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8 results for “canopy microclimate”

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edi56/100

Canopy Phenology, Remote Sensing and Microclimate at Harvard Forest 2006-2011

Our research at the Harvard Forest walk-up tower site examines how seasonality of canopy leaf area, or canopy phenology, influences, and is influenced by, local climate. As part of this activity we are studying methods for (and limits to) remote sensing of canopy phenology. To address this research topic, we have initiated measurements to quantify how radiation fluxes through a deciduous forest canopy are modified by seasonal canopy leaf dynamics. We continuously measure above- and below-canopy radiation fluxes at a variety of spectral bands (shortwave, photosynthetic) and with digital photography. These measurements provide a surrogate measures of canopy leaf area dynamics, and directly represent the radiation component of the surface energy balance. These measurements complement ongoing microclimate and eddy covariance measurements of water and carbon exchange at the EMS flux tower.

openCC0Dec 2023View details →
zenodo40/100

Example data for microclimf: Fast above, below or within canopy gridded microclimate modelling with R

<p>runmicrobig.zip - example data required to run function runmicro_big in package vignette</p> <p>Package available:&nbsp;https://github.com/ilyamaclean/microclimf</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Data and Script used in "Effects of canopy gaps on microclimate, soil biological activity and their relationship in a European mixed floodplain forest"

<p>The R code and data provided in this repository allow to reproduce the data carpentry, analysis and visualization of &ldquo;Effects of canopy gaps on microclimate, soil biological activity and their relationship in a European mixed floodplain forest&rdquo; (https://doi.org/10.1016/j.scitotenv.2024.173572).</p> <p>&nbsp;</p> <p>Folder structure</p> <p>&nbsp;</p> <p>Data abstracts:</p> <p>Data_abstract_climate.pdf</p> <p>Data_abstract_soil_biotics.pdf</p> <p>Data_abstract_soil_abiotics_openness.pdf</p> <p>&nbsp;</p> <p>Data:</p> <p>Climate_data.xlsx</p> <p>Soil_biotics.xlsx</p> <p>Soil_abiotics_openness.xlsx</p> <p>&nbsp;</p> <p>R Scripts:</p> <p>00-preamble.R loads all required packages</p> <p>01-data-carpentry.R loads all datasets and prepares the analysis of all experimental periods.</p> <p>02-data-analyses-microclimate.R compares understorey air and soil microclimate between forest types and treatments, presents diurnal and seasonal variations and tests the relationship of under- and overstorey openness on microclimate.</p> <p>03-data-analyses-decomposition.R compares decomposition rates and feeding activity between forest types and treatments and models the dependencies of soil biological activity on microclimate and soil abiotic factors.</p> <p>&nbsp;</p> <p>Information of related software and package versions used in the script:<br>R version 4.3.2 (2023-10-31 ucrt)<br>Platform: x86_64-w64-mingw32/x64 (64-bit)<br>Running under: Windows 10 x64 (build 19045)<br>Matrix products: default</p> <p>&nbsp;</p> <p>Contact</p> <p>Please contact me at annalena.lenk@uni-leipzig.de if you have further questions.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Datasets used for the publication: UAV-Lidar reveals that canopy structure mediates the influence of edge effects on forest diversity, function and microclimate

<p>Datasets used for the publication: UAV-Lidar reveals that canopy structure mediates the influence of edge effects on forest diversity, function and microclimate.</p> <p>The file &quot;Blanchard_et_al_JoE_2023_data_plot_trees.csv&quot; contains individual tree indentification data for the 46 plots used in the study.</p> <p>The file &quot;Blanchard_et_al_JoE_2023_data_plot_aggregated.csv&quot; contains plot-level aggregated metrics used for the analyses:</p> <p>- distance to the forest edge</p> <p>- diversity&nbsp;indices : the 20-sp rarefied species richness &quot;rar_sp_richness_20&quot; and the 20-sp rarefied Beta diversity &quot;Beta_div&quot; which corresponds to the plos coordinates on the PCoA first axis.</p> <p>-&nbsp;functional indices: the community weighted mean trait values for the four traits used in this study :&nbsp;,&quot;WD&quot;,&quot;SLA&quot;,&quot;LA&quot;,&quot;LDMC&quot;;&nbsp;the fonctional divergence index&nbsp;&quot;FD_trans.FDiv&quot;; and&nbsp;the synthetic community weigthed mean trait wich corresponds to the postion on plots on the principal component analysis of species trait values &quot;Functional_composition_trans&quot;. Note that&nbsp;the&nbsp;SLA and LA values were log-transformed before computing&nbsp;&quot;FD_trans.FDiv&quot; and &quot;Functional_composition_trans&quot;.</p> <p>- UAV-LiDAR-dervived&nbsp;metrics: canopy height, gap fraction (&quot;gap_fraction2&quot;), slope, curvature</p> <p>- The estimated plot above graound biomass &quot;agb_plot&quot;, and the mean value of the vapor pressure deficit during the drisest month &quot;max_monthly_VPD&quot;.</p> <p>- coordinates of the plots in UTM 58S (Coordinate reference system)</p> <p>Please&nbsp;read&nbsp;the material and method section of the article for more informations on this dataset.</p>

opencc-by-4.0Mar 2023View details →
dryad36/100

Data from: Managing canopy cover to preserve forest microclimate and diverse macroarthropod communities in times of drought

Open the record for dataset details and reuse information.

publicJul 2025View details →
zenodo28/100

Supplementary material 1 from: Ruland KT, Montague T, Helwi P (2023) Impact of hail-netting on Vitis vinifera L. canopy microclimate, leaf gas exchange, fruit quality, and yield in a semi-arid environment. Viticulture Data Journal 555: e108805. https://doi.org/10.3897/vdj.555.e108805

Hail-netting on vines

opencc-zeroAug 2023View details →
zenodo28/100

Supplementary material 3 from: Ruland KT, Montague T, Helwi P (2023) Impact of hail-netting on Vitis vinifera L. canopy microclimate, leaf gas exchange, fruit quality, and yield in a semi-arid environment. Viticulture Data Journal 555: e108805. https://doi.org/10.3897/vdj.555.e108805

Compact canopy under hail-netting

opencc-zeroAug 2023View details →
zenodo28/100

Supplementary material 2 from: Ruland KT, Montague T, Helwi P (2023) Impact of hail-netting on Vitis vinifera L. canopy microclimate, leaf gas exchange, fruit quality, and yield in a semi-arid environment. Viticulture Data Journal 555: e108805. https://doi.org/10.3897/vdj.555.e108805

Li-Cor-6400 machines below hail-netting

opencc-zeroAug 2023View details →

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