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691 results for “plant traits”
Invasive earthworms can change understory plant community traits and reduce plant functional diversity
<p>Datasets and R script</p>
Dataset from: Parapatric and sympatric adaptation of Setaria viridis populations in Japan to heterogeneous coastal habitats via trait divergence of plant form, salt spray tolerance and flowering time
<p>This study aimed to determine how coastal variants of<em> </em>plants arise from local populations under natural selection by studying variations in phenotypic variations and survival of <em>Setaria viridis</em> populations inhabiting mosaic environments of two seashores in Japan. <em>S.viridis</em> populations comprised five coastal variants showing significantly higher salt spray tolerance than the inland variant: ST, short and tolerant (common variant); TM, tall and mid-tolerant (Inland Sea); TT, tall and tolerant; PT, prostrate and tolerant; L, extremely late flowering; I, inland and susceptible variants. These variations imply that maritime plants first acquired salt spray tolerance for survival, after which compact plants evolved in habitats where strong winds caused damage from salt spray. Results indicate that diverse intensities of salt spray and winds as well as summer drought generated various coastal variations in parapatry and sympatry.</p>
Unprocessed PROSAIL-generated datasets of plant functional traits with associated spectra
Open the record for dataset details and reuse information.
Leaf traits and leaf-to-air temperature differences in tropical plants suggest variability in thermoregulatory capacities across elevations
<p>Understanding thermoregulation in plants is critical to predicting the consequences of global warming on terrestrial ecosystems. I present empirical evidence that leaf traits and leaf-to-air temperature differ among plants from a tropical elevation gradient. These findings suggest the existence of specific plant adaptations for thermoregulation across varying elevational zones.</p>
Stoichiometric traits (N:P) of understory plants contribute to reductions in plant diversity following long-term nitrogen addition in subtropical forest
<p>Nitrogen enrichment is pervasive in forest ecosystems, but its influence on understory plant communities and their stoichiometric characteristics is poorly understood. We hypothesize that when forest is enriched with nitrogen (N), the stoichiometric characteristics of plant species explains changes in understory plant diversity. A 13 year field experiment was conducted to explore the effects of N addition on foliar carbon (C): N: phosphorus (P) stoichiometry and understory plant species richness in a subtropical Chinese fir forest. Four levels of N addition were applied: 0, 6, 12, and 24 g m<sup>-2</sup> yr<sup>-1</sup>. Individual plant species were categorized into resistant plants, intermediate resistant plants, and sensitive plants based on their response to nitrogen addition. Results showed that N addition significantly decreased the number of species, genera and families of herbaceous plants. Foliar N:P ratios were greater in sensitive plants than resistant or intermediate resistance plants, while intrinsic water use efficiency showed an opposite trend. However, no relationship was detected between soil available N and foliar N, and soil N:P and foliar N:P ratios. Our results indicated that long-term N addition decreased the diversity of understory plants in a subtropical forest. Through regulating water use efficiency with N addition, sensitive plants change their N:P stoichiometry and have a higher risk of mortality, while resistant plants maintain a stable N:P stoichiometry, which contributes to their survival. These findings suggest that plant N:P stoichiometry plays an important role in understory plant performance in response to environmental change of N.</p>
Light pollution affects invasive and native plant traits important to plant competition and herbivorous insects
<p>Dataset that goes with our accepted publication in Biological Invasions entitled "Light pollution affects invasive and native plant traits important to plant competition and herbivorous insects"</p>
Root traits and soil microorganisms as drivers of plant-soil feedbacks within the sub-arctic tundra meadow
<p>Plant-soil feedback (PSF) can influence the composition of various soil microorganisms (antagonistic and mutualistic), which can have reciprocal effects on plants. At the same time, we do not understand the effects of fine root traits in moderating microbial-driven PSF. We therefore conducted a greenhouse study to aid in understanding the relationship between root traits, soil community composition (PLFAs and high-throughput sequencing data) and plant-soil feedback (PSF). These data therefore include datasets with fine root traits, raw sequence reads from high-throughput sequencing for soil fungi, phospholipid fatty acid data and biomass data after the plant-soil feedback study.</p>
Disentangling the roles of plant functional diversity and plaint traits in regulating plant nitrogen accumulation and denitrification in freshwaters
<p>1. There is a growing recognition that functional measures of diversity, based on quantification of functionally important species traits, are useful for explaining variation in ecosystem processes. However, the mechanisms linking functional diversity to different processes remain poorly understood, hindering development of a predictive framework for ecosystem functioning based on species traits.</p> <p>2. The current understanding of how the functional traits of aquatic plants (macrophytes) affect nitrogen (N) cycling by regulating microbial communities and their activity in freshwater habitats is particularly limited. Denitrifying bacteria are typically associated with the roots of both aquatic and terrestrial plants and denitrification is the main cause of loss of N from ecosystems. Disentangling the interplay between plants and microbial denitrifiers is key to understanding variation in rates of denitrification from local to landscape scales.</p> <p>3. In a mesocosm experiment, we varied the species richness (monocultures or two- species mixtures) and composition of macrophytes. We quantified effects of both macrophyte functional diversity, quantified as functional trait dissimilarity, and functional trait composition, quantified as community weighted mean trait values, on N removal in wetlands. We used structural equation modelling to disentangle the direct and indirect influences of traits on N accumulation in plant biomass, denitrification activity and abundance of key bacterial denitrification genes (<i>nirS</i>and <i>nirK</i>).</p> <p>4. Both functional diversity and functional trait composition regulated N removal, explaining 70 – 94% variation in the underlying ecosystem processes. Increased macrophyte functional diversity increased plant N accumulation, and indirectly enhanced denitrification by increasing denitrification gene abundance. Among traits, greater plant relative growth rates, specific leaf area and aboveground biomass increased plant N accumulation. Denitrification activity increased with increasing belowground biomass but decreased with increasing root diameter.</p> <p><span><span><span><span><span><span><span><span><span><span><span>5. These findings improve our understanding of N removal in freshwater wetlands dominated by macrophytes, and have broad ecological implications for wetland management targeting enhanced ecosystem services. Our results highlight the potential for optimising denitrification and plant N accumulation in wetlands and thereby improving water purification by increasing macrophyte functional diversity and ensuring the presence of key traits in macrophyte assemblages.</span></span></span></span></span></span></span></span></span></span></span></p>
Plant species with the trait of continuous flowering do not hold core roles in a Neotropical lowland plant-pollinating insect network
<p>Plant-animal interaction science repeatedly finds that plant species differ by orders of magnitude in the number of interactions they support. The identification of plant species that play key structural roles in plant-animal networks is a global conservation priority, however, in hyperdiverse systems such as tropical forests, empirical datasets are scarce. Plant species with longer reproductive seasons are posited to support more interactions compared to plant species with shorter reproductive seasons but this hypothesis has not been evaluated for plant species with the longest reproductive season possible at the individual plant level, the continuous flowering phenology. Resource predictability is also associated with promoting specialization, and therefore continuous flowering may instead favor specialist interactions. Here we use quantitative pollinating insect-plant networks constructed from countryside habitat of the Tropical Wet forest Life Zone and modularity analysis to test if species that share the trait of continuous flowering hold core roles in mutualistic networks. With a few exceptions, most<span> plant species sampled within our network were assigned to the role of peripheral. All but one network had significantly high modularity scores and each continuous flowering plant species was in a different module. Our work reveals that the continuous flowering plant species differed in some networks in their topological role, and that more evidence was found for the phenology to support specialized subsets of interactions. Our findings suggest that the conservation of Neotropical pollinating insect communities may require planting species from each module rather than identifying and conserving network hubs. </span></p>
Mechanisms of dietary resource partitioning in large-herbivore assemblages: a plant-trait-based approach
<p>Sympatric large mammalian herbivore species differ in diet composition, both by eating different parts of the same plant and by eating different plant species. Various theories proposed to explain these differences are not mutually exclusive, but are difficult to reconcile and confront with data. Moreover, whereas several of these ideas were originally developed with reference to within-plant partitioning (i.e., consumption of different tissues), they may analogously apply to partitioning of plant species; this possibility has received little attention.</p> <p>Plant functional traits provide a novel window into herbivore diets and a means of testing multiple hypotheses in a unified framework. We used DNA metabarcoding to characterize the diets of 14 sympatric large-herbivore species in an African savanna and analyzed diet composition in light of 27 functional traits that we measured locally for 204 plant species.</p> <p>Plant traits associated with the deep phylogenetic split between grasses and eudicots formed the primary axis of resource partitioning, affirming the generality and importance of the grazer-browser spectrum. A secondary axis comprised plant traits relevant to herbivore body size. Plant taxa in the diets of large-bodied species were lower on average in digestible energy and protein, taller on average (especially among grazers), and tended to be higher in tensile strength, zinc, stem-specific density, and potassium (and lower in sodium, stem dry matter content, and copper). These results are consistent with longstanding hypotheses linking body size with forage quality and plant height, yet they also suggest the existence of undiscovered links between herbivore body size and a set of rarely considered food-plant traits. We also tested the novel hypothesis that the leaf economic spectrum (LES), a major focus in plant ecology, is an axis of resource partitioning in large-herbivore assemblages; we found that the LES was a minor axis of individual variation within a few species, but had little effect on interspecific dietary differentiation.</p> <p>Synthesis. These results identify key plant traits that underpin the partitioning of food-plant species in large-herbivore communities and suggest that accounting for multiple plant traits (and tradeoffs among them) will enable a deeper understanding of herbivore-plant interaction networks.</p>
Disentangling biotic and abiotic drivers of intraspecific trait variation in woody plant seedlings at forest edges
<p>In fragmented forests, edge effects can drive intraspecific variation in seedling performance that influences forest regeneration and plant composition. However, few studies have attempted to disentangle the relative biotic and abiotic drivers of intraspecific variation in seedling performance. In this study, we carried out a seedling transplant experiment with a factorial experimental design on three land-bridge islands in the Thousand Island Lake, China, using four common native woody plant species. At different distances from the forest edge (2, 8, 32, 128 m), we transplanted four seedlings of each species into each of three cages: full-cage, for herbivore-exclusion; half-cage, that allowed herbivore access but controlled for caging artefacts; and no-cage control. In the 576 cages, we recorded branch architecture, leaf traits and seedling survival for each seedling before and after the experimental treatment. Overall, after one full growing season, edge-induced abiotic drivers and varied herbivory pressure led to intraspecific variation in seedling performance, including trade-offs in seedling architecture and resource-use strategies. However, responses varied across species with different life-history strategies and depended on the driver in question, such that the abiotic and biotic effects were additive across species, rather than interactive. Edge-induced abiotic variation modified seedling architecture of a shade-tolerant species, leading to more vertical rather than lateral growth at edges. Meanwhile, increased herbivory pressure resulted in a shift toward lower dry matter investment in leaves of a light-demanding species. Our results suggest that edge effects can drive rapid directional shifts in the performance and intraspecific traits of some woody plants from early ontogenetic stages, but most species in this study showed negligible phenotypic responses to edge effects. Moreover, species-specific responses suggest the importance of interspecific differences modulating the degree of trait plasticity, implying the need to incorporate individual-level responses when understanding the impact of forest fragmentation on plant communities.</p>
Plant traits measured for Australian alpine plants
<p>Rapid evolution is likely to be an important mechanism allowing native species to adapt to changed environmental conditions. Many northern hemisphere species have undergone substantial recent changes in phenology and morphology. However, we have little information about how native species in the southern hemisphere are responding to climate change. We used herbarium specimens from 21 native alpine plant species in Kosciuszko National Park, Australia to make over 1500 measurements of plant size, leaf thickness, leaf mass per area, leaf shape and leaf size across the last 126 years. Only two out of 21 species (9%) showed significant changes in any of the measured traits. The number of changes we observed was not significantly different to what we would expect by chance alone, based on the number of analyses performed. This lack of change is not attributable to methodology – an earlier study using the same methods found significant changes in 70% of species introduced to south-east Australia. Australia's native alpine plants do not appear to be adapting to changed conditions, and because of the low elevation of Australia's mountains, they do not have much scope for uphill migration. Thus, our findings suggest that Australia's native alpine plants are at even greater risk in the face of future climate change than was previously understood. </p>
Leading trait dimensions in flood-tolerant plants
<p><strong>Background and Aims </strong></p> <p>While trait-based approaches have provided critical insights into general plant functioning, we lack a comprehensive quantitative view on plant strategies in flooded conditions. Plants adapted to flooded conditions have specific traits (e.g. root porosity, low root/shoot ratio and shoot elongation) to cope with the environmental stressors including anoxic sediments, and the subsequent presence of phytotoxic compounds. In flooded habitats, plants also respond to potential nutrient and light limitations, e.g. through the expression of leaf economics traits and size-related traits, respectively. However, we do not know whether and how these trait dimensions are connected.</p> <p><strong>Methods</strong></p> <p>Based on a trait dataset compiled on 131 plant species from 141 studies in flooded habitats, we quantitatively analysed how flooding-induced traits are positioned in relation to the other two dominant trait dimensions: leaf economics traits and size-related traits. We evaluated how these key trait components are expressed along wetness gradients, across habitat types and among plant life forms.</p> <p><strong>Key Results </strong></p> <p>We found that flooding-induced traits constitute a trait dimension independent from leaf economics traits and size-related traits, indicating that there is no generic trade-off associated with flooding adaptations. Moreover, individual flooding-induced traits themselves are to a large extent decoupled from each other. These results suggest that adaptation to stressful environments, such as flooding, can be stressor specific without generic adverse effects on plant functioning (e.g. causing trade-offs on leaf economics traits).</p> <p><strong>Conclusions </strong></p> <p>The trait expression across multiple dimensions promotes plant adaptations and coexistence across multifaceted flooded environments. The decoupled trait dimensions, as related to different environmental drivers, also explain why ecosystem functioning (including, for example, methane emissions) are species and habitat specific. Thus, our results provide a backbone for applying trait-based approaches in wetland ecology by considering flooding-induced traits as an independent trait dimension.</p>
Leaf traits, plant size and environment data of a common tree species Clausena dunniana in a subtropical broad-leaved forest
<p>This dataset contains the leaf traits, plant size and environment data of 262 individuals of a widespread species <em>Clausena dunniana</em> in the subtropical broad-leaved forests in Maolan National Nature Reserve in the karst region of southwestern China. The 262 individuals of <em>C. dunniana</em> are distributed at two major topographic habitat types, the slope and the hilltop, within the forests of six sites evenly distributed in two regions within the Maolan reserve. The measured individual plant level leaf traits include specific leaf area (SLA), leaf area, leaf dry-matter content (LDMC) and leaf thickness. The plant size represents the first principal component of plant basal diameter and plant height, and the environmental factors include topographic habitat, canopy height, and rock-bareness rate.</p>
Supplementary Information: CHAPTER 2 - Unveiling genomic features linked to traits of plant-growth-promoting bacterial communities from sugarcane
<p>Appendix A. Summary of counts of subreads and circular consensus sequencing (CCS) sequences obtained for PacBio sequencing of SMRT libraries. (EMS_1.xlsx)</p> <p>Appendix B. Taxonomy assignment of MAGs at the higher taxonomic rank obtained from GTDB-tk and Kraken tools. (EMS_2.xlsx)</p> <p>Appendix C. Report of the classification workflow using GTDB-tk. (EMS_3.xlsx)</p> <p>Appendix D. Matrix of the KEGG Orthology (KOs) frequencies annotated by the EnrichM tool. (EMS_4.xlsx)</p> <p>Appendix E. Reconstruction and completeness of KEGG modules annotated by EnrichM. The asterisks (*) in the header represent additional values obtained by the script ‘classKEGGModules.pl’ (https://github.com/dgpinheiro/bioinfoutilities) to estimate PGPTs in KEGG modules. (EMS_5.xlsx)</p> <p>Appendix F. The secondary metabolite biosynthesis gene clusters (BGCs) identified with AntiSMASH. (EMS_6.xlsx)</p> <p>Appendix G. The raw count of plant growth-promoting traits (PGPTs) annotations, according to KEGG Orthology (KO) predictions for MAGs. (EMS_7.xlsx)</p> <p>Appendix H. The raw count of plant growth-promoting traits (PGPTs) that comprises the 39 classes (level 5 hierarchy) identified as enriched according to the results of Pearson's Chi-square test (qvalue ≤ 0.1). (EMS_8.xlsx)</p>
Mangrove plant traits dataset V1
<p>Dataset with 2364 records of traits of "true mangroves" plant species</p>
Pollination-related plant traits under environmental changes: seasonal and daily mismatches produce temporal constraints
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Data from: Grassland management regimes alter the coordination of plant functional traits and nutrient resorption in semiarid grasslands
<p>Grazing and enclosure (grazing exclusion) are the main grassland management regimes that affect nutrient cycling and ecosystem function by altering plant traits. However, the coordination among plant functional traits and nutrient resorption under different grassland management regimes remains unclear. We examined the coordination of eight root and four leaf traits along with the nitrogen (N) and phosphorus (P) resorption efficiencies under four grazing intensities and two enclosure chronosequences in a semiarid steppe ecosystem in China. The principal components analysis (PCA) of root traits and multiple factors analysis of root and leaf traits showed two-dimensional economic spaces at the individual level. Increasing grazing intensity shifts species and community trait composition from conservative to acquisitive with increases in specific root length, specific root area, root alkaline phosphatase activity, and specific leaf area, accelerating nutrient cycling and coordination among traits. Increasing grazing intensity promoted nutrient resorption efficiency. Such adaptations optimize plant nutrient acquisition and nutrient conservation under nutrient-poor conditions. Conversely, long-term enclosure increases plant nutrient and light acquisition by promoting root tissue density, mycorrhizal colonization, and specific leaf area. The conservative (e.g., <em>Stipa grandis</em>) and acquisitive species (e.g., <em>Carex korshinskyi</em>) dominated under grazing, whereas the mid-acquisitive species, including <em>Leymus chinensis</em> and <em>Agropyron cristatum</em>,<em> </em>dominated under enclosure. The observed N and P resorption efficiencies decrease with increasing PC1 score (increase in nutrient acquisition by itself) in root PCA, indicating the trade-off between nutrient-conservative and nutrient-acquisitive strategies. Community-weighted mean traits were primarily driven by intraspecific trait variation, enhancing the adaptability of plants and communities to environmental changes and external stressors. Our study highlights the coordination among above- and below-ground traits, as well as the trade-off between root nutrient acquisition and leaf nutrient resorption under different grassland management regimes in semi-arid grassland ecosystems. From these findings, we conclude that enhancing soil nutrient availability is the most effective approach to the solution to grazing-induced grassland degradation. This knowledge is crucial for devising more effective strategies for sustainable land use and biodiversity conservation in grassland ecosystems.</p>
Data and code for "Tree species abundance changes at the edges of their climatic distribution: an interplay between climate change, plant traits, and forest management"
<p>## Secondary data and code to accompany the research entitled "Tree species abundance changes at the edges of their climatic distribution: an interplay between climate change, plant traits, and forest management" by Padullés Cubino et al. (2024).</p> <p># There are four folders with (1) "raw data", (2) "processed data", (3) "results", and (4) "scripts".</p> <p># The raw and processed data folders contain the CSV and XLSX files with all the data used for analysis and produced from them</p> <p># The "results" folder contains the figures and table presented in the manuscript.</p> <p># The "scripts" folder contains four scripts for the analyses described in the manuscript:</p> <p> 01_preparation_ClimEdge.R -> data cleaning and processing</p> <p> 02_script_Fig1.R -> code to produce Fig1</p> <p> 03_script_Fig2.R -> code to produce Fig2</p> <p> 04_script_Table1_Fig3.R -> code to produce Table 1 and Fig3</p> <p># If anything is unclear, please contact the corresponding author for clarification (padullesj@gmail.com).</p>
Supplementary material 2 from: Martín-Forés I, Casado MA, Castro I, del Pozo A, Molina-Montenegro MA, de Miguel JM, Acosta-Gallo B (2018) Variation in phenology and overall performance traits can help to explain the plant invasion process amongst Mediterranean ecosystems. NeoBiota 41: 67-89. https://doi.org/10.3897/neobiota.41.29965
Supplementary material 2 from: Martín-Forés I, Casado MA, Castro I, del Pozo A, Molina-Montenegro MA, de Miguel JM, Acosta-Gallo B (2018) Variation in phenology and overall performance traits can help to explain the plant invasion process amongst Mediterranean ecosystems. NeoBiota 41: 67-89. https://doi.org/10.3897/neobiota.41.29965
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.