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294 results for “forest plot”

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nasa28/100

ABoVE: Characterization of Carbon Dynamics in Burned Forest Plots, NWT, Canada, 2014

This dataset provides field data from boreal forests in the Northwest Territories (NWT), Canada, that were burned by wildfires in 2014. During fieldwork in 2015, 211 burned plots were established. From these plots, thirty-two forest plots were selected that were dominated by black spruce and were representative of the full moisture gradient across the landscape, ranging from xeric to sub-hygric. Plot observations included slope, aspect, and moisture. At each plot, one intact organic soil profile associated with a specific burn depth was selected and analyzed for carbon content and radiocarbon (14C) values at specific profile depth increments to assess legacy carbon presence and combustion. Vegetation observations included tree density. Stand age at the time of the fire was determined from tree-ring counts. Estimates of pre-fire below and aboveground carbon pools were derived. The percent of total NWT wildfire burned area comprising of "young" stands (less than 60 years old at time of fire) was estimated.

restrictednotspecifiedApr 2025View details →
zenodo24/100

Soil chemistry and ITS sequences of permanent forest plots at the Station de biologie des Laurentides

<p>Data of soil chemistry, ITS sequences and plots informations.</p> <p>Target soil fungi using Illumina sequencing with ITS as marker gene.</p> <p>15 permanent plots of forests dominated by arbuscular mycorrhizal or ectomyoccrhizal trees or both.</p> <p>Located at the Station de Biologie des Laurentides, Universit&eacute; de Montr&eacute;al.</p> <p>&nbsp;</p> <p>Files :</p> <p>*fastq.gz contain the sequence data for each samples</p> <p>soil.csv contains soil chemistry and plots informations.</p> <p>label_soil_sample.csv links identifiers for sequencing (i.e. sample) and soil analysis (i.e. sampleID)</p> <p>&nbsp;</p> <p>Scripts for bioinformatical and statistical analyses can be found here: https://doi.org/10.5281/zenodo.3631982</p>

opencc-by-4.0Jan 2020View details →
zenodo24/100

Figure 6 Forest plots for CD013122

<p>This is the high-resolution image of forest plots for the Cochrane review: &quot;Secondary prevention of variceal bleeding in adults with previous oesophageal variceal bleeding due to decompensated liver cirrhosis: a network meta-analysis (DOI: 10.1002/14651858.CD013122)&quot;</p>

opencc-by-4.0Nov 2020View details →
dryad24/100

Data from: Variation in three community features across habitat types and scales within a 15-ha subtropical evergreen-deciduous broadleaved mixed forest dynamics plot in China

The evergreen and deciduous broadleaved mixed forests (EDBMFs) belong to one of the ecosystems most sensitive to environmental change, however, little is known about the environmental determinants for their plant diversity and forest structure at different habitat types and spatial scales. Here, we used data from a 15-ha (300×500 m) forest dynamic plot (FDP) of an old-growth EDBMF to examine the patterns and determinants of the three community features (stem abundance, rarefied species richness and basal area) in three habitat types (ridge, hillside and foothill) and at three spatial scales (20×20 m, 50×50 m and 100×100 m). We found that the three community features significantly changed with habitat type, but only one of them (rarefied richness) changed with scale. Among spatial scales, the principle environmental factors that widely affected community features were pH, SOM and TP, while these effects only taken place at certain habitat. Variations in the three community features explained by soil conditions were generally greater than those explained by topographical conditions. With changes in habitat type, the proportion of variations explained by environmental conditions was 31-53%, 8-25%, and 18-26% for abundance, rarefied richness and basal area (BA), respectively. With increasing spatial scale, the variations explained by environmental conditions were 44-75% for abundance, 28-95% for rarefied richness, and 18-86% for BA. Our study demonstrated that environmental factors had great impacts on the plant diversity and forest structure in the EDBMFs, especially the soil factors such as pH. In addition, the importance of the environmental determinants on these community features was highly related to the spatial scale.

opencc-zeroDec 2017View details →
dryad24/100

Data from: Variation in three community features across habitat types and scales within a 15-ha subtropical evergreen-deciduous broadleaved mixed forest dynamics plot in China

Open the record for dataset details and reuse information.

publicNov 2018View details →
zenodo20/100

Fig. 6 Wireframe plots showing skull form difference between M in A new rodent species of the genus Mus (Rodentia: Muridae) confirms the biogeographical uniqueness of the isolated forests of southern Ethiopia

Fig. 6 Wireframe plots showing skull form difference between M. triton (blue) and M. sp. "Harenna" (red). The uppermost panel shows size difference by scaling of dorsal consensus configuration, the other three show shape differences in three views of the skull. The most significant difference is highlighted in the lowermost panel (ventral view). See Supplementary Information 3 (Fig. S3.1) for the anatomical location of landmarks

opennotspecifiedJan 2022View details →
zenodo20/100

Plot level results of the monitoring programme on strict forest reserves in Flanders (Belgium) – dendrometry and regeneration

<p>This dataset contains plot level data of the monitoring programme on strict forest reserves in Flanders (Belgium), derived from dendrometric measurements on standing trees (living/dead), lying deadwood and regeneration.</p> <p>The methodology used to collect and process the data is described in <a href="https://purews.inbo.be/ws/portalfiles/portal/41050863/Vandekerkhove_etal_2021_MonitoringProgrammeOnStrictForestReservesFlanders.pdf">Vandekerkhove et al., 2021</a>.</p> <p>The dataset contains data of 947 circular plots from 15 different forest reserves, and spans one to three consecutive forest inventories with a 10 year interval.&nbsp;</p> <p>The file &ldquo;<strong>plotlevel_data.zip</strong>&rdquo; contains 10 separate csv-files:</p> <ul> <li> <p><strong>dendro_by_(diam_)plot(_species).csv</strong> : basic stand structure attributes per plot and period (volume, basal area, number of trees per hectare, &hellip;) for living and dead standing trees (threshold DBH 5 cm) : overall values and values per diameter class and/or species&nbsp;</p> </li> <li> <p><strong>carbon_by_plot.csv</strong>: biomass and carbon stock related to living trees, per plot and period</p> </li> <li> <p><strong>logs_by_decay_plot(_species).csv</strong> : volume per hectare of lying deadwood per plot and period: overall values and values per decay stage and/or species&nbsp;</p> </li> <li> <p>r<strong>egeneration_by_plot(_height)(_species).csv</strong> : numbers per ha of young trees (seedlings up to trees with DBH 5cm) :&nbsp; values per plot and period: overall values and values per heightclass and/or species&nbsp;</p> </li> </ul> <p>Descriptions of all variables used in these csv-files are stored in the file &ldquo;<strong>_metadata_plotlevel_results_dendro.xlsx</strong>&rdquo;.</p> <p>The file &ldquo;<strong>plotinfo.csv</strong>&rdquo; contains exact coordinates of the plot centre, name of the forest reserve, survey number, year of survey, &hellip; See file &quot;<strong>_metadata_plotinfo.xlsx</strong>&quot; for detailed descriptions of the variables used.</p> <p>&nbsp;</p> <p><strong>For any inquiries or further information, please contact Kris.vandekerkhove@inbo.be or Anja.leyman@inbo.be</strong>. The provided csv-files will be updated as required to address any issues or include data from additional surveys. . Please check for updated versions periodically.</p> <p>For terms of use: see below.</p>

restrictedJan 2023View details →
zenodo16/100

Branch, leaf, and stomatal traits in relation to topography and tree size in the Amacayacu Forest Dynamics Plot

<p>Trait and tree-level&nbsp;data associated with the article:&nbsp;</p> <p><strong>Zuleta, D., Muller-Landau, H. C., Duque, A., Caro, N., Cardenas, D., Leon-Pelaez, J. D., &amp; Feeley, K. J. (In press). Interspecific and intraspecific variation of tree branch, leaf, and stomatal traits in relation to topography in an aseasonal Amazon forest. Functional Ecology.</strong></p> <p>Please contact Daniel Zuleta for further details (dfzuleta@gmail.com).</p>

restrictedOct 2022View details →
zenodo16/100

Plot level results of the monitoring programme on strict forest reserves in Flanders (Belgium) – vegetation

<p>This dataset comprises vegetation data from the monitoring program on strict forest reserves in Flanders (Belgium). The collection and processing methodology for the data are described in <a href="https://purews.inbo.be/ws/portalfiles/portal/41050863/Vandekerkhove_etal_2021_MonitoringProgrammeOnStrictForestReservesFlanders.pdf">Vandekerkhove et al., 2021</a>.</p> <p>The dataset includes data from 947 square plots of 16 x 16 m, distributed across 15 different forest reserves. The data covers one to three consecutive forest inventories conducted with a 10-year interval.</p> <p>The &quot;<strong>plotinfo.csv</strong>&quot; file contains precise coordinates of the plot centres, forest reserve names, survey numbers, survey years, and other relevant variables. Detailed descriptions of these variables can be found in the &quot;<strong>_metadata_plotinfo.xlsx</strong>&quot; file.</p> <p>The &quot;<strong>vegetation_by_plot.csv</strong>&quot; file provides data on a per-plot basis, including the number of species in the herb layer, cumulative coverage of all species in the herb layer, and total cover of the moss layer, herbaceous layer, shrub layer (2-8m height), and tree layer (&gt; 8m height). Since 2015, the percentage of bare soil resulting from disturbance by game is also recorded.</p> <p>The &quot;<strong>herblayer_by_plot.csv</strong>&quot; file contains per-plot data on the coverage of each vascular plant species estimated using the Londo scale. Data on browsing has been included since 2015.</p> <p>For descriptions of the variables used in these files, please refer to the &quot;<strong>_metadata_plotlevel_results_veg.xlsx</strong>&quot; file.</p> <p>&nbsp;</p> <p><strong>For any inquiries or further information, please contact Kris.vandekerkhove@inbo.be or Anja.leyman@inbo.be</strong>.The provided csv-files will be updated if required to address any issues or include data from additional surveys. Please check for updated versions periodically.</p> <p>For terms of use, please see below.</p>

restrictedJun 2023View details →
zenodo12/100

Forest plots of pairwise comparisons for Primary Outcomes (limited to studies with low ROB only)

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restrictedcc-by-4.0Jul 2024View details →
zenodo12/100

Forest plots of pairwise comparisons for Primary Outcomes

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restrictedcc-by-4.0Jul 2024View details →
zenodo12/100

Tables of direct, indirect and networks estimates and Forest plots of pairwise comparisons for all Secondary Outcomes

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restrictedcc-by-4.0Jul 2024View details →
zenodo12/100

Tables of direct, indirect, and network estimates and Forest plots of pairwise comparisons for Subgroup Analyses of Primary Outcomes (</= 28 weeks and >28 weeks)

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restrictedcc-by-4.0Jul 2024View details →
zenodo8/100

Spectral data forest plots

<p>These are spectral data obtained through FTIR analysis of charcoal fragments.</p> <p>The filenames are set up as follows:<br> &quot;Abbreviation of the site name&quot;_&quot;Corenumber&quot;_&quot;Depth interval&quot;_&quot;Charcoal fragment number&quot;</p> <p>The abbreviations of the site names are:<br> AMA, for Amacayacu. CC, for Cocha Cashu. Gig, for Gigante. LA, for Los Amigos. Y, for Yasuni. Teotonio is not abbreviated, so samples from this site start with &quot;Teotonio&quot;. All samples from Yasuni have an additional number within their abbreviation. This number stands for the location within the&nbsp; Yasuni area, since samples were taken from multiple different sites. This is only the case for Yasuni, since the other sample sites had their samples taken within a single area.</p> <p>The data found in the .csv files are absorbance values obtained through FTIR analysis. Each .csv file represents one charcoal fragment from a certain site, core and depth that was exposed to infrared light (IR) at a range of wavenumbers between 900&lambda; to 3500&lambda;. Wavenumbers are the amount of waves of light that occur per centimeter. For each wavenumber,&nbsp; the absorbance of the IR-light by the charcoal fragment is measured and noted down.</p>

restrictedJul 2020View details →

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