uid=AND,o=lter,dc=ecoinformatics,dc=org all public read SP009 Robert P. Griffiths

Oregon State University;Dept. of Forest Science;321 Richardson Hall Corvallis OR 97331-5752 USA

(541) 737-6559 bbgriff@peak.org griff@for.orst.edu Robert P. Griffiths

Oregon State University;Dept. of Forest Science;321 Richardson Hall Corvallis OR 97331-5752 USA

(541) 737-6559 bbgriff@peak.org griff@for.orst.edu Principal Investigator Robert P. Griffiths

Oregon State University;Dept. of Forest Science;321 Richardson Hall Corvallis OR 97331-5752 USA

(541) 737-6559 bbgriff@peak.org griff@for.orst.edu Abstractor Robert P. Griffiths

Oregon State University;Dept. of Forest Science;321 Richardson Hall Corvallis OR 97331-5752 USA

(541) 737-6559 bbgriff@peak.org griff@for.orst.edu Creator 2014-01-15 The main objective of this study was to determine if there were relationships between forest floor attributes such as the location of: (1) individual trees, (2) clusters of undergrowth vegetation, (3) coarse woody debris, (4) rocks and (5) topography and both soil characteristics and distribution patterns of ectomycorrhizal fungal mats. This data set includes mat, rock, wood, and moss distribution patterns (as presence or absence at each sampling node) as well as basic soil date taken at the same locations. The forest floor attributes were digitized using Esri ArcGIS. These GIS data layers are available as separate files in FSDB Database code SP029. biological processes inorganic nutrients organic matter ecosystems mycorrhizae LTER controlled vocabulary Long-Term Ecological Research (LTER) ecosystem processes Andrews Experimental Forest site thesaurus inorganic nutrients organic matter LTER core research areas Additional References: Keeney, D.R., and Bremner, J.M. 1966. Comparison and evaluation of laboratory methods of obtaining an index of soil nitrogen availability. Agronomical Journal 58, 498–503. Keeney, D.R., and Nelson, D.W. 1982. Nitrogen—inorganic forms. In Methods of soil analysis. Edited by A.L. Page, R.H. Miller, and D.R. Keeney. American Society of Agronomy, Madison, Wis. pp. 643–698. Alan Swanson, Amy Chadwick, Merrilee Robatzek, and Krista Schauer conducted the research. Jennifer Simmons digitized field sketches forest floor attributes using ArcInfo®. The National Science Foundation provided financial support from grants BSR-8717849, BSR-9011663, BSR-9106784, BIO-9200809, and DEB-9318502 from the Long-Term Ecological Research program. Data Use Agreement: The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials. It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and all data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. http://andlter.forestry.oregonstate.edu/data/abstract.aspx?dbcode=SP009 Andrews Experimental Forest near High 15 site -122.17100000 -122.17100000 44.26610000 44.26610000 1994-07-01 1995-07-31 We have long been interested in determining the extent to which plants and coarse woody debris (CWD) influenced forest soils. It has been speculated that plants impart changes in soils that effectively increase the resiliency of a stand to disturbance; this idea has been formalized in the concept of forest legacies (Perry et al., 1989). We have also been interested in factors influencing the distribution of ectomycorrhizal fungi. Earlier studies on 2 x 10 m plots showed not relationship between the distribution of rocks, trees and CWD and mat distribution patterns on the scale of a few meters. We wanted to determine if relationships between these features and mat distribution patterns could be detected at a larger scale. In this study we jumped from a 1 to at 5 m resolution. At this scale, the effects of large groupings of understory vegetation and large assemblages of CWD on mat distribution could be assessed. It also provided another opportunity to look at the role mats play in soil biogeochemical processes, supporting earlier studies (Griffiths et al., 1990, 91, 92; Aquiera and Griffiths, 1993).

An update history is logged and maintained with each new version of every dataset.

notPlanned Original metadata creation. Version1 2001-02-24 Metadata restructured and moved into SQLServer metadata database LTERMETA. Data moved into SQLServer database FSDBDATA. Version2 2002-04-17 Recreated CSV files with new delimiter for uploading into PASTA. Added database coordinates and created STCODE to be enumerated. Linked study to spatial database. Version7 2014-01-15 Information Manager

Andrews Forest LTER Program US Forest Service Pacific Northwest Research Station 3200 SW Jefferson Way Corvallis OR 97331

hjaweb@fsl.orst.edu http://andrewsforest.oregonstate.edu/ Robert P. Griffiths

Oregon State University;Dept. of Forest Science;321 Richardson Hall Corvallis OR 97331-5752 USA

(541) 737-6559 bbgriff@peak.org griff@for.orst.edu Andrews Forest LTER Site

Forest Ecosystems and Society Department in Forestry Oregon State University 201K Richardson Hall Corvallis OR 97331-5752

(541) 737-8480 lterweb@fsl.orst.edu http://andrewsforest.oregonstate.edu/ Field Methods - SP009 In the field, sketches were made of the location of individual trees, clusters of undergrowth vegetation, coarse woody debris, rocks and topography within a 25 x 260 m plot. These sketches were digitized using ArcInfo®. At each of the grid nodes, a 4.7 x 10 cm soil core was taken for subsequent analysis. The samples were transported to the laboratory in an ice chest and subsequently stored at 15°C until the initiation of analyses, usually within 16 h of their receipt. The following measurements were made in the field: litter depth, mineral soil respiration, soil temperature, and the presence of ectomycorrhizal mats in the cores. At each sample location (grid node) the presence or absence of moss, rocks and woody debris was also noted. Field (forest floor) respiration rates were measured with a nondispersive, infrared CO2 analyzer (Li-Cor®, LI-6200). Measurements were made over a period of 1 min after the chamber gas reached ambient CO2 concentration. The instrument was calibrated on site against a known standard at each location. A Q10 adjustment was made for ambient soil temperature. Soil temperature was measured by electronic thermometers calibrated at 0°C with ice water. The temperature probes were inserted into the mineral soil to a depth of 10 cm. Laboratory Methods - SP009 In preparation for laboratory analyses, all soils were sieved through a 2-mm sieve. Soil moisture was determined by drying duplicate 10 g field-moist sieved soils at 100 C for at least 8 h. The percent soil moisture was calculated by dividing the difference between wet and dry samples and dividing that number by the dry wt., which was then multiplied by 100. Soil organic matter was measured by loss-on-ignition at 550°C for 6 h after oven drying at 100°C. Extractable ammonium was determined by shaking 10 g of field-moist soil with 50 mL 2 M KCl for 1 h (Keeney and Nelson 1982), adding 0.3 mL 10 M NaOH to the slurry, and measuring ammonium concentration with an Orion model 95-12 ammonium electrode (Orion Research Inc., Boston, MA). Mineralizable N was measured by the water-logged technique of Keeney and Bremner (1966). For each analysis, 10 g of field-moist soil were added to 53 mL of distilled water in a 20 x 125 mm screw-cap test tube, and incubated at 40°C for 7 d. Then 53 mL of 4 M KCl were added to the slurry, and ammonium concentration was determined with the ammonium electrode. Mineralizable N was calculated as the difference between initial and final ammonium concentrations. Sample plot located at REU synoptic site #130: longitude = 122° 10.247' N; latitude = 44° 15.939' W. Site 200 meters south of the terminus of USFS road #327. Andrews Experimental Forest Sampling frequency: once only The objective was to determine if there were relationships between forest floor attributes; individual trees, clusters of undergrowth vegetation, coarse woody debris, rocks and topography influenced soil characteristics and the distribution patterns of ectomycorrhizal fungi. All forest floor features were mapped within a 25 x 260 m plot and digitized into GIS data layers. A sample grid was established within this plot with 4, 250 m parallel transects separated by 5 m. Samples were taken every 5 m along these transects to form a sampling grid with nodes every 5 m. The data contained within this dataset are the measurements made at those nodes. Andrews Experimental Forest (HJA) -122.26172200 -122.10084700 44.28196400 44.19770400 1631 1631 meter Sherri L. Johnson

US Forest Service ;Pacific NW Research Station ;3200 SW Jefferson Way Corvallis OR 97331 USA

541-758-7771 sherri.johnson2@usda.gov sherri.johnson@oregonstate.edu https://www.fs.fed.us/research/people/profile.php?alias=sherrijohnson Principal Investigator Julia A. Jones

Oregon State University;Department of Geosciences; Wilkinson Hall 104 Corvallis OR 97331-5506 USA

(541) 737-1224 Julia.Jones@oregonstate.edu geojulia@comcast.net http://ceoas.oregonstate.edu/profile/jones/ http://orcid.org/0000-0001-9429-8925 Principal Investigator Matthew G Betts

Department of Forest Ecosystems and Society; 201E Richardson Hall; College of Forestry; Oregon State University Corvallis OR 97331

(541) 737-3841 matt.betts@oregonstate.edu http://www.fsl.orst.edu/flel/index.htm Principal Investigator Michael P. Nelson

Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University Corvallis OR 97331

541-737-9221 mpnelson@oregonstate.edu http://www.michaelpnelson.com http://orcid.org/0000-0001-6917-4752 Principal Investigator David Bell david.bell@usda.gov david.bell@oregonstate.edu https://lemma.forestry.oregonstate.edu/about/david-bell Principal Investigator The H.J. Andrews Experimental Forest is a living laboratory that provides unparalleled opportunities for the study of forest and stream ecosystems in the central Cascade Range of Oregon. Since 1980, as a part of the National Science Foundation Long Term Ecological Research (NSF-LTER) program, the Andrews Experimental Forest has become a leader in the analysis of forest and stream ecosystem dynamics. Long-term field experiments and measurement programs have focused on climate dynamics, streamflow, water quality, and vegetation succession. Currently researchers are working to develop concepts and tools needed to predict effects of natural disturbance, land use, and climate change on ecosystem structure, function, and species composition. The Andrews Experimental Forest is administered cooperatively by the USDA Forest Service Pacific Northwest Research Station, Oregon State University and the Willamette National Forest. Funding for the research program comes from the National Science Foundation (NSF), US Forest Service Pacific Northwest Research Station, Oregon State University, and other sources. Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. National Science Foundation: DEB1440409 The Andrews Forest is situated in the western Cascade Range of Oregon, and covers the entire 15,800-acre (6400-ha) drainage basin of Lookout Creek. Elevation ranges from 1350 to 5340 feet (410 to 1630 m). Broadly representative of the rugged mountainous landscape of the Pacific Northwest, the Andrews Forest contains excellent examples of the region's conifer forests and associated wildlife and stream ecosystems. These forests are among the tallest and most productive in the world, with tree heights of often greater than 250 ft (75 m). Streams are steep, cold and clean, providing habitat for numerous aquatic organisms. 1 SP00901 Soil and surface data on 4 Hi-15 site transects: SP00901.csv 13979 31528c146e7e3de74e17e1ee0390f0b1 1 \r\n column , " http://andlter.forestry.oregonstate.edu/ltermeta/ltersearch/dataaccess.aspx?docid=SP00901_v2.csv STCODE FSDB Database Study code char(5) SP009 FSDB Database Study code SP009 FORMAT Entity number numeric(2,0) number 1.000000 natural 1.0000 1.0000 SITE Location along transect; each 5 meters apart numeric(3,0) number 1.000000 natural 1.0000 200.0000 TRANSECT Transect number; each 5 meters apart numeric(1,0) number 1.000000 natural 1.0000 4.0000 POSITION Consecutive position in transect (5m intervals) numeric(2,0) number 1.000000 natural 1.0000 50.0000 MOIST Percent moisture numeric(3,0) percent 1.000000 natural 5.0000 270.0000 SOILTEMP Soil temperature measured with licor numeric(4,1) degrees Celsius 0.100000 real 5.0000 12.0000 AIRTEMP Air temperature measured with licor numeric(4,1) degrees Celsius 0.100000 real 5.0000 20.0000 LIGHT Amount of light measured with licor numeric(5,1) micromoles per square meter per second 0.100000 real 0.0000 500.0000 SOM Soil organic matter numeric(5,1) percent 0.100000 real 40.0000 110.0000 LITTER Litter depth numeric(4,1) centimeters 0.100000 real 0.0000 10.0000 BULKDEN Bulk density numeric(5,3) grams per cubic centimeter 0.001000 real 0.0000 1.0000 MOSS Moss present on surface? 0 = no; 1 = yes char(1) 0 No 1 Yes ROCKY Rocks present on surface? 0 = no; 1 = yes char(1) 0 No 1 Yes WOOD Wood present on surface? 0 = no; 1 = yes char(1) 0 No 1 Yes MAT Mat present on surface? 0 = no; 1 = yes char(1) 0 No 1 Yes FLDRESP Field respiration rates numeric(4,1) grams per square meter per day 0.100000 real 0.0000 80.0000 EXAMM Extractable ammonium (dry weight basis) numeric(5,3) micromoles per gram 0.001000 real 0.0000 3.0000 MINN Mineralizable nitrogen (dry weight basis) numeric(5,2) micromoles per gram 0.010000 real 0.0000 50.0000 PRIMARY SP00901.SITE NOTNULL SP00901.FORMAT SP00901.LITTER SP00901.MAT SP00901.MOSS SP00901.POSITION SP00901.ROCKY SP00901.SITE SP00901.STCODE SP00901.TRANSECT SP00901.WOOD 200 grams per cubic centimeter grams per square meter per day micromoles per square meter per second centimeters; .01 meters micromoles per gram Degrees Celsius; a common unit of temperature; constantToSI=273.18 percent; a number dimensionless number, i.e., ratio, count