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14 results for “log decomposition”
Comparison of terrestrial versus aquatic decomposition rates of logs at the Andrews Experimental Forest, 1985 to 2015
The data collected from this study describe the decomposition of small logs (20-30 cm diameter, 2 m length) in a stream channel to those on an adjacent upland site at the H. J. Andrews Experimental Forest. The stream is a 3rd order above the junction of Lookout Creek and Mack Creek. Three species of trees are being examined: Douglas-fir, western hemlock, and red alder. Data collection started in 1985 and is scheduled to continue to 2050. Periodically a subset of logs is resampled to determine changes in volume, bark cover, density, and nutrient stores. The last set of samples was collected in 2005. Logs ranging in diameter between 20 and 30 cm of a length of 2 m were cut out of live trees of the three species. Logs were placed by hand along a skid road at the terrestrial site. A cable system was used to place log randomly along a stream reach. The location of logs in the stream is noted when they are sampled. The length and diameter as well as bark cover of each sampled log is noted at the time of sampling (td01701). Six cross-sections are removed with a chainsaw. The thickness of the tissue types is noted (inner bark, outer bark, sapwood, and heartwood) and are described in td01702. Samples of each tissue type are taken to determine their moisture content (water mass/dry mass) and density (dry mass/green volume). Density is derived from dry mass and volume as determined via dimensional measurements. Dimensional data, volumes, masses, density, and moisture content are documented in the td01703 table. The volume of logs and tissue types, the total mass, and proportional mass of the tissue types as well as moisture contents is derived from the data in the other data tables and is stored in the td01704 table.
Log Decomposition Dynamics in Interior Alaska 1 - Site Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains descriptive information and location data for the sites used in the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 2a - Log Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the time zero tree and log physical measurement, and site mapping data for the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 2b - Log Sampling Schedule
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the sampling schedule for the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 3 - Disk Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the sample disk physical measurement data for the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 4 - Nutrient Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the sample nutrient analysis data for the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 5a - Preliminary Results (treatment down) - Absolute
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains preliminary absolute results for treatment=down part of the study.)
Log Decomposition Dynamics in Interior Alaska 5b - Preliminary Results (treatment down) - Retained
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains preliminary retention results for the treatment=down part of the study.)
Hubbard Brook Experimental Forest: Log decomposition sensor data
This data set documents the temporal and spatial variation of soil and deadwood moisture, and nearby microclimate, for the a four-month period from June to October 2018. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and main tained by the USDA Forest Service, Northern Research Station.
Leaf litter decomposition in old-growth and selectively logged forest
<p><strong>Description: </strong></p> <p>In a multifactorial experiment we investigated the consequences of selective logging for decomposition and nutrient cycling in Southeast Asia by testing the effects of chemical composition of leaf litter and site factors on leaf litter mass loss. Litterbags were used to estimate decomposition over a period of 24 weeks, litterbags were collected 2, 4, 6, 8, 13, 24 weeks after the start of the experiment.</p> <p><strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/124"><strong>Biodiversity and land-use impacts on tropical ecosystem function (BALI): Quantifying biogeochemistry across forest disturbance gradients in Sabah</strong></a></p> <p><strong>Funding: </strong>These data were collected as part of research funded by:</p> <ul> <li>NERC (Standard grant, NE/K016253/1)</li> </ul> <p>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.</p> <p> </p> <p><strong>Permits: </strong>These data were collected under permit from the following authorities:</p> <ul> <li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/2(383))</li> </ul> <p> </p> <p><strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3247639">here</a></p> <p><strong>Files: </strong>This consists of 1 file: Both_litter_decomposition_experiment.xlsx</p> <p><strong>Both_litter_decomposition_experiment.xlsx</strong></p> <p>This file contains dataset metadata and 3 data tables:</p> <ol> <li> <p><strong>chemical_composition_start</strong> (described in worksheet chemical_composition_start)</p> <p>Description: Chemical properties from the two leaf litter types before the experiment</p> <p>Number of fields: 19</p> <p>Number of data rows: 10</p> <p>Fields:</p> <ul> <li><strong>replicate</strong>: Replicate number (Field type: Replicate)</li> <li><strong>litter_type</strong>: Litter type (Field type: ID)</li> <li><strong>P_mg.g</strong>: Phosporus concentration in mg per g dry weight of leaf litter (Field type: Numeric)</li> <li><strong>N_perc</strong>: Nitrogen concentration in % of leaf litter, analysed in University of Aberdeen (Field type: Numeric)</li> <li><strong>C_perc</strong>: Carbon concentration in % of leaf litter, analysed in University of Aberdeen (Field type: Numeric)</li> <li><strong>C.N</strong>: Carbon nitrogen ratio of leaf litter, analysed in University of Aberdeen (Field type: Numeric)</li> <li><strong>P_perc</strong>: Phosporus concentration in % of leaf litter, analysed in University of Aberdeen (Field type: Numeric)</li> <li><strong>C.P</strong>: Carbon phosporus ratio of leaf litter, analysed in University of Aberdeen (Field type: Numeric)</li> <li><strong>N.P</strong>: Nitrogen phosporus ratio of leaf litter, analysed in University of Aberdeen (Field type: Numeric)</li> <li><strong>Ca_mg.g</strong>: Calcium concentration in mg per g dry weight of leaf litter (Field type: Numeric)</li> <li><strong>Mg_mg.g</strong>: Magnesium concentration in mg per g dry weight of leaf litter (Field type: Numeric)</li> <li><strong>Al_mg.g</strong>: Aluminium concentration in mg per g dry weight of leaf litter (Field type: Numeric)</li> <li><strong>K_mg.g</strong>: Potassium concentration in mg per g dry weight of leaf litter (Field type: Numeric)</li> <li><strong>soluble_cell_content</strong>: Soluble cell content in percent (Field type: Numeric)</li> <li><strong>nonsoluble_cell_content</strong>: Non-soluble cell content in percent (Field type: Numeric)</li> <li><strong>hemicellulose_bound_proteins</strong>: Hemicellulose and bound proteins content in percent (Field type: Numeric)</li> <li><strong>cellulose_lignin_recalcitrants</strong>: Soluble cell content in percent (Field type: Numeric)</li> <li><strong>cellulose</strong>: Cellulose content in percent (Field type: Numeric)</li> <li><strong>lignin_recalcitrants</strong>: Lignin and recalcitrants content in percent (Field type: Numeric)</li> </ul> </li> <li> <p><strong>chemical_composition_end</strong> (described in worksheet chemical_composition_end)</p> <p>Description: Chemical properties from individual leaf litter bags at the end of the experiment</p> <p>Number of fields: 18</p> <p>Number of data rows: 64</p> <p>Fields:</p> <ul> <li><strong>code</strong>: Identifyer for each leaf litter bag, coding for location-plotname-subplot pair-leaf litter type-mesh size-replicate (Field type: ID)</li> <li><strong>location</strong>: Location of experimental plots (M: Maliau; S: SAFE) (Field type: ID)</li> <li><strong>location_name</strong>: Plot name (Field type: Location)</li> <li><strong>plot</strong>: Running number of experimental plots (Field type: ID)</li> <li><strong>pair</strong>: Each plot contains two experimental units (making up a pair) (Field type: ID)</li> <li><strong>replicate</strong>: Each pair contained two replicates of the same treatment (litter type x mesh size) (Field type: replicate)</li> <li><strong>litter_type</strong>: Litter type (Field type: Categorical)</li> <li><strong>mesh</strong>: Mesh size of the litter bags (Field type: Categorical)</li> <li><strong>P_mg.g</strong>: Phosporus concentration in mg per g dry weight of dry leaf litter (Field type: Numeric)</li> <li><strong>K_mg.g</strong>: Potassium concentration in mg per g dry weight of dry leaf litter (Field type: Numeric)</li> <li><strong>Ca_mg.g</strong>: Calcium concentration in mg per g dry weight of dry leaf litter (Field type: Numeric)</li> <li><strong>Mg_mg.g</strong>: Magnesium concentration in mg per g dry weight of dry leaf litter (Field type: Numeric)</li> <li><strong>Al_mg.g</strong>: Aluminium concentration in mg per g dry weight of dry leaf litter (Field type: Numeric)</li> <li><strong>N_perc</strong>: Nitrogen concentration in % of dry leaf litter (Field type: Numeric)</li> <li><strong>C_perc</strong>: Carbon concentration in % of dry leaf litter (Field type: Numeric)</li> <li><strong>C.N</strong>: Carbon nitrogen ratio of dry leaf litter (Field type: Numeric)</li> <li><strong>cellulose</strong>: Cellulose concentration in % of dry leaf litter (Field type: Numeric)</li> <li><strong>lignin_recalcitrants</strong>: Lignin and recalcitrants concentration in % of dry leaf litter (Field type: Numeric)</li> </ul> </li> <li> <p><strong>litterbags_massloss</strong> (described in worksheet litterbags_massloss)</p> <p>Description: Mass loss of litter in litterbags over the experimental period of 24 weeks</p> <p>Number of fields: 17</p> <p>Number of data rows: 128</p> <p>Fields:</p> <ul> <li><strong>code</strong>: Identifyer for each leaf litter bag, coding for location-plotname-subplot pair-leaf litter type-mesh size-replicate (Field type: ID)</li> <li><strong>location</strong>: Location of experimental plots (Field type: ID)</li> <li><strong>plotname</strong>: Plot name (Field type: Location)</li> <li><strong>plot</strong>: Running number of experimental plots (Field type: ID)</li> <li><strong>pair</strong>: Each plot contains two experimental units (making up a pair) (Field type: ID)</li> <li><strong>replicate</strong>: Each pair contained two replicates of the same treatment (litter type x mesh size) (Field type: Replicate)</li> <li><strong>litter_type</strong>: Litter type (Field type: Categorical)</li> <li><strong>mesh</strong>: Mesh size of the litter bags (Field type: Categorical)</li> <li><strong>weight_t0</strong>: Initial weight at the beginning of the experiment, around 10 g per litter bag (Field type: Numeric)</li> <li><strong>weight_t1</strong>: Weight at time step 1 after 2 weeks (Field type: Numeric)</li> <li><strong>weight_t2</strong>: Weight at time step 1 after 4 weeks (Field type: Numeric)</li> <li><strong>weight_t3</strong>: Weight at time step 1 after 6 weeks (Field type: Numeric)</li> <li><strong>weight_t4</strong>: Weight at time step 1 after 8 weeks (Field type: Numeric)</li> <li><strong>weight_t5</strong>: Weight at time step 1 after 13 weeks (Field type: Numeric)</li> <li><strong>weight_t6</strong>: Weight at time step 1 after 24 weeks (Field type: Numeric)</li> <li><strong>t6_corrected</strong>: Weight at time step 1 after 24 weeks, corrected for contaminating material, mostly ingrown plant roots and fungal hyphae. This is the data to use. (Field type: Numeric)</li> <li><strong>mass_loss_%</strong>: Mass loss at the end of the experiment compared to the start of the experiment, in percent (Field type: Numeric)</li> </ul> </li> </ol> <p><strong>Date range: </strong>2014-05-01 to 2018-09-01</p> <p><strong>Latitudinal extent: </strong>4.5000 to 5.0700</p> <p><strong>Longitudinal extent: </strong>116.7500 to 117.8200</p>
H. J. Andrews Experimental Forest site, station H.J. Andrews Experimental Forest, study of decomposition measured by log density of Abies amabilis in units of gramsPerCubicCentimeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains decomposition measured by log density of Abies amabilis measurements in gramsPerCubicCentimeter units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station H.J. Andrews Experimental Forest, study of decomposition measured by log density of Pseudotsuga menziesii in units of gramsPerCubicCentimeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains decomposition measured by log density of Pseudotsuga menziesii measurements in gramsPerCubicCentimeter units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station H.J. Andrews Experimental Forest, study of decomposition measured by log density of Thuja plicata in units of gramsPerCubicCentimeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains decomposition measured by log density of Thuja plicata measurements in gramsPerCubicCentimeter units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station H.J. Andrews Experimental Forest, study of decomposition measured by log density of Tsuga heterophylla in units of gramsPerCubicCentimeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains decomposition measured by log density of Tsuga heterophylla measurements in gramsPerCubicCentimeter units and were aggregated to a yearly timescale.
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