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29 results for “forest structure and function”
The trajectories of vegetative structure and soil microbial function diverged across a fire chronosequence of the boreal forests in Northeast China
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Data from: Climate interacts with the functional trait structure of tree communities to influence forest productivity
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Data from: BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico
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Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa
<p></p><p>We analysed thirty-five 400-m<sup>2</sup> plots encompassing forest, savanna and intermediate vegetation types in an ecotonal area in Ghana, West Africa. Across all plots, fire frequency was over a period of 15 years relatively uniform (once in 2–4 years). Although woodlands were dominated by species typically associated with savanna-type formations, and with forest formations dominated by species usually associated with closed canopies, these associations were non-obligatory and with a discrete non-specialized species grouping also identified. Across all plots, crown area index, stem basal area and above-ground biomass were positively associated with higher soil exchangeable potassium and silt contents: this supporting recent suggestions of interplays between potassium and soil water storage potential as a significant influence on tropical vegetation structure. We also found an average NDVI cover increase of ~0.15% year<sup>−1</sup> (1984–2011) with plots dominated by non-specialized species increasing more than those dominated by either forest- or savanna-affiliated species. Our results challenge the traditional view of a simple forest vs. savanna dichotomy controlled by fire, and with our newly identified third non-specialized species grouping also potentially important in understanding ecotonal responses to climate change.</p><p></p>
Figure 1 in Fire effects on Atlantic Forest sites from a composition, structure and functional perspective
Figure 1. Paraíba do Sul river basin study site, Southeast Atlantic Forest biome, inside São Paulo state, Brazil and South America. Red and blue pins represent burned and unburned forest sites where field inventory was performed, with satellite images of each.
Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa
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Global Forest Ecosystem Structure and Function Data For Carbon Balance Research
A comprehensive global database has been assembled to quantify CO2 fluxes and pathways across different levels of integration (from photosynthesis up to net ecosystem production) in forest ecosystems. The database fills an important gap for model calibration, model validation, and hypothesis testing at global and regional scales. The database archive includes: a Microsoft Office Access Database; data files for all tables in the database; query outputs from the database; and SQL script file for re-creating the database from the tables. The database is structured by site (i.e., a forest or stand of known geographical location, biome, species composition, and management regime). It contains carbon budget variables (fluxes and stocks), ecosystem traits (standing biomass, leaf area index, age), and ancillary information (management regime, climate, soil characteristics) for 529 sites from eight forest biomes. Data entries originated from peer-reviewed literature and personal communications with researchers involved in Fluxnet. Flux estimates were included in the database when they were based on direct measurements (e.g., tower-based eddy covariance system measurements), derived from single or multiple direct measurements, or modeled. Stand description was based on observed values, and climatic description was based on the CRU data set and ORCHIDEE model output. Uncertainty for each carbon balance component in the database was estimated in a uniformed way by expert judgment. Robustness of CO2 balances was tested, and closure terms were introduced as a numerical way to approach data quality and flux uncertainty at the biome level.
Selected data sets for Marsh et al. 2024 'Tropical forest clearance impacts biodiversity and function whereas logging changes structure'
<p>Data sets used in the for the manuscript <strong>Marsh<em> </em>et<em> </em>al. 2024 'Tropical forest clearance impacts biodiversity and function whereas logging changes structure'</strong>. The DOIs that link to all other data sets used in the publication are available in Tables S2-5 of the supplementary information. The z-score standardised data, and outputs of RMarkdown documents outline all the steps in the processing and analysis of the data are available at https://zenodo.org/uploads/13161799.</p> <p> </p> <p>This repository contains data used for:</p> <h3><strong><em>Mean canopy height</em></strong></h3> <p>Canopy height and vertical profiles of forest structure were compiled using airborne remote sensing with LiDAR collected by NERC’s Airborne Research Facility (ARF) in November 2014, using a Leica ALS50-II LiDAR. A Beer-Lambert approximation was used to convert point clouds to plant area density (PAD) distributions, a similar measure to leaf-area index, but where methods do not distinguish between leaves and branches or trunks. LiDAR measurements for the carbon plots were converted to rasters with 0.5 × 0.5 m cell size. Plots were rotated to a North-South axis if necessary</p> <h3><br><em><strong>Spectral diversity</strong></em></h3> <p>Spectral measurements were made on five leaves attached to tree branches used to measure leaf chemical traits. Leaves were randomly selected but we avoided damaged and young plant material to avoid potential confounding factors. Reflectance spectra (350–2500 nm) were acquired using a FieldSpec 4, produced by Analytical Spectral Devices (ASD, Boulder, Colorado, USA). The spectroradiometer's contact probe was mounted on a clamp and firmly pushed down onto the sample against a black background so that no extraneous light was included in the measurement. Spectral measurements were taken halfway between the petiole and leaf tip, and between the main vein and the leaf edge, with the abaxial surface pointing towards the probe. The readings were calibrated against a Spectralon white reference panel every five samples. Leaf reflectance measured at 430 nm, 660 nm, 1450, 1980 nm and 2350 nm align closely with absorption features for pigments, water content, proteins and cellulose. Spectral diversity calculated from these absorption features can provide an integrated measure of the functional trait variability within plant communities and may be used as a proxy for functional diversity.</p> <p> </p> <h3><em><strong>Liana abundance</strong></em></h3> <p>Percentage liana cover for large canopy and emergent trees. The four quadrants of the canopy were scored as 0 (no lianas), 1 (1-20%), 2 (20-40%), 3 (40-60%), 4 (60-80%) and 5 (80-100%).</p> <p> </p> <h3><em><strong>Leaf-area index<br></strong></em></h3> <p>Leaf area index (LAI) for carbon plots was derived from hemispherical photos (Sigma 8mm SRL fish eye lens and Canon EOS 600D digital camera, mounted on a tripod at 1 m height). Between 5-27 photos were taken over time in each subplot. Images were processed with Hemisfer® software (www.wsl.ch/dienstleistungen/produkte/software/hemisfer/index_EN). LAI was calculated with the method by Thimonier et <em>al</em>. (2010) <em>European Journal of Forest Research</em> 129, 543–562 (2010), with a canopy clumping correction applied from Chen & Cihlar (1995) <em>IEEE Transactions on Geoscience and Remote Sensing</em> 33, 777–787.</p> <p> </p> <h2>Funding</h2> <p>Analyses were carried out, and data were collected, as part of the BALI (Biodiversity And Land-use Impacts on tropical ecosystem function) using the following funding:</p> <ul> <li>NERC's Human Modified Tropical Forests research programme (grant number NE/K016377/1 awarded to the BALI consortium)</li> <li>MHN was supported by a PhD scholarship from the Conselho Nacional de Pesquisa e Desenvolvimento (CNPq, grant No. 201516/2014-4) from Brazil</li> </ul>
Microbial community structure and functions are resilient to metal pollution along two forest soil gradients
GEO Series GSE59620. uncultured bacterium; Bacteria. 12 samples. Type: Genome variation profiling by array.
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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.