climate warming. Understanding how plant species will respond physiologically to rising temperatures and how these responses differ among plant functional groups is critical for predicting future biodiversity scenarios and making informed land management decisions. In this study, we evaluated the effects of elevated temperatures on a functionally and taxonomically diverse group of woody native plant species in a restored urban nature preserve in southern California using measurements of chlorophyll fluorescence as an indicator of leaf thermotolerance. Our aim was to determine if species' traits and drought strategies could serve as useful predictors of thermotolerance. We found that leaf thermotolerance differed among species with contrasting drought strategies, and several leaf-level functional traits were significant predictors of thermotolerance thresholds. Drought deciduous species with high specific leaf area, high rates of transpiration, and low water-use efficiency were the most susceptible to heat damage, while evergreen species with sclerophyllous leaves, high relative water content, and high water-use efficiency maintained photosynthetic function at higher temperatures. While these native shrubs and trees are physiologically equipped to withstand relatively high temperatures in this Mediterranean-type climate, hotter conditions imposed by climate change and urbanization may exceed the tolerance thresholds of many species. We show that leaf functional traits and plant drought strategies may serve as useful indicators of species' vulnerabilities to climate change, and this information can be used to guide restoration and conservation in a warmer world.</p>
Data from: Leaf trait variation within individuals mediates the relationship between tree species richness and productivity
<p>This dataset contains tree biometry data and leaf trait data of the Kreinitz Tree Diversity Experiment. In winter 2013/14 and winter 2016/17, height and basal area were measured for all 2880 individuals of the Kreinitz experiment. Tree biometry data is available in the file Data_Kreinitz_Tree.xlsx. In summer 2017, leaf traits for 283 selected trees were measured via near-infrared spectroscopy. For each tree, samples were taken from approximately 3 levels in the trees' crown (total 843 levels). At each level, approximately 4 leaves were harvested (total 3656 leaves) and scanned in triplicates (total 10986 scans). Sampled leaves were scanned on the day of harvest.<br>Leaf trait data is available in the file Data_Kreinitz_Leaf.xlsx.</p>
Data from: Addition of nitrogen to canopy versus understory has different effects on leaf traits of understory plants in a subtropical evergreen broad–leaved forest
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Data for the article: Coupling of leaf elemental traits with root fungal community composition reveals a plant resource acquisition strategy in a desert ecosystem
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Leaf architecture and functional traits for 122 species at the University of California at Berkeley botanical garden
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Interspecific variation in leaf phenology and its relationship with plant traits in a seasonal tropical forest
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Below-ground root nutrient-acquisition strategies are more sensitive to long-term grazing than above-ground leaf traits across a soil nutrient gradient
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Data from: Trading water for carbon in the future: effects of elevated CO2 and warming on leaf hydraulic traits in a semiarid grassland
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Data from: Testing prerequisites to adaptation in Quercus agrifolia: Are leaf domatia a heritable trait?
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Data from: Community-level trait variation of epiphytic bryophytes supports trade-off aligned with leaf-economic spectrum in vertically stratified tropical montane cloud forest canopies
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Linking leaf economic traits with forage quality across temperate grasslands under ambient and drought conditions
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Root trait responses to drought are more heterogeneous than leaf trait responses
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Vertical stratification of leaf physical traits exerts bottom-up pressures on insect herbivory in a sugar maple temperate forest
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Leaf resistance traits influence endophytic fungi colonization and community composition in a South American temperate rainforest
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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.