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Data from: Effects of soil type and light on height growth, biomass partitioning, and nitrogen dynamics on 22 species of tropical dry forest tree seedlings: comparisons between legumes and nonlegumes
PREMISE OF THE STUDY: The seedling stage is particularly vulnerable to resource limitation, with potential consequences for community composition. We investigated how light and soil variation affected early growth, biomass partitioning, morphology, and physiology of 22 tree species common in tropical dry forest, including eight legumes. Our hypothesis was that legume seedlings are better at taking advantage of increased resource availability, which contributes to their successful regeneration in tropical dry forests. METHODS: We grew seedlings in a full-factorial design under two light levels in two soil types that differed in nutrient concentrations and soil moisture. We measured height biweekly and, at final harvest, biomass partitioning, internode segments, leaf carbon, nitrogen, δ 13 C, and δ 15 N. KEY RESULTS: Legumes initially grew taller and maintained that height advantage over time under all experimental conditions. Legumes also had the highest final total biomass and water-use efficiency in the high-light and high-resource soil. For nitrogen-fixing legumes, the amount of nitrogen derived from fixation was highest in the richer soil. Although seed mass tended to be larger in legumes, seed size alone did not account for all the differences between legumes and nonlegumes. Both belowground and aboveground resources were limiting to early seedling growth and function. CONCLUSIONS: Legumes may have a different regeneration niche, in that they germinate rapidly and grow taller than other species immediately after germination, maximizing their performance when light and belowground resources are readily available, and potentially permitting them to take advantage of high light, nutrient, and water availability at the beginning of the wet season.
Data from: Landscape genomics and a common garden trial reveal adaptive differentiation to temperature across Europe in the tree species Alnus glutinosa
The adaptive potential of tree species to cope with climate change has important ecological and economic implications. Many temperate tree species experience a wide range of environmental conditions, suggesting high adaptability to new environmental conditions. We investigated adaptation to regional climate in the drought-sensitive tree species Alnus glutinosa (Black alder), using a complementary approach that integrates genomic, phenotypic and landscape data. A total of 24 European populations were studied in a common garden and through landscape genomic approaches. Genotyping-By-Sequencing was used to identify SNPs across the genome, resulting in 1990 SNPs. Although a relatively low percentage of putative adaptive SNPs was detected (2.86% outlier SNPs), we observed clear associations among outlier allele frequencies, temperature, and plant traits. In line with the typical drought avoiding nature of A. glutinosa, leaf size varied according to a temperature gradient and significant associations with multiple outlier loci were observed, corroborating the ecological relevance of the observed outlier SNPs. Moreover, the lack of isolation-by-distance, the very low genetic differentiation among populations and the high intra-population genetic variation all support the notion that high gene exchange combined with strong environmental selection promotes adaptation to environmental cues.
Data from: Variation in population structure and dynamics of montane forest tree species in Ethiopia guide priorities for conservation and research
The greatest extent of Afromontane environments in the world is found in Ethiopia. These areas support exceptional biodiversity, but forest cover and ecological integrity have declined sharply in recent decades. Conservation and management efforts are hampered in part by an inadequate understanding of the basic ecology of major tree species. We investigated population structure and inferred population dynamics from size frequency distributions of 22 forest tree species encountered in montane forests of Ethiopia. We collected new empirical data from four sites in the Bale Mountains, where some of the country's most extensive and least disturbed forests remain, and conducted a systematic review and analysis of all such studies that reported population structure for one or more of these species in Ethiopia. Thirteen widespread montane tree species showed a reverse-J size distribution, indicating a relatively stable population structure. Six other species had size-frequency distributions that indicate episodic recruitment and/or removal of certain size classes. Specific causes of these patterns are uncertain: they may involve timber harvesting, herbivory, fire, or natural disturbances, but patterns were inconsistent and locality dependent. For three other tree species, existing data are inadequate for any interpretation of population structure and dynamics. A species of particular conservation concern that emerged from this analysis was Hagenia abyssinica, which was found in all areas to consist only of larger individuals with no recent recruitment. For management and conservation purposes, the species in most urgent need of new research are those with inadequate or inconsistent data, and H. abyssinica..
Data from: Chemical defense over decadal scales: ontogenetic allocation trajectories and consequences for fitness in a foundation tree species
1. Expression of herbivore defense traits can change dramatically during the course of plant development. Little is known, however, about the degree of genetic or sexual variation in these ontogenetic defense trajectories or whether the trajectories themselves are adaptive, especially in long‐lived species. 2. We used a 13‐year dataset of chemical defense traits, growth, and survivorship from a common garden of trembling aspen (Populus tremuloides) genotypes to document long‐term defense trajectories and their relationship to tree fitness during juvenile and early mature stages. 3. Overall, concentrations of the two principal classes of aspen defense compounds (salicinoid phenolic glycosides [SPGs] and condensed tannins [CTs]) decreased to differing degrees in foliage of juvenile trees and then remained relatively constant in maturity. Initial values, juvenile rates of change, and average mature values all exhibited significant genetic variation for both SPGs and CTs. 4. Relationships between defense trajectory parameters and metrics of tree fitness (growth and survivorship) depended on compound type and tree sex. Females with higher‐allocation SPG trajectories (high initial juvenile concentrations, slow juvenile declines, high mature concentrations) grew more slowly relative to females with lower‐allocation trajectories. In males, higher‐allocation SPG trajectories had a lesser effect on growth but were associated with reduced mortality. Juvenile CT trajectories were not correlated with tree fitness, but average CT concentration in maturity was positively related to growth in females. 5. These results suggest that ontogenetic defense trajectories are adaptive and subject to natural selection. Genotypic variation and ontogeny shape tree defensive chemistry, both independently and interactively. These patterns of defense expression have the potential to structure trophic interactions and the genetic composition of forests in both space and time.
Differences in architecture and performance between two sub-canopy congeneric tropical tree species
<p>We report architectural divergence between two congeneric tropical tree species coexisting in the same stratum which suggests different strategies: reducing self-shading and support costs, or maximizing light foraging. We found species-specific differential performance across light environments, suggesting that architectural differentiation could facilitate the coexistence of species with similar vertical habitat.</p>
FIGURE 3. Combined gene tree for Lucininae, expanded from Figure 1 in New molecular phylogeny of Lucinidae: increased taxon base with focus on tropical Western Atlantic species (Mollusca: Bivalvia)
FIGURE 3. Combined gene tree for Lucininae, expanded from Figure 1.
FIGURE 2. Combined gene tree for Codakiinae, expanded from Figure 1 in New molecular phylogeny of Lucinidae: increased taxon base with focus on tropical Western Atlantic species (Mollusca: Bivalvia)
FIGURE 2. Combined gene tree for Codakiinae, expanded from Figure 1.
Explainable few-shot learning workflow for detecting invasive and exotic tree species
<p>This is the supporting dataset of research work: <a href="Link"><strong>Explainable few-shot learning workflow for detecting</strong></a> <a href="Link"><strong>invasive and exotic tree species</strong></a>. (Link to be added after the publication) In this research, we presents a workflow that tackles both challenges by proposing an explainable few-shot learning workflow for detecting invasive and exotic tree species in the Atlantic Forest of Brazil using Unmanned Aerial Vehicle (UAV) images. By integrating a Siamese network with explainable AI (XAI), the workflow enables the classification of tree species with minimal labeled data while providing visual, case-based explanations for the predictions.</p> <p>The workflow is accessible in <a href="Link">this GitHub repository</a> (Link to be added after the publication). The required dataset of this workflow in provided in this Zenodo repository.</p> <p>This dataset repository has the following contents</p> <ul> <li> <p>uav_img.zip: the UAV orthomosaic image (.tif) of the study area used in this research, with related metadata</p> </li> <li>tree_labels.zip: the labels of trees created by expert, available in .shp and .gpkg</li> <li> <p>cutouts.zip: tree cutouts used in this study. They are two sub-directories:</p> <ul> <li>all_cutouts: all the candidated cutouts from three sources. See the README.md file insisde this folder for more information</li> <li>selected cutout: the manually selected cutouts from all cutouts used for training.</li> </ul> </li> <li> <p>training_pairs_20000.zarr.zip: training data created for base network traning. It is created by pairing the selected cutouts.</p> </li> <li>netflora.zip: Netflora workflow prediction results</li> <li>optimized_models.zip: Optimized base models (shallow and deep) and refined models with different shots/fold setup.</li> <li>n_fold_x_validation.zip: data pairs for refinement traing, with n fold and x valiation setup.</li> </ul>
Characterization of leaf transcriptome in a tropical tree species, Shorea curtisii, over a flowering season
<p><span>General flowering (GF) is a synchronous flowering event in the Southeast Asian tropical rainforests that occurs at irregular intervals of multiple years. The unpredictable intervals of GF raise conservation concerns for these under-researched forests with rich economically and ecologically important species. In this study, the leaf transcriptome of a GF species, <em>Shorea</em> <em>curtisii</em> obtained from three time points – before and after floral initiation, and post flowering stage – was sequenced. We assembled 243,759,478 sequencing reads into 39,943 non-redundant unigenes including 677 putative homologs of <em>Arabidopsis</em> <em>thaliana</em> flowering-related genes. Differential expression analysis conducted on pairwise comparisons of the time points identified 930 differentially expressed unigenes, which includes 17 flowering-related homologs. The differential expression of unigenes with significant enrichments of functions related to drought corroborated the involvement of drought as an environmental cue for GF. The outcomes of this study offer an insight into the conservation of floral regulatory genes and pathways in Shorea and could be used as a model to better understand the floral initiation cues and regulation of GF trees.</span></p>
The functional significance of tree species diversity in European forests - the FunDivEUROPE dataset
<p><span>The FunDivEUROPE project, short for "Functional Significance of Forest Biodiversity in Europe," aimed at exploring the intricate relationships between forest biodiversity and ecosystem functionality, focusing specifically on European forests. The project was a collaborative effort involving scientists from multiple disciplines and institutions. It entailed a comprehensive, large-scale assessment of forest biodiversity and its impact on ecosystem functions in a network of observational plots spanning the European continent. This extensive network enabled us to systematically examine how variations in tree species diversity and functional traits influenced key ecosystem functions.</span></p> <p><span>In total, 209 mature forest plots measuring 30 x 30 meters were located</span> <span>in six European countries, ranging from boreal to Mediterranean zones, with each representing a major European forest type: Finland (boreal forest), Poland (hemiboreal forest), Germany (temperate deciduous forest), Romania (mountainous deciduous forest), Italy (thermophilous deciduous forest), and Spain Mediterranean mixed forest). Richness levels of one, two, three, four, and five target species were replicated within and across regions.</span></p> <p><span>A major strength of the FunDivEUROPE project was the general philosophy to measure all ecosystem functions in all plots, following the same protocol by the same observers across the six forest types. In each of the 209 plots, 27 ecosystem functions were measured.</span></p> <p><span>Here, we present data on a high number of basic data for each of the 209 plots, describing geographic and geomorphological, as well as soil and bedrock characteristics, climate variables, and several measures of tree diversity. We further show data of the 27 ecosystem functions, which were classified into six groups reflecting basic ecological processes, and which have established links to supporting, provisioning, regulating or cultural ecosystem services. Details about the measurement protocols are provided.</span></p> <p><span>Major results from the FunDivEUROPE project shed light on the fundamental importance of biodiversity in European forests. The project revealed that diverse forests tend to be more resilient to disturbances, sequester more carbon, and provide enhanced diversity of forest-associated taxa. Moreover, the study highlighted the crucial role of particular tree species and functional traits in shaping ecosystem services and functions. The findings of FunDivEUROPE thus offer insights for forest management and conservation practices, advocating for the preservation and restoration of diverse forest ecosystems.</span></p>
Figure 6. Majority–rule consensus tree from 8 in A new species of the genus Lightiella: the first record of Cephalocarida (Crustacea) in Europe
Figure 6. Majority–rule consensus tree from 8 primary trees.
Diversity, species coexistence, and functional composition patterns in subtropical Atlantic Forests invaded by non-native trees
<ol> <li>Biological invasions are a major environmental challenge today. Interactions between invasive and native species can significantly shape community structures, influencing co-existence, diversity, and functional composition of species. The subtropical Atlantic forest in southern Brazil, a recognized biodiversity hotspot, provides a unique setting to study these interactions, given its vulnerability to alien tree invasions. </li> <li>Our study sought to elucidate the impacts of such invasions on this fragile ecosystem by addressing key questions: 1) How are tree community diversity patterns affected by the abundance of invading alien tree species? 2) What are the patterns of coexistence between native and alien invasive trees? 3) Is the functional composition of the forests altered by the abundance of invasive trees?</li> <li>To address these questions, we compiled data on the abundance and functional traits of native and invasive trees. We determined the diversity patterns and functional composition of plots with different degrees of invasion. These data were analyzed using Generalized Linear Mixed Models, Principal Component Analysis, and a coexistence index.</li> <li>In plots with a higher abundance of invasive trees, there was a significant decrease in the taxonomic and functional richness of native species. Furthermore, we observed that invasive alien trees coexisted with native species, and as the abundance of invasive trees increased, the native community weighted mean (CWM) of the leaf area and specific leaf area decreased.</li> <li>In conclusion, within the subtropical Atlantic forest areas of southern Brazil, our findings highlight that the abundance of invasive trees adversely affects the taxonomic and functional richness of native species. Furthermore, while invasive alien trees were found to coexist with native species, increased invasive abundance corresponded to a reduction in the leaf area and the specific leaf area of the native community.</li> </ol>
Data for: Foliar spectra accurately distinguish most temperate tree species and show strong phylogenetic signal.
<p>Gene supermatrix and partitions used for Blanchard, F., Bruneau, A., Laliberté, E. (2023). Foliar spectra accurately distinguish most temperate tree species and show strong phylogenetic signal. <i>Am.J.Bot</i>., [Submitted]. See text for more information.</p><p>All leaf spectral and trait data can be found at https://data.caboscience.org/leaf/</p>
Data from "Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests"
<p>This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper. </p><p> </p><p>Data were collected for the Baccara project, by Elena Granda, Raquel Benavides, Sonia Rabasa, Georges Kunstler, and Marco Heurich. </p>
Sapflow and stomatal conductance data in 3 savanna tree species
<p>This dataset includes both sap flow and stomatal conductance data for 3 woody savanna species (11 individuals of <em>Colophospermum mopane</em>, and each 9 of both <em>Senegalia mellifera</em> and <em>Catophractes alexandri</em>). Each data point contains information on a browsing level that has been manually applied to an individual plant plus information on environmental conditions.</p>
Data from: Phylogenetic conflict between species tree and maternally inherited gene trees in a clade of Emberiza buntings (Aves: Emberizidae)
<p>Different genomic regions may reflect conflicting phylogenetic topologies on account of incomplete lineage sorting and/or gene flow. Genomic data are necessary to reconstruct the true species tree and explore potential causes of phylogenetic conflict. Here, we investigate the phylogenetic relationships of four <em>Emberiza</em> species (Aves: Emberizidae) and discuss the potential causes of the observed mitochondrial non-monophyly of <em>Emberiza godlewskii</em> (Godlewski's bunting) using phylogenomic analyses based on whole genome resequencing data from 41 birds. Phylogenetic analyses based on both the whole mitochondrial genome and ~39 kilobases from the non-recombining W chromosome reveal that the northern and southern populations of <em>E. godlewskii</em> are each sister to <em>E. cioides</em> and <em>E. cia</em>, respectively. In contrast, phylogenetic analysis based on genome-wide data support the monophyly of <em>E. godlewskii</em> with the following tree topology: (((<em>E. godlewskii</em>, <em>E. cia</em>), <em>E. cioides</em>), <em>E. jankowskii</em>).<em> </em>Using D-statistics, we detected multiple gene flow events among different lineages, indicating pervasive introgressive hybridization within this clade. Introgression from an unsampled lineage that is sister to <em>E. cioides</em> or introgression from an unsampled mitochondrial + W chromosomal lineage of <em>E. cioides</em> into northern <em>E. godlewskii </em>may explain the phylogenetic conflict between the species tree estimated from genome-wide data and mtDNA/W trees. These results underscore the importance of using genomic data for phylogenetic reconstruction and species delimitation.</p>
Data from: ASTRAL: genome-scale coalescent-based species tree estimation
<p>Species trees provide insight into basic biology, including the mechanisms of evolution and how it modifies biomolecular function and structure, biodiversity and co-evolution between genes and species. Yet, gene trees often differ from species trees, creating challenges to species tree estimation. One of the most frequent causes for conflicting topologies between gene trees and species trees is incomplete lineage sorting (ILS), which is modelled by the multi-species coalescent. While many methods have been developed to estimate species trees from multiple genes, some which have statistical guarantees under the multi-species coalescent model, existing methods are too computationally intensive for use with genome-scale analyses or have been shown to have poor accuracy under some realistic conditions.</p> <p>Results: We present ASTRAL, a fast method for estimating species trees from multiple genes. ASTRAL is statistically consistent, can run on datasets with thousands of genes and has outstanding accuracy—improving on MP-EST and the population tree from BUCKy, two statistically consistent leading coalescent-based methods. ASTRAL is often more accurate than concatenation using maximum likelihood, except when ILS levels are low or there are too few gene trees.</p>
Patterns in the genetic structure of 49 lowland rain forest tree species co-distributed on opposite sides of the Northern Andes
<p>The Andes are a major dispersal barrier for lowland rain forest plants and animals, yet hundreds of lowland tree species are distributed on both sides of the Northern Andes, raising questions about how the Andes influenced their biogeographic histories and population genetic structure. To explore these questions, we generated standardized datasets of thousands of SNPs from paired populations of 49 tree species co-distributed in rain forest tree communities located in Panama and Amazonian Ecuador and calculated genetic diversity (<em>π</em>) and absolute genetic divergence (<em>d</em><sub>XY</sub>) within and between populations, respectively. We predicted (1) higher genetic diversity in the ancestral source region (east or west of the Andes) for each taxon, and (2) correlation of genetic statistics with species attributes, including elevational range and life-history strategy. We found that genetic diversity was higher in putative ancestral source regions, possibly reflecting founder events during colonization. We found little support for a relationship between genetic divergence and species attributes except that species with higher elevational range limits exhibited higher <em>d</em><sub>XY</sub>, implying older divergence times. One possible explanation for this pattern is that dispersal through mountain passes declined in importance relative to dispersal via alternative lowland routes as the Andes experienced uplift. We found no difference in mean genetic diversity between populations in Central America and the Amazon. Overall, our results suggest that dispersal across the Andes has left enduring signatures in the genetic structure of widespread rain forest trees. We outline additional hypotheses to be tested with species-specific case studies.</p>
Foliar endophyte diversity in eastern Asia-eastern North America disjunct tree species – Influences of host identity, environment, phylogeny, and geographic isolation
<p><span>The well-known eastern Asia (EA) and eastern North America (ENA) floristic disjunction provides a unique system for biogeographic and evolutionary studies. Despite considerable interest in the disjunction, few studies have investigated the patterns and their underlying drivers of allopatric divergence in sister species or clades isolated in the two areas. Endophyte diversity and assembly in disjunct sister taxa, as an ecological trait, may have played an important role in the processes of allopatric evolution, but no studies have examined endophytes in these disjunct lineages. In this study, we compared foliar endophytes (including both fungi and bacteria) in 17 EA-ENA disjunct species pairs from genera representing conifers and major clades of angiosperms, as well as 23 species of </span><em>Cornus</em> from the US and China. We sequenced the ITS of fungi and 16S rDNA of bacteria to understand the composition of the endophyte community and gain insights into the relative roles of geographic isolation, host identity, phylogeny, and environment in shaping endophytic diversity patterns. We detected a much richer fungal than bacterial community in leaves of all species. Beta diversity varied greatly among individuals within species, between species, among genera, and among three natural environmental conditions. Based on a principal coordinates analysis, we found no close clustering of endophyte communities in samples from the same host plant species, from the same genus, or from the same geographic origin (i.e. EA or ENA) (when plants were grown in the same common garden), but we did detect clustering of samples from plants grown in the same environment (i.e., same geographic location). We observed separation of microbes in plant samples of the same species grown in different locations/environments. However, pooled samples across all species from the common garden with the same geographic origin (EA vs. ENA) showed a moderate level of dissimilarity in fungal endophytes between EA and ENA. An overall significant correlation between endophyte community dissimilarity and phylogenetic distance was detected among the disjunct genera but not among species of <em>Cornus</em>. However, significant correlation between order, family, and genera of endophytes and phylogenetic distance of Cornus species was observed. We also found no significant differences in Foliar Endophytic Fungal (FEF) communities between counterparts of disjunct species pairs in EA and ENA in most genera except in <em>Liriodendron</em> and <em>Cornus</em>, although the beta diversity within genera is high. Our results suggest important roles of host identity and environment (geographic locations), and a likely minor role of phylogenetic divergence and biogeographic isolation in shaping the pattern of foliar endophyte diversity and assembly in the EA-ENA disjunct genera, as well as in <em>Cornus</em>. The results further suggest that the sister taxa in EA and ENA are likely different in their foliar endophyte composition when growing in their native habitats due to differences in geographic locations and local environments, which is potentially a factor driving allopatric divergence of species functional features. This hypothesis can be tested by analysis of samples from native habitats.</p>
Predictive mapping of tree species assemblages in an African montane rainforest
<p>Conservation of mountain ecosystems can benefit from knowledge of habitats and their distribution patterns. This benefit is particularly true for diverse ecosystems with high conservation values such as the "Afromontane" rainforests. We mapped the vegetation of one such forest: the rugged Bwindi Impenetrable Forest, Uganda—a World Heritage Site known for its many restricted-range plants and animal taxa including several iconic species. Given variation in elevation, terrain and human impacts across Bwindi, we hypothesised that these factors influence the composition and distribution of tree species. To test this, detailed surveys were carried out using stratified random sampling. We established 289 georeferenced sample sites (each with 15 trees ≥20 cm dbh) ranging from 1,320 to 2,467 m a.s.l. and measured 4,335 trees comprising 89 species that occurred in four or more sample sites. These data were analysed against twenty-one digitally mapped biophysical variables using various analytical techniques including non-metric multidimensional scaling (NMDS) and random forests. We identified six tree species assemblages with distinct compositions. Among the biophysical variables, elevation had the strongest correlation with the ordination (r<sup>2</sup>=0.5; <em>p</em><0.001). The "out-of-bag" (OOB) estimate of the error rate for the best final model was 50.7% meaning that nearly half of the variation was accounted for using a limited set of variables. We demonstrate that it is possible to predict the spatial pattern of such a forest based on sampling across a highly complex landscape. Such methods offer accurate mapping of composition that can guide conservation.</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.