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13 results for “Bohemian Forest”

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zenodo44/100

High-resolution microclimatic grids for the Bohemian Forest Ecosystem

<p>Here, we provide spatially continuous, high-resolution (5 m) microclimate grids covering all 923&nbsp;km<sup>2</sup> of the Bohemian Forest Ecosystem (BFE), i.e. the complete area of the &Scaron;umava (Czech Republic) and Bavarian Forest (Germany) National Parks.</p> <p>To derive these grids, we have established a dense network of 288 microclimatic stations that continuously measured air, near-surface, and soil temperature every 15 minutes from 12th October 2019 to 11th October 2020. We combined the measured microclimate temperature with LiDAR derived land surface topography and forest structure through boosted spatial generalized additive models (GAMs).</p> <p>We validated the resulting microclimatic grids with an independent network of forest weather stations and compared these microclimatic grids with the SoilTemp (soil temperature), ForestTemp (near-ground forest understorey temperature), and downscaled ERA5-Land (air temperature). The developed BFE microclimatic grids were closer to independently measured temperatures than any other alternative and captured high microclimatic variability controlled jointly by land surface topography and forest structure.&nbsp;</p> <p>Our microclimatic grids represent accurate, high-resolution spatial variation of mean annual soil temperature, mean, maximum and minimum air temperature at two heights, and growing degree days at 200 cm.&nbsp;</p> <p><strong>The dataset contains 8 microclimatic grids (GeoTIFF format, coordinate system EPSG 31468, resolution 5 m).</strong></p> <p>Extent:&nbsp;4587063, 5399139: 4646023, 5451289</p> <p>The name of the file is &ldquo;name.tif&rdquo;, where name represents the abbreviation of the microclimatic variable (see names below).</p> <p>The values are in &deg;C (&deg;C d for GDD), the data can be readily imported into standard geographical information system software (e.g., QGIS) or accessed in a statistical software (e.g., R). The datasets do not include colour schemes.</p> <p><strong>Measured variable (depth/height)&nbsp;&nbsp;</strong><br>&nbsp;-&nbsp;Microclimatic variable&nbsp;&nbsp; &nbsp;Abbreviation&nbsp; (Units)</p> <p><strong>Soil temperature (-8 cm)&nbsp; &nbsp; &nbsp;</strong> &nbsp; &nbsp; &nbsp; &nbsp;<br>&nbsp;- Mean temperature = mean temperature&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; T.soil_8_cm.mean&nbsp; &nbsp; (&deg;C)<br>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br><strong>Near-ground air temperature (15 cm)&nbsp;&nbsp;</strong> &nbsp;<br>&nbsp; &nbsp; - Mean temperature = mean temperature&nbsp; &nbsp; &nbsp; &nbsp;T.air_15_cm.mean&nbsp; &nbsp; &nbsp;(&deg;C)<br>&nbsp; &nbsp; - Maximum temperature = 95<sup>th</sup> percentile of daily maximum temperatures&nbsp;&nbsp;&nbsp; &nbsp;T.air_15_cm.max.95p&nbsp; &nbsp; (&deg;C)<br>&nbsp; &nbsp; - Minimum temperature = 5<sup>th</sup> percentile of daily minimum temperatures&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;T.air_15_cm.min.5p&nbsp; &nbsp; (&deg;C)<br>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br><strong>Air temperature (200 cm)</strong>&nbsp;&nbsp; &nbsp;</p> <p>&nbsp; &nbsp; - Mean temperature = mean temperature&nbsp; &nbsp; T.air_200_cm.mean&nbsp; &nbsp; (&deg;C)<br>&nbsp; &nbsp; - Maximum temperature = 95<sup>th</sup> percentile of daily maximum temperatures&nbsp;&nbsp;&nbsp; &nbsp;T.air_200_cm.max.95p&nbsp; &nbsp; (&deg;C)<br>&nbsp; &nbsp; - Minimum temperature = 5<sup>th</sup> percentile of daily minimum temperatures&nbsp;&nbsp; &nbsp; T.air_200_cm.min.5p&nbsp; &nbsp; (&deg;C)<br>&nbsp; &nbsp; - Growing degree days = sum of degree days above base temperature (base 5&deg;C)&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;T.air_200_cm.GDD5&nbsp; &nbsp; (&deg;C d)</p> <p><strong>BFE_script_and_data.zip</strong> contains</p> <p>&nbsp; &nbsp; &nbsp;- Microclimatic variables, topography and forest structure variables for all stations used for modelling (BFE_data.RData).<br>&nbsp; &nbsp; &nbsp;- Script BFE_microclimate_maps_model_script.R used for statistical modelling and prediction. <br>&nbsp; &nbsp; &nbsp;- microclimate2predict.csv - list of microclimate variables for prediction used in the script.</p> <p>The data used for prediction cannot be made publically available.&nbsp;&nbsp;<br>The LIDAR data can be obtained from Administration of Bavarian Forest National Park and &Scaron;umava National Park Administration. The LIDAR-derived topography and forest structure rasters can be obtained upon request from the authors.</p> <p>Detailed description will be available in a manuscript.</p> <p><strong>Version 2</strong> insludes improved rasters, the GeoTIFFs include aplha channel for transparency of pixels with NA and full script used for processing.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Text-fig. 4. Pollen diagram from Stará Jímka Lake in the Bohemian Forest (Analysed by E. Břízová). Radiocarbon dating: Radiocarbon Laboratory Gliwice, Poland. in Quillwort (Isoëtes), A Mysterious Plant From The Czech Republic

Text-fig. 4. Pollen diagram from Stará Jímka Lake in the Bohemian Forest (Analysed by E. Břízová). Radiocarbon dating: Radiocarbon Laboratory Gliwice, Poland.

opencc-by-4.0Aug 2011View details →
zenodo36/100

Text-fig. 2. Location map of the Bohemian Forest lakes (CR) and Wielki Staw Lake (Poland). in Quillwort (Isoëtes), A Mysterious Plant From The Czech Republic

Text-fig. 2. Location map of the Bohemian Forest lakes (CR) and Wielki Staw Lake (Poland).

opencc-by-4.0Aug 2011View details →
zenodo32/100

Decoding the Interactions Between Hydrological Processes and Nitrogen Cycling in Bohemian Mountainous Watersheds (Slavkov Forest)

<h1><strong>DATASET&nbsp;<br>Decoding the Interactions Between Hydrological Processes and Nitrogen Cycling in Bohemian Mountainous Watersheds (Slavkov Forest)&nbsp;</strong></h1> <p>F. Buzek<sup>1</sup>, B. Cejkova<sup>1</sup>, I. Jackova<sup>1</sup>, P. Kram<sup>1</sup>, F. Oulehle<sup>1</sup>, O. Myska<sup>1</sup>, F. Veselovsky<sup>1</sup>, J. Curik<sup>1</sup>&nbsp; and D.A. Petrash<sup>1</sup></p> <p>This dataset contains modeling parameters and model results on the influences of hydrological factors on nitrogen (N) mineralization and denitrification processes in three adjacent mountain catchments located in the Slavkov Forest, western Czech Republic, from 2016 to 2020</p>

opencc-by-4.0Dec 2023View details →
dryad32/100

Moose occurrence data in Bohemian Forest Ecosystem

<p>This dataset contains all gathered spatial data for moose occurrence in our study area (see manuscript). In the table you can find these attributes: country of the occurrence, data quality according to SCALP classification, details about occurrence, coordinates for used S-JTSK (5514) reference system, locality and year of the record.</p>

opencc-zeroOct 2021View details →
dryad32/100

Moose occurrence data in Bohemian Forest Ecosystem

Open the record for dataset details and reuse information.

publicOct 2021View details →
zenodo28/100

Figure 7 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 7 - Seasonal mean numbers of Auchenorrhyncha species (left) and adult hopper specimens (=individuals/m²; right) in the peat bogs of the Austrian part of the Bohemian Forest.

opencc-by-4.0Jul 2013View details →
zenodo28/100

Figure 4 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 4 - Percentage of the hibernation stages (left) and of generation numbers (right) of Auchenorrhyncha species recorded in Bohemian Forest peat bogs compared to those of the whole Austrian Auchenorrhyncha fauna (data from Holzinger 2009).

opencc-by-4.0Jul 2013View details →
zenodo28/100

Figure 5 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 5 - Total number of Auchenorrhyncha collected at the seven peat bog sites. Colours = ecological types (after Holzinger 2009). Abbreviations: BA = Bayrische Au, ST = Stadlau, IG = Moor am Iglbach, DE = Deutsches Haidl. ST-3 is the site with highest human impact (grazing, mowing, dehydratation); DE is a peat bog in much higher elevation than all other sites.

opencc-by-4.0Jul 2013View details →
zenodo28/100

Figure 6 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 6 - Number of tyrphobiontic and tyrphophilous species specialised on wetland plant species (data from Nickel 2003). Most plant species are utilised by their Auchenorrhyncha hosts also in the study sites, only Calamagrostis canescens and Molinia caerulea lack their mono-/oligophagous tyrphophilous "species set".

opencc-by-4.0Jul 2013View details →
zenodo28/100

Figure 3 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 3 - Auchenorrhyncha communities of the Austrian Bohemian Forest peat bogs: Presence of the ecological types (after Holzinger 2009) [percentage of total specimens].

opencc-by-4.0Jul 2013View details →
zenodo28/100

Figure 2 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 2 - Species abundance ranking. The species are ordered by their relative abundance (descending).

opencc-by-4.0Jul 2013View details →
zenodo28/100

Figure 1 from: Schlosser L, Holzinger W (2013) The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta, Hemiptera). ZooKeys 319: 153-167. https://doi.org/10.3897/zookeys.319.4324

Figure 1 - Location of the sampling sites in the Bohemian Forest (Upper Austria), overview. Samling sites: DE = Deutsches Haidl, ST = Stadlau, BA = Bayrische Au, IG = Moor am Iglbach. Map source: AMAP 3D.

opencc-by-4.0Jul 2013View details →

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