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SA021: Epiphytic macrolichens in relation to forest management and topography in a western Oregon watershed, 1997-1999

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Status: notPlanned
Period: 1997-09-23 to 1999-09-15
Version: 5
Published: 2014-01-08
EDI Package ID: knb-lter-and.4547.5
Source XML: SA021_5.xml

Notice

"As Is" Basis: All content, including maps and forecasts, is provided without warranties. Users are advised to independently verify critical information.

Citation

McCune, B.; Berryman, S. 2014. Epiphytic macrolichens in relation to forest management and topography in a western Oregon watershed, 1997-1999 Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/SA021 Accessed 2026-05-10.

Abstract

Epiphytic macrolichen communities were sampled in 117 coniferous stands in Blue River watershed of western Oregon. Stands were sampled across various stand types defined by stand structure, according to age classes of the younger tree cohort and remnant tree retention. Remnant trees were those in an older cohort that remained following a stand disturbance that initiated tree regeneration, such as a timber harvest or natural forest fire. Stands were located in upland and riparian forests of two vascular plant series (western hemlock and true fir). Presence and abundance of all epiphytic macrolichen species were sampled in a 0.4 ha circular Forest Health Monitoring (FHM) plot in the 117 stands. Epiphytic lichen biomass (oven-dried, kg/ha) was estimated for three functional groups: nitrogen-fixing cyanolichens, forage lichens, and matrix lichens in 63 of the 117 stands.

Coverage

Temporal coverage: 1997-09-23 to 1999-09-15

Geographic coverage: Blue River Watershed

Spatial coverage:

Bounds: W -122.34493256, E -122.00000000, N 44.39608383, S 44.00000000

Purpose
  • This data was collected as part of a PhD dissertation to describe patterns in epiphytic macrolichen community composition, diversity, and biomass across various stand types in the Blue River watershed of western Oregon. The dissertation first examines the relative importance of ecological factors such as stand age, remnant tree retention, and topography to lichen communities in the landscape. It then develops models for estimating epiphytic macrolichen biomass and uses these models to assess potential impacts of forest management strategies on future lichen biomass in the watershed.
Project

Title: Long-Term Ecological Research

Personnel
  • Sherri L. Johnson - Principal Investigator
    US Forest Service ;Pacific NW Research Station ;3200 SW Jefferson Way, Corvallis, OR, 97331, USA
    Phone: 541-758-7771
    Email: sherri.johnson2@usda.gov, sherri.johnson@oregonstate.edu
  • Julia A. Jones - Principal Investigator
    Oregon State University;Department of Geosciences; Wilkinson Hall 104, Corvallis, OR, 97331-5506, USA
    Phone: (541) 737-1224
    Email: Julia.Jones@oregonstate.edu, geojulia@comcast.net
    ORCID: http://orcid.org/0000-0001-9429-8925
  • Matthew G Betts - Principal Investigator
    Department of Forest Ecosystems and Society; 201E Richardson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331
    Phone: (541) 737-3841
    Email: matt.betts@oregonstate.edu
  • Michael P. Nelson - Principal Investigator
    Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331
    Phone: 541-737-9221
    Email: mpnelson@oregonstate.edu
    ORCID: http://orcid.org/0000-0001-6917-4752
  • David Bell - Principal Investigator
    Email: david.bell@usda.gov, david.bell@oregonstate.edu
Abstract
  • 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.
Funding

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

Study Area Description
  • Long-Term Ecological Research
    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.
Associated Party
  • Bruce P. McCune
    Role: Principal Investigator
    Oregon State University;Dept. of Botany & Plant Pathology;4575 SW Research Way; Research Way Lab Building;, Corvallis, OR, 97333, USA
    Phone: (541) 737-1741
    Email: mccuneb@oregonstate.edu
  • Bruce P. McCune
    Role: Creator
    Oregon State University;Dept. of Botany & Plant Pathology;4575 SW Research Way; Research Way Lab Building;, Corvallis, OR, 97333, USA
    Phone: (541) 737-1741
    Email: mccuneb@oregonstate.edu
  • Shanti D. Berryman
    Role: Creator
    Botany and Plant Pathology ;Oregon State University, Corvallis, OR, 97331, USA
    Email: berryman@fastmail.fm, berrymas@onid.orst.edu
Contact
  • Information Manager
    Andrews Forest LTER Program, US Forest Service Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331
    Email: hjaweb@fsl.orst.edu
  • Shanti D. Berryman
    Botany and Plant Pathology ;Oregon State University, Corvallis, OR, 97331, USA
    Email: berryman@fastmail.fm, berrymas@onid.orst.edu
Publisher
  • Andrews Forest LTER Site
    Role: Publisher
    Forest Ecosystems and Society Department in Forestry, Oregon State University, 201K Richardson Hall, Corvallis, OR, 97331-5752
    Phone: (541) 737-8480
    Email: lterweb@fsl.orst.edu
Study Description

Epiphytic macrolichen communities were sampled in 117 coniferous stands in Blue River watershed of western Oregon. Stands were sampled across various stand types defined by stand structure, according to age classes of the younger tree cohort and remnant tree retention. Remnant trees were those in an older cohort that remained following a stand disturbance that initiated tree regeneration, such as a timber harvest or natural forest fire. Stands were located in upland and riparian forests of two vascular plant series (western hemlock and true fir). Presence and abundance of all epiphytic macrolichen species were sampled in a 0.4 ha circular Forest Health Monitoring (FHM) plot in the 117 stands. Epiphytic lichen biomass (oven-dried, kg/ha) was estimated for three functional groups: nitrogen-fixing cyanolichens, forage lichens, and matrix lichens in 63 of the 117 stands. This data was collected as part of a PhD dissertation to describe patterns in epiphytic macrolichen community composition, diversity, and biomass across various stand types in the Blue River watershed of western Oregon. The dissertation first examines the relative importance of ecological factors such as stand age, remnant tree retention, and topography to lichen communities in the landscape. It then develops models for estimating epiphytic macrolichen biomass and uses these models to assess potential impacts of forest management strategies on future lichen biomass in the watershed. Field Methods - SA021

Purpose: This data was collected as part of a PhD dissertation to describe patterns in epiphytic macrolichen community composition, diversity, and biomass across various stand types in the Blue River watershed of western Oregon. The dissertation first examines the relative importance of ecological factors such as stand age, remnant tree retention, and topography to lichen communities in the landscape. It then develops models for estimating epiphytic macrolichen biomass and uses these models to assess potential impacts of forest management strategies on future lichen biomass in the watershed.

Methods

Method Steps

Field Methods - SA021
  • We located stand types described above from aerial photos. Most stands were within the Blue River watershed, however some stands were located outside of the watershed, but still on the Willamette National Forest and within the AMA boundaries (Berryman 2002). Stands sampled outside of the Blue River watershed represented stand types that were scarce or absent in the watershed. Stands were sampled in the summers of 1997-1999 using one permanent plot (34.7 m radius, 0.4 ha) per stand following the FHM plot methodology (McCune et al. 1997b). A total of 117 plots were permanently installed for this study.
  • Once the stand was located on the ground, a reference point (RP) was established along the road to assist in future plot relocation. From the RP (typically a tree) we chose an approximate azimuth into the stand. The RP was labeled with metal tags indicating the azimuth and distance to plot center. This azimuth was followed for 46.0 m (not slope-corrected) plus a two-digit random integer. Plot center was located no less than 46.0 m from: designated reserve areas in timber sales (other than stream buffers); the stand edge; roads; campgrounds; and power lines. Failing this, another random number was chosen and the same azimuth was followed until plot center was located outside of these exclusive areas and at least within 46.0 m of the stand edge. Riparian plots were installed to border the stream edge.
  • Plot center was marked with steel rebar and PVC pipe to increase the possibility of plot relocation after major disturbances, such as a fire or timber harvest. Three RP trees near plot center were tagged to reference the plot center with an azimuth and distance to facilitate relocation
  • The Forest Health Monitoring (FHM) lichen method was used to sample lichen communities in each stand. These data will be used as a baseline for long-term monitoring of lichen communities in the managed landscape. In each FHM plot, the surveyor completed a maximum two-hour ocular lichen community survey. The survey method consisted of two parts performed simultaneously (McCune et al. 1997): 1. The field surveyor used a field check list of easily identifiable lichens in the field and sometimes collected voucher specimens of these species. Voucher specimens were collected for all other species that could not be easily identified in the field. The collection represented the species diversity and composition of epiphytic macrolichens in the plot as fully as possible. The population sampled consisted of all macrolichens occurring on woody plants, excluding the 0.5 m basal portions of trees and shrubs below 0.5 m. Given the large plot area, lichen litter and fallen branches provided a sample of the canopy lichens. 2. The abundance of each species was estimated using a five-step scale (modified from McCune et al. 1997): 0 = absent; 1 = rare (less than 3 individuals per plot); 2 = uncommon (4-10 individuals per plot); 3 = common (greater than10, but less than 40 individuals per plot); 4 = very common (greater than 40 individuals per plot, but less than half of the available substrate was covered by the species); 5 = abundant (more than half of the available substrate had the species present).
  • The FHM method has been used to sample lichen communities in over 1,000 plots for the FHM program nationwide (McCune 2000) and has been used by the Pacific Northwest Forest Service Air Quality Biomonitoring Project for nearly 1,000 lichen community plots in Oregon and Washington (L. Geiser, unpublished data). Field methods have been documented for repeatability and quality assurance and are described in McCune et al. (1997).
  • We estimated epiphytic lichen biomass from lichen litterfall on the forest floor in litter plots, sub-sampled in each stand. Epiphytic lichen biomass includes all epiphytic lichens growing on boles and branches of trees and tall shrubs. Collecting lichen litter in late summer (late August through October) avoids the large and variable amounts of litter that can occur in winter months due to large storm events (Stevenson and Rochelle 1984; Esseen 1985). Late summer litter does not represent annual litterfall because lichen litter in the forests of the western Cascades is eaten and decomposes rapidly (McCune and Daly 1994). However, such samples can be used to estimate epiphytic lichen biomass at the stand level (Neitlich 1993; McCune 1994; Peck and McCune 1997; Sillett and Goslin 1999). Annual variation in litterfall is one source of error in such estimates. Hence, this method should be based on samples collected during one late-summer period and is best used for estimating large relative differences in epiphytic lichen biomass among stands over a large area (McCune 1994).
  • Lichen litter was collected in a minimum of one stand per stand type. Of the 117 stands in which we collected lichen community data, we sampled 63 stands for lichen litter biomass. The 63 stands were chosen to include the full range of stand types included in the 117 stands. In each stand, epiphytic macrolichen litter was sampled in 2 m radius circular plots ("litter plots"). Depending on the stand age and complexity of canopy structure, ten to fifteen litter plots were sampled for each stand (McCune 1994). Stands with obviously low lichen biomass (e.g., even-aged young stands, less than 20 yr) were sampled with ten litter plots. Old growth (greater than 200 yr), mature stands (81-200 yr), and most stands with remnants were sampled with 15 litter plots.
  • Litter plots were placed along three transects per stand at randomly selected intervals, but constrained to 12-30 m between plots (two transects if sampling only ten litter plots). Transects were established parallel to the contour, intersecting the FHM plot center for the first transect. The other two transects were parallel to the first, separated by 12 m. This achieved interspersion throughout the stand. Some litter plots were placed outside of the FHM plot boundaries, though still within the stand. Five litter plots were sampled per transect.
  • Epiphytic macrolichens were divided into three functional groups based on their roles in the forest ecosystem (McCune 1993). These groups include "cyanolichens," which consist of all nitrogen-fixing lichens with cyanobacteria present as either the primary or secondary photobiont; the major contributors to this group included primarily Lobaria oregana and to a lesser degree L. pulmonaria. "Forage lichens" consist of all pendulous fruticose lichens. These are used for forage by wildlife, primarily the genera Usnea, Alectoria, and Bryoria. "Matrix lichens" account for all remaining green-algal macrolichens, primarily foliose in growth form, most commonly Platismatia and Hypogymnia.
  • We modified McCune’s (1994) litter-pickup method for estimating stand-level lichen biomass to expedite sampling across many stands at the landscape scale. The "reference method" was developed based on visual biomass estimates of thalli to sample lichen litter from the forest floor more rapidly, while maintaining a similar level of accuracy to that obtained with the litter-pickup method. The visual estimates of lichen biomass were made using reference lichen samples for calibration. This method was adapted from Rosso et al. (2000) and Campbell et al. (1999), in which they visually estimated biomass of lichens and bryophytes in the forest canopy using air-dried reference samples for calibration. The reference method is also a modification of the abundance classes (defined by grams of lichen) used by Stevenson et al. (1998) to estimate arboreal forage lichen biomass. We modified these approaches to visually estimate lichen litter biomass by functional group on the forest floor.
  • We estimated lichen litter biomass during the late summers of 1997–1999, during which each of the 63 stands was sampled once for lichen litter. Within each litter plot, oven-dried samples from each functional group (0.1, 1.0, 5.0, 10.0 g) were used as references for calibrating estimates of lichen litter biomass in the field. To assess reliability of the method, estimates from the reference method were calibrated against true litter-pickup masses for one litter plot in each of 16 different stands. Two field collectors calibrated their biomass estimates from the lichen litter plot to true lichen masses (16 litter plots per field collector). The “picked-up” specimens were air-dried, then oven-dried at 60°C for 24 hours, and then weighed to the nearest milligram in the lab. Daily calibrations were also made between estimates of biomass for individual clumps of lichen litter and true lichen masses for each functional group. These calibrations allowed field collectors to gauge the accuracy of their litter estimates. We also calibrated litter estimates between field collectors to improve precision of the estimates.
  • Lichen biomass data was entered at the sub-plot level for each stand. Data were cross-checked once for data entry errors. Lichen biomass data were averaged across all subplots by functional group for each stand, resulting in one mean biomass value at the stand level for each functional group: cyanolichen, matrix lichen and forage lichen.
  • At each stand, basic plot level information was recorded and the “stand type” for the plot was classified. Plot level information included: the date of sampling (note that all measurements for a plot were taken in one day, including lichen communities, lichen biomass, overstory trees and plot data); latitude and longitude coordinates and elevation (m) were taken from the GPS unit at plot center; percent slope was taken at plot center (averaging both up-hill and down-hill measurements using a clinometer); aspect was taken at plot center (degrees east of true north using a compass); topographic position of the stand in relation to the surrounding landscape was classified; and a code of 0 or 1 was assigned if lichen biomass was collected (0=no biomass, 1=lichen biomass was collected).
  • To classify the “stand type” we verified and recorded information for four main attributes. The overall vascular plant series for the FHM plot was determined using the Willamette National Forest Plant Association and Management Guide (Logan et. al. 1987), and the topographic position was recorded (upland or riparian intermittent stream, riparian perennial fish-bearing stream or riparian perennial non fish-bearing stream). The age class of the younger cohort was estimated for the stand, or, if the age class was difficult to determine, we cored representative trees to better estimate stand age. Old growth was defined as stands greater than 200 yr with highly variable canopy layers. Total percent canopy cover of remnant trees was used as an estimate of total percent retention of remnants for a stand. We estimated canopy cover of remnants in the field from dbh and crown width. J. Mayo (unpublished data) developed a table for estimating canopy cover of trees from dbh. This table is based on the relationship of dbh to crown width, from which percent canopy cover by each remnant tree was calculated. Remnants were typically Pseudotsuga menziesii, and in some cases Tsuga heterophylla, Thuja plicata, or Abies procera. Remnant tree age was not measured.
  • We calculated the heat load index and potential direct incident radiation for each stand. The heat load index represents the amount of heat a site potentially receives and is derived from models based on latitude, slope, and aspect (McCune and Keon 2002). Potential direct incident radiation (MJ/cm/yr) represents the amount of light a site potentially receives, and is also derived from latitude, slope, and aspect.
  • Overstory basal area (BA) was measured with an angle gauge (note: a relescope was used in 1997 only) in five variable-radius subplots within each stand: one at plot center and the other four at 23.0 m in each cardinal direction from plot center (subplot labels were: plot center=1, N=2, E=3, S=4, W=5). A consistent BA factor (BAF) was used for all subplots within one stand, though the factor varied across all stands, depending on tree size and density. The goal for repeatability of BA was a standard error of less than 15% of the mean. Stand basal area (BA, m/ha) was measured for all live and dead trees, separating hardwoods and conifers. However, at two plots (SB14 and SB17) we were unable to perform BA measurements because the stand was very young and dense (i.e., dog-hair stand). Instead, we did a count of trees per 1/10 acre for each subplot and no BAF was used. BA calculations for the plot level were made by averaging BA data across the 5 subplots to generate six BA variables as the plot level: total BA of live trees, basal area of conifers, BA of conifers, BA of hardwoods, BA of dead trees, and BA of remnants. In addition, we calculated the percent total BA that was comprised of remnant trees in the stand.
  • All overstory trees that were accounted for in the BA variable-radius subplots (or those trees that were “in”) were measured. Overstory tree measurements included: identifying species (species acronym recorded); forestry assessment of tree condition class; diameter at breast height (dbh); percent ratio of live crown class; and assignment of crown class (note: see class code descriptions in metadata file). Crown width was measured only for remnant trees, measured from the center of the tree bole, out to the tip of the crown edge (estimating by looking up). The longest branch was the starting point for measuring the crown width.
Taxonomic Procedures - SA021
  • All lichen vouchers collected in the field were identified in the laboratory by Shanti Berryman, with the assistance of Dr. Bruce McCune. Lichen nomenclature followed McCune and Geiser (1997), and McCune’s key (2002, http://oregonstate.edu/~mccuneb/Usnea.PDF) to the genus Usnea in the Pacific Northwest. Thin layer chromatography was performed when necessary for identification. In addition, some specimens were sent to lichen specialists for verification. Representative voucher specimens were curated and deposited in the Oregon State University Herbarium (OSC).
  • All lichen community data were recorded on FHM lichen identification data sheets during identification in the laboratory and data were entered using compact format (text file; McCune and Mefford 1999) for PCORD using lichen species codes from the FHM lichen program species list. Duplicate collections of species at a given plot were combined following the FHM lichen program protocol (http://www.fia.fs.fed.us/library/field-guides-methods-proc/). All lichen community data entries were cross-checked once for data entry errors.

Sampling

Study Extent
  • The study site is located in the Blue River watershed of the Central Cascades Adaptive Management Area (AMA) in the Willamette National Forest, Oregon.
  • Sampling frequency: one-time sampling
Sampling Description
  • The study site is located in the Blue River watershed of the Central Cascades Adaptive Management Area (AMA) in the Willamette National Forest, Oregon. Stands were sampled between 44.0 and 44.5 degrees N, and 122.0 and 123.0 degrees W. The Blue River watershed consists of 23,900 ha of conifer-dominated forest on steep volcanic terrain of the Cascade Mountain Range, ranging from 317 – 1,639 m in elevation (Cissel et al. 1999; Figure 1). Annual precipitation averages 220 cm (ranging from 55 to 361 cm), deposited as rain or snow in higher elevations, mainly between October and April. The winters are mild and wet with average temperature of 2 degrees C in January (ranging from -1.5 to 7.3 degrees C), and the summers are warm and dry with average temperature of 19 degrees C in July (ranging from 15 to 22 degrees C). The northern section of the watershed consists of a narrow band of high elevation, Abies amabilis (Dougl.) Forbes (Pacific silver fir) and Abies procera Rheder (Noble fir) dominated forest (hereafter, “true fir series;” Logan et al. 1987). Most of the watershed is lower elevation forest dominated by Pseudotsuga menziesii (Mirb.) Franco. (Douglas fir) and Tsuga heterophylla (Raf.) Sarg. (western hemlock; hereafter, “western hemlock series;” Logan et al. 1987).
  • The Blue River watershed has had decades of fire suppression and timber extraction. Historical fire regimes varied in frequency and severity within the watershed (Weisberg 1998). Forests in true fir series burned infrequently (mean fire interval of 260 yr), but fires were severe with high mortality (greater than 80%). The fire return interval for the western hemlock series ranged from 100 to 180 yr with less severe burns (40-80% mortality). Consequently, forests in the two plant series will be managed differently in the Blue River watershed, as part of the Landscape Plan (LP) which is an adaptive management approach using historical fire history as reference for management (Cissel et al. 1999).
  • Lichen communities were sampled in forest stands according to a stratified random design. Forest stands were stratified by four attributes, modified from Cissel et al. (1999; Figure 2):
  • two plant series (western hemlock and true fir), plant series were determined based on the key to climax vegetation, Logan et al. 1987;
  • four age classes (the younger tree cohort; young less than 20 yr, pole 21-80 yr, mature 81-200 yr; and old growth greater than 200 yr);
  • four classes of remnant retention based on the percent canopy cover of remnant trees that survived from the previous stand, following a disturbance that initiated tree regeneration: 0 = 0 - 7.5%; 15 = 7.5 - 22.5%; 30 = 22.5 - 37.0%; 50 = 37.0 - 62.0%. Remnant trees included the older live trees that remained following the most recent timber harvest or those old trees that survived a natural forest fire. The characteristics of remnant trees (i.e., size, crown structure) varied among stands because remnants from a timber harvest were often smaller and younger than those remnants surviving forest fires. Old-growth stands were not stratified by remnant classes. Only 0% and 15% retention classes were sampled in the true fir series, since future management strategies will prescribe only these retention levels in the true fir series (Cissel et al. 1999);
  • four topographic classes (upland, and three riparian stream classes: intermittent; perennial non fish-bearing; and perennial fish-bearing). We adopted these stream classes from the LP management strategy to strengthen the link between our results and management activities.
  • Upland stands were at least two tree-heights (about 105 m) from perennial streams (hereafter referred to as “perennial fish-bearing”) and one tree-height (about 52 m) from all other streams (USDA and USDI 2001). Riparian stands were defined as having some part of the stream within or immediately bordering the plot boundary. Intermittent streams formed narrow channels and the stream-bank vegetation was similar to that of upland slopes. Perennial streams formed wider channels and vegetation along the stream banks was characteristic of riparian areas, including hardwood trees and shrubs. We were unable to identify stands along perennial streams with a definite remnant cohort; therefore, these stands were stratified by the age-class of the co-dominant tree cohort, ignoring the remnant stratum (Figure 2).
  • The design yielded 34 possible stand types for the western hemlock series and 22 for the true fir series, of which we sought to sample three stands each. However, some stand types were sampled with fewer stands or were not sampled due to their scarcity or absence in the landscape (such as stands with remnant retention greater than or equal to 30%). The 50% remnant retention class was uncommon in the landscape at the time of sampling and was therefore under-represented compared to other retention classes. The 50% retention class will become more prominent in the future landscape as managed under the LP (Cissel et al. 1999). We sampled 27 stand types in the western hemlock series, 6 of which were sampled with less than 3 stands. In the true fir series we sampled 18 stand types, 10 of which were sampled with less than 3 stands.
Spatial Sampling Units
  • Cascade Mountains, Oregon and Washington
    W -122.65947700, E -122.27221300, N 41.90189100, S 48.91215300
    Altitude: 4392 to 4392 meter
  • Shanti Berryman Lichen Plot 001
    W -122.29175568, E -122.29175568, N 44.16998291, S 44.16998291
    Altitude: 579 to 579 meter
  • Shanti Berryman Lichen Plot 002
    W -122.29055786, E -122.29055786, N 44.27072144, S 44.27072144
    Altitude: 1219 to 1219 meter
  • Shanti Berryman Lichen Plot 003
    W -122.29241943, E -122.29241943, N 44.27050018, S 44.27050018
    Altitude: 1219 to 1219 meter
  • Shanti Berryman Lichen Plot 004
    W -122.29086304, E -122.29086304, N 44.20035934, S 44.20035934
    Altitude: 732 to 732 meter
  • Shanti Berryman Lichen Plot 005
    W -122.18629456, E -122.18629456, N 44.26362610, S 44.26362610
    Altitude: 975 to 975 meter
  • Shanti Berryman Lichen Plot 006
    W -122.17684937, E -122.17684937, N 44.26370621, S 44.26370621
    Altitude: 944 to 944 meter
  • Shanti Berryman Lichen Plot 007
    W -122.29058075, E -122.29058075, N 44.17016602, S 44.17016602
    Altitude: 616 to 616 meter
  • Shanti Berryman Lichen Plot 008
    W -122.20070648, E -122.20070648, N 44.24137497, S 44.24137497
    Altitude: 652 to 652 meter
  • Shanti Berryman Lichen Plot 009
    W -122.18013763, E -122.18013763, N 44.29330444, S 44.29330444
    Altitude: 841 to 841 meter
  • Shanti Berryman Lichen Plot 010
    W -122.16423035, E -122.16423035, N 44.33226013, S 44.33226013
    Altitude: 1438 to 1438 meter
  • Shanti Berryman Lichen Plot 011
    W -122.15890503, E -122.15890503, N 44.33200455, S 44.33200455
    Altitude: 1347 to 1347 meter
  • Shanti Berryman Lichen Plot 012
    W -122.14258575, E -122.14258575, N 44.32363129, S 44.32363129
    Altitude: 1274 to 1274 meter
  • Shanti Berryman Lichen Plot 013
    W -122.17074585, E -122.17074585, N 44.33066177, S 44.33066177
    Altitude: 1463 to 1463 meter
  • Shanti Berryman Lichen Plot 014
    W -122.13056946, E -122.13056946, N 44.31846237, S 44.31846237
    Altitude: 1158 to 1158 meter
  • Shanti Berryman Lichen Plot 015
    W -122.25061798, E -122.25061798, N 44.21623230, S 44.21623230
    Altitude: 469 to 469 meter
  • Shanti Berryman Lichen Plot 016
    W -122.16779327, E -122.16779327, N 44.28850555, S 44.28850555
    Altitude: 896 to 896 meter
  • Shanti Berryman Lichen Plot 017
    W -122.13489532, E -122.13489532, N 44.33080673, S 44.33080673
    Altitude: 1188 to 1188 meter
  • Shanti Berryman Lichen Plot 018
    W -122.21879578, E -122.21879578, N 44.32557678, S 44.32557678
    Altitude: 1188 to 1188 meter
  • Shanti Berryman Lichen Plot 019
    W -122.22137451, E -122.22137451, N 44.30754852, S 44.30754852
    Altitude: 890 to 890 meter
  • Shanti Berryman Lichen Plot 020
    W -122.22398376, E -122.22398376, N 44.30977631, S 44.30977631
    Altitude: 963 to 963 meter
  • Shanti Berryman Lichen Plot 021
    W -122.22649384, E -122.22649384, N 44.30910110, S 44.30910110
    Altitude: 871 to 871 meter
  • Shanti Berryman Lichen Plot 022
    W -122.25454712, E -122.25454712, N 44.31787872, S 44.31787872
    Altitude: 1213 to 1213 meter
  • Shanti Berryman Lichen Plot 023
    W -122.22696686, E -122.22696686, N 44.28716660, S 44.28716660
    Altitude: 896 to 896 meter
  • Shanti Berryman Lichen Plot 024
    W -122.16931915, E -122.16931915, N 44.29024506, S 44.29024506
    Altitude: 853 to 853 meter
  • Shanti Berryman Lichen Plot 025
    W -122.17044067, E -122.17044067, N 44.28989792, S 44.28989792
    Altitude: 822 to 822 meter
  • Shanti Berryman Lichen Plot 026
    W -122.08719635, E -122.08719635, N 44.31628036, S 44.31628036
    Altitude: 1377 to 1377 meter
  • Shanti Berryman Lichen Plot 027
    W -122.06960297, E -122.06960297, N 44.30563354, S 44.30563354
    Altitude: 1243 to 1243 meter
  • Shanti Berryman Lichen Plot 028
    W -122.23383331, E -122.23383331, N 44.04850006, S 44.04850006
    Altitude: 1210 to 1210 meter
  • Shanti Berryman Lichen Plot 029
    W -122.16917419, E -122.16917419, N 44.25529480, S 44.25529480
    Altitude: 859 to 859 meter
  • Shanti Berryman Lichen Plot 030
    W -122.27058411, E -122.27058411, N 44.22588730, S 44.22588730
    Altitude: 579 to 579 meter
  • Shanti Berryman Lichen Plot 031
    W -122.12772369, E -122.12772369, N 44.26647186, S 44.26647186
    Altitude: 1249 to 1249 meter
  • Shanti Berryman Lichen Plot 032
    W -122.13211823, E -122.13211823, N 44.28177643, S 44.28177643
    Altitude: 1225 to 1225 meter
  • Shanti Berryman Lichen Plot 033
    W -122.13366699, E -122.13366699, N 44.28221512, S 44.28221512
    Altitude: 1255 to 1255 meter
  • Shanti Berryman Lichen Plot 034
    W -122.12468719, E -122.12468719, N 44.24209976, S 44.24209976
    Altitude: 1469 to 1469 meter
  • Shanti Berryman Lichen Plot 035
    W -122.17703247, E -122.17703247, N 44.23232651, S 44.23232651
    Altitude: 682 to 682 meter
  • Shanti Berryman Lichen Plot 036
    W -122.12672424, E -122.12672424, N 44.26824570, S 44.26824570
    Altitude: 1277 to 1277 meter
  • Shanti Berryman Lichen Plot 037
    W -122.25498199, E -122.25498199, N 44.31618118, S 44.31618118
    Altitude: 1219 to 1219 meter
  • Shanti Berryman Lichen Plot 038
    W -122.24430847, E -122.24430847, N 44.32199860, S 44.32199860
    Altitude: 1310 to 1310 meter
  • Shanti Berryman Lichen Plot 039
    W -122.29086304, E -122.29086304, N 44.23891830, S 44.23891830
    Altitude: 744 to 744 meter
  • Shanti Berryman Lichen Plot 040
    W -122.22016907, E -122.22016907, N 44.08050156, S 44.08050156
    Altitude: 682 to 682 meter
  • Shanti Berryman Lichen Plot 041
    W -122.16930389, E -122.16930389, N 44.30461121, S 44.30461121
    Altitude: 841 to 841 meter
  • Shanti Berryman Lichen Plot 042
    W -122.21219635, E -122.21219635, N 44.18655396, S 44.18655396
    Altitude: 457 to 457 meter
  • Shanti Berryman Lichen Plot 043
    W -122.16500092, E -122.16500092, N 44.21844482, S 44.21844482
    Altitude: 786 to 786 meter
  • Shanti Berryman Lichen Plot 044
    W -122.00000000, E -122.00000000, N 44.00000000, S 44.00000000
    Altitude: 883 to 883 meter
  • Shanti Berryman Lichen Plot 045
    W -122.24411011, E -122.24411011, N 44.04822159, S 44.04822159
    Altitude: 938 to 938 meter
  • Shanti Berryman Lichen Plot 046
    W -122.16625214, E -122.16625214, N 44.22586060, S 44.22586060
    Altitude: 701 to 701 meter
  • Shanti Berryman Lichen Plot 047
    W -122.16491699, E -122.16491699, N 44.25827789, S 44.25827789
    Altitude: 865 to 865 meter
  • Shanti Berryman Lichen Plot 048
    W -122.17510986, E -122.17510986, N 44.25655365, S 44.25655365
    Altitude: 835 to 835 meter
  • Shanti Berryman Lichen Plot 049
    W -122.21739197, E -122.21739197, N 44.06477737, S 44.06477737
    Altitude: 609 to 609 meter
  • Shanti Berryman Lichen Plot 050
    W -122.25061035, E -122.25061035, N 44.28877640, S 44.28877640
    Altitude: 1213 to 1213 meter
  • Shanti Berryman Lichen Plot 051
    W -122.24913788, E -122.24913788, N 44.29180527, S 44.29180527
    Altitude: 1200 to 1200 meter
  • Shanti Berryman Lichen Plot 052
    W -122.27633667, E -122.27633667, N 44.29336166, S 44.29336166
    Altitude: 1085 to 1085 meter
  • Shanti Berryman Lichen Plot 053
    W -122.28033447, E -122.28033447, N 44.30316544, S 44.30316544
    Altitude: 1255 to 1255 meter
  • Shanti Berryman Lichen Plot 054
    W -122.27861023, E -122.27861023, N 44.29477692, S 44.29477692
    Altitude: 1078 to 1078 meter
  • Shanti Berryman Lichen Plot 055
    W -122.27716827, E -122.27716827, N 44.30580521, S 44.30580521
    Altitude: 1261 to 1261 meter
  • Shanti Berryman Lichen Plot 056
    W -122.26911163, E -122.26911163, N 44.31039047, S 44.31039047
    Altitude: 1237 to 1237 meter
  • Shanti Berryman Lichen Plot 057
    W -122.17036438, E -122.17036438, N 44.29177856, S 44.29177856
    Altitude: 835 to 835 meter
  • Shanti Berryman Lichen Plot 058
    W -122.16278076, E -122.16278076, N 44.29069519, S 44.29069519
    Altitude: 938 to 938 meter
  • Shanti Berryman Lichen Plot 059
    W -122.28861237, E -122.28861237, N 44.21333313, S 44.21333313
    Altitude: 771 to 771 meter
  • Shanti Berryman Lichen Plot 060
    W -122.28816986, E -122.28816986, N 44.20644379, S 44.20644379
    Altitude: 914 to 914 meter
  • Shanti Berryman Lichen Plot 061
    W -122.29550171, E -122.29550171, N 44.26411057, S 44.26411057
    Altitude: 1286 to 1286 meter
  • Shanti Berryman Lichen Plot 062
    W -122.30552673, E -122.30552673, N 44.26266479, S 44.26266479
    Altitude: 1097 to 1097 meter
  • Shanti Berryman Lichen Plot 063
    W -122.17641449, E -122.17641449, N 44.23011017, S 44.23011017
    Altitude: 731 to 731 meter
  • Shanti Berryman Lichen Plot 064
    W -122.16696930, E -122.16696930, N 44.22124863, S 44.22124863
    Altitude: 737 to 737 meter
  • Shanti Berryman Lichen Plot 065
    W -122.15399933, E -122.15399933, N 44.27061081, S 44.27061081
    Altitude: 1194 to 1194 meter
  • Shanti Berryman Lichen Plot 066
    W -122.16505432, E -122.16505432, N 44.30780411, S 44.30780411
    Altitude: 914 to 914 meter
  • Shanti Berryman Lichen Plot 067
    W -122.15758514, E -122.15758514, N 44.30791855, S 44.30791855
    Altitude: 999 to 999 meter
  • Shanti Berryman Lichen Plot 068
    W -122.19486237, E -122.19486237, N 44.27155685, S 44.27155685
    Altitude: 609 to 609 meter
  • Shanti Berryman Lichen Plot 069
    W -122.16649628, E -122.16649628, N 44.30452728, S 44.30452728
    Altitude: 853 to 853 meter
  • Shanti Berryman Lichen Plot 070
    W -122.19210815, E -122.19210815, N 44.24963760, S 44.24963760
    Altitude: 755 to 755 meter
  • Shanti Berryman Lichen Plot 071
    W -122.20786285, E -122.20786285, N 44.27905655, S 44.27905655
    Altitude: 701 to 701 meter
  • Shanti Berryman Lichen Plot 072
    W -122.24375153, E -122.24375153, N 44.39608383, S 44.39608383
    Altitude: 615 to 615 meter
  • Shanti Berryman Lichen Plot 073
    W -122.16725159, E -122.16725159, N 44.38902664, S 44.38902664
    Altitude: 981 to 981 meter
  • Shanti Berryman Lichen Plot 074
    W -122.19525146, E -122.19525146, N 44.39411163, S 44.39411163
    Altitude: 1249 to 1249 meter
  • Shanti Berryman Lichen Plot 075
    W -122.13358307, E -122.13358307, N 44.34147263, S 44.34147263
    Altitude: 1194 to 1194 meter
  • Shanti Berryman Lichen Plot 076
    W -122.13919067, E -122.13919067, N 44.35147095, S 44.35147095
    Altitude: 1237 to 1237 meter
  • Shanti Berryman Lichen Plot 077
    W -122.13053131, E -122.13053131, N 44.32272339, S 44.32272339
    Altitude: 1091 to 1091 meter
  • Shanti Berryman Lichen Plot 078
    W -122.13280487, E -122.13280487, N 44.33738708, S 44.33738708
    Altitude: 1158 to 1158 meter
  • Shanti Berryman Lichen Plot 079
    W -122.12816620, E -122.12816620, N 44.34463882, S 44.34463882
    Altitude: 1252 to 1252 meter
  • Shanti Berryman Lichen Plot 080
    W -122.14657593, E -122.14657593, N 44.34416962, S 44.34416962
    Altitude: 1322 to 1322 meter
  • Shanti Berryman Lichen Plot 081
    W -122.14638519, E -122.14638519, N 44.34219360, S 44.34219360
    Altitude: 1319 to 1319 meter
  • Shanti Berryman Lichen Plot 082
    W -122.14897156, E -122.14897156, N 44.34222412, S 44.34222412
    Altitude: 1335 to 1335 meter
  • Shanti Berryman Lichen Plot 083
    W -122.12966919, E -122.12966919, N 44.35725021, S 44.35725021
    Altitude: 1170 to 1170 meter
  • Shanti Berryman Lichen Plot 084
    W -122.13214111, E -122.13214111, N 44.35614014, S 44.35614014
    Altitude: 1191 to 1191 meter
  • Shanti Berryman Lichen Plot 085
    W -122.14819336, E -122.14819336, N 44.33919525, S 44.33919525
    Altitude: 1341 to 1341 meter
  • Shanti Berryman Lichen Plot 086
    W -122.14294434, E -122.14294434, N 44.33447266, S 44.33447266
    Altitude: 1261 to 1261 meter
  • Shanti Berryman Lichen Plot 087
    W -122.14983368, E -122.14983368, N 44.27180481, S 44.27180481
    Altitude: 1280 to 1280 meter
  • Shanti Berryman Lichen Plot 088
    W -122.31583405, E -122.31583405, N 44.36469269, S 44.36469269
    Altitude: 1289 to 1289 meter
  • Shanti Berryman Lichen Plot 089
    W -122.33797455, E -122.33797455, N 44.37305450, S 44.37305450
    Altitude: 1139 to 1139 meter
  • Shanti Berryman Lichen Plot 090
    W -122.14111328, E -122.14111328, N 44.33680725, S 44.33680725
    Altitude: 1255 to 1255 meter
  • Shanti Berryman Lichen Plot 091
    W -122.26058197, E -122.26058197, N 44.30952835, S 44.30952835
    Altitude: 1298 to 1298 meter
  • Shanti Berryman Lichen Plot 092
    W -122.26789093, E -122.26789093, N 44.31158447, S 44.31158447
    Altitude: 1286 to 1286 meter
  • Shanti Berryman Lichen Plot 093
    W -122.22213745, E -122.22213745, N 44.27027893, S 44.27027893
    Altitude: 798 to 798 meter
  • Shanti Berryman Lichen Plot 094
    W -122.21321869, E -122.21321869, N 44.32252884, S 44.32252884
    Altitude: 1212 to 1212 meter
  • Shanti Berryman Lichen Plot 095
    W -122.18711090, E -122.18711090, N 44.25266647, S 44.25266647
    Altitude: 734 to 734 meter
  • Shanti Berryman Lichen Plot 096
    W -122.13030243, E -122.13030243, N 44.32397079, S 44.32397079
    Altitude: 1078 to 1078 meter
  • Shanti Berryman Lichen Plot 097
    W -122.31105042, E -122.31105042, N 44.21004868, S 44.21004868
    Altitude: 957 to 957 meter
  • Shanti Berryman Lichen Plot 098
    W -122.30457306, E -122.30457306, N 44.20541000, S 44.20541000
    Altitude: 950 to 950 meter
  • Shanti Berryman Lichen Plot 099
    W -122.31181335, E -122.31181335, N 44.20440292, S 44.20440292
    Altitude: 970 to 970 meter
  • Shanti Berryman Lichen Plot 100
    W -122.18194580, E -122.18194580, N 44.31568146, S 44.31568146
    Altitude: 914 to 914 meter
  • Shanti Berryman Lichen Plot 101
    W -122.18441772, E -122.18441772, N 44.28411102, S 44.28411102
    Altitude: 853 to 853 meter
  • Shanti Berryman Lichen Plot 102
    W -122.17942810, E -122.17942810, N 44.28294754, S 44.28294754
    Altitude: 796 to 796 meter
  • Shanti Berryman Lichen Plot 103
    W -122.20143127, E -122.20143127, N 44.27234268, S 44.27234268
    Altitude: 731 to 731 meter
  • Shanti Berryman Lichen Plot 104
    W -122.19536591, E -122.19536591, N 44.25873947, S 44.25873947
    Altitude: 837 to 837 meter
  • Shanti Berryman Lichen Plot 105
    W -122.19882202, E -122.19882202, N 44.25537872, S 44.25537872
    Altitude: 813 to 813 meter
  • Shanti Berryman Lichen Plot 106
    W -122.18605804, E -122.18605804, N 44.25844574, S 44.25844574
    Altitude: 811 to 811 meter
  • Shanti Berryman Lichen Plot 107
    W -122.21198273, E -122.21198273, N 44.25131226, S 44.25131226
    Altitude: 675 to 675 meter
  • Shanti Berryman Lichen Plot 108
    W -122.18433380, E -122.18433380, N 44.27465820, S 44.27465820
    Altitude: 670 to 670 meter
  • Shanti Berryman Lichen Plot 109
    W -122.18566132, E -122.18566132, N 44.27143478, S 44.27143478
    Altitude: 790 to 790 meter
  • Shanti Berryman Lichen Plot 110
    W -122.18328857, E -122.18328857, N 44.27288437, S 44.27288437
    Altitude: 796 to 796 meter
  • Shanti Berryman Lichen Plot 111
    W -122.19947052, E -122.19947052, N 44.23069382, S 44.23069382
    Altitude: 610 to 610 meter
  • Shanti Berryman Lichen Plot 112
    W -122.16085815, E -122.16085815, N 44.22463989, S 44.22463989
    Altitude: 823 to 823 meter
  • Shanti Berryman Lichen Plot 113
    W -122.19180298, E -122.19180298, N 44.26811218, S 44.26811218
    Altitude: 732 to 732 meter
  • Shanti Berryman Lichen Plot 114
    W -122.00000000, E -122.00000000, N 44.00000000, S 44.00000000
    Altitude: 604 to 604 meter
  • Shanti Berryman Lichen Plot 115
    W -122.27925110, E -122.27925110, N 44.19202805, S 44.19202805
    Altitude: 683 to 683 meter
  • Shanti Berryman Lichen Plot 116
    W -122.27927399, E -122.27927399, N 44.23213959, S 44.23213959
    Altitude: 762 to 762 meter
  • Shanti Berryman Lichen Plot 117
    W -122.34493256, E -122.34493256, N 44.37403107, S 44.37403107
    Altitude: 1127 to 1127 meter
Software

No software entries listed in this EML file.

Keywords
  • LTER controlled vocabulary: stand structure (theme), populations (theme), history (theme), fires (theme), biomass (theme), community composition (theme), plant species composition (theme), topography (theme), resource management (theme), forests (theme), old growth forests (theme), lichens (theme)
  • Andrews Experimental Forest site thesaurus: Adaptive Management Areas (AMA) (theme), forest management (theme), mature forests (theme), young forests (theme), epiphytes (theme), fire history (theme)
  • LTER core research areas: populations (theme)
Taxonomic Hierarchy
  • All Organisms: All Organisms
  • Family: Non-taxonomic objects (vegetative, organic, or inorganic)
  • Species: Snag
  • Highest common category (ca. kingdom): Plantae
  • Division or Phylum: Coniferophyta
  • Class: Pinopsida
  • Order: Taxales
  • Family: Taxaceae
  • Genus: Taxus
  • Species: Taxus brevifolia
  • Order: Pinales
  • Family: Pinaceae
  • Genus: Tsuga
  • Species: Tsuga heterophylla
  • Species: Tsuga mertensiana
  • Genus: Pinus
  • Species: Pinus monticola
  • Genus: Abies
  • Species: Abies procera
  • Species: Abies amabilis
  • Species: Abies grandis
  • Genus: Pseudotsuga
  • Species: Pseudotsuga menziesii
  • Family: Cupressaceae
  • Genus: Thuja
  • Species: Thuja plicata
  • Division or Phylum: Magnoliophyta
  • Class: Magnoliopsida
  • Subclass: Hamamelididae
  • Order: Fagales
  • Family: Fagaceae
  • Genus: Chrysolepis
  • Species: Castanopsis chrysophylla
  • Family: Betulaceae
  • Genus: Alnus
  • Species: Alnus rubra
  • Species: Alnus sinuata
  • Subclass: Rosidae
  • Order: Cornales
  • Family: Cornaceae
  • Genus: Cornus
  • Species: Cornus nuttallii
  • Order: Sapindales
  • Family: Aceraceae
  • Genus: Acer
  • Species: Acer macrophyllum
  • Subclass: Dilleniidae
  • Order: Salicales
  • Family: Salicaceae
  • Genus: Populus
  • Species: Populus deltoides
  • Species: Populus trichocarpa
  • Species: Populus tremuloides
  • Class: Liliopsida
  • Subclass: Asteridae
  • Order: Dipsacales
  • Family: Caprifoliaceae
  • Genus: Linnaea
  • Species: Linnaea borealis
  • Subclass: Commelinidae
  • Order: Cyperales
  • Family: Cyperaceae
  • Genus: Carex
  • Species: Carex deweyana
  • Highest common category (ca. kingdom): Lichen
  • Genus: Leptogium
  • Species: Leptogium cyanescens
  • Species: Leptogium polycarpum
  • Genus: Xanthoria
  • Species: Xanthoria polycarpa
  • Genus: Usnea
  • Species: Usnea substerilis
  • Species: Usnea glabrescens
  • Species: Usnea filipendula
  • Species: Usnea cornuta
  • Species: Usnea wirthii
  • Species: Usnea chaetophora
  • Species: Usnea diplotypus
  • Species: Usnea glabrata
  • Species: Usnea scabrata
  • Genus: Sphaerophorus
  • Species: Sphaerophorus globosus
  • Genus: Pseudocyphellaria
  • Species: Pseudocyphellaria rainierensis
  • Species: Pseudocyphellaria anthraspis
  • Species: Pseudocyphellaria anomala
  • Species: Pseudocyphellaria crocata
  • Genus: Platismatia
  • Species: Platismatia norvegica
  • Species: Platismatia glauca
  • Species: Platismatia herrei
  • Species: Platismatia stenophylla
  • Genus: Peltigera
  • Species: Peltigera collina
  • Species: Peltigera britannica
  • Genus: Parmeliopsis
  • Species: Parmeliopsis ambigua
  • Species: Parmeliopsis hyperopta
  • Genus: Nephroma
  • Species: Nephroma resupinatum
  • Species: Nephroma occultum
  • Species: Nephroma helveticum
  • Species: Nephroma bellum
  • Species: Nephroma laevigatum
  • Species: Nephroma parile
  • Genus: Melanelia
  • Species: Melanelia fuliginosa
  • Species: Melanelia multispora
  • Species: Melanelia elegantula
  • Species: Melanelia exasperatula
  • Species: Melanelia subaurifera
  • Genus: Hypotrachyna
  • Species: Hypotrachyna sinuosa
  • Genus: Evernia
  • Species: Evernia prunastri
  • Genus: Cladonia
  • Species: Cladonia carneola
  • Species: Cladonia squamosa
  • Species: Cladonia squamosa var. subsquamosa
  • Species: Cladonia fimbriata
  • Species: Cladonia coniocraea
  • Species: Cladonia ochrochlora
  • Species: Cladonia transcendens
  • Species: Cladonia albonigra
  • Species: Cladonia norvegica
  • Species: Cladonia umbricola
  • Genus: Cavernularia
  • Species: Cavernularia hultenii
  • Genus: Alectoria
  • Species: Alectoria vancouverensis
  • Species: Alectoria imshaugii
  • Species: Alectoria sarmentosa
  • Genus: Bryoria
  • Species: Bryoria mystery olive sp.
  • Species: Bryoria trichodes
  • Species: Bryoria glabra
  • Species: Bryoria pseudofuscescens
  • Species: Bryoria friabilis
  • Species: Bryoria capillaris
  • Species: Bryoria fremontii
  • Species: Bryoria fuscescens
  • Species: Bryoria tortuosa
  • Genus: Candelaria
  • Species: Candelaria concolor
  • Genus: Cetraria
  • Species: Cetraria subalpina
  • Species: Cetraria pallidula
  • Species: Cetraria chlorophylla
  • Species: Cetraria canadensis
  • Species: Cetraria orbata
  • Species: Cetraria platyphylla
  • Species: Cetraria merrillii
  • Genus: Hypogymnia
  • Species: Hypogymnia rugosa
  • Species: Hypogymnia oceanica
  • Species: Hypogymnia metaphysodes
  • Species: Hypogymnia imshaugii
  • Species: Hypogymnia apinnata
  • Species: Hypogymnia enteromorpha
  • Species: Hypogymnia inactiva
  • Species: Hypogymnia occidentalis
  • Species: Hypogymnia physodes
  • Species: Hypogymnia tubulosa
  • Genus: Letharia
  • Species: Letharia vulpina
  • Species: Letharia columbiana
  • Genus: Lobaria
  • Species: Lobaria pulmonaria
  • Species: Lobaria oregana
  • Species: Lobaria scrobiculata
  • Genus: Physcia
  • Species: Physcia aipolia
  • Species: Physcia adscendens
  • Species: Physcia tenella
  • Genus: Ramalina
  • Species: Ramalina dilacerata
  • Species: Ramalina farinacea
  • Genus: Sticta
  • Species: Sticta limbata
  • Species: Sticta fuliginosa
  • Species: Sticta weigelii
  • Genus: Nodobryoria
  • Species: Nodobryoria oregana
  • Species: Nodobryoria abbreviata
  • Genus: Esslingeriana
  • Species: Esslingeriana idahoensis
  • Genus: Vulpicida
  • Species: Vulpicida canadensis
  • Highest common category (ca. kingdom): Fungi
  • Division or Phylum: Ascomycota
  • Class: Lecanoromycetes
  • Order: Lecanorales
  • Family: Pannariaceae
  • Genus: Pannaria
  • Species: Pannaria leucostictoides
  • Species: Pannaria saubinetii
  • Family: Parmeliaceae
  • Genus: Parmelia
  • Species: Parmelia saxatilis
  • Species: Parmelia hygrophila
  • Species: Parmelia pseudosulcata
  • Species: Parmelia sulcata
Data Entities
# Entity Metadata Data
1 SA02101
SA02101
Epiphytic Macrolichen Communities:
METADATA DATA
2 SA02102
SA02102
Epiphytic Macrolichen Biomass:
METADATA DATA
3 SA02103
SA02103
Environmental Data:
METADATA DATA
4 SA02104
SA02104
Derived Environmental Data:
METADATA DATA
Metadata
SA02101 - SA02101

Object name: SA02101.csv

Records: N/A

Attributes: 7

Temporal coverage: 1997-09-23 to 1999-09-15

File size: 180931 byte

Checksum (MD5): f4514f8e8370a15e18ac1805def0d4d6

Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column

Constraints (2)
  • primaryKey: PRIMARY
    SA02101.CODE, SA02101.PLOT, SA02101.SPECIES
  • notNullConstraint: NOTNULL
    SA02101.ABUNDANCE, SA02101.CODE, SA02101.DATE, SA02101.DBCODE, SA02101.ENTITY, SA02101.PLOT, SA02101.SPECIES
Attributes (7)
DBCODE - char(5) (nominal)

ID: SA02101.DBCODE

FSDB Database Code

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • SA021
    FSDB database code SA021
ENTITY - numeric(1,0) (ratio)

ID: SA02101.ENTITY

Entity number

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=1.0000 (exclusive=false), max=1.0000 (exclusive=false)

DATE - datetime (dateTime)

ID: SA02101.DATE

Date of sampling

Type system: Microsoft SQL Server 2008

Date format: YYYY-MM-DD

PLOT - char(5) (ordinal)

ID: SA02101.PLOT

plot (stand) name; all beginning with SB followed by a number

Type system: Microsoft SQL Server 2008

Code definitions (117)
  • SB01
    Shanti Berryman Lichen Plot 001
  • SB02
    Shanti Berryman Lichen Plot 002
  • SB03
    Shanti Berryman Lichen Plot 003
  • SB04
    Shanti Berryman Lichen Plot 004
  • SB05
    Shanti Berryman Lichen Plot 005
  • SB06
    Shanti Berryman Lichen Plot 006
  • SB07
    Shanti Berryman Lichen Plot 007
  • SB08
    Shanti Berryman Lichen Plot 008
  • SB09
    Shanti Berryman Lichen Plot 009
  • SB10
    Shanti Berryman Lichen Plot 010
  • SB11
    Shanti Berryman Lichen Plot 011
  • SB12
    Shanti Berryman Lichen Plot 012
  • SB13
    Shanti Berryman Lichen Plot 013
  • SB14
    Shanti Berryman Lichen Plot 014
  • SB15
    Shanti Berryman Lichen Plot 015
  • SB16
    Shanti Berryman Lichen Plot 016
  • SB17
    Shanti Berryman Lichen Plot 017
  • SB18
    Shanti Berryman Lichen Plot 018
  • SB19
    Shanti Berryman Lichen Plot 019
  • SB20
    Shanti Berryman Lichen Plot 020
  • SB21
    Shanti Berryman Lichen Plot 021
  • SB22
    Shanti Berryman Lichen Plot 022
  • SB23
    Shanti Berryman Lichen Plot 023
  • SB24
    Shanti Berryman Lichen Plot 024
  • SB25
    Shanti Berryman Lichen Plot 025
  • SB26
    Shanti Berryman Lichen Plot 026
  • SB27
    Shanti Berryman Lichen Plot 027
  • SB28
    Shanti Berryman Lichen Plot 028
  • SB29
    Shanti Berryman Lichen Plot 029
  • SB30
    Shanti Berryman Lichen Plot 030
  • SB31
    Shanti Berryman Lichen Plot 031
  • SB32
    Shanti Berryman Lichen Plot 032
  • SB33
    Shanti Berryman Lichen Plot 033
  • SB34
    Shanti Berryman Lichen Plot 034
  • SB35
    Shanti Berryman Lichen Plot 035
  • SB36
    Shanti Berryman Lichen Plot 036
  • SB37
    Shanti Berryman Lichen Plot 037
  • SB38
    Shanti Berryman Lichen Plot 038
  • SB39
    Shanti Berryman Lichen Plot 039
  • SB40
    Shanti Berryman Lichen Plot 040
  • SB41
    Shanti Berryman Lichen Plot 041
  • SB42
    Shanti Berryman Lichen Plot 042
  • SB43
    Shanti Berryman Lichen Plot 043
  • SB44
    Shanti Berryman Lichen Plot 044
  • SB45
    Shanti Berryman Lichen Plot 045
  • SB46
    Shanti Berryman Lichen Plot 046
  • SB47
    Shanti Berryman Lichen Plot 047
  • SB48
    Shanti Berryman Lichen Plot 048
  • SB49
    Shanti Berryman Lichen Plot 049
  • SB50
    Shanti Berryman Lichen Plot 050
  • SB51
    Shanti Berryman Lichen Plot 051
  • SB52
    Shanti Berryman Lichen Plot 052
  • SB53
    Shanti Berryman Lichen Plot 053
  • SB54
    Shanti Berryman Lichen Plot 054
  • SB55
    Shanti Berryman Lichen Plot 055
  • SB56
    Shanti Berryman Lichen Plot 056
  • SB57
    Shanti Berryman Lichen Plot 057
  • SB58
    Shanti Berryman Lichen Plot 058
  • SB59
    Shanti Berryman Lichen Plot 059
  • SB60
    Shanti Berryman Lichen Plot 060
  • SB61
    Shanti Berryman Lichen Plot 061
  • SB62
    Shanti Berryman Lichen Plot 062
  • SB63
    Shanti Berryman Lichen Plot 063
  • SB64
    Shanti Berryman Lichen Plot 064
  • SB65
    Shanti Berryman Lichen Plot 065
  • SB66
    Shanti Berryman Lichen Plot 066
  • SB67
    Shanti Berryman Lichen Plot 067
  • SB68
    Shanti Berryman Lichen Plot 068
  • SB69
    Shanti Berryman Lichen Plot 069
  • SB70
    Shanti Berryman Lichen Plot 070
  • SB71
    Shanti Berryman Lichen Plot 071
  • SB72
    Shanti Berryman Lichen Plot 072
  • SB73
    Shanti Berryman Lichen Plot 073
  • SB74
    Shanti Berryman Lichen Plot 074
  • SB75
    Shanti Berryman Lichen Plot 075
  • SB76
    Shanti Berryman Lichen Plot 076
  • SB77
    Shanti Berryman Lichen Plot 077
  • SB78
    Shanti Berryman Lichen Plot 078
  • SB79
    Shanti Berryman Lichen Plot 079
  • SB80
    Shanti Berryman Lichen Plot 080
  • SB81
    Shanti Berryman Lichen Plot 081
  • SB82
    Shanti Berryman Lichen Plot 082
  • SB83
    Shanti Berryman Lichen Plot 083
  • SB84
    Shanti Berryman Lichen Plot 084
  • SB85
    Shanti Berryman Lichen Plot 085
  • SB86
    Shanti Berryman Lichen Plot 086
  • SB87
    Shanti Berryman Lichen Plot 087
  • SB88
    Shanti Berryman Lichen Plot 088
  • SB89
    Shanti Berryman Lichen Plot 089
  • SB90
    Shanti Berryman Lichen Plot 090
  • SB91
    Shanti Berryman Lichen Plot 091
  • SB92
    Shanti Berryman Lichen Plot 092
  • SB93
    Shanti Berryman Lichen Plot 093
  • SB94
    Shanti Berryman Lichen Plot 094
  • SB95
    Shanti Berryman Lichen Plot 095
  • SB96
    Shanti Berryman Lichen Plot 096
  • SB97
    Shanti Berryman Lichen Plot 097
  • SB98
    Shanti Berryman Lichen Plot 098
  • SB99
    Shanti Berryman Lichen Plot 099
  • SB100
    Shanti Berryman Lichen Plot 100
  • SB101
    Shanti Berryman Lichen Plot 101
  • SB102
    Shanti Berryman Lichen Plot 102
  • SB103
    Shanti Berryman Lichen Plot 103
  • SB104
    Shanti Berryman Lichen Plot 104
  • SB105
    Shanti Berryman Lichen Plot 105
  • SB106
    Shanti Berryman Lichen Plot 106
  • SB107
    Shanti Berryman Lichen Plot 107
  • SB108
    Shanti Berryman Lichen Plot 108
  • SB109
    Shanti Berryman Lichen Plot 109
  • SB110
    Shanti Berryman Lichen Plot 110
  • SB111
    Shanti Berryman Lichen Plot 111
  • SB112
    Shanti Berryman Lichen Plot 112
  • SB113
    Shanti Berryman Lichen Plot 113
  • SB114
    Shanti Berryman Lichen Plot 114
  • SB115
    Shanti Berryman Lichen Plot 115
  • SB116
    Shanti Berryman Lichen Plot 116
  • SB117
    Shanti Berryman Lichen Plot 117
SPECIES - varchar(35) (ordinal)

ID: SA02101.SPECIES

Lichen scientific name

Type system: Microsoft SQL Server 2008

Code definitions (111)
  • Melanelia elegantula
    Melanelia elegantula
  • Alectoria imshaugii
    Alectoria imshaugii
  • Alectoria sarmentosa
    Alectoria sarmentosa
  • Alectoria vancouverensis
    Alectoria vancouverensis
  • Bryoria
    Bryoria
  • Bryoria capillaris
    Bryoria capillaris
  • Bryoria fremontii
    Bryoria fremontii
  • Bryoria friabilis
    Bryoria friabilis
  • Bryoria fuscescens
    Bryoria fuscescens
  • Bryoria pseudofuscescens
    Bryoria pseudofuscescens
  • Candelaria concolor
    Candelaria concolor
  • Cavernularia hultenii
    Cavernularia hultenii
  • Cetraria canadensis
    Cetraria canadensis
  • Cetraria chlorophylla
    Cetraria chlorophylla
  • Cetraria orbata
    Cetraria orbata
  • Cetraria pallidula
    Cetraria pallidula
  • Cetraria platyphylla
    Cetraria platyphylla
  • Cladonia
    Cladonia
  • Cladonia coniocraea
    Cladonia coniocraea
  • Cladonia fimbriata
    Cladonia fimbriata
  • Cladonia ochrochlora
    Cladonia ochrochlora
  • Cladonia squamosa
    Cladonia squamosa
  • Cladonia transcendens
    Cladonia transcendens
  • Evernia prunastri
    Evernia prunastri
  • Hypogymnia
    Hypogymnia
  • Hypogymnia apinnata
    Hypogymnia apinnata
  • Hypogymnia enteromorpha
    Hypogymnia enteromorpha
  • Hypogymnia imshaugii
    Hypogymnia imshaugii
  • Hypogymnia inactiva
    Hypogymnia inactiva
  • Hypogymnia metaphysodes
    Hypogymnia metaphysodes
  • Hypogymnia occidentalis
    Hypogymnia occidentalis
  • Hypogymnia oceanica
    Hypogymnia oceanica
  • Hypogymnia physodes
    Hypogymnia physodes
  • Hypogymnia rugosa
    Hypogymnia rugosa
  • Hypogymnia tubulosa
    Hypogymnia tubulosa
  • Hypotrachyna sinuosa
    Hypotrachyna sinuosa
  • Letharia columbiana
    Letharia columbiana
  • Letharia vulpina
    Letharia vulpina
  • Lobaria oregana
    Lobaria oregana
  • Lobaria pulmonaria
    Lobaria pulmonaria
  • Lobaria scrobiculata
    Lobaria scrobiculata
  • Melanelia
    Melanelia
  • Melanelia exasperatula
    Melanelia exasperatula
  • Melanelia multispora
    Melanelia multispora
  • Melanelia subaurifera
    Melanelia subaurifera
  • Nephroma
    Nephroma
  • Nephroma bellum
    Nephroma bellum
  • Nephroma helveticum
    Nephroma helveticum
  • Nephroma laevigatum
    Nephroma laevigatum
  • Nephroma occultum
    Nephroma occultum
  • Nephroma parile
    Nephroma parile
  • Nephroma resupinatum
    Nephroma resupinatum
  • Parmelia
    Parmelia
  • Parmelia hygrophila
    Parmelia hygrophila
  • Parmelia pseudosulcata
    Parmelia pseudosulcata
  • Parmelia saxatilis
    Parmelia saxatilis
  • Parmelia sulcata
    Parmelia sulcata
  • Parmeliopsis ambigua
    Parmeliopsis ambigua
  • Parmeliopsis hyperopta
    Parmeliopsis hyperopta
  • Peltigera collina
    Peltigera collina
  • Physcia adscendens
    Physcia adscendens
  • Physcia aipolia
    Physcia aipolia
  • Physcia tenella
    Physcia tenella
  • Platismatia glauca
    Platismatia glauca
  • Platismatia herrei
    Platismatia herrei
  • Platismatia norvegica
    Platismatia norvegica
  • Platismatia stenophylla
    Platismatia stenophylla
  • Pseudocyphellaria
    Pseudocyphellaria
  • Pseudocyphellaria anomala
    Pseudocyphellaria anomala
  • Pseudocyphellaria anthraspis
    Pseudocyphellaria anthraspis
  • Pseudocyphellaria crocata
    Pseudocyphellaria crocata
  • Pseudocyphellaria rainierensis
    Pseudocyphellaria rainierensis
  • Ramalina farinacea
    Ramalina farinacea
  • Sphaerophorus globosus
    Sphaerophorus globosus
  • Sticta fuliginosa
    Sticta fuliginosa
  • Sticta limbata
    Sticta limbata
  • Sticta weigelii
    Sticta weigelii
  • Usnea
    Usnea
  • Usnea wirthii
    Usnea wirthii
  • Xanthoria
    Xanthoria
  • Xanthoria polycarpa
    Xanthoria polycarpa
  • Bryoria glabra
    Bryoria glabra
  • Bryoria tortuosa
    Bryoria tortuosa
  • Bryoria trichodes
    Bryoria trichodes
  • Cetraria merrillii
    Cetraria merrillii
  • Cetraria subalpina
    Cetraria subalpina
  • Cladonia albonigra
    Cladonia albonigra
  • Cladonia carneola
    Cladonia carneola
  • Cladonia norvegica
    Cladonia norvegica
  • Cladonia squamosa var. subsquamosa
    Cladonia squamosa var. subsquamosa
  • Cladonia umbricola
    Cladonia umbricola
  • Leptogium cyanescens
    Leptogium cyanescens
  • Leptogium polycarpum
    Leptogium polycarpum
  • Melanelia fuliginosa
    Melanelia fuliginosa
  • Nodobryoria abbreviata
    Nodobryoria abbreviata
  • Nodobryoria oregana
    Nodobryoria oregana
  • Peltigera britannica
    Peltigera britannica
  • Ramalina dilacerata
    Ramalina dilacerata
  • Usnea chaetophora
    Usnea chaetophora
  • Usnea cornuta
    Usnea cornuta
  • Usnea diplotypus
    Usnea diplotypus
  • Usnea filipendula
    Usnea filipendula
  • Usnea glabrata
    Usnea glabrata
  • Usnea glabrescens
    Usnea glabrescens
  • Usnea scabrata
    Usnea scabrata
  • Usnea substerilis
    Usnea substerilis
  • Esslingeriana idahoensis
    Esslingeriana idahoensis
  • Pannaria leucostictoides
    Pannaria leucostictoides
  • Vulpicida canadensis
    Vulpicida canadensis
  • Bryoria mystery olive sp.
    Bryoria mystery olive sp.
  • Pannaria saubinetii
    Pannaria saubinetii
CODE - char(6) (nominal)

ID: SA02101.CODE

FHM/FIA species codes from U.S. FIA lichen community program

Type system: Microsoft SQL Server 2008

Code definitions (111)
  • MELELE
    Melanelia elegantula
  • ALEIMS
    Alectoria imshaugii
  • ALESAR
    Alectoria sarmentosa
  • ALEVAN
    Alectoria vancouverensis
  • BRY
    Bryoria
  • BRYCAP
    Bryoria capillaris
  • BRYFRE
    Bryoria fremontii
  • BRYFRI
    Bryoria friabilis
  • BRYFUS
    Bryoria fuscescens
  • BRYPSE
    Bryoria pseudofuscescens
  • CNDCON
    Candelaria concolor
  • CAVHUL
    Cavernularia hultenii
  • CETCAN
    Cetraria canadensis
  • CETCHL
    Cetraria chlorophylla
  • CETORB
    Cetraria orbata
  • CETPAL
    Cetraria pallidula
  • CETPLA
    Cetraria platyphylla
  • CLA
    Cladonia
  • CLACON
    Cladonia coniocraea
  • CLAFIM
    Cladonia fimbriata
  • CLAOCH
    Cladonia ochrochlora
  • CLASQU
    Cladonia squamosa
  • CLATRA
    Cladonia transcendens
  • EVEPRU
    Evernia prunastri
  • HYP
    Hypogymnia
  • HYPAPI
    Hypogymnia apinnata
  • HYPENT
    Hypogymnia enteromorpha
  • HYPIMS
    Hypogymnia imshaugii
  • HYPINA
    Hypogymnia inactiva
  • HYPMET
    Hypogymnia metaphysodes
  • HYPOCC
    Hypogymnia occidentalis
  • HYPOCE
    Hypogymnia oceanica
  • HYPPHY
    Hypogymnia physodes
  • HYPRUG
    Hypogymnia rugosa
  • HYPTUB
    Hypogymnia tubulosa
  • HTRSIN
    Hypotrachyna sinuosa
  • LETCOL
    Letharia columbiana
  • LETVUL
    Letharia vulpina
  • LOBORE
    Lobaria oregana
  • LOBPUL
    Lobaria pulmonaria
  • LOBSCR
    Lobaria scrobiculata
  • MEL
    Melanelia
  • MELEXL
    Melanelia exasperatula
  • MELMUL
    Melanelia multispora
  • MELSUB
    Melanelia subaurifera
  • NEP
    Nephroma
  • NEPBEL
    Nephroma bellum
  • NEPHEL
    Nephroma helveticum
  • NEPLAE
    Nephroma laevigatum
  • NEPOCC
    Nephroma occultum
  • NEPPAR
    Nephroma parile
  • NEPRES
    Nephroma resupinatum
  • PAR
    Parmelia
  • PARHYG
    Parmelia hygrophila
  • PARPSE
    Parmelia pseudosulcata
  • PARSAX
    Parmelia saxatilis
  • PARSUL
    Parmelia sulcata
  • POPAMB
    Parmeliopsis ambigua
  • POPHYP
    Parmeliopsis hyperopta
  • PELCOL
    Peltigera collina
  • PHYADS
    Physcia adscendens
  • PHYAIP
    Physcia aipolia
  • PHYTEN
    Physcia tenella
  • PLAGLA
    Platismatia glauca
  • PLAHER
    Platismatia herrei
  • PLANOR
    Platismatia norvegica
  • PLASTE
    Platismatia stenophylla
  • PCY
    Pseudocyphellaria
  • PCYANO
    Pseudocyphellaria anomala
  • PCYANT
    Pseudocyphellaria anthraspis
  • PCYCRO
    Pseudocyphellaria crocata
  • PCYRAI
    Pseudocyphellaria rainierensis
  • RAMFAR
    Ramalina farinacea
  • SPHGLO
    Sphaerophorus globosus
  • STIFUL
    Sticta fuliginosa
  • STILIM
    Sticta limbata
  • STIWEI
    Sticta weigelii
  • USN
    Usnea
  • USNWIR
    Usnea wirthii
  • XAN
    Xanthoria
  • XANPOL
    Xanthoria polycarpa
  • BRYGLA
    Bryoria glabra
  • BRYTOR
    Bryoria tortuosa
  • BRYTRI
    Bryoria trichodes
  • CETMER
    Cetraria merrillii
  • CETSUB
    Cetraria subalpina
  • CLAALB
    Cladonia albonigra
  • CLACAR
    Cladonia carneola
  • CLANOR
    Cladonia norvegica
  • CLASSQ
    Cladonia squamosa var. subsquamosa
  • CLAUMB
    Cladonia umbricola
  • LEPCYA
    Leptogium cyanescens
  • LEPPOL
    Leptogium polycarpum
  • MELFUL
    Melanelia fuliginosa
  • NODABB
    Nodobryoria abbreviata
  • NODORE
    Nodobryoria oregana
  • PELBRI
    Peltigera britannica
  • RAMDIL
    Ramalina dilacerata
  • USNCHA
    Usnea chaetophora
  • USNCOR
    Usnea cornuta
  • USNDIP
    Usnea diplotypus
  • USNFIL
    Usnea filipendula
  • USNGLA
    Usnea glabrata
  • USNGLS
    Usnea glabrescens
  • USNSCA
    Usnea scabrata
  • USNSST
    Usnea substerilis
  • ESSIDA
    Esslingeriana idahoensis
  • PANLED
    Pannaria leucostictoides
  • VULCAN
    Vulpicida canadensis
  • BRYOLI
    Bryoria mystery olive sp.
  • PANSAU
    Pannaria saubinetii
ABUNDANCE - char(1) (nominal)

ID: SA02101.ABUNDANCE

abundance code

Type system: Microsoft SQL Server 2008

Code definitions (5)
  • 1
    rare (<3 individuals per plot)
  • 2
    uncommon (4-10 individuals per plot)
  • 3
    common (>10, but <40 individuals per plot)
  • 4
    very common (>40 individuals per plot, but less than half of the available substrate was covered by the species)
  • 5
    abundant (more than half of the available substrate had the species present)
SA02102 - SA02102

Object name: SA02102.csv

Records: N/A

Attributes: 9

Temporal coverage: 1997-09-23 to 1999-09-15

File size: 5742 byte

Checksum (MD5): a03a68cd281ebc4fa0d5c05e573ac102

Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column

Constraints (2)
  • primaryKey: PRIMARY
    SA02102.PLOT
  • notNullConstraint: NOTNULL
    SA02102.CYANOAV, SA02102.CYANOSD, SA02102.DBCODE, SA02102.ENTITY, SA02102.FORAGEAV, SA02102.FORAGESD, SA02102.MATRISAV, SA02102.MATRIXSD, SA02102.PLOT
Attributes (9)
DBCODE - char(5) (nominal)

ID: SA02102.DBCODE

FSDB Database Code

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • SA021
    FSDB database code SA021
ENTITY - numeric(1,0) (ratio)

ID: SA02102.ENTITY

Entity number

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=2.0000 (exclusive=false), max=2.0000 (exclusive=false)

PLOT - char(5) (ordinal)

ID: SA02102.PLOT

plot (stand) name; all beginning with SB followed by a number

Type system: Microsoft SQL Server 2008

Code definitions (117)
  • SB01
    Shanti Berryman Lichen Plot 001
  • SB02
    Shanti Berryman Lichen Plot 002
  • SB03
    Shanti Berryman Lichen Plot 003
  • SB04
    Shanti Berryman Lichen Plot 004
  • SB05
    Shanti Berryman Lichen Plot 005
  • SB06
    Shanti Berryman Lichen Plot 006
  • SB07
    Shanti Berryman Lichen Plot 007
  • SB08
    Shanti Berryman Lichen Plot 008
  • SB09
    Shanti Berryman Lichen Plot 009
  • SB10
    Shanti Berryman Lichen Plot 010
  • SB11
    Shanti Berryman Lichen Plot 011
  • SB12
    Shanti Berryman Lichen Plot 012
  • SB13
    Shanti Berryman Lichen Plot 013
  • SB14
    Shanti Berryman Lichen Plot 014
  • SB15
    Shanti Berryman Lichen Plot 015
  • SB16
    Shanti Berryman Lichen Plot 016
  • SB17
    Shanti Berryman Lichen Plot 017
  • SB18
    Shanti Berryman Lichen Plot 018
  • SB19
    Shanti Berryman Lichen Plot 019
  • SB20
    Shanti Berryman Lichen Plot 020
  • SB21
    Shanti Berryman Lichen Plot 021
  • SB22
    Shanti Berryman Lichen Plot 022
  • SB23
    Shanti Berryman Lichen Plot 023
  • SB24
    Shanti Berryman Lichen Plot 024
  • SB25
    Shanti Berryman Lichen Plot 025
  • SB26
    Shanti Berryman Lichen Plot 026
  • SB27
    Shanti Berryman Lichen Plot 027
  • SB28
    Shanti Berryman Lichen Plot 028
  • SB29
    Shanti Berryman Lichen Plot 029
  • SB30
    Shanti Berryman Lichen Plot 030
  • SB31
    Shanti Berryman Lichen Plot 031
  • SB32
    Shanti Berryman Lichen Plot 032
  • SB33
    Shanti Berryman Lichen Plot 033
  • SB34
    Shanti Berryman Lichen Plot 034
  • SB35
    Shanti Berryman Lichen Plot 035
  • SB36
    Shanti Berryman Lichen Plot 036
  • SB37
    Shanti Berryman Lichen Plot 037
  • SB38
    Shanti Berryman Lichen Plot 038
  • SB39
    Shanti Berryman Lichen Plot 039
  • SB40
    Shanti Berryman Lichen Plot 040
  • SB41
    Shanti Berryman Lichen Plot 041
  • SB42
    Shanti Berryman Lichen Plot 042
  • SB43
    Shanti Berryman Lichen Plot 043
  • SB44
    Shanti Berryman Lichen Plot 044
  • SB45
    Shanti Berryman Lichen Plot 045
  • SB46
    Shanti Berryman Lichen Plot 046
  • SB47
    Shanti Berryman Lichen Plot 047
  • SB48
    Shanti Berryman Lichen Plot 048
  • SB49
    Shanti Berryman Lichen Plot 049
  • SB50
    Shanti Berryman Lichen Plot 050
  • SB51
    Shanti Berryman Lichen Plot 051
  • SB52
    Shanti Berryman Lichen Plot 052
  • SB53
    Shanti Berryman Lichen Plot 053
  • SB54
    Shanti Berryman Lichen Plot 054
  • SB55
    Shanti Berryman Lichen Plot 055
  • SB56
    Shanti Berryman Lichen Plot 056
  • SB57
    Shanti Berryman Lichen Plot 057
  • SB58
    Shanti Berryman Lichen Plot 058
  • SB59
    Shanti Berryman Lichen Plot 059
  • SB60
    Shanti Berryman Lichen Plot 060
  • SB61
    Shanti Berryman Lichen Plot 061
  • SB62
    Shanti Berryman Lichen Plot 062
  • SB63
    Shanti Berryman Lichen Plot 063
  • SB64
    Shanti Berryman Lichen Plot 064
  • SB65
    Shanti Berryman Lichen Plot 065
  • SB66
    Shanti Berryman Lichen Plot 066
  • SB67
    Shanti Berryman Lichen Plot 067
  • SB68
    Shanti Berryman Lichen Plot 068
  • SB69
    Shanti Berryman Lichen Plot 069
  • SB70
    Shanti Berryman Lichen Plot 070
  • SB71
    Shanti Berryman Lichen Plot 071
  • SB72
    Shanti Berryman Lichen Plot 072
  • SB73
    Shanti Berryman Lichen Plot 073
  • SB74
    Shanti Berryman Lichen Plot 074
  • SB75
    Shanti Berryman Lichen Plot 075
  • SB76
    Shanti Berryman Lichen Plot 076
  • SB77
    Shanti Berryman Lichen Plot 077
  • SB78
    Shanti Berryman Lichen Plot 078
  • SB79
    Shanti Berryman Lichen Plot 079
  • SB80
    Shanti Berryman Lichen Plot 080
  • SB81
    Shanti Berryman Lichen Plot 081
  • SB82
    Shanti Berryman Lichen Plot 082
  • SB83
    Shanti Berryman Lichen Plot 083
  • SB84
    Shanti Berryman Lichen Plot 084
  • SB85
    Shanti Berryman Lichen Plot 085
  • SB86
    Shanti Berryman Lichen Plot 086
  • SB87
    Shanti Berryman Lichen Plot 087
  • SB88
    Shanti Berryman Lichen Plot 088
  • SB89
    Shanti Berryman Lichen Plot 089
  • SB90
    Shanti Berryman Lichen Plot 090
  • SB91
    Shanti Berryman Lichen Plot 091
  • SB92
    Shanti Berryman Lichen Plot 092
  • SB93
    Shanti Berryman Lichen Plot 093
  • SB94
    Shanti Berryman Lichen Plot 094
  • SB95
    Shanti Berryman Lichen Plot 095
  • SB96
    Shanti Berryman Lichen Plot 096
  • SB97
    Shanti Berryman Lichen Plot 097
  • SB98
    Shanti Berryman Lichen Plot 098
  • SB99
    Shanti Berryman Lichen Plot 099
  • SB100
    Shanti Berryman Lichen Plot 100
  • SB101
    Shanti Berryman Lichen Plot 101
  • SB102
    Shanti Berryman Lichen Plot 102
  • SB103
    Shanti Berryman Lichen Plot 103
  • SB104
    Shanti Berryman Lichen Plot 104
  • SB105
    Shanti Berryman Lichen Plot 105
  • SB106
    Shanti Berryman Lichen Plot 106
  • SB107
    Shanti Berryman Lichen Plot 107
  • SB108
    Shanti Berryman Lichen Plot 108
  • SB109
    Shanti Berryman Lichen Plot 109
  • SB110
    Shanti Berryman Lichen Plot 110
  • SB111
    Shanti Berryman Lichen Plot 111
  • SB112
    Shanti Berryman Lichen Plot 112
  • SB113
    Shanti Berryman Lichen Plot 113
  • SB114
    Shanti Berryman Lichen Plot 114
  • SB115
    Shanti Berryman Lichen Plot 115
  • SB116
    Shanti Berryman Lichen Plot 116
  • SB117
    Shanti Berryman Lichen Plot 117
CYANOAV - numeric(7,2) (ratio)

ID: SA02102.CYANOAV

average epiphytic cyanolichen biomass; oven-dried

Type system: Microsoft SQL Server 2008

Unit: kilograms per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=3055.7800 (exclusive=false)

FORAGEAV - numeric(7,2) (ratio)

ID: SA02102.FORAGEAV

average epiphytic forage lichen biomass for a stand; oven-dried

Type system: Microsoft SQL Server 2008

Unit: kilograms per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=26862.0000 (exclusive=false)

MATRISAV - numeric(7,2) (ratio)

ID: SA02102.MATRISAV

average epiphytic matrix lichen biomass; oven-dried

Type system: Microsoft SQL Server 2008

Unit: kilograms per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=2911.0000 (exclusive=false)

CYANOSD - numeric(7,2) (ratio)

ID: SA02102.CYANOSD

standard deviation of the average epiphytic cyanolichen biomass; oven-dried

Type system: Microsoft SQL Server 2008

Unit: kilograms per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=3430.0901 (exclusive=false)

FORAGESD - numeric(7,2) (ratio)

ID: SA02102.FORAGESD

standard deviation of the average epiphytic forage lichen biomass for a stand; oven-dried

Type system: Microsoft SQL Server 2008

Unit: kilograms per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=16962.0000 (exclusive=false)

MATRIXSD - numeric(7,2) (ratio)

ID: SA02102.MATRIXSD

standard deviation of the average epiphytic matrix lichen biomass for a stand; oven-dried

Type system: Microsoft SQL Server 2008

Unit: kilograms per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=2812.0400 (exclusive=false)

SA02103 - SA02103

Object name: SA02103.csv

Records: N/A

Attributes: 16

Temporal coverage: 1997-09-23 to 1999-09-15

File size: 8423 byte

Checksum (MD5): 1970a6eb3750b1310fb570225513a30e

Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column

Constraints (2)
  • primaryKey: PRIMARY
    SA02103.PLOT
  • notNullConstraint: NOTNULL
    SA02103.AGECLASS, SA02103.ASPECT, SA02103.BIOIND, SA02103.DATE, SA02103.DBCODE, SA02103.ELEV, SA02103.ENTITY, SA02103.LAT, SA02103.LONG, SA02103.PLOT, SA02103.PLTSERIE, SA02103.REMCLASS, SA02103.SLOPE, SA02103.TOPOCLA, SA02103.TOPOPOS
Attributes (16)
DBCODE - char(5) (nominal)

ID: SA02103.DBCODE

FSDB Database Code

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • SA021
    FSDB database code SA021
ENTITY - numeric(1,0) (ratio)

ID: SA02103.ENTITY

Entity number

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=3.0000 (exclusive=false), max=3.0000 (exclusive=false)

DATE - datetime (dateTime)

ID: SA02103.DATE

Date of sampling

Type system: Microsoft SQL Server 2008

Date format: YYYY-MM-DD

PLOT - char(5) (ordinal)

ID: SA02103.PLOT

plot (stand) name; all beginning with SB followed by a number

Type system: Microsoft SQL Server 2008

Code definitions (117)
  • SB01
    Shanti Berryman Lichen Plot 001
  • SB02
    Shanti Berryman Lichen Plot 002
  • SB03
    Shanti Berryman Lichen Plot 003
  • SB04
    Shanti Berryman Lichen Plot 004
  • SB05
    Shanti Berryman Lichen Plot 005
  • SB06
    Shanti Berryman Lichen Plot 006
  • SB07
    Shanti Berryman Lichen Plot 007
  • SB08
    Shanti Berryman Lichen Plot 008
  • SB09
    Shanti Berryman Lichen Plot 009
  • SB10
    Shanti Berryman Lichen Plot 010
  • SB11
    Shanti Berryman Lichen Plot 011
  • SB12
    Shanti Berryman Lichen Plot 012
  • SB13
    Shanti Berryman Lichen Plot 013
  • SB14
    Shanti Berryman Lichen Plot 014
  • SB15
    Shanti Berryman Lichen Plot 015
  • SB16
    Shanti Berryman Lichen Plot 016
  • SB17
    Shanti Berryman Lichen Plot 017
  • SB18
    Shanti Berryman Lichen Plot 018
  • SB19
    Shanti Berryman Lichen Plot 019
  • SB20
    Shanti Berryman Lichen Plot 020
  • SB21
    Shanti Berryman Lichen Plot 021
  • SB22
    Shanti Berryman Lichen Plot 022
  • SB23
    Shanti Berryman Lichen Plot 023
  • SB24
    Shanti Berryman Lichen Plot 024
  • SB25
    Shanti Berryman Lichen Plot 025
  • SB26
    Shanti Berryman Lichen Plot 026
  • SB27
    Shanti Berryman Lichen Plot 027
  • SB28
    Shanti Berryman Lichen Plot 028
  • SB29
    Shanti Berryman Lichen Plot 029
  • SB30
    Shanti Berryman Lichen Plot 030
  • SB31
    Shanti Berryman Lichen Plot 031
  • SB32
    Shanti Berryman Lichen Plot 032
  • SB33
    Shanti Berryman Lichen Plot 033
  • SB34
    Shanti Berryman Lichen Plot 034
  • SB35
    Shanti Berryman Lichen Plot 035
  • SB36
    Shanti Berryman Lichen Plot 036
  • SB37
    Shanti Berryman Lichen Plot 037
  • SB38
    Shanti Berryman Lichen Plot 038
  • SB39
    Shanti Berryman Lichen Plot 039
  • SB40
    Shanti Berryman Lichen Plot 040
  • SB41
    Shanti Berryman Lichen Plot 041
  • SB42
    Shanti Berryman Lichen Plot 042
  • SB43
    Shanti Berryman Lichen Plot 043
  • SB44
    Shanti Berryman Lichen Plot 044
  • SB45
    Shanti Berryman Lichen Plot 045
  • SB46
    Shanti Berryman Lichen Plot 046
  • SB47
    Shanti Berryman Lichen Plot 047
  • SB48
    Shanti Berryman Lichen Plot 048
  • SB49
    Shanti Berryman Lichen Plot 049
  • SB50
    Shanti Berryman Lichen Plot 050
  • SB51
    Shanti Berryman Lichen Plot 051
  • SB52
    Shanti Berryman Lichen Plot 052
  • SB53
    Shanti Berryman Lichen Plot 053
  • SB54
    Shanti Berryman Lichen Plot 054
  • SB55
    Shanti Berryman Lichen Plot 055
  • SB56
    Shanti Berryman Lichen Plot 056
  • SB57
    Shanti Berryman Lichen Plot 057
  • SB58
    Shanti Berryman Lichen Plot 058
  • SB59
    Shanti Berryman Lichen Plot 059
  • SB60
    Shanti Berryman Lichen Plot 060
  • SB61
    Shanti Berryman Lichen Plot 061
  • SB62
    Shanti Berryman Lichen Plot 062
  • SB63
    Shanti Berryman Lichen Plot 063
  • SB64
    Shanti Berryman Lichen Plot 064
  • SB65
    Shanti Berryman Lichen Plot 065
  • SB66
    Shanti Berryman Lichen Plot 066
  • SB67
    Shanti Berryman Lichen Plot 067
  • SB68
    Shanti Berryman Lichen Plot 068
  • SB69
    Shanti Berryman Lichen Plot 069
  • SB70
    Shanti Berryman Lichen Plot 070
  • SB71
    Shanti Berryman Lichen Plot 071
  • SB72
    Shanti Berryman Lichen Plot 072
  • SB73
    Shanti Berryman Lichen Plot 073
  • SB74
    Shanti Berryman Lichen Plot 074
  • SB75
    Shanti Berryman Lichen Plot 075
  • SB76
    Shanti Berryman Lichen Plot 076
  • SB77
    Shanti Berryman Lichen Plot 077
  • SB78
    Shanti Berryman Lichen Plot 078
  • SB79
    Shanti Berryman Lichen Plot 079
  • SB80
    Shanti Berryman Lichen Plot 080
  • SB81
    Shanti Berryman Lichen Plot 081
  • SB82
    Shanti Berryman Lichen Plot 082
  • SB83
    Shanti Berryman Lichen Plot 083
  • SB84
    Shanti Berryman Lichen Plot 084
  • SB85
    Shanti Berryman Lichen Plot 085
  • SB86
    Shanti Berryman Lichen Plot 086
  • SB87
    Shanti Berryman Lichen Plot 087
  • SB88
    Shanti Berryman Lichen Plot 088
  • SB89
    Shanti Berryman Lichen Plot 089
  • SB90
    Shanti Berryman Lichen Plot 090
  • SB91
    Shanti Berryman Lichen Plot 091
  • SB92
    Shanti Berryman Lichen Plot 092
  • SB93
    Shanti Berryman Lichen Plot 093
  • SB94
    Shanti Berryman Lichen Plot 094
  • SB95
    Shanti Berryman Lichen Plot 095
  • SB96
    Shanti Berryman Lichen Plot 096
  • SB97
    Shanti Berryman Lichen Plot 097
  • SB98
    Shanti Berryman Lichen Plot 098
  • SB99
    Shanti Berryman Lichen Plot 099
  • SB100
    Shanti Berryman Lichen Plot 100
  • SB101
    Shanti Berryman Lichen Plot 101
  • SB102
    Shanti Berryman Lichen Plot 102
  • SB103
    Shanti Berryman Lichen Plot 103
  • SB104
    Shanti Berryman Lichen Plot 104
  • SB105
    Shanti Berryman Lichen Plot 105
  • SB106
    Shanti Berryman Lichen Plot 106
  • SB107
    Shanti Berryman Lichen Plot 107
  • SB108
    Shanti Berryman Lichen Plot 108
  • SB109
    Shanti Berryman Lichen Plot 109
  • SB110
    Shanti Berryman Lichen Plot 110
  • SB111
    Shanti Berryman Lichen Plot 111
  • SB112
    Shanti Berryman Lichen Plot 112
  • SB113
    Shanti Berryman Lichen Plot 113
  • SB114
    Shanti Berryman Lichen Plot 114
  • SB115
    Shanti Berryman Lichen Plot 115
  • SB116
    Shanti Berryman Lichen Plot 116
  • SB117
    Shanti Berryman Lichen Plot 117
BAF - numeric(2,0) (interval)

ID: SA02103.BAF

Basal Area Factor for the entire plot (used for all subplots)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=0.0000 (exclusive=false), max=50.0000 (exclusive=false)

PLTSERIE - char(1) (ordinal)

ID: SA02103.PLTSERIE

vascular plant series

Type system: Microsoft SQL Server 2008

Code definitions (2)
  • 1
    western hemlock vascular plant series
  • 2
    true fir vascular plant series
AGECLASS - char(1) (ordinal)

ID: SA02103.AGECLASS

stand age classes of the younger cohort or codominant overstory

Type system: Microsoft SQL Server 2008

Code definitions (4)
  • 1
    young, < 20 yrs
  • 2
    pole, 21-80 yrs
  • 3
    mature, 81-200 yrs
  • 4
    old growth (> 200 yrs)
REMCLASS - char(1) (ordinal)

ID: SA02103.REMCLASS

retention classes for the percent of remnants in the older cohort (historical retention based on the percent canopy cover of live remnant trees that survived the most recent disturbance)

Type system: Microsoft SQL Server 2008

Code definitions (5)
  • 1
    0% (0 to 7.5%)
  • 2
    15% (7.5 to 22.5%)
  • 3
    30% (22.5 to 37.0%)
  • 4
    50% (37.0 to 62%)
  • 5
    old growth (not stratified by remnant class)
LAT - numeric(8,5) (ratio)

ID: SA02103.LAT

latitude

Type system: Microsoft SQL Server 2008

Unit: decimal degrees latitude or longitude

Precision: 1

Numeric domain: type=real, min=44.0000 (exclusive=false), max=44.4000 (exclusive=false)

LONG - numeric(9,5) (ratio)

ID: SA02103.LONG

longitude

Type system: Microsoft SQL Server 2008

Unit: decimal degrees latitude or longitude

Precision: 1

Numeric domain: type=real, min=-122.3500 (exclusive=false), max=-122.0000 (exclusive=false)

TOPOCLA - char(1) (ordinal)

ID: SA02103.TOPOCLA

topographic classes (upland or riparian areas)

Type system: Microsoft SQL Server 2008

Code definitions (4)
  • 1
    upland site that does not include or overlap with riparian areas (topocla1)
  • 2
    riparian site with perennial fish bearing streams < 5th order (topocla2)
  • 3
    riparian sites with perennial non fish-bearing streams (topocla3)
  • 4
    riparian sites with intermittent streams (topocla4)
TOPOPOS - char(1) (ordinal)

ID: SA02103.TOPOPOS

classes for the topographic position of the stand in relation to the surrounding landscape

Type system: Microsoft SQL Server 2008

Code definitions (9)
  • 1
    flat or rounded ridge top or peak > 120' wide
  • 2
    narrow ridge top or peak (120' wide)
  • 3
    side hill, upper 1/3
  • 4
    side hill, middle 1/3
  • 5
    side hill, lower 1/3
  • 6
    canyon bottom < 660' or more wide
  • 7
    bench or terrace
  • 8
    broad flat 660' or more wide
  • 9
    other, describe
ELEV - numeric(4,0) (ratio)

ID: SA02103.ELEV

elevation is altitude measured in meters above sea level, recorded from the GPS unit

Type system: Microsoft SQL Server 2008

Unit: meters

Precision: 1

Numeric domain: type=whole, min=457.0000 (exclusive=false), max=1659.0000 (exclusive=false)

SLOPE - numeric(3,0) (ratio)

ID: SA02103.SLOPE

the % slope at plot center, measured with a clinometer

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

Numeric domain: type=whole, min=0.0000 (exclusive=false), max=100.0000 (exclusive=false)

ASPECT - numeric(3,0) (ratio)

ID: SA02103.ASPECT

aspect is the direction in which the water flows down hill; degrees east of true north, measured with a compass

Type system: Microsoft SQL Server 2008

Unit: degrees azimuth

Precision: 1

Numeric domain: type=whole, min=0.0000 (exclusive=false), max=360.0000 (exclusive=false)

BIOIND - char(1) (ordinal)

ID: SA02103.BIOIND

categorical variable indicating if epiphytic macrolichen biomass was sampled in a stand

Type system: Microsoft SQL Server 2008

Code definitions (2)
  • code
    no biomass sampled
  • 1
    biomass was sampled
SA02104 - SA02104

Object name: SA02104.csv

Records: N/A

Attributes: 12

Temporal coverage: 1997-09-23 to 1999-09-15

File size: 7512 byte

Checksum (MD5): 01d687e90471512c1a8b18298c90d9e4

Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column

Constraints (2)
  • primaryKey: PRIMARY
    SA02104.PLOT
  • notNullConstraint: NOTNULL
    SA02104.BACONIF, SA02104.BAHARDW, SA02104.DBCODE, SA02104.DEADBA, SA02104.ENTITY, SA02104.HL, SA02104.LIVEBA, SA02104.PDIR, SA02104.PERBAREM, SA02104.PLOT, SA02104.REMBA, SA02104.TOTBA
Attributes (12)
DBCODE - char(5) (nominal)

ID: SA02104.DBCODE

FSDB Database Code

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • SA021
    FSDB database code SA021
ENTITY - numeric(1,0) (ratio)

ID: SA02104.ENTITY

Entity number

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=4.0000 (exclusive=false), max=4.0000 (exclusive=false)

PLOT - char(5) (ordinal)

ID: SA02104.PLOT

plot (stand) name; all beginning with SB followed by a number

Type system: Microsoft SQL Server 2008

Code definitions (117)
  • SB01
    Shanti Berryman Lichen Plot 001
  • SB02
    Shanti Berryman Lichen Plot 002
  • SB03
    Shanti Berryman Lichen Plot 003
  • SB04
    Shanti Berryman Lichen Plot 004
  • SB05
    Shanti Berryman Lichen Plot 005
  • SB06
    Shanti Berryman Lichen Plot 006
  • SB07
    Shanti Berryman Lichen Plot 007
  • SB08
    Shanti Berryman Lichen Plot 008
  • SB09
    Shanti Berryman Lichen Plot 009
  • SB10
    Shanti Berryman Lichen Plot 010
  • SB11
    Shanti Berryman Lichen Plot 011
  • SB12
    Shanti Berryman Lichen Plot 012
  • SB13
    Shanti Berryman Lichen Plot 013
  • SB14
    Shanti Berryman Lichen Plot 014
  • SB15
    Shanti Berryman Lichen Plot 015
  • SB16
    Shanti Berryman Lichen Plot 016
  • SB17
    Shanti Berryman Lichen Plot 017
  • SB18
    Shanti Berryman Lichen Plot 018
  • SB19
    Shanti Berryman Lichen Plot 019
  • SB20
    Shanti Berryman Lichen Plot 020
  • SB21
    Shanti Berryman Lichen Plot 021
  • SB22
    Shanti Berryman Lichen Plot 022
  • SB23
    Shanti Berryman Lichen Plot 023
  • SB24
    Shanti Berryman Lichen Plot 024
  • SB25
    Shanti Berryman Lichen Plot 025
  • SB26
    Shanti Berryman Lichen Plot 026
  • SB27
    Shanti Berryman Lichen Plot 027
  • SB28
    Shanti Berryman Lichen Plot 028
  • SB29
    Shanti Berryman Lichen Plot 029
  • SB30
    Shanti Berryman Lichen Plot 030
  • SB31
    Shanti Berryman Lichen Plot 031
  • SB32
    Shanti Berryman Lichen Plot 032
  • SB33
    Shanti Berryman Lichen Plot 033
  • SB34
    Shanti Berryman Lichen Plot 034
  • SB35
    Shanti Berryman Lichen Plot 035
  • SB36
    Shanti Berryman Lichen Plot 036
  • SB37
    Shanti Berryman Lichen Plot 037
  • SB38
    Shanti Berryman Lichen Plot 038
  • SB39
    Shanti Berryman Lichen Plot 039
  • SB40
    Shanti Berryman Lichen Plot 040
  • SB41
    Shanti Berryman Lichen Plot 041
  • SB42
    Shanti Berryman Lichen Plot 042
  • SB43
    Shanti Berryman Lichen Plot 043
  • SB44
    Shanti Berryman Lichen Plot 044
  • SB45
    Shanti Berryman Lichen Plot 045
  • SB46
    Shanti Berryman Lichen Plot 046
  • SB47
    Shanti Berryman Lichen Plot 047
  • SB48
    Shanti Berryman Lichen Plot 048
  • SB49
    Shanti Berryman Lichen Plot 049
  • SB50
    Shanti Berryman Lichen Plot 050
  • SB51
    Shanti Berryman Lichen Plot 051
  • SB52
    Shanti Berryman Lichen Plot 052
  • SB53
    Shanti Berryman Lichen Plot 053
  • SB54
    Shanti Berryman Lichen Plot 054
  • SB55
    Shanti Berryman Lichen Plot 055
  • SB56
    Shanti Berryman Lichen Plot 056
  • SB57
    Shanti Berryman Lichen Plot 057
  • SB58
    Shanti Berryman Lichen Plot 058
  • SB59
    Shanti Berryman Lichen Plot 059
  • SB60
    Shanti Berryman Lichen Plot 060
  • SB61
    Shanti Berryman Lichen Plot 061
  • SB62
    Shanti Berryman Lichen Plot 062
  • SB63
    Shanti Berryman Lichen Plot 063
  • SB64
    Shanti Berryman Lichen Plot 064
  • SB65
    Shanti Berryman Lichen Plot 065
  • SB66
    Shanti Berryman Lichen Plot 066
  • SB67
    Shanti Berryman Lichen Plot 067
  • SB68
    Shanti Berryman Lichen Plot 068
  • SB69
    Shanti Berryman Lichen Plot 069
  • SB70
    Shanti Berryman Lichen Plot 070
  • SB71
    Shanti Berryman Lichen Plot 071
  • SB72
    Shanti Berryman Lichen Plot 072
  • SB73
    Shanti Berryman Lichen Plot 073
  • SB74
    Shanti Berryman Lichen Plot 074
  • SB75
    Shanti Berryman Lichen Plot 075
  • SB76
    Shanti Berryman Lichen Plot 076
  • SB77
    Shanti Berryman Lichen Plot 077
  • SB78
    Shanti Berryman Lichen Plot 078
  • SB79
    Shanti Berryman Lichen Plot 079
  • SB80
    Shanti Berryman Lichen Plot 080
  • SB81
    Shanti Berryman Lichen Plot 081
  • SB82
    Shanti Berryman Lichen Plot 082
  • SB83
    Shanti Berryman Lichen Plot 083
  • SB84
    Shanti Berryman Lichen Plot 084
  • SB85
    Shanti Berryman Lichen Plot 085
  • SB86
    Shanti Berryman Lichen Plot 086
  • SB87
    Shanti Berryman Lichen Plot 087
  • SB88
    Shanti Berryman Lichen Plot 088
  • SB89
    Shanti Berryman Lichen Plot 089
  • SB90
    Shanti Berryman Lichen Plot 090
  • SB91
    Shanti Berryman Lichen Plot 091
  • SB92
    Shanti Berryman Lichen Plot 092
  • SB93
    Shanti Berryman Lichen Plot 093
  • SB94
    Shanti Berryman Lichen Plot 094
  • SB95
    Shanti Berryman Lichen Plot 095
  • SB96
    Shanti Berryman Lichen Plot 096
  • SB97
    Shanti Berryman Lichen Plot 097
  • SB98
    Shanti Berryman Lichen Plot 098
  • SB99
    Shanti Berryman Lichen Plot 099
  • SB100
    Shanti Berryman Lichen Plot 100
  • SB101
    Shanti Berryman Lichen Plot 101
  • SB102
    Shanti Berryman Lichen Plot 102
  • SB103
    Shanti Berryman Lichen Plot 103
  • SB104
    Shanti Berryman Lichen Plot 104
  • SB105
    Shanti Berryman Lichen Plot 105
  • SB106
    Shanti Berryman Lichen Plot 106
  • SB107
    Shanti Berryman Lichen Plot 107
  • SB108
    Shanti Berryman Lichen Plot 108
  • SB109
    Shanti Berryman Lichen Plot 109
  • SB110
    Shanti Berryman Lichen Plot 110
  • SB111
    Shanti Berryman Lichen Plot 111
  • SB112
    Shanti Berryman Lichen Plot 112
  • SB113
    Shanti Berryman Lichen Plot 113
  • SB114
    Shanti Berryman Lichen Plot 114
  • SB115
    Shanti Berryman Lichen Plot 115
  • SB116
    Shanti Berryman Lichen Plot 116
  • SB117
    Shanti Berryman Lichen Plot 117
PDIR - numeric(4,2) (ratio)

ID: SA02104.PDIR

potential direct incident radiation; represents the amount of light a site potentially receives, derived from latitude, slope, and aspect (McCune and Keon 2002)

Type system: Microsoft SQL Server 2008

Unit: megaJoule per cm2 per year

Precision: 1

Numeric domain: type=real, min=0.2800 (exclusive=false), max=1.0500 (exclusive=false)

HL - numeric(4,2) (ratio)

ID: SA02104.HL

heat load index measures the amount of heat a site potentially receives during the day, derived from models based on latitude, slope, and aspect

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=real, min=0.2600 (exclusive=false), max=1.0400 (exclusive=false)

LIVEBA - numeric(6,2) (ratio)

ID: SA02104.LIVEBA

basal area of live trees, averaged over five variable -radius subplots; measured using a relescope in 1997 and an angle gauge in 1998 and 1999

Type system: Microsoft SQL Server 2008

Unit: square meters per hectare

Precision: 1

Numeric domain: type=real, min=2.7600 (exclusive=false), max=123.0700 (exclusive=false)

DEADBA - numeric(5,2) (ratio)

ID: SA02104.DEADBA

basal area of dead trees, averaged over five variable-radius subplots; measured using a relescope in 1997 and an angle gauge in 1998 and 1999

Type system: Microsoft SQL Server 2008

Unit: square meters per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=34.9000 (exclusive=false)

TOTBA - numeric(6,2) (ratio)

ID: SA02104.TOTBA

total basal area of live and dead trees, averaged over five variable-radius subplots; measured using a relescope in 1997 and an angle gauge in 1998 and 1999

Type system: Microsoft SQL Server 2008

Unit: square meters per hectare

Precision: 1

Numeric domain: type=real, min=2.7600 (exclusive=false), max=128.5800 (exclusive=false)

REMBA - numeric(5,2) (ratio)

ID: SA02104.REMBA

basal area of live remnant trees, averaged over five variable-radius subplots; measured using a relescope in 1997 and an angle gauge in 1998 and 1999

Type system: Microsoft SQL Server 2008

Unit: square meters per hectare

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=66.1200 (exclusive=false)

BACONIF - numeric(6,2) (ratio)

ID: SA02104.BACONIF

percent basal area of conifers in a stand (percentage of total basal area)

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

Numeric domain: type=real, min=47.4000 (exclusive=false), max=100.0000 (exclusive=false)

BAHARDW - numeric(5,2) (ratio)

ID: SA02104.BAHARDW

percent basal area of hardwood trees in a stand (percentage of total basal area)

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=52.6000 (exclusive=false)

PERBAREM - numeric(5,2) (ratio)

ID: SA02104.PERBAREM

percent basal area of live remnant trees in a stand (percentage of total basal area)

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=96.3000 (exclusive=false)

Units
kilograms per hectare kg/ha arealMassDensity kilogramPerHectare kilogramPerMeterSquared 0.0001 kilograms per hectare
degrees azimuth deg az azimuth azimuthDegree unknown N/A degrees azimuth (0-360)
meters m length meter meter 1 meter; SI unit of length
decimal degrees latitude or longitude deg dec lat-lon latitudeLongitude decimalDegree unknown N/A decimal degrees; latitude (parallel) or longitude (meridian)
megaJoule per cm2 per year megaJ/cm2*year powerDensity megajoulePerCentimeterSquaredPerYear joulePerMeterSquared 3153600000 megaJoule per square centimeter per year
percent % dimensionless number dimensionless 100 percent; a number
square meters per hectare m2/ha areaPerArea meterSquaredPerHectare meterSquaredPerMeterSquared .0001 square meters per hectare
inches in length inch meter 0.0254 inches; an imperial measure of length
number number dimensionless number dimensionless 1 dimensionless number, i.e., ratio, count
Intellectual Rights

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.

Licensed

License: N/A

Maintenance

Maintenance update frequency: notPlanned

Description

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

Change History

  • Version1 (2007-10-04)
    Original entry into SQL of upper level metadata via administrative interface.
  • Version2 (2007-10-09)
    Entity and attribute metadata moved from Excel spreadsheets using move_xls. Data QA/QC checked and appended into SQL. Data is online for entities 1-4. Entity 5 still needs some work.