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153 results for “growth traits”
Large seeds provide an intrinsic growth advantage that depends on leaf traits and root allocation
<p>Seed mass and growth rate are important dimensions of plant ecological diversity, but their relationship remains unresolved. Negative relationships between relative growth rate (RGR) and seed mass are well established. However, RGR is size-dependent, so small-seeded species might achieve fast growth simply because they are initially small.</p> <p>Using a dataset of unprecedented size, sampling 382 grass species, we investigated seed mass and growth rate using both RGR and SGR (RGR at a specific size), accounting for diversity in phylogeny, ecology (e.g. life history, photosynthetic pathway) and environment (mean annual temperature and precipitation).</p> <p>RGR and SGR showed contrasting relationships with seed mass, such that large-seeded species had lower RGR but higher SGR than small-seeded species. However, the relationship between SGR and seed mass depended on leaf dry matter content (LDMC), and was only positive in high-LDMC species. When compared at a common size, the fast growth of large-seeded and low-LDMC species was associated with greater biomass allocation to roots in the hot, high-light environment used for our experiment. Photosynthetic pathway and life history contributed to variation in SGR, with C4 annuals having higher SGRs than C3 perennials regardless of seed size.</p> <p>Large seeds therefore afford an intrinsic growth advantage in species with resource-conserving leaf traits, and may provide a competitive edge in resource-poor environments. This work advances understanding of how seed mass and growth rate coevolve with other ecological factors.</p>
Data from: Genotypic traits and tradeoffs of fast growth in silver birch, a pioneer tree
<p>Fast-growing and slow-growing plant species are suggested to show integrated economics spectrums and the tradeoffs of fast growth are predicted to emerge as susceptibility to herbivory and resource competition. We tested if these predictions also hold for fast-growing and slow-growing genotypes within a silver birch, <i>Betula pendula</i> population. We exposed cloned saplings of 17 genotypes with slow, medium or fast height growth to reduced insect herbivory, using an insecticide, and to increasing resource competition, using naturally varying field plot grass cover. We measured shoot and root growth, ectomycorrhizal (EM) fungal production using ergosterol analysis and soil N transfer to leaves using <sup>15</sup>N-labelled pulse of NH<sub>4</sub><sup>+</sup>. We found that fast-growing genotypes grew on average 78% faster, produced 56% and 16% more leaf mass and ergosterol, and showed 78% higher leaf N uptake than slow-growing genotypes. The insecticide decreased leaf damage by 83% and increased shoot growth, leaf growth and leaf N uptake by 38%, 52% and 76%, without differences between the responses of fast-growing and slow-growing genotypes, whereas root mass decreased with increasing grass cover. Shoot and leaf growth of fast-growing genotypes decreased and EM fungal production of slow-growing genotypes increased with increasing grass cover. Our results suggest that fast growth is genotypically associated with higher allocation to EM fungi, better soil N capture and greater leaf production, and that the tradeoff of fast growth is sensitivity to competition, but not to insect herbivory. EM fungi may have a dual role: to support growth of fast-growing genotypes under low grass competition and to maintain growth of slow-growing genotypes under intensifying competition.</p>
Associations between metabolic traits and growth rate in brown trout (Salmo trutta) depend on thermal regime
<p class="academicstyle"><span><span><span><span><span><span><span><span><span><span><span>Metabolism defines the energetic cost of life, yet we still know relatively little about why intraspecific variation in metabolic rate arises and persists. Spatiotemporal variation in selection potentially maintains differences, but relationships between metabolic traits (standard metabolic rate (SMR), maximum metabolic rate (MMR), and aerobic scope) and fitness across contexts are unresolved. We show that associations between SMR, MMR, and growth rate (a key fitness-related trait) vary depending on thermal regime (a potential selective agent) in offspring of wild-sampled brown trout from two populations reared for ~15 months in either a cool or warm (+ 1.8°C) regime.<i> </i>SMR was positively related to growth in the cool, but negatively related in the warm regime. The opposite patterns were found for MMR and growth associations (positive in warm, negative in cool regime). Mean SMR, but not MMR, was lower in warm regimes within both populations (i.e., basal metabolic costs were reduced at higher temperatures), consistent with an adaptive acclimation response that optimises growth. Metabolic phenotypes thus exhibited a thermally sensitive metabolic 'floor' and a less flexible metabolic 'ceiling'. Our findings suggest a role for growth-related fluctuating selection in shaping patterns of metabolic variation that is likely important in adapting to climate change.</span></span></span></span></span></span></span></span></span></span></span></p>
Anatomical wood traits of tree species in old-growth and selectively logged forest
<b>Description: </b><p>Traits matrix of wood anatomical characteristics for tree species in selectively logged forest at SAFE and in old-growth forest in Danum Valley and Maliau Basin. Sampled during the BALI project traits campaign</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/55"><b>Biodiversity and land-use impacts on tropical ecosystem function (BALI): Quantifying functional trait distributions across the disturbance gradient</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Standard grant, NE/K016253/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2.2(385))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5513918">here</a></p><p><b>Files: </b>This consists of 1 file: Both_wood_anatomical_traits_complete_dataset.xlsx</p><p><b>Both_wood_anatomical_traits_complete_dataset.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Wood_anatomical_traits</b> (described in worksheet Wood_anatomical_traits)</p><p>Description: Traits matrix of wood anatomical characteristics for tree species in selectively logged forest at SAFE and in old-growth forest in Danum Valley and Maliau Basin. Sampled during the BALI project traits campaign</p><p>Number of fields: 18</p><p>Number of data rows: 596</p><p>Fields: </p><ul><li><b>location</b>: Location (Field type: location)</li><li><b>forest_type</b>: Forest type: OG: old-growth plots, Maliau and Danum; SL: selectively logged plots at SAFE (Field type: categorical)</li><li><b>forestplots_name</b>: Plot name coherent with forestplots database (Field type: id)</li><li><b>plot_name_trait_campaign</b>: Plot name used during the BALI trait campaign (Field type: id)</li><li><b>sample_code</b>: Sample code referencing: plot-'T'(ree) ID-branch type (Field type: id)</li><li><b>branch_type</b>: Binary classification of branch sampled depending on their position in the tree crown. BS: sun branch; BSH: shade branch (Field type: id)</li><li><b>sampling_date</b>: Date of sampling (Field type: date)</li><li><b>tree_id</b>: Reference for tree tag label (Field type: id)</li><li><b>species</b>: Tree species (Field type: taxa)</li><li><b>Wedge.area.micron2</b>: Area of wedge from microtome slice used for analysis. (Field type: numeric trait)</li><li><b>No.vessel.wedge</b>: Count of vessels in the respective wedge area. (Field type: numeric trait)</li><li><b>Vessel.diameter.micron</b>: Mean vessel diameter. Vessel diameter is determined as the mean of the maximum and minimum (lumen) diameters. (Field type: numeric trait)</li><li><b>Median.vessel.diameter.micron</b>: The middle value of the vessel diameter data set. (Field type: numeric trait)</li><li><b>Hydraulically.weighted.diameter.micron</b>: Hydraulically weighted mean diameter. Calculated as (∑ diameter^5) / (∑ diameter^4). (Field type: numeric trait)</li><li><b>Vessel.area.micron2</b>: Mean vessel area. Vessel area is determined by the average cross-sectional area of all vessel lumens (excluding vessel walls) in the wedge-shaped transect of the branch wood cross-section. (Field type: numeric trait)</li><li><b>Median.vessel.area.micron2</b>: The middle value of the vessel area data set. (Field type: numeric trait)</li><li><b>Vessel.lumen.tot.area</b>: Total area of the vessel lumens in the wedge-shaped transect of the branch wood cross-section. (Field type: numeric trait)</li><li><b>vessel.lumen.f.wedge</b>: Vessel lumen fraction. From the vessel areas and transect areas, vessel lumen fraction is calculated as the fraction of transect area filled by vessel lumens. (Field type: numeric trait)</li></ul></li></ol><p><b>Date range: </b>2014-05-01 to 2018-09-01</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Malpighiales <br> -  -  -  -  -  Chrysobalanaceae <br> -  -  -  -  -  -  <i>Licania</i> <br> -  -  -  -  -  -  -  <i>Licania splendens</i> <br> -  -  -  -  -  Hypericaceae <br> -  -  -  -  -  -  <i>Cratoxylum</i> <br> -  -  -  -  -  Irvingiaceae <br> -  -  -  -  -  -  <i>Irvingia</i> <br> -  -  -  -  -  -  -  <i>Irvingia malayana</i> <br> -  -  -  -  -  Centroplacaceae <br> -  -  -  -  -  -  <i>Bhesa</i> <br> -  -  -  -  -  -  -  <i>Bhesa indica</i> (as synonym: <i>Bhesa paniculata</i>)<br> -  -  -  -  -  Clusiaceae <br> -  -  -  -  -  -  <i>Garcinia</i> <br> -  -  -  -  -  -  -  <i>Garcinia benthamiana</i> <br> -  -  -  -  -  -  -  <i>Garcinia forbesii</i> <br> -  -  -  -  -  -  -  <i>Garcinia parvifolia</i> <br> -  -  -  -  -  Salicaceae <br> -  -  -  -  -  -  <i>Homalium</i> <br> -  -  -  -  -  -  -  <i>Homalium foetidum</i> <br> -  -  -  -  -  Putranjivaceae <br> -  -  -  -  -  -  <i>Drypetes</i> <br> -  -  -  -  -  -  -  <i>Drypetes longifolia</i> <br> -  -  -  -  -  Achariaceae <br> -  -  -  -  -  -  <i>Hydnocarpus</i> <br> -  -  -  -  -  -  <i>Ryparosa</i> <br> -  -  -  -  -  -  -  <i>Ryparosa acuminata</i> <br> -  -  -  -  -  Euphorbiaceae <br> -  -  -  -  -  -  <i>Spathiostemon</i> <br> -  -  -  -  -  -  <i>Hancea</i> <br> -  -  -  -  -  -  -  <i>Hancea penangensis</i> (as synonym: <i>Mallotus penangensis</i>)<br> -  -  -  -  -  -  <i>Neoscortechinia</i> <br> -  -  -  -  -  -  -  <i>Neoscortechinia kingii</i> <br> -  -  -  -  -  -  -  <i>Neoscortechinia philippinensis</i> <br> -  -  -  -  -  -  <i>Mallotus</i> <br> -  -  -  -  -  -  -  <i>Mallotus leucodermis</i> <br> -  -  -  -  -  -  -  <i>Mallotus miquelianus</i> <br> -  -  -  -  -  -  -  <i>Mallotus mollissimus</i> <br> -  -  -  -  -  -  -  <i>Mallotus wrayi</i> <br> -  -  -  -  -  -  <i>Ptychopyxis</i> <br> -  -  -  -  -  -  -  <i>Ptychopyxis arborea</i> <br> -  -  -  -  -  -  <i>Macaranga</i> <br> -  -  -  -  -  -  -  <i>Macaranga conifera</i> <br> -  -  -  -  -  -  -  <i>Macaranga gigantea</i> <br> -  -  -  -  -  -  -  <i>Macaranga hypoleuca</i> <br> -  -  -  -  -  -  -  <i>Macaranga pearsonii</i> <br> -  -  -  -  -  -  -  <i>Macaranga winkleri</i> <br> -  -  -  -  -  -  <i>Blumeodendron</i> <br> -  -  -  -  -  -  -  <i>Blumeodendron kurzii</i> <br> -  -  -  -  -  -  -  <i>Blumeodendron tokbrai</i> <br> -  -  -  -  -  Phyllanthaceae <br> -  -  -  -  -  -  <i>Aporosa</i> (as synonym: <i>Aporusa</i>)<br> -  -  -  -  -  -  <i>Cleistanthus</i> <br> -  -  -  -  -  -  -  <i>Cleistanthus hirsutulus</i> <br> -  -  -  -  -  -  -  <i>Cleistanthus hylandii</i> <br> -  -  -  -  -  -  -  <i>Cleistanthus oblongifolius</i> (as synonym: <i>Cleistanthus myrianthus</i>)<br> -  -  -  -  -  -  <i>Glochidion</i> <br> -  -  -  -  -  -  <i>Phyllanthus</i> <br> -  -  -  -  -  -  -  <i>Phyllanthus lutescens</i> (as synonym: <i>Glochidion lutescens</i>)<br> -  -  -  -  -  -  -  <i>Phyllanthus ruber</i> (as synonym: <i>Glochidion rubrum</i>)<br> -  -  -  -  -  -  <i>Baccaurea</i> <br> -  -  -  -  -  -  -  <i>Baccaurea lanceolata</i> <br> -  -  -  -  -  -  -  <i>Baccaurea macrocarpa</i> <br> -  -  -  -  -  -  -  <i>Baccaurea tetrandra</i> <br> -  -  -  -  -  Calophyllaceae <br> -  -  -  -  -  -  <i>Mesua</i> <br> -  -  -  -  -  -  -  <i>Mesua oblongifolia</i> (as synonym: <i>Kayea oblongifolia</i>)<br> -  -  -  -  -  -  -  <i>Mesua macrantha</i> <br> -  -  -  -  -  -  <i>Calophyllum</i> <br> -  -  -  -  -  -  -  <i>Calophyllum soulattri</i> <br> -  -  -  -  Malvales <br> -  -  -  -  -  Malvaceae <br> -  -  -  -  -  -  <i>Heritiera</i> <br> -  -  -  -  -  -  -  <i>Heritiera elata</i> <br> -  -  -  -  -  -  <i>Pterygota</i> <br> -  -  -  -  -  -  -  <i>Pterygota alata</i> <br> -  -  -  -  -  -  <i>Pentace</i> <br> -  -  -  -  -  -  -  <i>Pentace borneensis</i> (as synonym: <i>Pentace laxiflora</i>)<br> -  -  -  -  -  -  <i>Sterculia</i> <br> -  -  -  -  -  -  -  <i>Sterculia stipulata</i> <br> -  -  -  -  -  -  <i>Microcos</i> <br> -  -  -  -  -  -  -  <i>Microcos crassifolia</i> <br> -  -  -  -  -  -  <i>Scaphium</i> <br> -  -  -  -  -  -  -  <i>Scaphium macropodum</i> <br> -  -  -  -  -  -  <i>Boschia</i> <br> -  -  -  -  -  -  -  <i>Boschia grandiflora</i> (as synonym: <i>Durio grandiflorus</i>)<br> -  -  -  -  -  -  <i>Durio</i> <br> -  -  -  -  -  -  -  <i>Durio graveolens</i> <br> -  -  -  -  -  Dipterocarpaceae <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  -  <i>Shorea almon</i> <br> -  -  -  -  -  -  -  <i>Shorea angustifolia</i> <br> -  -  -  -  -  -  -  <i>Shorea argentifolia</i> <br> -  -  -  -  -  -  -  <i>Shorea beccariana</i> <br> -  -  -  -  -  -  -  <i>Shorea faguetiana</i> <br> -  -  -  -  -  -  -  <i>Shorea falciferoides</i> <br> -  -  -  -  -  -  -  <i>Shorea fallax</i> <br> -  -  -  -  -  -  -  <i>Shorea gibbosa</i> <br> -  -  -  -  -  -  -  <i>Shorea guiso</i> <br> -  -  -  -  -  -  -  <i>Shorea johorensis</i> <br> -  -  -  -  -  -  -  <i>Shorea leprosula</i> <br> -  -  -  -  -  -  -  <i>Shorea leptoderma</i> <br> -  -  -  -  -  -  -  <i>Shorea macrophylla</i> <br> -  -  -  -  -  -  -  <i>Shorea macroptera</i> <br> -  -  -  -  -  -  -  <i>Shorea ovalis</i> <br> -  -  -  -  -  -  -  <i>Shorea ovata</i> <br> -  -  -  -  -  -  -  <i>Shorea parviflora</i> <br> -  -  -  -  -  -  -  <i>Shorea parvifolia</i> <br> -  -  -  -  -  -  -  <i>Shorea parvistipulata</i> <br> -  -  -  -  -  -  -  <i>Shorea pauciflora</i> <br> -  -  -  -  -  -  -  <i>Shorea pinanga</i> <br> -  -  -  -  -  -  -  <i>Shorea superba</i> <br> -  -  -  -  -  -  -  <i>Shorea symingtonii</i> <br> -  -  -  -  -  -  -  <i>Shorea xanthophylla</i> <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  -  <i>Shorea almon</i> <br> -  -  -  -  -  -  -  <i>Shorea angustifolia</i> <br> -  -  -  -  -  -  -  <i>Shorea argentifolia</i> <br> -  -  -  -  -  -  -  <i>Shorea beccariana</i> <br> -  -  -  -  -  -  -  <i>Shorea faguetiana</i> <br> -  -  -  -  -  -  -  <i>Shorea falciferoides</i> <br> -  -  -  -  -  -  -  <i>Shorea fallax</i> <br> -  -  -  -  -  -  -  <i>Shorea gibbosa</i> <br> -  -  -  -  -  -  -  <i>Shorea guiso</i> <br> -  -  -  -  -  -  -  <i>Shorea johorensis</i> <br> -  -  -  -  -  -  -  <i>Shorea leprosula</i> <br> -  -  -  -  -  -  -  <i>Shorea leptoderma</i> <br> -  -  -  -  -  -  -  <i>Shorea macrophylla</i> <br> -  -  -  -  -  -  -  <i>Shorea macroptera</i> <br> -  -  -  -  -  -  -  <i>Shorea ovalis</i> <br> -  -  -  -  -  -  -  <i>Shorea ovata</i> <br> -  -  -  -  -  -  -  <i>Shorea parviflora</i> <br> -  -  -  -  -  -  -  <i>Shorea parvifolia</i> <br> -  -  -  -  -  -  -  <i>Shorea parvistipulata</i> <br> -  -  -  -  -  -  -  <i>Shorea pauciflora</i> <br> -  -  -  -  -  -  -  <i>Shorea pinanga</i> <br> -  -  -  -  -  -  -  <i>Shorea superba</i> <br> -  -  -  -  -  -  -  <i>Shorea symingtonii</i> <br> -  -  -  -  -  -  -  <i>Shorea xanthophylla</i> <br> -  -  -  -  -  -  <i>Vatica</i> <br> -  -  -  -  -  -  -  <i>Vatica dulitensis</i> <br> -  -  -  -  -  -  -  <i>Vatica odorata</i> <br> -  -  -  -  -  -  <i>Hopea</i> <br> -  -  -  -  -  -  -  <i>Hopea plagata</i> <br> -  -  -  -  -  -  -  <i>Hopea sangal</i> <br> -  -  -  -  -  -  <i>Dipterocarpus</i> <br> -  -  -  -  -  -  -  <i>Dipterocarpus caudiferus</i> <br> -  -  -  -  -  -  <i>Dryobalanops</i> <br> -  -  -  -  -  -  -  <i>Dryobalanops lanceolata</i> <br> -  -  -  -  -  -  <i>Parashorea</i> <br> -  -  -  -  -  -  -  <i>Parashorea malaanonan</i> <br> -  -  -  -  -  -  -  <i>Parashorea smythiesii</i> <br> -  -  -  -  -  -  -  <i>Parashorea warburgii</i> (as synonym: <i>Parashorea tomentella</i>)<br> -  -  -  -  -  Thymelaeaceae <br> -  -  -  -  -  -  <i>Aquilaria</i> <br> -  -  -  -  -  -  -  <i>Aquilaria beccariana</i> <br> -  -  -  -  Celastrales <br> -  -  -  -  -  Celastraceae <br> -  -  -  -  -  -  <i>Lophopetalum</i> <br> -  -  -  -  -  -  -  <i>Lophopetalum beccarianum</i> <br> -  -  -  -  -  -  -  <i>Lophopetalum javanicum</i> <br> -  -  -  -  Santalales <br> -  -  -  -  -  Coulaceae <br> -  -  -  -  -  -  <i>Ochanostachys</i> <br> -  -  -  -  -  -  -  <i>Ochanostachys amentacea</i> <br> -  -  -  -  Fagales <br> -  -  -  -  -  Fagaceae <br> -  -  -  -  -  -  <i>Lithocarpus</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus blumeanus</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus conocarpus</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus echinifer</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus gracilis</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus leptogyne</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus sundaicus</i> <br> -  -  -  -  -  -  <i>Lithocarpus</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus blumeanus</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus conocarpus</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus echinifer</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus gracilis</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus leptogyne</i> <br> -  -  -  -  -  -  -  <i>Lithocarpus sundaicus</i> <br> -  -  -  -  -  -  <i>Quercus</i> <br> -  -  -  -  -  -  -  <i>Quercus argentata</i> <br> -  -  -  -  -  -  -  <i>Quercus lowii</i> <br> -  -  -  -  -  -  -  <i>Quercus merrillii</i> <br> -  -  -  -  -  -  <i>Trigonobalanus</i> <br> -  -  -  -  -  -  -  <i>Trigonobalanus verticillata</i> <br> -  -  -  -  -  -  <i>Castanopsis</i> <br> -  -  -  -  -  -  -  <i>Castanopsis hypophoenicea</i> <br> -  -  -  -  Lamiales <br> -  -  -  -  -  Lamiaceae <br> -  -  -  -  -  -  <i>Callicarpa</i> <br> -  -  -  -  -  -  -  <i>Callicarpa pentandra</i> <br> -  -  -  -  -  Oleaceae <br> -  -  -  -  -  -  <i>Chionanthus</i> <br> -  -  -  -  -  -  -  <i>Chionanthus macrocarpus</i> <br> -  -  -  -  -  -  -  <i>Chionanthus pluriflorus</i> <br> -  -  -  -  Rosales <br> -  -  -  -  -  Urticaceae <br> -  -  -  -  -  -  <i>Dendrocnide</i> <br> -  -  -  -  -  -  -  <i>Dendrocnide elliptica</i> <br> -  -  -  -  -  Rosaceae <br> -  -  -  -  -  -  <i>Prunus</i> <br> -  -  -  -  -  -  -  <i>Prunus javanica</i> <br> -  -  -  -  -  -  <i>Pygeum</i> <br> -  -  -  -  -  -  -  <i>Pygeum beccarii</i> (as synonym: <i>Prunus beccarii</i>)<br> -  -  -  -  -  Moraceae <br> -  -  -  -  -  -  <i>Ficus</i> <br> -  -  -  -  -  -  -  <i>Ficus hispida</i> <br> -  -  -  -  -  -  -  <i>Ficus septica</i> <br> -  -  -  -  -  -  -  <i>Ficus uncinata</i> <br> -  -  -  -  -  -  -  <i>Ficus variegata</i> <br> -  -  -  -  -  -  <i>Antiaris</i> <br> -  -  -  -  -  -  -  <i>Antiaris toxicaria</i> <br> -  -  -  -  -  -  <i>Artocarpus</i> <br> -  -  -  -  -  -  -  <i>Artocarpus anisophyllus</i> <br> -  -  -  -  -  -  -  <i>Artocarpus glaucus</i> <br> -  -  -  -  -  -  -  <i>Artocarpus integer</i> <br> -  -  -  -  -  -  -  <i>Artocarpus odoratissimus</i> <br> -  -  -  -  -  -  -  <i>Artocarpus tamaran</i> <br> -  -  -  -  -  Cannabaceae <br> -  -  -  -  -  -  <i>Trema</i> <br> -  -  -  -  -  -  -  <i>Trema orientalis</i> <br> -  -  -  -  Cornales <br> -  -  -  -  -  Nyssaceae <br> -  -  -  -  -  -  <i>Mastixia</i> <br> -  -  -  -  -  -  -  <i>Mastixia trichotoma</i> <br> -  -  -  -  -  Cornaceae <br> -  -  -  -  -  -  <i>Alangium</i> <br> -  -  -  -  -  -  -  <i>Alangium javanicum</i> <br> -  -  -  -  Gentianales <br> -  -  -  -  -  Apocynaceae <br> -  -  -  -  -  -  <i>Alstonia</i> <br> -  -  -  -  -  -  -  <i>Alstonia angustiloba</i> <br> -  -  -  -  -  Rubiaceae <br> -  -  -  -  -  -  <i>Neonauclea</i> <br> -  -  -  -  -  -  -  <i>Neonauclea gigantea</i> <br> -  -  -  -  -  -  <i>Ludekia</i> <br> -  -  -  -  -  -  -  <i>Ludekia borneensis</i> <br> -  -  -  -  -  -  <i>Psydrax</i> <br> -  -  -  -  -  -  -  <i>Psydrax dicoccos</i> <br> -  -  -  -  -  -  <i>Urophyllum</i> <br> -  -  -  -  -  -  -  <i>Urophyllum polyneurum</i> (as synonym: <i>Pleiocarpidia polyneura</i>)<br> -  -  -  -  -  -  <i>Neolamarckia</i> <br> -  -  -  -  -  -  -  <i>Neolamarckia cadamba</i> <br> -  -  -  -  -  -  <i>Nauclea</i> <br> -  -  -  -  -  -  -  <i>Nauclea subdita</i> <br> -  -  -  -  Fabales <br> -  -  -  -  -  Fabaceae <br> -  -  -  -  -  -  <i>Sindora</i> <br> -  -  -  -  -  -  <i>Crudia</i> <br> -  -  -  -  -  -  -  <i>Crudia reticulata</i> <br> -  -  -  -  -  -  <i>Fordia</i> <br> -  -  -  -  -  -  -  <i>Fordia brachybotrys</i> <br> -  -  -  -  -  -  -  <i>Fordia splendidissima</i> <br> -  -  -  -  -  -  <i>Dialium</i> <br> -  -  -  -  -  -  -  <i>Dialium indum</i> <br> -  -  -  -  -  -  -  <i>Dialium kunstleri</i> <br> -  -  -  -  -  -  <i>Archidendron</i> <br> -  -  -  -  -  -  -  <i>Archidendron clypearia</i> <br> -  -  -  -  -  -  <i>Cynometra</i> <br> -  -  -  -  -  -  -  <i>Cynometra mirabilis</i> <br> -  -  -  -  Sapindales <br> -  -  -  -  -  Meliaceae <br> -  -  -  -  -  -  <i>Chisocheton</i> <br> -  -  -  -  -  -  -  <i>Chisocheton ceramicus</i> <br> -  -  -  -  -  -  -  <i>Chisocheton macranthus</i> <br> -  -  -  -  -  -  -  <i>Chisocheton patens</i> <br> -  -  -  -  -  -  <i>Dysoxylum</i> <br> -  -  -  -  -  -  -  <i>Dysoxylum cyrtobotryum</i> <br> -  -  -  -  -  -  -  <i>Dysoxylum densiflorum</i> <br> -  -  -  -  -  -  <i>Aphanamixis</i> <br> -  -  -  -  -  -  -  <i>Aphanamixis polystachya</i> <br> -  -  -  -  -  -  <i>Lansium</i> <br> -  -  -  -  -  -  -  <i>Lansium domesticum</i> <br> -  -  -  -  -  -  <i>Aglaia</i> <br> -  -  -  -  -  -  -  <i>Aglaia crassinervia</i> <br> -  -  -  -  -  -  -  <i>Aglaia leptantha</i> <br> -  -  -  -  -  -  -  <i>Aglaia macrocarpa</i> <br> -  -  -  -  -  -  -  <i>Aglaia odoratissima</i> <br> -  -  -  -  -  -  -  <i>Aglaia oligophylla</i> <br> -  -  -  -  -  -  -  <i>Aglaia silvestris</i> <br> -  -  -  -  -  -  -  <i>Aglaia tomentosa</i> <br> -  -  -  -  -  Sapindaceae <br> -  -  -  -  -  -  <i>Nephelium</i> <br> -  -  -  -  -  -  <i>Paranephelium</i> <br> -  -  -  -  -  -  -  <i>Paranephelium macrophyllum</i> <br> -  -  -  -  -  -  -  <i>Paranephelium xestophyllum</i> <br> -  -  -  -  -  -  <i>Dimocarpus</i> <br> -  -  -  -  -  -  -  <i>Dimocarpus longan</i> <br> -  -  -  -  -  -  <i>Tristiropsis</i> <br> -  -  -  -  -  -  -  <i>Tristiropsis acutangula</i> <br> -  -  -  -  -  -  <i>Pometia</i> <br> -  -  -  -  -  -  -  <i>Pometia pinnata</i> <br> -  -  -  -  -  Burseraceae <br> -  -  -  -  -  -  <i>Santiria</i> <br> -  -  -  -  -  -  -  <i>Santiria laevigata</i> <br> -  -  -  -  -  -  <i>Canarium</i> <br> -  -  -  -  -  -  -  <i>Canarium decumanum</i> <br> -  -  -  -  -  -  -  <i>Canarium denticulatum</i> <br> -  -  -  -  -  -  -  <i>Canarium odontophyllum</i> <br> -  -  -  -  -  -  -  <i>Canarium pilosum</i> <br> -  -  -  -  -  -  <i>Dacryodes</i> <br> -  -  -  -  -  -  -  <i>Dacryodes rostrata</i> <br> -  -  -  -  -  -  -  <i>Dacryodes rugosa</i> <br> -  -  -  -  -  Rutaceae <br> -  -  -  -  -  -  <i>Melicope</i> <br> -  -  -  -  -  -  -  <i>Melicope confusa</i> <br> -  -  -  -  -  Anacardiaceae <br> -  -  -  -  -  -  <i>Mangifera</i> <br> -  -  -  -  -  -  -  <i>Mangifera odorata</i> <br> -  -  -  -  -  -  <i>Parishia</i> <br> -  -  -  -  -  -  -  <i>Parishia insignis</i> <br> -  -  -  -  -  -  <i>Gluta</i> <br> -  -  -  -  -  -  -  <i>Gluta aptera</i> <br> -  -  -  -  -  -  -  <i>Gluta wallichii</i> <br> -  -  -  -  -  -  <i>Melanochyla</i> <br> -  -  -  -  -  -  -  <i>Melanochyla bullata</i> <br> -  -  -  -  -  -  -  <i>Melanochyla tomentosa</i> <br> -  -  -  -  Laurales <br> -  -  -  -  -  Lauraceae <br> -  -  -  -  -  -  <i>Actinodaphne</i> <br> -  -  -  -  -  -  <i>Beilschmiedia</i> <br> -  -  -  -  -  -  -  <i>Beilschmiedia micrantha</i> <br> -  -  -  -  -  -  <i>Phoebe</i> <br> -  -  -  -  -  -  -  <i>Phoebe grandis</i> <br> -  -  -  -  -  -  <i>Litsea</i> <br> -  -  -  -  -  -  -  <i>Litsea accedens</i> <br> -  -  -  -  -  -  -  <i>Litsea angulata</i> <br> -  -  -  -  -  -  -  <i>Litsea caulocarpa</i> <br> -  -  -  -  -  -  -  <i>Litsea garciae</i> <br> -  -  -  -  -  -  -  <i>Litsea grandis</i> <br> -  -  -  -  -  -  -  <i>Litsea cordata</i> (as synonym: <i>Litsea mappacea</i>)<br> -  -  -  -  -  -  -  <i>Litsea rubiginosa</i> <br> -  -  -  -  -  -  <i>Lindera</i> <br> -  -  -  -  -  -  -  <i>Lindera lucida</i> <br> -  -  -  -  -  -  <i>Eusideroxylon</i> <br> -  -  -  -  -  -  -  <i>Eusideroxylon zwageri</i> <br> -  -  -  -  -  -  <i>Nothaphoebe</i> <br> -  -  -  -  -  -  -  <i>Nothaphoebe umbelliflora</i> <br> -  -  -  -  -  -  <i>Cryptocarya</i> <br> -  -  -  -  -  -  -  <i>Cryptocarya nigra</i> <br> -  -  -  -  -  -  -  <i>Cryptocarya nitens</i> <br> -  -  -  -  -  -  <i>Caryodaphnopsis</i> <br> -  -  -  -  -  -  -  <i>Caryodaphnopsis tonkinensis</i> <br> -  -  -  -  -  -  <i>Dehaasia</i> <br> -  -  -  -  -  -  -  <i>Dehaasia caesia</i> <br> -  -  -  -  -  -  -  <i>Dehaasia incrassata</i> <br> -  -  -  -  Magnoliales <br> -  -  -  -  -  Annonaceae <br> -  -  -  -  -  -  <i>Cyathocalyx</i> <br> -  -  -  -  -  -  <i>Monoon</i> <br> -  -  -  -  -  -  <i>Polyalthia</i> <br> -  -  -  -  -  -  -  <i>Polyalthia obliqua</i> <br> -  -  -  -  -  -  <i>Sageraea</i> <br> -  -  -  -  -  -  -  <i>Sageraea elliptica</i> <br> -  -  -  -  -  -  <i>Miliusa</i> <br> -  -  -  -  -  -  -  <i>Miliusa macropoda</i> <br> -  -  -  -  -  -  <i>Stelechocarpus</i> <br> -  -  -  -  -  -  -  <i>Stelechocarpus cauliflorus</i> <br> -  -  -  -  -  -  <i>Xylopia</i> <br> -  -  -  -  -  -  -  <i>Xylopia ferruginea</i> <br> -  -  -  -  -  -  -  <i>Xylopia stenopetala</i> <br> -  -  -  -  -  -  <i>Phaeanthus</i> <br> -  -  -  -  -  -  -  <i>Phaeanthus splendens</i> <br> -  -  -  -  -  -  <i>Maasia</i> <br> -  -  -  -  -  -  -  <i>Maasia sumatrana</i> <br> -  -  -  -  -  -  <i>Neo-uvaria</i> <br> -  -  -  -  -  -  -  <i>Neo-uvaria acuminatissima</i> <br> -  -  -  -  -  -  <i>Orophea</i> <br> -  -  -  -  -  -  -  <i>Orophea myriantha</i> <br> -  -  -  -  -  -  <i>Pseuduvaria</i> <br> -  -  -  -  -  -  -  <i>Pseuduvaria borneensis</i> <br> -  -  -  -  -  Magnoliaceae <br> -  -  -  -  -  -  <i>Magnolia</i> <br> -  -  -  -  -  -  -  <i>Magnolia borneensis</i> <br> -  -  -  -  -  -  -  <i>Magnolia liliifera</i> <br> -  -  -  -  -  -  -  <i>Magnolia tsiampacca</i> <br> -  -  -  -  -  Myristicaceae <br> -  -  -  -  -  -  <i>Knema</i> <br> -  -  -  -  -  -  -  <i>Knema glauca</i> <br> -  -  -  -  -  -  -  <i>Knema latifolia</i> <br> -  -  -  -  -  -  -  <i>Knema laurina</i> <br> -  -  -  -  -  -  -  <i>Knema oblongata</i> <br> -  -  -  -  -  -  <i>Myristica</i> <br> -  -  -  -  -  -  -  <i>Myristica smythiesii</i> <br> -  -  -  -  -  -  <i>Horsfieldia</i> <br> -  -  -  -  -  -  -  <i>Horsfieldia crassifolia</i> <br> -  -  -  -  Ericales <br> -  -  -  -  -  Primulaceae <br> -  -  -  -  -  -  <i>Ardisia</i> <br> -  -  -  -  -  -  -  <i>Ardisia macrophylla</i> <br> -  -  -  -  -  Lecythidaceae <br> -  -  -  -  -  -  <i>Planchonia</i> <br> -  -  -  -  -  -  -  <i>Planchonia brevistipitata</i> <br> -  -  -  -  -  -  <i>Barringtonia</i> <br> -  -  -  -  -  -  -  <i>Barringtonia lanceolata</i> <br> -  -  -  -  -  -  -  <i>Barringtonia macrostachya</i> <br> -  -  -  -  -  -  -  <i>Barringtonia sarcostachys</i> <br> -  -  -  -  -  Symplocaceae <br> -  -  -  -  -  -  <i>Symplocos</i> <br> -  -  -  -  -  -  -  <i>Symplocos fasciculata</i> <br> -  -  -  -  -  Ebenaceae <br> -  -  -  -  -  -  <i>Diospyros</i> <br> -  -  -  -  -  -  -  <i>Diospyros andamanica</i> <br> -  -  -  -  -  -  -  <i>Diospyros curranii</i> <br> -  -  -  -  -  -  -  <i>Diospyros daemona</i> <br> -  -  -  -  -  -  -  <i>Diospyros dictyoneura</i> <br> -  -  -  -  -  -  -  <i>Diospyros macrophylla</i> <br> -  -  -  -  -  -  -  <i>Diospyros muricata</i> <br> -  -  -  -  -  -  -  <i>Diospyros tuberculata</i> <br> -  -  -  -  -  -  -  <i>Diospyros pilosanthera</i> <br> -  -  -  -  -  Theaceae <br> -  -  -  -  -  -  <i>Pyrenaria</i> <br> -  -  -  -  -  -  -  <i>Pyrenaria tawauensis</i> <br> -  -  -  -  -  Pentaphylacaceae <br> -  -  -  -  -  -  <i>Adinandra</i> <br> -  -  -  -  -  -  -  <i>Adinandra dumosa</i> <br> -  -  -  -  -  Sapotaceae <br> -  -  -  -  -  -  <i>Payena</i> <br> -  -  -  -  -  -  -  <i>Payena acuminata</i> <br> -  -  -  -  -  -  <i>Madhuca</i> <br> -  -  -  -  -  -  -  <i>Madhuca dubardii</i> <br> -  -  -  -  -  -  -  <i>Madhuca korthalsii</i> <br> -  -  -  -  -  -  <i>Palaquium</i> <br> -  -  -  -  -  -  -  <i>Palaquium dasyphyllum</i> <br> -  -  -  -  -  -  -  <i>Palaquium sericeum</i> <br> -  -  -  -  Oxalidales <br> -  -  -  -  -  Elaeocarpaceae <br> -  -  -  -  -  -  <i>Elaeocarpus</i> <br> -  -  -  -  -  -  -  <i>Elaeocarpus floribundus</i> <br> -  -  -  -  -  -  -  <i>Elaeocarpus pedunculatus</i> <br> -  -  -  -  -  -  -  <i>Elaeocarpus stipularis</i> <br> -  -  -  -  -  -  <i>Sloanea</i> <br> -  -  -  -  -  -  -  <i>Sloanea javanica</i> <br> -  -  -  -  Myrtales <br> -  -  -  -  -  Melastomataceae <br> -  -  -  -  -  -  <i>Memecylon</i> <br> -  -  -  -  -  -  -  <i>Memecylon oleifolium</i> <br> -  -  -  -  -  Combretaceae <br> -  -  -  -  -  -  <i>Terminalia</i> <br> -  -  -  -  -  -  -  <i>Terminalia citrina</i> <br> -  -  -  -  -  -  -  <i>Terminalia foetidissima</i> <br> -  -  -  -  -  Myrtaceae <br> -  -  -  -  -  -  <i>Syzygium</i> <br> -  -  -  -  -  -  -  <i>Syzygium chloranthum</i> <br> -  -  -  -  -  -  -  <i>Syzygium elopurae</i> <br> -  -  -  -  -  -  -  <i>Syzygium grande</i> <br> -  -  -  -  -  -  -  <i>Syzygium griffithii</i> <br> -  -  -  -  -  -  -  <i>Syzygium kunstleri</i> <br> -  -  -  -  -  -  -  <i>Syzygium lineatum</i> <br> -  -  -  -  -  -  -  <i>Syzygium panzeri</i> <br> -  -  -  -  -  -  -  <i>Syzygium pustulatum</i> (as synonym: <i>Syzygium perpuncticulatum</i>)<br> -  -  -  -  -  -  -  <i>Syzygium racemosum</i> <br> -  -  -  -  -  -  -  <i>Syzygium rheophyticum</i> <br> -  -  -  -  -  -  <i>Syzygium</i> <br> -  -  -  -  -  -  -  <i>Syzygium chloranthum</i> <br> -  -  -  -  -  -  -  <i>Syzygium elopurae</i> <br> -  -  -  -  -  -  -  <i>Syzygium grande</i> <br> -  -  -  -  -  -  -  <i>Syzygium griffithii</i> <br> -  -  -  -  -  -  -  <i>Syzygium kunstleri</i> <br> -  -  -  -  -  -  -  <i>Syzygium lineatum</i> <br> -  -  -  -  -  -  -  <i>Syzygium panzeri</i> <br> -  -  -  -  -  -  -  <i>Syzygium pustulatum</i> (as synonym: <i>Syzygium perpuncticulatum</i>)<br> -  -  -  -  -  -  -  <i>Syzygium racemosum</i> <br> -  -  -  -  -  -  -  <i>Syzygium rheophyticum</i> <br> -  -  -  -  -  -  <i>Syzygium</i> <br> -  -  -  -  -  -  -  <i>Syzygium chloranthum</i> <br> -  -  -  -  -  -  -  <i>Syzygium elopurae</i> <br> -  -  -  -  -  -  -  <i>Syzygium grande</i> <br> -  -  -  -  -  -  -  <i>Syzygium griffithii</i> <br> -  -  -  -  -  -  -  <i>Syzygium kunstleri</i> <br> -  -  -  -  -  -  -  <i>Syzygium lineatum</i> <br> -  -  -  -  -  -  -  <i>Syzygium panzeri</i> <br> -  -  -  -  -  -  -  <i>Syzygium pustulatum</i> (as synonym: <i>Syzygium perpuncticulatum</i>)<br> -  -  -  -  -  -  -  <i>Syzygium racemosum</i> <br> -  -  -  -  -  -  -  <i>Syzygium rheophyticum</i> <br> -  -  -  -  -  Lythraceae <br> -  -  -  -  -  -  <i>Duabanga</i> <br> -  -  -  -  -  -  -  <i>Duabanga moluccana</i> <br></div><p></p>
Hydraulic traits are not robust predictors of tree species stem growth during a drought in a wet tropical forest
<p>Severe droughts have led to lower plant growth and high mortality in many ecosystems worldwide, including tropical forests. Drought vulnerability differs among species but there is limited consensus on the nature and degree of this variation in tropical forest communities. Understanding species-level vulnerability to drought requires examination of hydraulic traits since these reflect the different strategies species employ for surviving drought. Here we examined hydraulic traits and growth reductions during a severe drought for 12 common woody species in a wet tropical forest community in Puerto Rico to ask:</p> <p>Q1. To what extent can hydraulic traits predict growth declines during drought? We expected that species with more hydraulicly vulnerable xylem and narrower safety margins would grow less during drought.</p> <p>Q2. How do species successional association relate to levels of vulnerability to drought and hydraulic strategies? We predicted that early- and mid-successional species would exhibit more acquisitive strategies, making them more susceptible to drought than shade-tolerant species.</p> <p>Q3. What are the different hydraulic strategies employed by species and are there trade-offs between drought avoidance and drought tolerance?</p> <p>We anticipated that species with greater water storage capacity would have leaves that lose turgor at higher xylem water potential and be less resistant to embolism forming in their xylem (P50). We found a large range of variation in hydraulic traits across species; however, they did not closely capture the magnitude of growth declines during drought. Among larger trees (≥10 cm diameter at breast height—DBH), some tree species with high xylem embolism vulnerability and risk of hydraulic failure experienced substantial declines during drought but this pattern was consistent across species. We found a trade-off among species between drought avoidance (capacitance) and drought tolerating (P50) in this tropical forest community. Hydraulic strategies did not align with successional associations. Instead, some of the more drought-vulnerable species were shade-tolerant dominants in the community, suggesting that a drying climate could lead to shifts in long-term forest composition and function in Puerto Rico and the Caribbean.</p>
A direct comparison of ecological theories for predicting the relationship between plant traits and growth
<p>Despite long-standing theory for classifying plant ecological strategies, limited data directly links organismal traits to whole-plant growth rates. We compared trait-growth relationships based on three prominent theories: growth analysis, Grime's competitive-stress tolerant-ruderal (CSR) triangle, and the leaf economics spectrum (LES). Under these schemes, growth is hypothesized to be predicted by traits related to relative biomass investment, leaf structure or gas exchange, respectively. We also considered traits not included in these theories, but that might provide potential alternative best predictors of growth. In phylogenetic analyses of 30 diverse milkweeds (<em>Asclepias</em> spp.) and 21 morphological and physiological traits, growth rate (total biomass produced per day) varied 50-fold and was best predicted by biomass allocation to leaves (as predicted by growth analysis) and the CSR traits of leaf size and leaf dry matter content. Total leaf area and plant height were also excellent predictors of whole-plant growth rate. Despite two LES traits correlating with growth (mass-based leaf nitrogen and area-based leaf phosphorus contents), these were in the opposite direction predicted by LES, such that higher N and P contents corresponded to slower growth. The remaining LES traits (e.g., leaf gas exchange) were not predictive of plant growth rates. Overall, differences in growth rate were driven more by whole-plant characteristics such as biomass fractions and total leaf area than individual leaf-level traits such as photosynthetic rate or specific leaf area. Our results are most consistent with classical growth analysis - combining leaf traits with whole-plant allocation to best predict growth. However, given that destructive biomass measures are often not feasible, applying easy-to-measure leaf traits associated with the CSR classification appear more predictive of whole plant growth than LES traits. Testing the generality of this result across additional taxa would further improve our ability to predict whole-plant growth from functional traits across scales.</p>
Variation in functional traits, growth relationships, and resource allocation among annual twig of dove tree along with latitudes
<p><span>Dove tree (Davidia involucrata Baill.), a monotypic rare species in China and a famous ornamental plant in the world, was employed as a model species in our study. The morphological and biomass traits of annul D. involucrata twigs were investigated in three latitude regions (32°19′ N, 30°08′ and 27°55′) in the Sichuan, Southwest China. </span></p>
Linking trait network parameters with plant growth across light gradients and seasons
<p>1. Reduced light availability induced by eutrophication has dramatically affected the growth of submerged macrophytes and caused their rapid decline globally in lakes. Functional traits have usually been used to predict ecological processes and explain plant adaptation. Trait networks, which are constructed from a series of nodes (traits) and edges (trait-trait correlations), can reveal complex relationships among traits. Plant traits belonging to different organs are considered relevant for overall plant performance. Therefore, variation in trait network topology at the whole-plant level can better reflect plant adaptation and response to environments than traditional methods, but the mechanisms underlying the decline of plants from a trait network perspective are not well understood.</p> <p>2. In this study, based on a one-year manipulation experiment for <em>Potamogeton maackianus</em> cultured with four levels of light intensity, we constructed trait networks from 20 traits belonging to different organs.</p> <p>3. Our results showed that trait network connectivity decreases in harsh environments, probably due to increased trait modules responding independently to stress. Network connectivity was positively related to the plant relative growth rate (RGR), as high trait connectivity and coordination should be beneficial for plants to acquire and transport resources efficiently across the whole plant. Additionally, we found that specific stem length, leaf:root mass ratios, and leaf total nonstructural carbohydrates were hub traits with high connectivity. These hub traits expressed high phenotypic plasticity, had close links with plant growth, and consistently held their higher importance within the network across light gradients or seasons.</p> <p>4. We found that low phenotypic integration in stressful environments may constrain plant growth, which can provide important implications for understanding plant adaptation strategies to low-light stress and even predicting community dynamics in the context of global environmental change.</p>
Tree growth, wood properties and saccharification traits in SwAsp Populus tremula trees grown in Ekebo Sweden
<span>Background</span> <p class="MsoNormal"><span>Wood represents the majority of the biomass on land and constitutes a renewable source of biofuels and other bioproducts. However, wood is recalcitrant to bioconversion, raising a need for feedstock improvement in production of, for instance, biofuels. We investigated the properties of wood that affect bioconversion, as well as the underlying genetics, to help identify superior tree feedstocks for biorefining. </span></p> <span>Results</span> <p class="MsoNormal"><span>We recorded 65 wood-related and growth traits in a population of 113 natural aspen genotypes from Sweden. These traits included three growth and field performance traits, 20 traits for wood chemical composition, 17 traits for wood anatomy and structure, and 25 wood saccharification traits as indicators of bioconversion potential. Glucose release after saccharification with acidic pretreatment correlated positively with tree stem height and diameter and the carbohydrate content of the wood, and negatively with the content of lignin and the hemicellulose sugar units. Most of these traits displayed extensive natural variation within the aspen population and high broad-sense heritability, supporting their potential in genetic improvement of feedstocks towards improved bioconversion. Finally, a genome wide association study (GWAS) revealed 13 genetic loci for saccharification yield (on a whole tree biomass basis), with six of them intersecting with associations for either height or stem diameter of the trees.</span></p> <span>Conclusions</span> <p class="MsoNormal"><span>The simple growth traits of stem height and diameter were identified as good predictors of wood saccharification yield in aspen trees. GWAS elucidated the underlying genetics, revealing putative <span>genetic markers for bioconversion of bioenergy tree feedstocks. </span></span></p>
Decoupling of functional traits from intraspecific patterns of growth and drought stress resistance
<p>Intraspecific variation in functional traits may mediate tree species' drought resistance, yet it remains unknown if trait variation is due to genotype (G), environment (E), or GxE interactions. Understanding the drivers of intraspecific trait variation and whether variation mediates drought response can improve predictions of species' response to future drought.</p> <p>Using populations of quaking aspen spanning a climate gradient, we investigated intraspecific variation in functional traits in the field as well as the influence of G and E among propagules in a common garden. We also tested for trait-mediated trade-offs in growth and drought stress tolerance.</p> <p>We observed intraspecific trait variation among the populations, yet this variation did not necessarily translate to higher drought stress tolerance in hotter/drier populations. Additionally, plasticity in the common garden was low, especially in propagules derived from the hottest/driest population. We found no growth-drought stress tolerance trade-offs and few traits exhibited significant relationships with mortality in the natural populations, suggesting that intraspecific trait variation among the traits measured did not strongly mediate responses to drought stress.</p> <p>Our results highlight the limits of trait-mediated responses to drought stress and the complex GxE interactions that may underly drought stress tolerance variation in forests in dry environments.</p>
Soil variation response is mediated by growth trajectories rather than functional traits in a widespread pioneer Neotropical tree
<p>Description of Soil_DataTrees.csv</p> <ul> <li>Tree_label: Label of trees on the field, there are 70 trees</li> <li>Tree_site: Site on which the tree has been sampled; COU: Counami; SPA: Sparouine</li> <li>Descr_date: Date of tree sampling</li> <li>Soil_type: Type of soil; FS: ferralitic soils; WS: white-sand soils</li> <li>Soil_sample: Label of soil sample</li> <li>H2Osoil: Soil water content (g kg<sup>-1</sup>)</li> <li>Clay: Soil clay content (g kg<sup>-1</sup>)</li> <li>SiltTh: Soil thin silt content (g kg<sup>-1</sup>)</li> <li>SiltCo: Soil coarse silt content (g kg<sup>-1</sup>)</li> <li>SandTh: Soil thin sand content (g kg<sup>-1</sup>)</li> <li>SandCo: Soil coarse sand content (g kg<sup>-1</sup>)</li> <li>Csoil: Soil carbon content (g kg<sup>-1</sup>)</li> <li>Nsoil: Soil nitrogen content (g kg<sup>-1</sup>)</li> <li>CNsoil: Soil carbon:nitrogen ratio</li> <li>MOsoil: Soil organic matter content (g kg<sup>-1</sup>)</li> <li>Ptotsoil: Soil total phosphorus content (g 100g<sup>-1</sup>)</li> <li>Kcec: Soil potassium:CEC[cation-exchange capacity] ratio</li> <li>Cacec: Soil calcium:CEC ratio</li> <li>Mgcec: Soil magnesium:CEC ratio</li> <li>Nacec: Soil sodium:CEC ratio</li> <li>Alcec: Soil aluminum:CEC ratio</li> <li>Fecec: Soil iron:CEC ratio</li> <li>Mncec: Soil manganese:CEC ratio</li> <li>Hcec: Soil hydrogen:CEC ratio</li> <li>pHsoil: Soil pH (cmol kg<sup>-1</sup>)</li> <li>CECsoil: Soil cation-exchange capacity (cmol kg<sup>-1</sup>)</li> <li>Indexsoil: Soil index of fertility = (K+Ca+Mg+Na)/CEC</li> </ul> <p>K, Ca, Mg, Na, Al, Fe, Mn, H were initially measured in cmol kg<sup>-1</sup></p> <p> </p> <p>Description of Trait_DataTrees.csv</p> <ul> <li>Tree_label: Label of the tree on the field. There are 70 trees</li> <li>Tree_site: Site of sampling; COU: Counami; SPA: Sparouine</li> <li>Descr_date: Date of tree sampling</li> <li>Calendar_day: Day of the year (between 1 and 365) of tree sampling</li> <li>Soil_type: Type of the soil; FS: ferralitic soils; WS: white-sand soils</li> <li>PCA1_soil: Coordinates of the trees along the first axis of PCA (principal component analysis) with soil data, used as a quantitative soil index on FS-WS soil gradient</li> <li>mesHeight: Measured tree height (m)</li> <li>Height: Tree height based on the sum of all internodes length (m)</li> <li>Dbh: Tree diameter at height breast (cm)</li> <li>Age: Tree age (year)</li> <li>Order: Number of branching order</li> <li>Brtot: Total number of branches branching from the trunk</li> <li>Leaftot: Total number of leaves</li> <li>Fltot: Total number of inflorescences</li> <li>Acrown: Total estimated crown area (m²)</li> <li>INA1: Number of trunk internodes</li> <li>Brbear: Number of A2 bearing branches</li> <li>Brdead: Number of A2 dead branches</li> <li>Br1stH: First branching height</li> <li>Fl1stH: First flowering height</li> <li>Br1stIN: First branching node rank</li> <li>Fl1stIN: First flowering node rank</li> <li>Br1stAge: First branching age</li> <li>Fl1stAge: First flowering age</li> <li>LL: Leaf lifespan (day)</li> <li>Lpet: Petiole length (cm)</li> <li>Apet: Petiole cross-sectional area (mm²)</li> <li>Nlobe: Number of leaf lobes</li> <li>LMA: Leaf mass area (g m<sup>-2</sup>)</li> <li>Thleaf: Leaf thickness (µm)</li> <li>Aleaf: Estimated individual leaf area (cm²)</li> <li>Chlleaf: Leaf chlorophyll content (mg ml<sup>-1</sup>)</li> <li>H20resleaf: Leaf residual water content (%)</li> <li>dC13leaf: δ<sup>13</sup>C content (‰)</li> <li>Cleaf: Leaf carbon content (g kg<sup>-1</sup>)</li> <li>Nleaf: Leaf nitrogen content (g kg<sup>-1</sup>)</li> <li>CNleaf: Leaf carbon:nitrogen ratio</li> <li>Pleaf: Leaf phosphorus content (g kg<sup>-1</sup>)</li> <li>Kleaf: Leaf potassium content (g kg<sup>-1</sup>)</li> <li>WSG: Wood specific gravity (g cm<sup>-3</sup>)</li> </ul> <p> </p> <p> </p> <ul> <li>Tree_label: Label of the tree</li> <li>Soil_type: Type of the soil; FS: ferralitic soils; WS: white-sand soils</li> <li>rank_base: Rank of the internode from the base of the tree</li> <li>rank_top: Rank of the internode from the apex of the tree</li> <li>phyllochron: Phyllochron, number of days for the production of one leaf</li> <li>date: Estimated date of tree germination</li> <li>nb_day_base: Number of days since estimated germination</li> <li>nb_day_top: Age of the internode in days at tree sampling</li> <li>AS_rank_base: Rank of the annual shoot from the base of the tree</li> <li>As_rank_top: Rank of the annual shoot from the apex of the tree</li> <li>AS_nodes_base: Number of internodes per annual shoot</li> <li>AS_length_base: Length of the annual shoot (cm)</li> <li>AS_br_base: Number of A2 branches on the annual shoot</li> <li>AS_flo_base: Number of inflorescences on the annual shoot</li> <li>lg_en: Internode length (cm)</li> <li>ht_en: Cumulated height of the tree based on the sum of internode length (cm)</li> <li>ma_lgen: Moving average of internode length</li> <li>resi_lgen: Residuals of internode length</li> </ul> <p> </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: The effect of root-associated microbes on plant growth and chemical defence traits across two contrasted elevations,
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Data from: Genotypic traits and tradeoffs of fast growth in silver birch, a pioneer tree
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Growth resilience of conifer species decreases with early, long-lasting and intense droughts but cannot be explained by hydraulic traits
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Data from: Genetic and environmental (co)variation of egg size, fecundity, and growth traits in Arctic charr
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Time travelling seeds reveal that plant regeneration and growth traits are responding to climate change
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The growth traits of Trifolium pratense under unsterilized and sterilized cow dung
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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: Genetic variation in growth and leaf traits associated with local adaptation to climate in yellow birch (Betula alleghaniensis Britton)
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