zip file with Shapefile
During the last decade, there have been two major objectives for my soils work at the HJA; to determine how (1) climate change and (2) forest disturbance influences soil nitrogen and carbon cycling. This study is designed to do both. Because of the broad geographical representation of these sites, all climate zones as influenced by slope, aspect and elevation, are represented as well as differing vegetation types, and disturbance histories. At the present time, we represent different climate zones primarily by elevation. As the climate models are perfected, soils data can be evaluated in terms of annual mean temperatures and precipitation.
This synoptic sampling grid was established to conduct basin-scale surveys of forest soil properties. In the first survey conducted in July 1993, forest floor respiration rates were measured at 130 sites covering a large portion of the HJA. The measurements made in this (SP05) were in situ field respiration. In addition to field respiration rates measured by the soda-lime method, soil and air temperatures were recorded along with maximum and minimum soil temperatures for the 24 hr CO2 collection period. Only one measurement was made per site. These data and associated metadata can be found in database SP05 under the title of "H.J. Andrews 1993 REU synoptic soil respiration of permanent forest sites". The following summer, a much more comprehensive study was conducted. The number of sites studied was expended to 183 sites located at 0.5 km intervals along all passable roads on the HJA. With the exception of the max-min soil temperature data, all variables measured in 1993 were repeated in 1994. In addition, the following variables were measured: pH, soil moisture, bulk density, soil organic matter, laboratory respiration (both long and short-term; with and without amendments), denitrification potential, extractable ammonium, and mineralizable nitrogen. In addition, we scored for the presence of moss on the surface and mycorrhizal mats found in 4.7 x 10 cm cores. These data and associated metadata are located in database SP06 entitled "H.J. Andrews 1994 REU study of soil chemical and microbiological properties". The main objective of this study was to provide a broad overview of soil chemical and biological properties to guide us in future large-scale HJA soil surveys. In 1998, we conducted another soil survey designed to provide an accurate assessment of soil properties over the entire HJA. The dataset entitled "The effects of topography on H.J. Andrews Experimental Forest soil characteristics" contains those data. After the 1993 and 1994 surveys, we changed the way we measured soil field respiration rates. Initially we used the 24 hr soda-lime CO2 adsorption method in chambers with only one measurement per site. In 1998 we converted to using the Li-Cor® portable respirometer with 5 measurements made per site.
There are no credits for this item.
While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Andrews LTER shall not be liable for damages resulting from any use or misinterpretation of data sets.
Extent
West | -122.257361 | East | -122.101694 |
North | 44.277879 | South | 44.203014 |
Maximum (zoomed in) | 1:5,000 |
Minimum (zoomed out) | 1:150,000,000 |
sp02801.zip
ground condition
m-f 0800-1630
Access constraints: Available on-line
Use constraints: See data access policy at www.fsl.orst.edu/lter (especially the data use policy)
While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Andrews LTER shall not be liable for damages resulting from any use or misinterpretation of data sets.
In the initial 1993 study, 130 sites were sampled which were located at 0.5 km intervals along most of the main roads. In 1994, the sampling grid was expanded to 183 sites providing a more comprehensive sampling grid. Because of potential edge effects problems, all sample locations were moved at least 20 meters from the closest road or clearing. Changes from the original location are given in Table 1. While conducting autocorrelation analyses, we found that for the variables studied, samples collected at 5 m intervals were not autocorrelated and could thus be considered independent for statistical analysis. For this reason, replicate samples were taken in plots separated by 5 meters along a transect parallel to the road.
GPS coordinates were used to generate sample locations from a synoptic soil sampling performed by students as part the Research Experience for Undergraduates program . Locations were converted to xy points and stored in a personal geodatabase. The locations were plotted on large scale map, with digital orthophoto. Bob Griffiths evaluated locations and directed movement of points. After editing, the points were converted to a shapefile.
m-f 0800-1630
coverage was converted to a shapefile and projected from NAD27 to NAD83
to meet requirements of US Forest Service
m-f 0800-1630
as time permits
Obtain information off of WWW site, call contact person for special requests.
REU site locations
source
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Feature geometry.
ESRI
Coordinates defining the features.
site number
FSDB documentation
unique identification number
complete latitude in decimal degrees
FSDB documentation
computer generated number
complete longitude in decimal degrees
FSDB documentation
computer generated number
elevation in meters
FSDB documentation
whole number
aspect in one of 10 directions
FSDB documentation
Site direction from road
FSDB documentation
position relative to the road
FSDB documentation
text string of comments
details about location
FSDB documentation
text of comments
changes from original location done in 1998
FSDB documentation
text of comments
FSDB documentation
position relative to the road
text of comments
FSDB documentation
changes in location during review by BG.
text description
FSDB documentation
changes recorded during review by BG.
text description
stand age as recorded during survey
FSDB documentation
vegetation codes from survey
FSDB documentation
text, string of vegetation codes from survey
This synoptic sampling grid was established to conduct basin-scale surveys of forest soil properties. In the first survey conducted in July 1993, forest floor respiration rates were measured at 130 sites covering a large portion of the HJA. The measurements made in this (SP05) were in situ field respiration. In addition to field respiration rates measured by the soda-lime method, soil and air temperatures were recorded along with maximum and minimum soil temperatures for the 24 hr CO2 collection period. Only one measurement was made per site. These data and associated metadata can be found in database SP05 under the title of "H.J. Andrews 1993 REU synoptic soil respiration of permanent forest sites". The following summer, a much more comprehensive study was conducted. The number of sites studied was expended to 183 sites located at 0.5 km intervals along all passable roads on the HJA. With the exception of the max-min soil temperature data, all variables measured in 1993 were repeated in 1994. In addition, the following variables were measured: pH, soil moisture, bulk density, soil organic matter, laboratory respiration (both long and short-term; with and without amendments), denitrification potential, extractable ammonium, and mineralizable nitrogen. In addition, we scored for the presence of moss on the surface and mycorrhizal mats found in 4.7 x 10 cm cores. These data and associated metadata are located in database SP06 entitled "H.J. Andrews 1994 REU study of soil chemical and microbiological properties". The main objective of this study was to provide a broad overview of soil chemical and biological properties to guide us in future large-scale HJA soil surveys. In 1998, we conducted another soil survey designed to provide an accurate assessment of soil properties over the entire HJA. The dataset entitled "The effects of topography on H.J. Andrews Experimental Forest soil characteristics" contains those data. After the 1993 and 1994 surveys, we changed the way we measured soil field respiration rates. Initially we used the 24 hr soda-lime CO2 adsorption method in chambers with only one measurement per site. In 1998 we converted to using the Li-Cor® portable respirometer with 5 measurements made per site.
During the last decade, there have been two major objectives for my soils work at the HJA; to determine how (1) climate change and (2) forest disturbance influences soil nitrogen and carbon cycling. This study is designed to do both. Because of the broad geographical representation of these sites, all climate zones as influenced by slope, aspect and elevation, are represented as well as differing vegetation types, and disturbance histories. At the present time, we represent different climate zones primarily by elevation. As the climate models are perfected, soils data can be evaluated in terms of annual mean temperatures and precipitation.
ground condition
Available on-line
See data access policy at www.fsl.orst.edu/lter (especially the data use policy)
In the initial 1993 study, 130 sites were sampled which were located at 0.5 km intervals along most of the main roads. In 1994, the sampling grid was expanded to 183 sites providing a more comprehensive sampling grid. Because of potential edge effects problems, all sample locations were moved at least 20 meters from the closest road or clearing. Changes from the original location are given in Table 1.
While conducting autocorrelation analyses, we found that for the variables studied, samples collected at 5 m intervals were not autocorrelated and could thus be considered independent for statistical analysis. For this reason, replicate samples were taken in plots separated by 5 meters along a transect parallel to the road.
GPS coordinates were used to generate sample locations from a synoptic soil
sampling performed by students as part the Research Experience for
Undergraduates program . Locations were converted to xy points and stored in a personal geodatabase. The locations were plotted on large scale map, with digital orthophoto.
Bob Griffiths evaluated locations and directed movement of points. After editing, the points were converted to a shapefile.
Dataset copied.
While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Andrews LTER shall not be liable for damages resulting from any use or misinterpretation of data sets.
Obtain information off of WWW site, call contact person for special requests.