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70 results for “Forest Environment”
Soil chemistry dataset from the work "Modelling and prediction of major soil chemical properties with Random Forest: machine learning as tool to understand soil-environment relationships in Antarctica"
<p>Bases sum, H+Al (potential acidity), pH, phosphorous, remaining P (P-rem), sodium and total organic carbon distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The quantile and prediction interval data represent the spatial uncertainty of the predictions.</p> <p>As soon as the work "Modelling and prediction of major soil chemical properties with Random Forest: machine learning as tool to understand soil-environment relationships in Antarctica" is published, the paper will be cited here. </p> <p>The .zip file contains the following folders:</p> <p>1) soil_chemistry_antarctica: data containing the soil chemical attributes distribution</p> <p>2) soil_chemistry_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil attributes prediction</p> <p>4) soil_texture_quantile05: quantile 5% of the soil attributes prediction</p> <p>5) soil_texture_quantile95: quantile 95% of the soil attributes prediction</p>
Data for: Positive impact of postfire environment on bumble bees not explained by habitat variables in a remote forested ecosystem
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Extreme environments filter functionally rich communities of Atlantic Forest treefrogs along altitudinal and latitudinal gradients
<p>Understanding how environmental filtering and biotic interactions structure communities across elevational and latitudinal gradients is still a matter of debate. To provide insight into their relative importance, we explore the mismatch between three dimensions of biodiversity (taxonomic, functional, and phylogenetic), and compare their patterns to null models of random community assembly. We focus on a highly diverse tropical group: the tree frogs (hylids) of the Atlantic Forest of Brazil. For that, we combined geographic distribution data with phylogenetic and trait information for 158 species to produce maps of the three dimensions of diversity. We show that communities of tree frogs of the Hylidae family tend to have high functional richness along the Atlantic Forest, potentially driven by niche partitioning. However, environmental filtering gains importance in extreme environments, both at high elevations and higher latitudes. In these areas of the forest, clustering of both functional and phylogenetic diversity is observed. Trait overdispersion is found in areas of contact between vegetation types, or of adjacent biomes, reflecting the encounter of amphibian species adapted to distinct environmental conditions and landscape configurations. Considering all three dimensions of diversity along with multiple axes of environmental variation allows for a more comprehensive understanding of the processes shaping amphibian community assembly in this biodiversity hotspot.</p>
Fungal trait-environment relationships in wood-inhabiting communities of boreal forest patches
<p>Fungal traits can provide a mechanistic understanding of how wood-inhabiting fungi interact with their environment and how that influences community assembly in deadwood. However, fungal trait exploration is relatively new and almost no studies measure fungal traits in their environment. In this study we tested species- and trait-environment relationships in reproducing fungal communities inhabiting 571 Norway spruce (<em>Picea abies</em>) logs in 55 isolated forest patches (0.1-9.9 ha) of different naturalness types, located in Northern boreal Sweden. The studied patches were (1) semi-natural set-aside patches within highly managed landscapes, or (2) old-growth natural patches located in an unmanaged landscape. We tested species and trait relationships to deadwood substrate and forest patch variables. We measured mean fruit body size and density for each of the 19 species within communities. Traits assembled in relation to log decay stage and forest patch naturalness, illustrating the important role of deterministic environmental filtering in shaping reproducing wood-inhabiting fungal communities. Early decay stage communities had larger, less dense, annual fruiting bodies of half-resupinate type and were more often white-rot fungi. Species rich mid decay stage communities had mixed trait assemblages with more long lived perennial fruit bodies of intermediate size, and both brown- and white-rot fungi equally represented. Finally, late decay stage communities had smaller, denser and perennial fruit bodies, more often of the brown-rot type. The relationships between the studied traits and decay stages were similar in both set-aside and natural patches. However, set-aside semi-natural patches in highly managed landscapes more frequently supported species with smaller, perennial, and resupinate fruit bodies compared to natural patches in an unmanaged landscape.</p> <p><em>Synthesis</em></p> <p>We found that log decay stage was the primary driver of fungal community assembly of species and traits in isolated forest patches. Our results suggest that decay stage filters four reproduction traits (fruit body density, size, lifespan and type) and one resource-use trait (white or brown rot). Our results highlights, for the first time, that communities with diverse fungal reproductive traits are maintained foremost across all deadwood decay stages under different forest naturalness conditions.</p>
Fig. 1 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 1. Correlation between values of SCP index of Carabids beetles and age of inhabiting forests.
Fig. 8 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 8. The status of carabid communities living in different zones of the forest – fallow ecotone.
Complex trait‒environment relationships underlie the structure of forest plant communities
<p>Traits differentially adapt plant species to particular conditions generating compositional shifts along environmental gradients. As a result, community-scale trait values show concomitant shifts, termed trait‒environment relationships. Trait‒environment relationships are often assessed by evaluating community-weighted mean (CWM) traits observed along environmental gradients. Regression-based approaches (CWMr) assume that local communities exhibit traits centered at a single optimum value and that traits do not covary meaningfully. Evidence suggests that the shape of trait‒abundance relationships can vary widely along environmental gradients—reflecting complex interactions—and traits are usually interrelated. We used a model that accounts for these factors to explore trait‒environment relationships in herbaceous forest plant communities in Wisconsin (USA). We built a generalized linear mixed model (GLMM) to analyze how abundances of 185 species distributed among 189 forested sites vary in response to four functional traits (vegetative height-VH, leaf size-LS, leaf mass per area-LMA, and leaf carbon content), six environmental variables describing overstory, soil, and climate conditions, and their interactions. The GLMM allowed us to assess the nature and relative strength of the resulting 24 trait‒environment relationships. We also compared results between GLMM and CWMr to explore how conclusions differ between approaches. The GLMM identified five significant trait‒environment relationships that together explain ~40% of variation in species abundances across sites. Temperature appeared as a key environmental driver, with warmer and more seasonal sites favoring taller plants. Soil texture and temperature seasonality affected LS and LMA; seasonality effects on LS and LMA were nonlinear, declining at more seasonal sites. Though often assumed for CWMr, only some traits under certain conditions had centered optimum trait‒abundance relationships. CWMr more liberally identified (13) trait‒environment relationships as significant but failed to detect the temperature-seasonality‒LMA relationship identified by the GLMM. Synthesis. Although GLMM represents a more methodologically complex approach than CWMr, it identified a reduced set of trait‒environment relationships still capable of accounting for the responses of forest understory herbs to environmental gradients. It also identified separate effects of mean and seasonal temperature on LMA that appear important in these forests, generating useful insights and supporting broader application of GLMM approach to understand trait‒environment relationships.</p>
Figure 2 in Diet of bromeliad-frog Phyllodytes luteolus (Anura, Hylidae) in Atlantic Forest environments: what have the frogs been eating outside sandy coastal plains?
Figure 2. Non-metric multidimensional scaling (NMDS) plot for prey presence. The represented populations of P. luteolus in lowland forest (triangles), sandy coastal plains (circles) and island (squares) environments in Espírito Santo State, southeastern Brazil.
Figure 1 in Diet of bromeliad-frog Phyllodytes luteolus (Anura, Hylidae) in Atlantic Forest environments: what have the frogs been eating outside sandy coastal plains?
Figure 1. Study sites in Espírito Santo State, southeastern Brazil. Dark gray points represent the sampled Phyllodytes luteolus populations.
Fig. 6 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 6 – Preferred terrain exposure of RWA nests in a, MG (n=2,328) and b, FB (n=2,829) study area.
Environment differentially affects the functional and phylogenetic structures of plant communities in a dry evergreen Afromontane tropical forest
<p class="MsoNormal"><span>Testing how local environmental conditions influence plant community assembly is important to understand the underlying mechanisms that promote and/or maintain biodiversity. Functional traits are used to find the broad spectrum of resource use strategies that plants use to</span><span> respond to environmental variation</span><span>. The patterns and drivers of plant community assembly through the lens of traits and phylogeny, however, remain to be studied in a uniquely biodiversity rich but poorly known fragmented dry Afromontane forest of Ethiopia. Here, we combined trait and community phylogenetic data from thirty sampling plots of 20 × 20 m size to determine the functional and phylogenetic structures and their drivers in a fragmented, human-dominated dry evergreen Afromontane forest. We found phylogenetic and functional clustering of plants in which the effect of environment was found to be trait specific. A weak phylogenetic signal for traits was detected suggesting that species resource use strategies may not be inferred using species phylogenetic distance. Additionally, we found functional traits to be weak in predicting species abundance distribution. Overall, while this study shows a non-random community assembly pattern, it also highlights the importance of deterministic processes being trait specific. </span></p>
A Study of Activity Leader to Forest Therapy Campaign in Different Environments Targets on the Participants Which Had Been Infected by SARS-COV-2
ClinicalTrials.gov study NCT06601920. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
Environment filtering and dispersal limitation jointly shaped the taxonomic and phylogenetic beta diversity of natural forests in southern China
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Complex trait‒environment relationships underlie the structure of forest plant communities
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Environment differentially affects the functional and phylogenetic structures of plant communities in a dry evergreen Afromontane tropical forest
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Ecosystem functions in East African forest and agro-environments
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Extreme environments filter functionally rich communities of Atlantic Forest treefrogs along altitudinal and latitudinal gradients
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Fungal trait-environment relationships in wood-inhabiting communities of boreal forest patches
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Data from: Genet dynamics of a regenerating dwarf bamboo population across heterogeneous light environments in a temperate forest understorey
Despite the advantage of plant clonality in patchy environments, studies focusing on genet demography in relation to spatially heterogeneous environments remain scarce. Regeneration of bamboos in forest understoreys after synchronous die-off provides an opportunity for assessing how they come to proliferate across heterogeneous light environments. In a Japanese forest, we examined genet demography of a population of Sasa kurilensis over a 7-year period starting 10 years after die-off, shortly after which some genets began spreading horizontally by rhizomes. The aboveground biomass was estimated and genets were discriminated in 9-m2 plots placed under both canopy gaps and closed canopies. Overall, the results suggest that the survival and spread of more productive genets and the spatial expansion of genets into closed canopies underlie the proliferation of S. kurilensis. Compared to canopy gaps, the recovery rate of biomass was much slower under closed canopies for the first 10 years after the die-off, but became accelerated during the next seven years. Genet survival was greater for more productive genets (with greater initial number of culms), and the spaces occupied by genets that died were often colonized afterward by clonal growth of surviving genets. The number of genets decreased under canopy gaps due to greater mortality, but increased under closed canopies where greater number of genets colonized clonally from outside the plots than genets died. The colonizing genets were more productive (having larger culms) than those originally germinated within the plots, and the contribution of colonizing genets to the biomass was greater under closed canopies. Our study emphasizes the importance of investigating genet dynamics over relevant spatio-temporal scales to reveal processes underlying the success of clonal plants in heterogeneous habitats.
Leaf traits, plant size and environment data of a common tree species Clausena dunniana in a subtropical broad-leaved forest
<p>This dataset contains the leaf traits, plant size and environment data of 262 individuals of a widespread species <em>Clausena dunniana</em> in the subtropical broad-leaved forests in Maolan National Nature Reserve in the karst region of southwestern China. The 262 individuals of <em>C. dunniana</em> are distributed at two major topographic habitat types, the slope and the hilltop, within the forests of six sites evenly distributed in two regions within the Maolan reserve. The measured individual plant level leaf traits include specific leaf area (SLA), leaf area, leaf dry-matter content (LDMC) and leaf thickness. The plant size represents the first principal component of plant basal diameter and plant height, and the environmental factors include topographic habitat, canopy height, and rock-bareness rate.</p>
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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.