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FIG. 3 in Cryptosepalum korupense Burgt, sp. nov. (Leguminosae, Caesalpinioideae), a tree species from the Southwest Region in Cameroon
FIG. 3. ― Distribution of Cryptosepalum korupense Burgt, sp. nov.
FIG. 5 in Cryptosepalum korupense Burgt, sp. nov. (Leguminosae, Caesalpinioideae), a tree species from the Southwest Region in Cameroon
FIG. 5. ― Distribution of Cryptosepalum staudtii Harms.
Figure 2 in Do male tree frogs feed during the breeding season? Stomach flushing of five syntopic hylid species in Rio Grande do Sul, Brazil
Figure 2. Frequency of animal items ingested by 50 calling male frogs per species.
Figure 1 in Do male tree frogs feed during the breeding season? Stomach flushing of five syntopic hylid species in Rio Grande do Sul, Brazil
Figure 1. Frequency of animal and plant items ingested by 50 calling male frogs per species.
Tree species richness differentially affects the chemical composition of leaves, roots and root exudates in four subtropical tree species - Sampling Raw Data
<p>Sampling Raw Data for the manuscript "<strong>Tree species richness differentially affects the chemical composition of leaves, roots and root exudates in four subtropical tree species </strong>" </p> <p>R Code for producing the sunburst plots from the data obtained by classyFire</p> <p> </p>
FIGURE 3 in Phytophagous and predatory mites on olive trees in Tunisia. Catalogue, description of one new species and key for identification (Acari, Eriophyidae, Tetranychidae, Tenuipalpidae and Phytoseiidae)
FIGURE 3: Calyx of the spermatheca (a), Chelicera (b) and Macrosetae on leg IV (c) of the female of Typhlodromus (Anthoseius) mathieui n. sp.
Public dataset to : Physiological and climate controls on foliar mercury uptake by European tree species
<p>Foliar Hg concentrations and daily foliar Hg uptake rates at > 200 forest plots of the ICP Forests Biomonitoring Network (http://icp-forests.net/) in 2015 and 2017.</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>
DNA alignment and resulting bayesian trees of Epithelantha and sister species
<p><span> The use of environmental variables to explain the evolution of lineages has gained relevance in recent studies. Additionally, it has allowed the recognition of species by adding more characters to morphological and molecular information. This study focuses on identifying environmental and landscape variables that have acted as barriers that could have influenced the evolution of <i>Epithelantha</i> species and its close genera.</span></p> <p><span>Our results show that soil pH, isothermality, temperature seasonality, and annual precipitation have a significant phylogenetic signal for <i>Epithelantha</i>. Soil type and landforms are also relevant as ecological barriers that maintain the identity of <i>Epithelantha</i> species.</span></p> <p><span>The variables associated with the soil (pH) have influenced the evolution of <i>Epithelantha</i> and probably in other genera of Cactaceae. Additionally, <i>Epithelantha</i> is frequent in the piedmont and haplic kastanozems. Bioclimatic variables reinforce the recognition of <i>E. micromeris</i> and <i>E. cryptica</i> as independent species. Therefore, ecology can be considered as a factor to explain the high level of endemism in Cactaceae.</span></p>
Alignments and phylogenetic tree from: A new endemic species of Loasa ser. Macrospermae from northern Chile
<p><span></span></p> <p>Alignments used for the phylogenetic work and raw phylogenetic trees obtained.</p> <p>A new species of Loasa, endemic to the northern Andes of Chile is described and evaluated, under the IUCN criteria for conservation, as critically endangered. Molecular analyses based on plastid markers place the new species within the Loasa ser. Macrospermae, with high support, and specifically as sister to Loasa acerifolia. A key to and comparative plates including all the 13 known species of Loasa ser. Macrospermae, are provided.</p>
Data for: Phosphorus limitation of early growth differs between nitrogen-fixing and non-fixing dry tropical forest tree species
<p>Tropical forests are often characterized by low soil phosphorus (P) availability, suggesting that P limits plant performance. However, how seedlings from different functional types respond to soil P availability is poorly known but important for understanding and modeling forest dynamics under changing environmental conditions.</p> <p>We grew four nitrogen (N)-fixing Fabaceae and seven diverse non-N-fixing tropical dry forest tree species in a shade house under three P fertilization treatments, and evaluated carbon (C) allocation responses, P demand, P-use, investment in P acquisition traits, and correlations among P acquisition traits.</p> <p>N-fixers grew larger with increasing P addition in contrast to non-N-fixers, which showed fewer responses in C allocation and P-use. Foliar P increased with P addition for both functional types, while P acquisition strategies did not vary among treatments but differed between functional types, with N-fixers showing higher root phosphatase activity (RPA) than non-fixers.</p> <p>Growth responses suggest that N-fixers are limited by P, but non-fixers may be limited by other resources. However, regardless of limitation, P acquisition traits such as mycorrhizal colonization and RPA were non-plastic across a steep P gradient. Differential limitation among plant functional types has implications for forest succession and earth system models.</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>
Data from: Hedging at the rear edge: Intraspecific trait variability drives the trajectory of marginal populations in a widespread boreal tree species
<p>Rear-edge populations at the warm margin of species distribution are small, isolated and face environmental conditions at the limit of species bioclimatic envelope. Intraspecific phenotypic variation contributing to the persistence of peripheral populations is expected to become increasingly important under future climate conditions in order to avoid local extirpation where range shifts lag behind climate change velocity.</p> <p>We investigated the putative role of intraspecific phenotypic variation for the maintenance of rear-edge populations of fire-prone jack pine (<em>Pinus banksiana</em>), an obligate pyriscent boreal species. We assessed whether variation in cone serotiny is associated with the population trajectory of marginal stands located south of the boreal biome, in the temperate forest where natural wildfires are infrequent and unpredictable. To this end, we estimated stand-scale serotiny, minimal age and tree size structure in 26 jack pine stands from the rear edge (n = 17 sites) and the core (n = 9 sites) of the species' range in eastern Canada.</p> <p>On average, rear-edge jack pine populations are less serotinous albeit more variably compared to range-core populations where serotiny is more uniformly high. Rear-edge stands are generally older and display reverse J-shape tree size structure indicative of a multi-aged demographic equilibrium, whereas range-core stands are younger and show a unimodal stand structure depicting a single aging cohort generally lacking interfire recruitment. Eco-evolutionary dynamics shifts from a dependency on wildfires in range-core populations to stands that can regenerate and persist without recurrent fires at the rear edge, where stand-scale serotiny reaches values below 85%.</p> <p>Synthesis: Unlike range-core populations, rear-edge jack pine populations can locally rely on a dual life-history strategy to ensure both steady recruitment during fire-free intervals and successful postfire regeneration. This capacity to cope with infrequent and unpredictable fire regime should increase the resilience and resistance of jack pine populations as global changes alter fire dynamics of the boreal forest. More generally, unique intraspecific phenotypic variation in rear-edge populations contributes to long-term species persistence in marginal environmental conditions that might scale up with global changes. The conservation of rear-edge populations and their genetic legacy appears crucial for the resilience of species.</p>
Data from: Genetic divergence along a climate gradient shapes chemical plasticity of a foundation tree species to both changing climate and herbivore damage
<p><span>Climate change is threatening the persistence of many tree species via independent and interactive effects on abiotic and biotic conditions. In addition, changes in temperature, precipitation, and insect attacks can alter the traits of these trees, disrupting communities and ecosystems. For foundation species such as <em>Populus</em>, phytochemical traits are key mechanisms linking trees with their environment and are likely jointly determined by interactive effects of genetic divergence and variable environments throughout their geographic range. Using reciprocal Fremont cottonwood (<em>Populus</em> <em>fremontii</em>) common gardens along a steep climatic gradient, we explored how environment (garden climate and simulated herbivore damage) and genetics (tree provenance and genotype) affect both foliar chemical traits and the plasticity of these traits. We found that: 1) Constitutive and plastic chemical responses to changes in garden climate and damage varied among defense compounds, structural compounds and nitrogen. 2) For both defense and structural compounds, plastic responses to garden climate depended on the climate in which a population or genotype evolved. Specifically, trees originating from cool provenances showed higher defense plasticity in response to climate changes than trees from hotter provenances. 3) Trees from cool provenances growing in cool conditions expressed the lowest constitutive defense levels but the strongest induced (plastic) defenses. 4) The combination of hot growing conditions and simulated herbivory switched the strategy used by these genotypes, increasing constitutive defenses but erasing the capacity for induction. Because Fremont cottonwood chemistry plays a major role in shaping riparian communities and ecosystems in the southwestern US, the effects of changes in phytochemical traits can be wide-reaching. As the southwestern US is confronted with warming temperatures and insect outbreaks, these results improve our capacity to predict ecosystem consequences of climate change and inform selection of tree genotypes for conservation and restoration purposes. </span></p>
Spatial patterns of light-demanding tree species in the Yangambi rainforest (Democratic Republic of Congo)
<p>We are studying the factors of spatial distribution of light-demanding tree species in an undisturbed natural forest to contribute to the elucidation of the enigma of the persistence of light-demanding tree species in the canopy of the Congo Basin rainforests. Our objective was to analyze the current spatial distribution combined with the spatial autocorrelation of light-demanding stems species and to carry out a Canonical Correspondence Analysis (CCA) to discuss the role that different factors may have played in determining the observed spatial pattern. These species were subdivided into three regeneration guilds, based on their growth speed and longevity: short-lived pioneer (SLP), long-lived pioneer (LLP), and non-pioneer light-demanding (NPLD) species. We also compared the distribution of these species to that of <i>Gilbertiodendron</i> <i>dewevrei</i>, a typical extremely aggregative and locally hyperdominant shade-tolerant species. For this purpose, we carried out a selective inventory of all stems (at least 10 cm DBH) of light-demanding species in the forest around the Moni River, an area rich in individuals of light-demanding species. This inventory was carried out along eight transects equidistant by 450 m. The total length of these transects was 50.125 km (an area of 250.625 ha). The sampling units consisted of contiguous plots (200 m x 50 m) centered on the transect (long side parallel to the transect). Each plot was divided into 8 sub-plots of 25 m x 50 m. The parameters directly measured in the field were diameter at breast height (DBH), wetland indicators, topography, and slope. The last three parameters were measured in each sub-plot. The wetland indicators were spring, stream (stream 1 to about 3 m wide that can be forded), river (stream more than 3 m wide and that cannot be forded), temporary or periodically flooded swamp, permanent swamp, and absence of wetland. The modalities of the topography parameter were ridge, plateau, slope break, upward slope, downward slope, and lowland. The slope was measured using the SUUNTO clinometer. The longitude and latitude were deduced from the Cartesian coordinates (X and Y) of each tree, which were measured directly during the inventory. The altitude and distance from the nearest watercourse were deduced from the Geographic Information System (GIS). The altitude was derived from the digital terrain model of the Yangambi region, while the distance to the nearest watercourse was derived from a distance to watercourses map of the Yangambi region.</p>
Higher spring phenological sensitivity to forcing temperatures of Asian compared to European tree species under low and high pre-chilling conditions Datasets
<p>Winter chilling, spring forcing temperature and photoperiod are the most important drivers explaining the spatial and temporal variability of spring phenology in temperate trees. However, how these factors interact with each other on dormancy release and spring budburst date remains unclear and varies greatly depending on species. Our knowledge is also limited as to whether heat accumulation of forcing temperatures that trigger bud break in spring is a linear or non-linear process. Here, we aimed at experimentally quantifying the effect of chilling, forcing, photoperiod and their interactions on the budburst dates of nine different temperate tree species from East Asia (near Beijing, China) and Central Europe (near Zurich, Switzerland), including six phylogenetically related species (same genus). We conducted a full factorial experiment in climate chambers using two chilling (low and high, i.e., 0 vs. 56 days at 2C after sampling at the end of December), four forcing (5, 10, 15, and 20C), and two photoperiod (8 vs. 16 h) treatments simultaneously in Beijing and Zurich. We found that species growing near Beijing responded more readily to forcing conditions than species of the same genus growing near Zurich regardless of chilling treatment. Budburst timing of most species but European beech was marginally, if at all, affected by photoperiod. Furthermore, our results suggest that linear heat accumulation, as commonly used with the growing degree hours (GDH) model, could result in accurate prediction of budburst date depending on the temperature threshold used as a basis for heat accumulation. Our results also demonstrate the important role of chilling in shaping the sensitivity and rate of forcing accumulation to trigger budburst and suggest that species-specific sigmoid relationship for accumulating heat that accounts for prior chilling exposure may yield better predictions of budburst dates. Our results suggest that deciduous trees may have adapted their chilling and forcing requirements in regards to the predictability of winter-spring transition and late spring frosts. A less predictable winter-spring transition, as observed in Central Europe, could have driven species evolution towards higher chilling and forcing requirements compared to species growing in a more predictable climate of Northeastern Asia. Our cross-continental experiment therefore suggests that the spring phenology of East Asian species is tighter coupled to spring forcing temperature than Central European forests.</p>
Data and R scripts for: Ant invasions is associated with lower root density and different root distribution of a foundational savanna tree species
<p>Some invasive ants have worldwide distributions and impose substantial impacts on human society and native biodiversity. Yet we know little about how ants impact soil ecosystems in general, much less how soil ecosystems shift when invasive ants move in. We excavated the coarse roots of a monodominant savanna tree in invaded and uninvaded areas to test the hypothesis that the presence of invasive ants would be associated with changes in root distribution and biomass across the landscape. We found that in the presence of invasive ants, trees had a shifted distribution of lateral coarse roots, with proportionally less root biomass near the surface and far from tree stems. In addition, the density of lateral coarse-root biomass was ~20% lower for trees within invaded landscapes. Our results suggest that soil-nesting invasive ants can drive important changes in rooting strategy for a tree species that serves a foundational role in the biogeochemical cycles of vertisol savannas.</p>
Data from: Species identity and cave-dwelling tree hyraxes of the Kenyan coast
<p><span>The eastern tree hyrax is thought to be a solitarily living arboreal species of the forests of East Africa. However, on the coast of Kenya, indigenous forests have been almost entirely cleared, and some of the last tree hyrax populations live in limestone rocky formations and caves. Interestingly, they seem to be living in social groups. Here, we describe and document photographically these unique tree hyrax populations. We also describe their acoustical communication and their calling activity in three different habitats. Based on these animals' physical appearance and acoustic analyses of their calls, they represent the species eastern tree hyrax, <em>Dendrohyrax</em> <em>validus</em>. Due to immence pressure from humans, the future of these small and isolated, cave-living tree hyrax populations does not seem bright.</span></p>
A 'Get-Save-Return' process continuum runs on phosphorus economy among subtropical tree species
1. Plants allocate nutrients to new leaves via making a cost-benefit trade-off between root nutrient absorption ('get') and leaf nutrient resorption ('save'). This active trade-off in nutrient acquisition pathways may cause a passive trade-off between resorption and decomposition ('return'). However, whether these nutrient-associated processes are linked and form a 'get-save-return' (GSR) continuum, and its linkages with the aboveground leaf economics spectrum (LES) and the belowground mycorrhizal association remain unclear. 2. Here, we present the first empirical evidence of a direct link among multiple nutrient-associated processes and tested this continuum hypothesis by synchronously integrating root nutrient absorption, leaf nutrient resorption, and leaf litter decomposition of 15 co-occurring tree species hosting either arbuscular mycorrhizal or ectomycorrhizal fungi in subtropical forests of China. 3. Across species, there was an active trade-off between phosphorus (P) absorption and resorption, which further caused a passive trade-off between P resorption and leaf litter decomposition, indicating that the GSR continuum exists and runs on P economy. However, these processes associated with nitrogen economy were not well-linked. Interestingly, the loading scores of species on the LES were positively correlated with root P absorption, negatively with leaf P resorption, and positively with leaf litter decomposition. These linkages indicate that species running in the 'fast lane' had greater root P absorption, lower leaf P resorption, and faster leaf litter decomposition than species running in the 'slow lane', and that the process-based GSR continuum follows the trait-based 'fast-slow' LES. Furthermore, the continuum on P economy emerged evidently in the ectomycorrhizal tree species rather than in the arbuscular mycorrhizal tree species, indicating critical control of mycorrhizal association over the continuum. 4. Synthesis. Overall, these results demonstrate the existence of the GSR continuum on tree P economy, which conforms to the economics spectrum theory but varies with mycorrhizal association type. Our findings provide a process-based framework for mechanistic understanding of the whole plant nutrient economy and ecosystem nutrient cycling, and facilitate improved predictions of biogeochemical models. --
Leaf decomposition, flammability and functional trait data for tropical swamp forest tree species
<p>Decomposition and fire are major carbon pathways in many ecosystems, yet the contribution of species identity to these processes can be difficult to predict. Plant decomposability and flammability have usually been studied separately but could be linked through shared predictive traits. We explored how decomposability and flammability were related to each other and to key plant functional traits in a tropical swamp forest in Singapore.</p> <p>Full methodological details <em>in situ</em> decomposition experiment in Nee Soon freshwater swamp forest, Singapore, laboratory flammability experiment, and leaf functional trait measurements can be found in the published article and supporting information stated below.</p> <p>Nur E. B. Rahman, Stuart W. Smith, Weng Ngai Lam, Kwek Yan Chong, Matthias S. E. Chua, Pei Yun Teo, Daniel W. J. Lee, Shi Yu Phua, Cheryl Y. Aw, Janice S. H. Lee, David A. Wardle. Leaf decomposition and flammability are largely decoupled across species in a tropical swamp forest despite sharing some predictive leaf functional traits. <em>New Phytologist</em></p> <p>In this data repository, we have uploaded the following decomposition, flammability and trait data as well as secondary data used in our statistical analyses to generate the findings presented in the paper. Specific datasets include the following:</p> <ul> <li>litter_mass_loss.csv : raw data of leaf litterbag dry masses before and after 1 year in situ decomposition experiment in Nee Soon Swamp Forest</li> <li>flammability_leaf_temperature.csv : raw data of temperature recorded during flammability experiments of leaf litter and fresh leaves</li> <li>flammability_timings.csv : raw data of timings of flammability events, namely smouldering and pyrolysis recorded from video footage of flammability experiments</li> <li>senesced_leaf_dryweights_area.csv : senesced leaf raw data for calculating physical traits</li> <li>senesced_leaf_dryweights.csv: senesced leaf dry weights raw data</li> <li>freshtraits_measurements.csv: fresh leaf raw data for calculating physical traits</li> <li>decomposition_constants.csv: derived decomposition constants (k) for each species from the analysis of decomposition experiments.</li> <li>functional_traits_z_standardized.csv : all traits required for the analysis, consolidated following z-standardized transformation</li> <li>functional_traits_untransformed_decomposition_flammability.csv : all traits required for the analysis, untransformed (for back transforming axis labels) and species decomposition and flammability variables</li> </ul> <p>Raw leaf litter mass loss and leaf flammability data are associated meta-data file explaining the column headers and variables. For all other datasets please refer to the paper and supporting information.</p>
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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.