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opencc-by-4.0Mar 2020View details →

Modelled vegetation structure

Description: This dataset contains the model outputs from predictive statistical models of forest structure across the SAFE Landscape based on RapidEye satellite imagery. Three variables were predicted (Above ground biomass (AGB), Forest Cover (FCO) and Leaf Area Index (LAI)) and there are two different models for each variable. The outputs are provided as zipfiles of predictions for each model variant. Each zipfile contains GeoTiff files for 16 RapidEye panes covering the landscape. For each pane, files provide the mean prediction and then high and low confidence intervals. A model summary and validation plots are also provided. All GeoTIFF files are provided as 25 by 25 m resolution in UTM 50N / WGS 84 projection. These models are published in the link provided below, and further notes and some postprocessing details are available from <a href="https://www.safeproject.net/dokuwiki/safe_data/climate/forest_structure_models">https://www.safeproject.net/dokuwiki/safe_data/climate/forest_structure_models</a>. The authors thank the European Space Agency for providing RapidEye™ under Category 1 — User Agreement to MP (C1P 13735).Project: This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/70">Linking plot and satellite data to model biodiversity response</a>Funding: These data were collected as part of research funded by: <ul><li>European Research Council (Research Grant, Ref. 281986, <a href="https://cordis.europa.eu/project/id/281986">https://cordis.europa.eu/project/id/281986</a>)</li><li>Sime Darby Foundation (Research Grant)</li></ul>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.XML metadata: GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3698297">here</a>Files: This dataset consists of 7 files: Modelled_forest_structure.xlsx, AGB_BetaregRad_Full.zip, AGB_BetaregRad_Reduced.zip, FCO_BetaregRad_noMsavi.zip, FCO_BetaregRad_withMsavi.zip, LAI_BetaregRad_noMSAVI.zip, LAI_BetaregRad_withMSAVI.zipModelled_forest_structure.xlsxThis file only contains metadata for the files belowAGB_BetaregRad_Full.zipDescription: Above Ground Biomass model outputs from full model (more texture components)AGB_BetaregRad_Reduced.zipDescription: Above Ground Biomass model outputs with reduced model complexityFCO_BetaregRad_noMsavi.zipDescription: Forest cover model outputsFCO_BetaregRad_withMsavi.zipDescription: Forest cover model outputs including Modified Soil-Adjusted Vegetation IndexLAI_BetaregRad_noMSAVI.zipDescription: Leaf Area Index model outputsLAI_BetaregRad_withMSAVI.zipDescription: Leaf area index model outputs including Modified Soil-Adjusted Vegetation IndexDate range: 2010-10-01 to 2020-03-05Latitudinal extent: 4.3380 to 4.9982Longitudinal extent: 116.5628 to 117.8705

dryad28/100

Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa

We analysed thirty-five 400-m2 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−1 (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.

opencc-zeroDec 2019View details →

opencc-by-4.0Sep 2020View details →

Dataset from: Reed bed vegetation structure and plant species diversity depend on management type and the time period since last management by Andersen et al. 2020 Applied Vegetation Science

The dataset behind the paper Reed bed vegetation structure and plant species diversity depend on management type and the time period since last management by Andersen et al. 2020, Applied Vegetation Science, <a href="https://doi.org/10.1111/avsc.12531">https://doi.org/10.1111/avsc.12531</a> The data contains information on the vegetation of four reed bed treatments all located within De Østlige Vejler, Denmark: - A 0-year-old harvested reed bed - A 0-year-old cut reed bed (reed stems left behind) - A 3-year-old harvested reed bed - A 25-year-old harvested reed bed

opencc-by-4.0Jul 2024View details →

Dataset and R code (Effect of Vegetation Structure on Secondary Wind Dispersal Distance of Diaspores)

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opencc-zeroOct 2018View details →

Supplementary material 1 from: Winiger N, Korner P, Arlettaz R, Jacot A (2018) Vegetation structure and decreased moth abundance limit the recolonisation of restored habitat by the European Nightjar. Rethinking Ecology 3: 25-39. https://doi.org/10.3897/rethinkingecology.3.29338

Site and moth data : Explanation note: Details about the study sites and moths.

opencc-by-4.0Feb 2023View details →

Microhabitat selection of meadow and steppe vipers enlightened by digital photography and image processing to describe grassland vegetation structure

Dataset <ol> <li> Understanding animals’ selection of microhabitats is important in both ecology and biodiversity conservation. However, there is no generally accepted methodology for the characterisation of microhabitats, especially for vegetation structure. </li> <li> We studied microhabitat selection of Vipera snakes by comparing grassland vegetation structure between viper occurrence points and random points in three grassland ecosystems: V. graeca in mountain meadows of Albania, V. renardi in loess steppes of Ukraine, and V. ursinii in sand grasslands in Hungary. We quantified vegetation structure in an objective manner by automated processing of images taken of the vegetation against a vegetation profile board under standardised conditions. We developed an R script for automatic calculation of four vegetation structure variables derived from raster data obtained in the images: leaf area (LA), height of closed vegetation (HCV), maximum height of vegetation (MHC), and foliage height diversity (FHD). </li> <li> Generalized linear mixed models revealed that snake occurrence was positively related to HCV in V. graeca, to LA in V. renardi and to LA and MHC in V. ursinii, and negatively to to HCV in V. ursinii. </li> <li> Our results demonstrate that vegetation structure variables derived from automated image processing significantly influence viper microhabitat selection. Our method minimises the risk of subjectivity in measuring vegetation structure, allows upscaling if neighbouring pixels are combined, and is suitable for comparison of or extrapolation across different grasslands, vegetation types or ecosystems. </li> </ol>

dryad28/100

Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa

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publicJul 2020View details →

dryad28/100

Vegetation structure and ground cover attributes describe the occurrence of a newly discovered carnivorous marsupial on the Tweed Shield Volcano caldera, the endangered black-tailed dusky antechinus (Antechinus arktos).

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publicNov 2019View details →

Pre-Delta-X: Vegetation Species, Structure, Aboveground Biomass, MRD, LA, USA, 2015

This dataset provides vegetation species, height, stem density and diameter, and species aboveground biomass (AGB) measurements collected at herbaceous and forested wetland sites across the Atchafalaya and Terrebonne basins within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign in Spring 2015 and Fall 2015. Vegetation height and density and diameter data are only provided for forested Atchafalaya sites during the spring collections. At the nine herbaceous wetland sites, a transect was established perpendicular to the wetland edge with replicate sample plots (0.25 m2, 5 m apart) located at 50, 100, and 150 m from the wetland edge to capture the range of vegetation structure, zonation, and composition. AGB was harvested inside the duplicate plots at each sampling location. At the six forested wetland sites, duplicate circular plots (10 m radius, 50 m apart) were established inside the forest approximately 30 m from the wetland edge. All trees with a diameter at breast height (DBH at 1.3 m) > 2.5 cm were measured within each plot and identified to species. The height of trees was measured with a laser range finder. AGB was estimated using species-specific allometric equations. Measurements were used to generate marsh and forested wetland coverage and biomass in response to seasonality within both basins. The data will be used to calibrate remote sensing data (e.g., UAVSAR, AVIRIS-NG) and hydrodynamics and sediment transport models.

ABoVE: LVIS L3 Gridded Vegetation Structure across North America, 2017 and 2019

This dataset provides Level 3 (L3) footprint-level gridded metrics and attributes collected from NASA's Land, Vegetation, and Ice Sensor (LVIS)-Facility instrument for each flightline from 2017 and 2019. In 2017, the LVIS-Facility instrument was flown at a nominal flight altitude of 28,000 ft onboard a Dynamic Aviation Super King Air B200T. In 2019, the LVIS-Facility and LVIS-Classic instruments were flown at a nominal flight altitude of 41,000 feet onboard the NASA Gulfstream V. LVIS data are collected as waveforms over footprints of ~10-m diameter. The L3 data include grids of canopy relative height (RH), complexity, canopy cover (CC), ground elevation, and the number of LVIS footprints available to produce a pixel's estimate.. These 30-m resolution grids describe the vertical column of the vegetation canopy in detail with relative canopy height metrics and are enriched with an additional set of canopy cover estimates at a variety of height thresholds. The LVIS-Facility instrument 2017 and 2019 acquisitions span Arctic, boreal, temperate, and sub-tropical landscapes in support of a variety of Arctic-Boreal Vulnerability Experiment (ABoVE)- and Global Ecosystem Dynamics Investigation (GEDI)-related science. In the ABoVE study domain of arctic and boreal Alaska and Western Canada, some of these acquisitions coincide spatially with legacy small-footprint airborne lidar. Data are included for the ABoVE domain and also for the continental U.S. and central America in support of GEDI calibration and validation. Data files are provided in GeoTIFF format and one geopackage file shows flightlines.

Delta-X: Aboveground Vegetation Structure, Herbaceous Wetlands, MRD, LA, USA, V2

This dataset provides mean stem diameter, mean height, dominant species, hydrogeomorphic zone (HGM), and stem density for vegetation in herbaceous wetlands collected in the Atchafalaya and Terrebonne basins in southeastern coastal Louisiana. The data were collected between 2021-03-21 to 2021-03-31 during the Delta-X Spring 2021 deployment, and from 2021-08-19 to 2021-08-27 during the Fall deployment. Field measurements were conducted at six sites in the Atchafalaya (N = 3) and Terrebonne (N = 3) basins. Five of the sites were adjacent to sites from the Coastwide Reference Monitoring System (CRMS), and the other site was in the Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. Sites in both basins were chosen to represent a salinity gradient including freshwater, brackish, and saline ecosystems. At each herbaceous wetland site, duplicate sampling stations (30 m apart) were established parallel to the wetland edge at 25 and 50 m within the intertidal zone to capture within site variability in vegetation dynamics and soil properties. The data are provided in comma-separated values (*.csv) format.

Gridded GEDI Vegetation Structure Metrics and Biomass Density at Multiple Resolutions

This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the entire vertical profile, based solely on GEDI lidar, and validated with independent data. The GEDI sensor, mounted on the International Space Station (ISS), uses eight laser beams spaced by 60 m along-track and 600 m across-track on the Earth surface to measure ground elevation and vegetation structure between approximately 52 degrees North and South latitude. Between April 17th 2019 and March 16th 2023, GEDI acquired 11 and 7.7 billion quality waveforms suitable for measuring ground elevation and vegetation structure, respectively. This dataset provides GEDI shot metrics aggregated into raster grids at three spatial resolutions: 1 km, 6 km, and 12 km. In addition to many of the standard L2 and L4A shot metrics, several additional metrics have been derived which may be particularly useful for applications in carbon and water cycling processes in earth system models, as well as forest management, biodiversity modeling, and habitat assessment. Variables include canopy height, canopy cover, plant area index, foliage height diversity, and plant area volume density at 5 m strata. Eight statistics are included for each GEDI shot metric: mean, bootstrapped standard error of the mean, median, standard deviation, interquartile range, 95th percentile, Shannon's diversity index, and shot count. Quality shot filtering methodology that aligns with the GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 was used. In comparison to the current GEDI L3 dataset, this dataset provides additional gridded metrics at multiple spatial resolutions and over several temporal periods (annual and the full mission duration). Files are provided in cloud optimized GeoTIFF format.

LiDAR-derived Vegetation Canopy Structure, Great Smoky Mountains National Park, 2011

This dataset provides multiple-return LiDAR-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park (GSMNP). Canopy characteristics were analyzed using high resolution three-dimensional point cloud measurements gathered between February-April 2011 for Tennessee and during March-April 2005 for North Carolina sections of the park. Vegetation types were mapped by grouping areas of similar canopy structure. The map was compared and validated against existing vegetation maps for the park.

SAFARI 2000 Vegetation Structure of Kataba Forest, Zambia, Wet Season 2000

Tree basal area, percent tree canopy cover, and proportional contribution of main species to canopy cover were measured at 60 sampling points at 50 m intervals along six transects in the vicinity of the MODIS validation site tower in Kataba Forest, near Mongu, Zambia, in late February to early March 2000 as part of the SAFARI 2000 Wet Season Campaign. The aim of the study was to provide a broad description of the tree canopy layer around the tower.Tree and shrub species composition was recorded for each grid and measurements of canopy cover (% and rank) and frequency of occurrence (%) were made. Basal area was estimated at each grid site in a single 360 degree sweep using a basal area prism. Four estimates of canopy cover, oriented north, south, east, and west around the sample point, were taken at each grid site using a spherical densiometer and the data were averaged to give a single value for each grid. Only the canopies of trees and shrubs above 1.5 m height were measured.The data are stored in an ASCII file, in csv format. The file lists all tree and shrub species recorded and provides the proportional contribution of these species to canopy cover in each grid. Total tree basal area (m2 ha-1) and overall tree canopy cover (%) in each grid is also provided. The companion file provides additional vegetation data, graphics, long-term meteorological data, a discussion of the study results, and photographs of the study site.

opencc-by-4.0Mar 2022View details →

zenodo24/100

Supporting information for "Measuring understory vegetation structure using a novel mixed-reality device"

MEE Appendix 1: Code necessary to extract vegetation detection data from VegSense scans MEE Appendix 2: Supplementary methods MEE Appendix 3: Instructions for downloading the test version of VegSense onto the HoloLens DBH.Analysis.FINAL.R: Code for all data analysis used in the study HoloLens MEM samples test.csv: vegetation detection data HoloLens MEM samples 6_8.csv: tree/sapling detection and DBH measurements VegSense.zip- Underlying code for VegSense application AppPackages.zip- Test VegSense application packages available to download on the HoloLens

nasa24/100

LBA-ECO LC-09 Vegetation Composition and Structure in the Brazilian Amazon: 1992-1995

No abstract available.