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204 results for “bogs”
Marcell Experimental Forest biweekly surface water and monthly porewater chemistry at Bog Lake Peatland, 2007 - ongoing
This data set reports the chemistry of surface and porewater water from the Bog Lake peatland in the Marcell Experimental Forest (MEF) in Itasca County, Minnesota, which is operated and maintained by the USDA Forest Service, Northern Research Station. Surface water has been collected about every other week since 2007 from a pool of water and sampling is ongoing. Once covered with ice, water was typically sampled once a month. Porewaters at five depths (0 to 2 m depths) have been collected about monthly from three different nest of piezometers since 2013, though never when samplers were frozen. Samples are measured for pH, specific conductivity, anions (chloride, sulfate), cations (calcium, magnesium, potassium, sodium, aluminum, iron, manganese, strontium), silicon, nutrients (ammonium, nitrate, soluble reactive phosphorus, total nitrogen, total phosphorus), and total organic carbon.
Alaskan Peatland Experiment (APEX): Static chamber methane fluxes from bog sites, 2008-2011
This dataset includes the static chamber methane fluxes collected from 2008-2011 at the APEX bog site. The bog site includes three types of bogs: a permafrost bog (broken into a control and experimental area), a new collapse site (NW, Nwref, and SW), and an old collapse site (NE and SE). Static chambers are fluxed for methane approximately weekly at the collapse sites and monthly at the permafrost sites. The flux is calculated the linear change in concentration within the chamber over a 30 minute period. The flux is reported as mgCH4/m2/d.
Modeling CH4 and CO2 cycling using porewater stable isotopes in a thermokarst bog in Interior Alaska: Results from three conceptual reaction networks
Quantifying rates of microbial carbon transformation in peatlands is essential for gaining mechanistic understanding of the factors that influence methane emissions from these systems, and for predicting how emissions will respond to climate change and other disturbances. In this study, we used porewater stable isotopes collected from both the edge and center of a thermokarst bog in Interior Alaska to estimate in situ microbial reaction rates. We expected that near the edge of the thaw feature, actively thawing permafrost and greater abundance of sedges would increase carbon, oxygen and nutrient availability, enabling faster microbial rates relative to the center of the thaw feature. (full abstract available in supplemental file 610_NeumannPorewaterExtendedMetadataText.pdf)
MFS-M-00001 Air temperature at +2 m, raised bog-ridge, Thermochron (DS1921G-F5)
<p>Air temperature at 2m measured in a raised bog ecosystem (ridge) by Thermochron logger, 2009-present (with several breaks) as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00002 Air temperature at 2m measured in a raised bog-ridge, DS18B20 (APIK)
<p>Air temperature at 2m measured in a raised bog ecosystem by DS18B20 (temperature logger), 2018-2019, 30 min frequency, N60.89494 E68.66999, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
BSRLC+: An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022
<p><strong>(NEW) </strong>Baltic Sea Region Land Cover <em>Urban</em> (BSRLC-U) focusing on urban built-up types now available: <a href="https://zenodo.org/records/17347941">https://zenodo.org/records/17347941 </a></p> <p><strong>Baltic Sea Region Land Cover <em>Plus </em>(BSRLC+) </strong>is annual land cover mapping (30 m) dataset in Europe from 2000 to 2022. The maps contain detailed information of 18 land cover (LC) types, including 9 crop types and 2 peat bog types.</p> <p>Input data : Optical multi-temporal remote sensing imageries (Landsat 5 (TM) / 7 (ETM+) / 8 (OLI) / 9 (OLI+) and Sentinel 2 (A / B ) from 2000 to 2022. Data is processed to surface reflectance and tiled into datacube structure using <a href="https://doi.org/10.3390/rs11091124">Framework for Operational Radiometric Correction for Environmental monitoring - FORCE.</a></p> <p>Mapping method: Maps are produced using data encoding and deep learning classification according to <a href="https://doi.org/10.1016/j.jag.2024.103867">Pham et al. 2024</a></p> <p>Validation: Maps have been rigorously validated using independent in-situ data <a href="https://doi.org/10.1038/s41597-020-00675-z">The Land Use/Cover Area frame Survey (LUCAS)</a>. </p> <p>Traing data and validation data are available: <a href="https://zenodo.org/records/11073291">https://zenodo.org/records/11073291</a></p> <p>This dataset contains:</p> <ul> <li><strong>00_preview.png</strong>: Preview map (2022) of the Baltic Sea region</li> <li><strong>BSRLC_{year}.tif</strong>: Annual map data (30 m) in GeoTIFF format (projection ETRS89 / EPSG:3035)</li> <li><strong>BSRLC_legend.xlss</strong>: Land cover codes and class names</li> <li><strong>BSRLC_qgis_style.qml</strong>: Map style to be used in QGIS</li> <li><strong>BSRLC_arcgis_style.lyrx</strong>: Map style to be used in ArcGIS</li> </ul> <p>Land cover codes (can also be found in <strong>BSRLC_legend.xlss</strong>):</p> <ul> <li>1: Built-up</li> <li>2: Bareland</li> <li>3: Water</li> <li>4: Shrubland</li> <li>5: Broadleaf forest</li> <li>6: Coniferous forest</li> <li>7: Wetland marsh</li> <li>8: Exploited peat bog</li> <li>9: Unexploited peat bog</li> <li>10: Wheat</li> <li>11: Barley</li> <li>12: Rye</li> <li>13: Oat</li> <li>14: Maize</li> <li>15: Seed crops</li> <li>16: Root crops</li> <li>17: Pulses, vegetable</li> <li>18: Grassland</li> <li>255: Nodata</li> </ul> <p> </p> <p><strong>Publication (please cite this publication if you are using the dataset):</strong></p> <ul> <li>Pham, V.-D., de Waard, F., Thiel, F., Bobertz, B., Hellmann, C., Nguyen, D.-V., Beer, F., Arasumani, M., Schwieder, M., Hartleib, J., Frantz, D., & van der Linden, S. (2024). An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022. <em>Scientific Data, 11</em>, 1242, <a href="https://doi.org/10.1038/s41597-024-04062-w">https://doi.org/10.1038/s41597-024-04062-w</a></li> </ul> <p> </p> <p><strong>Other related publications:</strong></p> <ul> <li><em>Pham, V.-D., Tetteh, G., Thiel, F., Erasmi, S., Schwieder, M., Frantz, D., & van der Linden, S. (2024). Temporally transferable crop mapping with temporal encoding and deep learning augmentations. International Journal of Applied Earth Observation and Geoinformation, 129, 103867, <a href="https://doi.org/10.1016/j.jag.2024.103867">https://doi.org/10.1016/j.jag.2024.103867</a></em></li> <li><em>Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, <a href="https://doi.org/10.3390/rs11091124">https://doi.org/10.3390/rs11091124</a></em></li> </ul> <p> </p> <p><strong>Funding</strong></p> <p>This datatset is created in the frame of the Interdisciplinary Research Center for the Baltic Sea Region Research (IFZO) of University of Greifswald, Germany, and the research project Fragmented Transformations, which is funded by the German Federal Ministry of Education and Research (FKZ 01UC2102). </p>
Surface retreat rate from gullies at an eroding blanket bog, Aberdeenshire, UK.
<p>Surface retreat rate (erosion rate) or peat from seven erosion gullies within an eroding blanket bog. The bog is on a large high-altitude plateau blanket bog in the eastern part of the Cairngorms National Park, Scotland, UK (56.93° N, − 3.16° E, 642 m asl). </p> <p> Within each erosion gully, 9 1m steel pins (threaded rod) were inserted into the peat until they reached bed rock or were almost competely submerged (but still visible). The pins were oriented in a 1m2 square with 0.5m between each pin. Approximately every 2-4 months the distance between the top of each pin and the top of the peat was measured (measuring to the lowest point at which peat surace intersects with the pin).</p> <p>The dataset shows:</p> <p>Date: date at which the measurement was taken</p> <p>Gully: The gully number (1-7)</p> <p>Pin: The pin number within each gully (1-9)</p> <p>dL: Change in exposed length of pin (cm) compared to the start date of 27/09/2022</p>
Fig. 5 in The Diversity And Species Composition Of Water Beetles (Gyrinidae, Dytiscidae, Hydrophilidae) In A Peat Bog In Belarus
Fig. 5. Principal component analysis ordination according of water beetle assemblages in three different water body types: lakes (L), streams (S), and hollows (H). Complete species names are given in table 2.
Fig. 4 in The Diversity And Species Composition Of Water Beetles (Gyrinidae, Dytiscidae, Hydrophilidae) In A Peat Bog In Belarus
Fig. 4. Non-metric multidimensional scaling ordination according to the characteristic resemblance matrix (Bray-Curtis distance) of water beetle assemblages in three different water body types: lakes (L — samples marked as dots), streams (S — samples marked as pluses), and hollows (H — samples marked as squares).
The Provincelands of Cape Cod National Seashore, Barnstable County, Massachusetts, USA. The reddish vegetation in the center of the photo is a cranberry (Vaccinium macrocarpon) bog, a wetland used for breeding by the Fowler's toad. The surrounding landscape is ideal for the Fowler's toad and supports one of the largest populations of this species in the United States. The landscape contains a patchwork of sand, pitch pine (Pinus rigida), scrub oak (Quercus ilicifolia), and dune grass (Ammophila breviligulata). Photo by Rebecca Flaherty. in Fowler's Toad (Anaxyrus fowleri) occupancy in the southern mid-Atlantic, USA
The Provincelands of Cape Cod National Seashore, Barnstable County, Massachusetts, USA. The reddish vegetation in the center of the photo is a cranberry (Vaccinium macrocarpon) bog, a wetland used for breeding by the Fowler's toad. The surrounding landscape is ideal for the Fowler's toad and supports one of the largest populations of this species in the United States. The landscape contains a patchwork of sand, pitch pine (Pinus rigida), scrub oak (Quercus ilicifolia), and dune grass (Ammophila breviligulata). Photo by Rebecca Flaherty.
Fig. 7 in Differences Of The Bog And Dry Site Scots Pine Population Seedlings Germination And Early Growth
Fig. 7. Comparison of development stage when the terminal bud is formed between seedlings from bog site and dry site (mean development stage and standard error).
Fig. 5 in Differences Of The Bog And Dry Site Scots Pine Population Seedlings Germination And Early Growth
Fig. 5. Dry site seedlings early growth stages change during the first season till terminal bud formation.
Fig. 6 in Differences Of The Bog And Dry Site Scots Pine Population Seedlings Germination And Early Growth
Fig. 6. Bog site seedlings early growth stages change during the first season till terminal bud formation.
Figure 3 in Water mites (Acariformes: Hydrachnidia, Halacaroidea) of bogs of Western Siberia (Russia)
Figure 3. Seasonal dynamics of numbers of water mites and proportion of dominating species in bog No. 2.
Figure 2 in Water mites (Acariformes: Hydrachnidia, Halacaroidea) of bogs of Western Siberia (Russia)
Figure 2. Seasonal dynamics of numbers of water mites and proportion of dominating species in bog No. 1.
Figure 1 in Water mites (Acariformes: Hydrachnidia, Halacaroidea) of bogs of Western Siberia (Russia)
Figure 1. Dendrogram of faunal similarity of the studied bogs. Without taking into account bogs No. 4 and 7, in which one specimen of mites was indicated.
MD simulations of bOG:DMPC in CHARMM36 force field
<p>CHARMM-GUI based series of simulations of beta-octyl-D-glucopyranoside (b-OG) mixed with DMPC at different dilutions. bOG:DMPC mol ratios are 1:1, 1:2, and 2:3. The only change in the force field was changing atom names from 2H2 to H2 in BOG residue to allow **gmx grompp** to recognize protons as protons when setting up constraints for bonds with hydrogens.</p> <p>Simulations are performed in highly hydrated state. I can name it "more than 50 water per two acyl chains"; "water per lipid" measure doesn't work here because bOG has just a single hydrocarbon tail.</p> <p>Trajectory length: 500 ns (20 ps step). T = 303 K. </p> <p>In this version we add *znd files where atom names are unique (changed in a new version of BOG.itp).</p>
Linked collectors and determiners for: Herbario Museo de La Salle Bogotá (BOG).
Natural history specimen data linked to collectors and determiners held within, "Herbario Museo de La Salle Bogotá (BOG)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3dac6c1a-ef35-4804-9a7e-df3fd20621b3">https://bionomia.net/dataset/3dac6c1a-ef35-4804-9a7e-df3fd20621b3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3dac6c1a-ef35-4804-9a7e-df3fd20621b3">https://gbif.org/dataset/3dac6c1a-ef35-4804-9a7e-df3fd20621b3</a>. Formatted as a Frictionless Data package.
FIG. 1 in Mallomonas teres, sp. nov. (Chrysophyceae), simultaneously revealed in two distant European peat-bog regions
FIG. 1. — Body scales of Mallomonas teres, sp. nov.: A, B, scales observed in a transmission electron microscope; C, a scale observed in a scanning electron microscope. Scale bars: 1 µm.
Cellulose in situ Decomposition in a Bog Exposed to Increasing Nitrogen Treatments, 2012-2014
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. Bogs, being ombrotrophic, may be especially susceptible to increasing N deposition. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a bog near Mariana Lakes, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). We examined the effects of N addition on cellulose placed in the bog from 2012-2014 and collected after 5 and 17 months. Decomposition of cellulose filter paper in surface peat increased with N input. Water addition alone had no significant effect on exponential decay constants (k values). In control and 0 kg ha-1 yr-1 treatments, k values averaged 0.58 yr-1, corresponding to 42% of initial mass lost in the first year, while in the 25 kg ha-1 yr-1 treatment, k values averaged 1.27 yr-1, corresponding to 72% of initial mass lost in the first year. Assessment of decomposition and its controls may be especially important in peatlands, as the development and persistence of peat depends on an excess of NPP over decomposition throughout the peat profile. There is some evidence that increasing N deposition/availability stimulates cellulose decomposition in surface bog peat, as we found at Mariana Lakes Bog.
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OpenNeuro
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