Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
60
datasets available to search
ShareScore release 0.9.0
Dataset results
60 results for “forest tree community”
Tree-Associated Fungal and Bacterial Communities at Harvard Forest 2021
Cities are investing in tree-planting initiatives to protect their citizens from climate change-related heat and pollution exposure, yet Boston’s street trees are growing nearly four times as fast and dying twice as young as Massachusetts’ rural forest trees. Our research aims to characterize the belowground variables and microbial community composition that might explain the differences in growth and mortality rates observed between urban and rural trees. In 2021, soil, leaf, and root samples were taken from 25 trees in Harvard Forest to use as a rural comparison to Boston’s street trees and trees in other forests along an urban-to-rural gradient from Boston into Western Massachusetts. At each tree, three 12” deep, 2.4-centimeter radius soil cores were taken within the drip line, and soil cores were divided into the top 6” and lower 6” of soil. Fine roots were picked from each soil core. Six leaf samples were taken from the mid-canopy of each tree, where possible. Soil variables including temperature, moisture, percent organic matter, soluble nitrogen availability, bulk density, and root biomass were measured. Thus far, we have found that urban trees have fewer roots than Harvard Forest trees (F1,252) = 10.88, p = 0.0011), and that urban trees establish more root biomass deeper into the soil than Harvard Forest trees (p = 4.84e-5).
Data from: Choosy beetles: how host trees and southern boreal forest naturalness may determine dead wood beetle communities
<p>See methods section of paper for detailed information on dataset and sources; briefly, these .csv files includes numbers of each beetle species captured at all sites used in the project, as well as information about each site and about each species.</p> <p> </p> <p>Data from:</p> <p><strong>Choosy beetles: how host trees and southern boreal forest naturalness may determine dead wood beetle communitie</strong><strong>s</strong></p> <p>Ryan C. Burner, Tone Birkemoe, Jörg G. Stephan, Lukas Drag, Jörg Muller, Otso Ovakainen, Mária Potterf, Olav Skarpaas, Tord Snall, Anne Sverdrup-Thygeson</p> <p>Forest Ecology and Management, 2021</p> <p> </p> <p>From abstract of paper:</p> <p>Wood-living beetles make up a large proportion of forest biodiversity, and contribute to important ecosystem services, including decomposition. Beetle communities in managed southern boreal forests are less species rich than in natural and near-natural forest stands. In addition, many beetle species rely primarily on specific tree species. Yet, the associations between individual beetle species, forest management category, and tree species are seldom quantified, even for red-listed beetles. We compiled a beetle capture dataset from flight intercept traps placed in Norway spruce (<em>Picea abies</em>), oak (<em>Quercus sp.</em>), and Eurasian aspen (<em>Populus tremulae</em>) trees in 413 sites in mature managed forest, near-natural forest, and clear-cuts in southeastern Norway. We used joint species distribution models to estimate the strength of associations for 368 saproxylic beetle species (including 20 vulnerable, endangered, or critical red-listed species) for each forest management category and tree species. Tree species on which traps were mounted had the largest effect on beetle communities; oaks had the most highly associated beetle species, including most of the red-listed species, followed by Norway spruce and Eurasian aspen. Most beetle species were more likely to be captured in near-natural than in mature managed forest. Our estimated associations were compatible – for many species – with categorical classifications found in several existing databases of saproxylic beetle preferences. These quantitative beetle-habitat associations will improve future analyses that have typically relied on categorical classifications. Our results highlight the need to prioritize conservation of near-natural forests and oak trees in Scandinavia to protect the habitat of many red-listed species in particular. Furthermore, we underline the importance of carefully considering the species of trees on which traps are mounted in order to representatively sample beetle communities in forest stands.</p>
Figure 2 in Epiphytic Bryophyte And Lichen Communities In Relation To Tree And Forest Stand Variables In Populus Tremula Forests Of South-East Latvia
Figure 2. Epiphytic bryophyte and lichen species in the studied territories. Tade Micr – Microreserve in Tadenava, Augs land – Augšzeme Protected Landscape Area, Star Rese – Starinas mežs Nature Reserve. Signal species include all WKH indicator species and red-listed species.
Figure 1. Studied territories. 1 in Epiphytic Bryophyte And Lichen Communities In Relation To Tree And Forest Stand Variables In Populus Tremula Forests Of South-East Latvia
Figure 1. Studied territories. 1 – Microreserve in Tadenava, 2– Augšzeme Protected Landscape Area, 3 – Starinas mežs Nature Reserve.
Functional biogeography of Neotropical moist forests: trait-climate relationships and assembly patterns of tree communities
<p>Aim: Here we examine the functional profile of regional tree species pools across the latitudinal distribution of Neotropical moist forests, and test trait-climate relationships among local communities. We expected opportunistic strategies (acquisitive traits, small seeds) to be overrepresented in species pools further from the equator due to long-term instability, but also in terms of abundance in local communities in currently wetter, warmer and more seasonal climates.</p> <p>Location: Neotropics.</p> <p>Time period: Recent.</p> <p>Major taxa studied: Trees.</p> <p>Methods: We obtained abundance data from 471 plots across nine Neotropical regions, including ~100,000 trees of 3,417 species, in addition to six functional traits. We compared occurrence-based trait distributions among regional species pools, and evaluated single trait-climate relationships across local communities using community abundance-weighted means (CWM). Multivariate trait-climate relationships were assessed by a double-constrained correspondence analysis that tests both how CWMs relate to climate and how species distributions, parameterized by niche centroids in climate space, relate to their traits.</p> <p>Results: Regional species pools were undistinguished in functional terms, but opportunistic strategies dominated local communities further from the equator, particularly in the northern hemisphere. Climate explained up to 57% of the variation in CWM traits, with increasing prevalence of lower-statured, light-wooded and softer-leaved species bearing smaller seeds in more seasonal, wetter and warmer climates. Species distribution were significantly but weakly related to functional traits.</p> <p>Main conclusions: Neotropical moist forest regions share similar sets of functional strategies, from which local assembly processes, driven by current climatic conditions, select for species with different functional strategies. We can thus expect functional responses to climate change driven by changes in relative abundances of species already present regionally. Particularly, equatorial forests holding the most conservative traits and large seeds are likely to experience the most severe changes if climate change triggers the proliferation of opportunistic tree species.</p>
Data from: Temporal changes in taxonomic and functional alpha and beta diversity across tree communities in subtropical Atlantic forests
<h2><strong>The study is published in Oikos and available at: <a href="https://doi.org/10.1111/oik.10961">https://doi.org/10.1111/oik.10961</a></strong></h2> <p>Here we aim to assess temporal taxonomic and functional alpha and beta diversity of adult and juvenile tree communities across 11 sites in the subtropical Brazilian Atlantic Forest to infer about trends and drivers of biodiversity change. The tree communities were evaluated for temporal changes in: (1) taxonomic and functional alpha diversity, (2) taxonomic and functional composition (beta diversity), and (3) identifying potential abiotic and biotic drivers of these changes, considering three censuses across a period of 10 years.</p> <p> </p> <h2>Files description:</h2> <p><strong>traits-adults.csv</strong> - adult tree species and their functional traits values.</p> <p><strong>traits-juveniles.csv</strong> - juvenile tree species and their functional trait values.</p> <p><strong>abundance-adults_synthesis.csv</strong> - adult tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (<a href="https://forestplots.net/">https://forestplots.net/</a>) under request.</p> <p><strong>abundance-juveniles_synthesis.csv</strong> - juvenile tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (<a href="https://forestplots.net/">https://forestplots.net/</a>) under request.</p> <p>Functional traits abbreviations are defined as follows: LA = leaf area; SLA = specific leaf area; WD = wood density; SM = seed mass; range_temp = range of mean annual temperature; range_CWD = range of climatological water deficit; and biomes_distrib = number of Brazilian biomes that the species occur according to Flora and Funga do Brazil.</p> <p> </p> <h2><strong>Acknowledgments</strong></h2> <p>This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001, through Portal de Periódicos and scholarships granted to JMFK, JK and RCP. The fieldwork was supported by Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS grant numbers 2218 – 2551/12-2 and 19/2551-0001698-0), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq/FAPERGS/PELD number 441590/2020-9), and the Instituto Nacional de Ciência e Tecnologia (INCT) in Ecology, Evolution and Biodiversity Conservation, supported by MCTIC/CNPq (grant number 465610/2014-5). KMB gratefully acknowledge the financial support by the National Institute of Science and Technology in Low Carbon Emission Agriculture (INCT-ABC) sponsored by Brazil’s National Council for Scientific and Technological Development (CNPq, grant no. 406635/2022-6), the Foundation for Research Support of the State of Rio Grande do Sul (Fapergs, grant no. 22/2551-0000392-3), and the Ministry of Agriculture (MAPA). SCM is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant number 309659/2019-1.</p> <p> </p> <h3><strong>Please find below the data used in the study.</strong></h3>
Contribution of tree community structure to forest productivity across a thermal gradient in eastern Asia
<p>These CSV and R script files are the dataset and codes used for the analysis in the following <a href="https://www.nature.com/articles/s41467-023-36671-1">journal paper</a>:</p> <p>Kohyama, T.I., Sheil, D., Sun, IF. <em>et al.</em> Contribution of tree community structure to forest productivity across a thermal gradient in eastern Asia. <em>Nat Commun</em> <strong>14</strong>, 1113 (2023). https://doi.org/10.1038/s41467-023-36671-1</p> <p> </p> <p><strong>Contents</strong></p> <ul> <li>d0.csv — Individual tree-stem size data obtained by two censuses in 60 forest plots in eastern Asia <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>species</code> — Scientific name</li> <li><code>t1</code> — Year of the first census</li> <li><code>t2</code> — Year of the second census</li> <li><code>dbh1</code> — Stem diameter (cm) at the first census*<sup>1</sup></li> <li><code>dbh2</code> — Stem diameter (cm) at the second census*<sup>1</sup></li> <li><code>w1</code> — Estimated above ground biomass (Mg C ha<sup>−1</sup>) at the first census</li> <li><code>w2</code> — Estimated above ground biomass (Mg C ha<sup>−1</sup>) at the first census</li> <li><code>wl1</code> — Estimated leaf biomass (Mg C ha<sup>−1</sup>) at the first census</li> <li><code>wl2</code> — Estimated leaf biomass (Mg C ha<sup>−1</sup>) at the second census</li> </ul> </li> </ul> <p> </p> <ul> <li>d1.csv — Species-level biomass, productivity and other turnover rates in each of 60 forest plots in eastern Asia <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>t1</code> — Year of the first census</li> <li><code>t2</code> — Year of the second census</li> <li><code>species</code> — Scientific name</li> <li><code>N</code> — Period mean number of stems (ha<sup>−1</sup>)</li> <li><code>B</code> — Period mean above ground biomass (Mg C ha<sup>−1</sup>)</li> <li><code>Bl</code> — Period mean leaf biomass (Mg C ha<sup>−1</sup>)</li> <li><code>p</code> — Relative above ground biomass productivity rate (year<sup>−1</sup>)</li> <li><code>l</code> — Relative above ground biomass loss rate (year<sup>−1</sup>)</li> <li><code>P</code> — Absolute above ground biomass productivity rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>L</code> — Absolute above ground biomass loss rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>pl</code> — Relative leaf biomass productivity rate (year<sup>−1</sup>)</li> <li><code>ll</code> — Relative leaf biomass loss rate (year<sup>−1</sup>)</li> <li><code>Pl</code> — Absolute leaf biomass productivity rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>Ll</code> — Absolute leaf biomass loss rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>w_max</code> — Period mean above ground biomass of the largest tree (Mg C ha<sup>−1</sup>)</li> <li><code>w_99</code> — The 99-th percentaile of tree above ground biomass (Mg C ha<sup>−1</sup>)</li> <li><code>rgr_max</code> — Relative growth rate of the largest tree (year<sup>−1</sup>)</li> </ul> </li> </ul> <p> </p> <ul> <li>plot_metadata.csv — Metadata (e.g. location and climate variables) for 60 forest plots in eastern Asia <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>latitude</code> — Latitude in decimal degrees (°)</li> <li><code>longitude</code> — Longitude in decimal degrees (°)</li> <li><code>elevation</code> — Elevation (m)</li> <li><code>area</code> — Plot area (ha)</li> <li><code>MAT</code> — Mean annual temperature (°C)*<sup>2</sup></li> <li><code>AP</code> — Annual precipitation (mm year<sup>−1</sup>)*<sup>2</sup></li> <li><code>PET</code> — Potential evapotranspiration (mm year<sup>−1</sup>)*<sup>2</sup></li> </ul> </li> </ul> <p> </p> <ul> <li>annual_litterfall.csv — Annual fine litterfall (i.e. canopy productivity) obtained by monthly litterfall records collected by litter traps during same census period in 22 forest plots <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>Plitter</code> — Annual litterfall production (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> </ul> </li> </ul> <p> </p> <ul> <li>max_tree_height.csv — Tallest tree height for 388 species in 11 forest plots <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>species</code> — Scientific name</li> <li><code>H_max</code> — tallest tree height (m)</li> </ul> </li> </ul> <p> </p> <ul> <li>productivity.r — R script for estimating forest-level aboveground net productivity</li> </ul> <p> </p> <p>*<sup>1 </sup>No-record diameters due to death in the second census and pre-recruitment in the first census were set to zero.</p> <p>*<sup>2</sup> Climate data for the period 1981–2010 were obtained from CHELSA version 2.1 (Krager et al. 2021 EnviDat, https://doi.org/10.16904/envidat.228.v2.1)</p>
Functional biogeography of Neotropical moist forests: trait-climate relationships and assembly patterns of tree communities
Open the record for dataset details and reuse information.
Species Abundance Distributions (SADs) for local tree communities in 1-ha forest plots on 20 tropical islands in the Indo-Pacific region
<p>Species abundance distributions (SADs) characterise the distribution of individuals among species. This dataset was used to investigate the relative importance of disturbance regime (tropical cyclone regime) and island geography (the area and isolation of islands) on the shape of SADs.</p>
Long-term monitoring reveals forest tree community change driven by atmospheric sulfate pollution and contemporary climate change
Aim: Montane environments are sentinels of global change, providing unique opportunities to assess impacts on species diversity. Multiple anthropogenic stressors such as climate change and atmospheric pollution may act concurrently or synergistically in restructuring communities. Thus, a major challenge for conservation is untangling the relative importance of different stressors. Here, we combine long-term monitoring with multivariate community modeling to estimate the anthropogenic drivers shaping forest tree diversity along an elevational gradient. Location: Camels Hump Mountain, Vermont, USA Methods: We used Generalized Dissimilarity Modelling (GDM) to model spatial and temporal turnover in beta diversity along an elevational gradient over a 50-year period, and tested for spatiotemporal shifts in density and elevational distribution of individual species. GDMs were used to predict community turnover as non-linear functions of changes in elevation, climate and atmospheric pollution. Results: We observed significant shifts in elevational range and density of individual species, which contributed to an overall reduction in the elevational gradient in beta diversity through time. GDMs showed the combined effects of sulfate deposition and temperature as drivers of this temporal reduction in beta diversity. Spatiotemporal changes differed among species, with shifts observed both up and downslope. For example, in a reversal of a previous upslope range contraction, red spruce (Picea rubens Sarg.) increased in density and shifted downslope since the 1990's, occupying warmer, drier climates. Main conclusion: Our results demonstrate that global change is impacting the stratification of forest tree diversity along elevational gradients, but the responses of individual species are complex and variable in direction. We suggest abiotic drivers may directly impact individual species while also indirectly altering species interactions along elevational gradients. Our approach modelling the drivers of compositional turnover quantifies the rate and amount of change in beta diversity along environmental gradients, and serves as a powerful complement to studying species-specific responses.
Varying impacts of logging frequency on tree communities and carbon storage across evergreen and deciduous tropical forests in the Andaman Islands, India
<p>The majority of Earth's tropical forests have been selectively logged; some on repeated occasions. Selective logging is known to affect forest structure, composition and function in various ways, but how such effects vary with logging frequency and across forest types remains unclear. In the Andaman Archipelago in India, we examined adult and pole-sized trees in baseline (unlogged since 1990s), once-logged (logged between 2007 and 2014) and twice-logged (logged in early 1990s and between 2007 and 2014) evergreen and deciduous forests, and tested whether higher logging frequency was associated with lower canopy cover, tree density, tree diversity, aboveground carbon stocks and divergence in species composition, including increased relative abundances of deciduous species in these forests. While once-logged evergreen and deciduous forests were similar to their respective baselines for most attributes assessed, and twice-logged evergreen forests had 22–24% lower adult tree density and diversity, twice-logged deciduous forests had 17–50% lower canopy cover, pole density, adult species diversity and above-ground carbon stocks, and 12% higher deciduous fractions compared to the baselines. Collectively our results reveal lasting impacts of repeated selective logging, even at relative low intensity, on tree communities and carbon storage. These impacts can potentially be mitigated by reducing logging frequency and retaining unlogged patches in logged landscapes, but management must also incorporate heterogeneity in responses and recovery across different forest types. In the Andaman Islands, all forests may require more than 15–25 years between logging events, with deciduous forests potentially requiring more stringent extraction limits compared to evergreen forests.</p>
Closely related tree species support distinct communities of seed-associated fungi in a lowland tropical forest
<p>Previous theoretical work has highlighted the potential for natural enemies to mediate the coexistence of species with similar life-histories via density-dependent effects on survivorship. For plant pathogens to play this role, they must differ in their ability to infect or induce disease in different host plant species. In tropical forests characterized by high diversity, these effects must extend to phylogenetically closely related species pairs. Mortality at the seed and seedling stage strongly influences the abundance and distribution of tropical tree species, but the host preferences and spatial distributions of fungi are rarely determined.</p> <p>We examined how host species identity, relatedness, and seed viability influence the composition of fungal communities associated with seeds of four co-occurring pioneer trees (<em>Cecropia insignis</em>, <em>C. longipes</em>, <em>C. peltata</em>, and <em>Jacaranda copaia</em>). Seeds were buried in mesh bags in five common gardens in the understory of a lowland tropical forest in Panama and retrieved at intervals from 1-30 months. A subset of the seeds in each bag was used to determine germination success. One half of each remaining seed was tested for viability; the other half was used to culture and identify seed-infecting fungi.</p> <p>Seeds were infected by fungi after burial. Although fungal communities differed in viable vs. dead seeds, and across burial locations, community composition primarily varied as a function of plant species identity (30.7% of variation in community composition vs. 4.5% for viability and location together), even for congeneric <em>Cecropia</em> species. Phylogenetic reconstruction showed that relatedness of fungi mostly reflected differences between <em>Jacaranda</em> (Bignoniaceae) and <em>Cecropia</em> (Urticaceae).</p> <p>Although the proportion of germinable seeds decreased gradually over time for all species, intraspecific variation in survival was high at the same location (e.g., ranging from 0-100% for <em>C. peltata</em>) suggesting variable exposure or susceptibility to seed pathogens.</p> <p>Synthesis: Our study provides evidence under field conditions that congeneric tree species with similar life-history differ markedly in seed-associated fungal communities when exposed to the same soilborne fungi. This is a critical first step supporting pathogen mediated coexistence of closely related tree species.</p>
Supplementary material 2: Seu Nico Community Dynamics from: Tree Diversity and Dynamics of the Forest of Seu Nico, Viçosa, Minas Gerais, Brazil - Biodiversity Data Journal 3: e5425 (31 July 2015) https://doi.org/10.3897/BDJ.3.e5425
2868 tree occurrences from two census within 100 plots of 10x10 m in the Forest of Seu Nico (FSN), Viçosa municipality, Minas Gerais, Brazil, including measurements of each tree as well as environmental data from all 100 plots. Dataset consists of seven independent files
Data from: Uniqueness of tree stand composition and soil microbial communities are related across urban spruce-dominated forests
<p>The dataset contains data obtained from urban spruce-dominated forests in southern Finland where we have measured tree stand composition, forest management history, soil chemical properties, and soil microbial communities. Data files include (1) microbial OTU tables describing microbial community composition (sequence read counts of Operational Taxonomic Units) across the study plots, (2) taxonomic assignments and other metadata related to OTUs, and (3) measured and calculated variables describing the characteristics of sites and their microbial assemblages (site metadata).</p>
Data from: Tree demographic strategies largely overlap across succession in Neotropical wet and dry forest communities
<p>Secondary tropical forests play an increasingly important role in carbon budgets and biodiversity conservation. Understanding successional trajectories is therefore imperative for guiding forest restoration and climate change mitigation efforts. Forest succession is driven by the demographic strategies – combinations of growth, mortality, and recruitment rates – of the tree species in the community. However, our understanding of demographic diversity in tropical tree species stems almost exclusively from old-growth forests. Here, we assembled demographic information from repeated forest inventories along chronosequences in two wet (Costa Rica, Panama) and two dry (Mexico) Neotropical forests to assess whether the ranges of demographic strategies present in a community shift across succession. We calculated demographic rates for >500 tree species while controlling for canopy status to compare demographic diversity (i.e. the ranges of demographic strategies) in early successional (0-30 years), late successional (30-120 years), and old-growth forests using two-dimensional hypervolumes of pairs of demographic rates. Ranges of demographic strategies largely overlapped across successional stages, and early successional stages already covered the full spectrum of demographic strategies found in old-growth forests. An exception was a group of species characterized by exceptionally high mortality rates that were confined to early successional stages in the two wet forests. The range of demographic strategies did not expand with succession. Our results suggest that studies of long-term forest monitoring plots in old-growth forests, from which most of our current understanding of demographic strategies of tropical tree species is derived, are surprisingly representative of demographic diversity in general, but do not replace the need for further studies in secondary forests.</p>
Tree communities and soil properties influence fungal community assembly in neotropical forests
<p>The influence exerted by tree communities, topography and soil chemistry on the assembly of macrofungal communities remains poorly understood, especially in highly diverse tropical forests. Here, we used a large dataset that combines inventories of macrofungal Basidiomycetes fruiting bodies, tree species composition and measurements for 16 soil physico-chemical parameters, collected in 34 plots located in four sites of lowland rainforests in French Guiana. Plots were established on three different topographical conditions: hilltop, slope and seasonally flooded soils. We found hyperdiverse Basidiomycetes communities, mainly comprising members of Agaricales and Polyporales. Phosphorus, clay contents and base saturation in soils strongly varied across plots and shaped the richness and composition of tree communities. The latter composition explained 23% of the variation in the composition of macrofungal communities, probably through high heterogeneity of the litter chemistry and selective effects of biotic interactions. The high local heterogeneity of habitats influenced the distribution of both macrofungi and trees, as a result of diversed local soil hydromorphic conditions associated to contrasting soil chemistry. This first regional study across habitats of French Guiana forests revealed new niches for macrofungi, such as ectomycorrhizal ones, and illustrate how macrofungi inventories are still paramount to can be to understand the processes at work in the tropics.</p>
Data from: Incomplete recovery of tree community composition and rare species after 120 years of tropical forest succession in Panama
<p>Determining how fully tropical forests regenerating on abandoned land recover characteristics of old-growth forests is increasingly important for understanding their role in conserving rare species and maintaining ecosystem services. Despite this, our understanding of forest structure and community composition recovery throughout succession is incomplete, as many tropical chronosequences do not extend beyond the first 50 years of succession. Here, we examined trajectories of forest recovery across eight 1-hectare plots in middle and later stages of forest succession (40 – 120 years) and five 1-hectare old-growth plots, in the Barro Colorado Nature Monument (BCNM), Panama. We first verified that forest age had a greater effect than edaphic or topographic variation on forest structure, diversity and composition and then corroborated results from smaller plots censused 20 years previously. Tree species diversity (but not species richness) and forest structure had fully recovered to old-growth levels by 40 and 90 years, respectively. However, rare species were missing, and old-growth specialists were in low abundance, in the mid- and late secondary forest plots, leading to incomplete recovery of species composition even by 120 years into succession. We also found evidence that dominance early in succession by a long-lived pioneer led to altered forest structure and delayed recovery of species diversity and composition well past a century after land abandonment. Our results illustrate the critical importance of old-growth and old secondary forests for biodiversity conservation, given that recovery of community composition may take several centuries, particularly when a long-lived pioneer dominates in early succession.</p>
Flooding drives tropical dry forest tree community assembly in southeast Brazil
<p><span>In this study, we characterized and compared vegetation types associated with geomorphological units susceptible to distinct flooding levels. Differences in vegetation are related to landform variations. We aimed to (i) characterize the vegetation structure and quantify community compositional differences among landforms and (ii) compare landforms soil characteristics and how these correlate with the tree vegetation. The study area is located in the Brazilian Caatinga Domain, near the Verde Grande River, a tributary of São Francisco River (coordinates 14º 54' 38'' S 43º 42' 53'' W). We allocated six plots in each landform sampled from wettest to driest sites: (i) Marginal Dike (RF – Riparian Forest), (ii) Upper terrace (RWF – Riparian Wetland Forest), (iii) Lower Terrace (WF – Wetland Forest), (iv) Lower Plain (OFF – Occasionally Flooded Forest), and (v) Upper Plain (UF - Unflooded Forest). </span>We conducted multivariate analyses (non-metric multidimensional scaling and Principal component analyses) to determine if the five sampled environments formed distinct floristic and environmental groups across the flooding gradient. We used ANOVA and Tukey post-hoc tests to assess soil variable differences among vegetation types (where relationships between edaphic variations and tree communities' floristic-structural patterns are the purpose of each analysis). <span>A total of 1422 individuals, 26 families, 70 genera, and 89 species were recorded. The NMDS revealed two distinct floristic groups: one group is associated with landforms with assumed higher flood frequency (RF, RWF, WF) and one with less frequently flooded landforms (OFF and UF). The RF, OFF, and UF landforms contained exclusive species (that only occurred in the plots of a particular landform). The species <em>Geofroea spinosa</em> (Fabaceae) was responsible for 70% of the total biomass recorded in the landforms RWF and WF. The soil analysis showed a gradient of soil acidity and fertility related to water saturation, whereby the most frequently flooded plots had the highest acidity values and highest fertility. We found that flood-related conditions significantly influence tree community structure and species distribution in this floodplain in the Brazilian Caatinga Domain.</span></p>
Data from: Incomplete recovery of tree community composition and rare species after 120 years of tropical forest succession in Panama
Open the record for dataset details and reuse information.
Varying impacts of logging frequency on tree communities and carbon storage across evergreen and deciduous tropical forests in the Andaman Islands, India
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.