Skip to Content
Report an accessibility problem

Ecological Survey of Central Arizona: a survey of key ecological indicators in the greater Phoenix metropolitan area and surrounding Sonoran desert, ongoing since 1999

Publication date: 2018-02-19

Author(s):

  • Dan Childers, Arizona State University
  • Nancy Grimm, Arizona State University
  • Diane Hope, Arizona State University
  • Jason Kaye, Penn State
  • Chris Martin, Arizona State University
  • Nancy McIntyre, Texas Tech University
  • Jean Stutz, Arizona State University, Polytechnic campus

Abstract:

The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey, formerly known as the survey 200 and renamed to ESCA in 2015, is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient.

A pilot survey was conducted in 1999, and the first full ESCA was conducted in 2000. The maiden survey in 2000 featured a suite of measurements that were not assessed in later surveys, including data from a portable weather station set up during the field survey at each location, organic matter decomposition, pollen, and mycorrhizae. In 2010, the survey was expanded to include an assessment of one of the residential parcels overlapping the survey plot at sites in residential areas. Many of the same variables that are measured in the 30m x 30m survey plot are measured in the parcel, including an inventory of perennial plants, and the biovolume of trees. In addition, a detailed assessment of characteristics of the parcel is performed.

Investigators interested in the additional variables assessed in the 2000 ESCA, in parcel data collected in the 2010 and subsequent surveys, or in soil data collected during the 2000 ESCA (encapsulated in a separate data set owing to a different reporting format) should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.


Keywords:

soil, soil bulk density, soil moisture, soil nutrients, soil chemistry, soil carbon, soil nitrogen, soil organic matter, soil ph, soil phosphorus, soil properties, soil texture, soluble reactive phosphorus, agriculture, urban, carbon, ammonium, nitrate, nitrogen, nutrients, inorganic nitrogen, inorganic nutrients, phosphate, phosphorus, percent carbon, percent nitrogen, insects, arthropods, trees, shrubs, vegetation, plants, plant biomass, plant communities, plant cover, plant height, plant species composition, plant species, community composition, land use, long term monitoring, land cover, buildings movement of organic matter, movement of inorganic matter, disturbance patterns, land use and land cover change, water and fluxes, adapting to city life survey200, survey 200, phoenix, maricopa county, ecological survey of central arizona, sonoran desert, desert, suburban, neighborhood, yard, mesic, xeric, city cap lter, cap, caplter, central arizona phoenix long term ecological research, arizona, az, arid land

Temporal Coverage:

1999-05-12 to 2015-06-30

Geographic Coverage:

Geographic Description: CAP LTER study area
Bounding Coordinates:
Longitude:-112.783 to -111.579
Latitude:33.8267 to 33.2186

Contact:

Data Manager, Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, 
PO Box 875402,Tempe
 caplter.data@asu.edu

Methods used in producing this dataset: Show


Data Files (16) :

Tabular: 652_human_indicators_d26842ef4fe8a4dc45e453f6a1a5090d.csv

Description: The presence of features or characteristics that are reflective of human presence or activity at the study plot.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
human_presence_of_path indication of the presence of a path through the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
human_footprints indication of the presence of foot prints through the plot
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_bike_tracks indication of the presence of a bicycle tracks through the plot
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_off_road_vehicle indication of the presence of off road vehicle activity in the plot
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_small_litter amount of small litter
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_dumped_trash_bags amount of dumped trash bags
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_abandoned_vehicles amount of abandoned vehicles at the site
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_graffiti amount of graffiti present
string
Enumeration:
  • n/a: not applicable
  • none: none
  • some: some
human_injured_plants amount of injured plants
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_informal_play amount of informal play occurring at the site
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_informal_recreation amount of informal recreation occurring at the site
string
Enumeration:
  • n/a: n/a
  • none: none
  • some: some
human_informal_living amount of informal living in the plot (homeless camps, water bottles, bonfire sites, privies)
string
Enumeration:
  • n/a: not applicable
  • none: none
  • some: some
human_sports_equipment amount of sports equipment used within the site
string
Enumeration:
  • many: many
  • n/a: not applicable
  • none: none
  • some: some
human_number_cars number of cars within a 50 m radius of the plot
float number
human_number_motorcycles number of motorcycles within a 50 m radius of the plot
float number
human_number_bicycles number of bicycles within a 50 m radius of the plot
float number
human_number_houses number of houses within a 50 m radius of the plot
float number
human_number_rvs number of recreational vehicles within a 50 m radius of the plot
float number
human_social_class approximate (perceived) social class of the surrounding area
string
Enumeration:
  • middle class: middle class
  • n/a: not applicable
  • poor: poor
  • rich: rich
  • upper middle: upper middle
  • upper middle class: upper middle class
  • working lower: working lower
  • working lower class: working lower class

Tabular: 652_landscape_irrigation_d7f0a19d05b3a8c04f20ec2e61292adb.csv

Description: Characteristics reflective of the landscape type, health, and quality at the plot.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
appears_maintained landscape maintenance quality
string
Enumeration:
  • do_not_know: do_not_know
  • n/a: not applicable
  • no: no
  • yes: yes
appears_professional indication of professional landscaping
string
Enumeration:
  • do_not_know: do_not_know
  • n/a: not applicable
  • no: no
  • yes: yes
appears_healthy were the plants healthy
string
Enumeration:
  • do_not_know: do_not_know
  • n/a: not applicable
  • no: no
  • yes: yes
appears_injured presence of injury to plants
string
Enumeration:
  • do_not_know: do_not_know
  • n/a: not applicable
  • no: no
  • yes: yes
presence_of_open_ground presence of bare soil in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_trees presence of trees in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_shrubs presence of shrubs in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_cacti_succ presence of cacti or succulents in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_lawn presence of turf in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_herbaceous_ground presence of herbaceous ground cover in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_other presence of other types of ground cover in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_hand_water indication of hand watering in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_drip_water indication of drip irrigation in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_overhead_water indication of overhead watering in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_flood_water indication of flood irrigation in the plot
string
Enumeration:
  • TRUE: TRUE
presence_of_subterranean_water indication of subterranean irrigation in the plot
string
Enumeration:
  • FALSE: FALSE
presence_of_no_water indication of no irrigation at the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
presence_of_pervious_irrigation indication of pervious irrigation in the plot
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE

Tabular: 652_annuals_69842b489f6147e3dcb107ce6b3e0ab8.csv

Description: Catalog of all annual plants identified within the study plot.
Temporal Coverage: 1999-05-13 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
vegetation_scientific_name scientific name of plant
string
common_name common name of plant
string
vegetation_rope_length length of N-S, E-W plot center axes that are in contact with annual plants (as an approximation for cover of annual plots in the plot)
float meter

Tabular: 652_shrubs_cacti_succulents_b0d9e621091e658ba87846c325f3388a.csv

Description: Biovolume and characteristics of shrubs and succulent plants within study plots; up to five plants of each type are surveyed.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
vegetation_scientific_name scientific name of plant
string
common_name common name of plant
string
vegetation_shape_code general shape of the plant
string
Enumeration:
  • box: box
  • elliptic: elliptic
  • hedged: hedged
  • natural: natural
  • rounded: rounded
  • spreading: spreading
  • upright: upright
vegetation_classification_code general position or application of plant in the landscape
string
Enumeration:
  • accent: accent
  • foundation: foundation
  • naturalized: naturalized
  • pool: pool
height_measured Height of the plant if measured in the field with a meter tape. The height of plants that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation.
float meter
height_distance distance between the plant and surveyor when angles were measured
float degree
height_degree_up angle in degrees of the top of the plant
float degree
height_degree_down angle in degrees of the base of the plant
float degree
width_ns width of the plant along the north-south axis
float meter
width_ew width of the plant along the east-west axis
float meter
stem_diameter stem diameter
float centimeter
stem_height height at which stem was measured
float inch

Tabular: 652_trees_2a3f070887702331017ff5173a5fa0af.csv

Description: Size and characteristics of trees and Saguaros (Carnegiea gigantea) within study plots. Unlike shrubs and smaller plants where the characteristics of up to five individuals of each type are measured, characteristics of all trees and Saguaros in a plot are assessed. As such, these data also reflect the total number of trees and Saguaros in the study plot. An exception to this is seedlings, where trees less than 1 meter in height are simply counted (and not measured); counts of these plants are available in the number_perennials data that is part of this data set.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
vegetation_scientific_name scientific name of plant
string
common_name common name of plant
string
vegetation_shape_code general shape of the plant
string
Enumeration:
  • columnar: columnar
  • natural: natural
  • pyramidal: pyramidal
  • rounded: rounded
  • spreading: spreading
  • upright: upright
vegetation_classification_code general position or application of plant in the landscape
string
Enumeration:
  • accent: accent
  • foundation: foundation
  • naturalized: naturalized
  • pool: pool
  • shade: shade
  • street: street
height_measured Height of the plant if measured in the field with a meter tape. The height of plants that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation.
float meter
height_distance distance between the plant and surveyor when angles were measured
float meter
height_degree_up angle in degrees of the top of the plant
float degree
height_degree_down angle in degrees of the base of the plant
float degree
bottom_canopy_height hight to the bottom of the tree canopy if measured in the field with a meter tape.
float meter
crown_deg_down angle to bottom of the tree canopy if bottom canopy height was estimated using a clinometer
float degree
width_ns width of the plant along the north-south axis
float meter
width_ew width of the plant along the east-west axis
float meter
stem_diameter stem diameter
float centimeter
stem_height Height at which stem was measured. This is often reported as Diameter Breast Height (DBH; ~4.5 feet), or Diameter Ground Height (DBG; measured at the base of the trunk). If value is numeric, height is in inches. Several codes (g, b, n) were used in early years of the survey, and their meaning is unclear.
string
stem_count number of stems that contributed to stem_diameter measurement
float number
missing_branches approximate percentage of branches that missing from what would be considered a perfectly healthy tree
float dimensionless
canopy_condition general condition of the tree canopy
string
Enumeration:
  • critical: critical
  • dead: dead
  • dying: dying
  • excellent: excellent
  • fair: fair
  • good: good
  • n/a: not applicable
  • poor: poor

Tabular: 652_number_perennials_a3c4b916bee0181650526a0bd5124963.csv

Description: The number of perennial plants in the study plot, except Saguaros and mature trees, the numbers of which are available in the trees data that are part of this data set.
Temporal Coverage: 1999-05-13 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
vegetation_scientific_name scientific name of plant
string
common_name common name of plant
string
number_plants number of plants of this type
float number

Tabular: 652_hedges_cadb4d593069eecae3246198b0238e0d.csv

Description: Biovolume and characteristics of hedges within study plots; up to five hedges of each type are surveyed.
Temporal Coverage: 2000-02-08 to 2015-06-29

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
vegetation_scientific_name scientific name of plant
string
common_name common name of plant
string
vegetation_shape_code general shape of the plant
string
Enumeration:
  • box: box
  • elliptic: elliptic
  • hedged: hedged
  • natural: natural
stem_diam metadata not available
float centimeter
height_measured Height of the plant if measured in the field with a meter tape. The height of plants that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation.
float meter
height_distance distance between the plant and surveyor when angles were measured
float degree
height_degree_up angle in degrees of the top of the plant
float degree
height_degree_down angle in degrees of the base of the plant
float degree
width width of the hedge
float meter
length length of the hedge
float meter
crown_height Height of the hedge if measured in the field with a meter tape. The height of hedges that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation.
float meter
percent_missing approximate percentage of biovolume that missing from what would be considered a full, healthy shrub
float dimensionless
hedge_condition perceived health of the hedge
string
Enumeration:
  • excellent: excellent
  • fair: fair
  • good: good
number_of_plants number of plants that make up the complete hedge
float number

Tabular: 652_landuse_fc380621290eadce6798174a56fe32b5.csv

Description: Estimated land use or land cover in the study plot. Plots may consist of multiple land use or land cover types, with the approximate percentage of each estimated. Land use or land cover types/labels are adapted from land use/land cover designations employed by the Maricopa County Association of Governments.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
landuse_label land use or land cover description
string
landuse_percent estimated percent of plot covered by category
float dimensionless

Tabular: 652_neighborhood_characteristics_0ebb6977ff6a20ebef9ea5a843326f98.csv

Description: General characteristics, such as those relating to perceived social class, types of buildings (if present), landscape quality and features, and traffic of the immediate area surrounding the study plot.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
neigh_social_class_poor perceived poor neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_social_class_rich perceived wealthy neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_social_class_upper_middle perceived upper middle class neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_social_class_working_lower perceived working lower class neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_buildings_residential residential buildings in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_buildings_commercial commercial buildings in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_buildings_institutional institutional buildings in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_buildings_industrial industrial buildings in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_residence_apartments residential apartments in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_residence_multi_family multi-family residences in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_residence_single_family single-family residences in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_irrigation_drip_trickle evidence of drip irrigation in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_irrigation_flood_hand evidence of flood irrigation or hand watering in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_irrigation_overhead_spray evidence of overhead watering in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_yard_upkeep_good upkeep of yards in neighborhood is good
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_yard_upkeep_poor upkeep of yards in neighborhood is poor
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_yard_upkeep_professionally_maintained yards in neighborhood appear professionally maintained
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_landscape_mesic mesic landscaping in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_landscape_mixed mixed (mesic, xeric) landscaping in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_landscape_xeric xeric landscaping in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_landscape_turf_present turf present in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_collector_street collector street(s) in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_cul_de_sac cul de sac in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_dirt_road dirt road(s) in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_freeway_expressway freeway or expressway in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_highway highway in neighborhood
string
Enumeration:
  • FALSE: FALSE
neigh_traffic_major_city_road major city road(s) in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_none no road(s) in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_traffic_paved_local_street pavel local street(s) in neighborhood
string
Enumeration:
  • FALSE: FALSE
  • TRUE: TRUE
neigh_notes general notes about the neighborhood
string

Tabular: 652_structures_e254142a972c35c14c5b62cfe586bf5f.csv

Description: Type and height of any structures within the study plot.
Temporal Coverage: 2000-02-03 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
structure_use type or use of structure
string
height_measured Height of the building if measured in the field with a meter tape. The height of buildings that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the building; height_degree_down is the angle in degrees of the base of the building; and height_distance is the distance between the building and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation.
float meter
height_distance distance between the building and surveyor when angles were measured
float degree
height_degree_up angle in degrees of the top of the building
float degree
height_degree_down angle in degrees of the base of the building
float degree

Tabular: 652_sampling_events_127265c75731f5922b61210dd0f9fc63.csv

Description: Date of survey and general characteristics of the study plot, including the elevation, slope, a description of the plot, and a description of weather on the date of sampling.
Temporal Coverage: 1999-05-12 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
elevation survey plot elevation
float meter
slope predominant slope of survey plot
float degree
weather_on_the_day general description of weather on the day of sampling
string
weather_recent_rain_notes notes relating to evidence of recent rain at the plot
string
general_description general description of the survey plot
string

Tabular: 652_soil_center_cores_3f4963a5d816a1bc2b3bdf284c43006e.csv

Description: Physical and chemical properties of soils, including bulk density, particle size fraction, plant matter, pH and conductivity, moisture content, and texture. Measurements are made on a single core (2-inch diameter, 6-inch depth) taken near the survey plot center.
Temporal Coverage: 2005-02-15 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
sampling_notes sampling notes made by the field crew
string
core_height_cm height of the soil core material collected in the field before processing
float centimeter
soil_bulkdensity_fw fresh weight of the soil core
float gram
dw_more_2_mm weight of fractions greater than 2 mm
float gram
dw_less_2_mm weight of fractions less than 2 mm
float gram
plant_matter plant matter weight
float gram
conductivity conductivity of soil
float siemen
ph_value pH of soil
float dimensionless
pan weight of pan used to determine soil moisture correction factor
float gram
pan_plus_fw weight of pan and fresh soil subsample
float gram
pan_plus_dw60 weight of pan and soil subsample dried at 60 degrees celsius
float gram
pan_plus_dw105 weight of pan and soil subsample dried at 105 degrees celsius
float gram
soil_texture_fw sample weight of soil for texture analysis
float gram
temperature initial temperature reading for soil texture
float celsius
r05 hydrometer reading of soil solution at 30 seconds
float dimensionless
r1 hydrometer reading of soil solution at 1 minute
float dimensionless
t1 temperature reading at 1 minute
float celsius
r90 hydrometer reading of soil solution at 90 minutes
float dimensionless
t90 temperature reading at 90 minutes
float celsius
r1440 hydrometer reading of soil solution at 24 hours
float dimensionless
t1440 temperature reading at 24 hours
float celsius
notes soil texture analysis notes
string
cal_texture_fw for blank calibration of texture analysis, sample weight
float gram
cal_temp for blank calibration of texture analysis, initial temperature reading for soil texture
float celsius
cal_r05 for blank calibration of texture analysis, hydrometer reading of soil solution at 30 seconds
float dimensionless
cal_r1 for blank calibration of texture analysis, hydrometer reading of soil solution at 1 minute
float dimensionless
cal_t1 for blank calibration of texture analysis, temperature reading at 1 minute
float celsius
cal_r90 for blank calibration of texture analysis, hydrometer reading of soil solution at 90 minutes
float dimensionless
cal_t90 for blank calibration of texture analysis, temperature reading at 90 minutes
float celsius
cal_r1440 for blank calibration of texture analysis, hydrometer reading of soil solution at 24 hours
float dimensionless
cal_t1440 for blank calibration of texture analysis, temperature reading at 24 hours
float celsius
cal_run_date soil texture analysis date
date Format: YYYY-MM-DD

Tabular: 652_soil_lachat_58b545a08d2c80fdbafdfa0ff02edb0a.csv

Description: Raw soil core chemistry (nitrate-nitrogen, ammonium-nitrogen, phosphate). Analyses performed on a Lachat QC8000. Analyses data are available for years 2010 (nitrogen) and 2015 (nitrogen and phosphorus).
Temporal Coverage: 2010-02-19 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
deep_core_type layer of core analyzed
string
Enumeration:
  • bottom: bottom-layer of the sample core: 10-30 centimeters
  • top: top-layer of the sample core: 0-10 centimeters
sample_id sample identifier
string
sample_type analysis type
string
Enumeration:
  • Calibration Standard: Solution prepared from the primary dilution standard solution or stock standard solutions. The calibration solutions are used to calibrate the instrument response with respect to analyte concentration.
  • Check Standard: standard and blank run through out the run to check calibration during analysis
  • Method Detection Limit: the lowest level at which an analyte can be detected with 99 percent confidence that the analyte concentration is greater than zero
  • Unknown: sample for analysis
replicate_number replicate sample number
float number
repeat_number repeat sample number
float number
cup_number sample position in run
string
manual_dilution_factor factor by which sample was manually diluted
float dimensionless
auto_dilution_factor factor by which sample was auto diluted
float dimensionless
weight_units weight units
string
weight weight
string
units units
string
detection_date analysis date
date Format: YYYY-MM-DD
detection_time analysis time
date Format: HH:MM:SS
user_name instrument user
string
run_file_name analysis output file name
string
description sample description
string
channel_number channel number
float number
analyte_name name of analyte measured
string
Enumeration:
  • Ammonia: ammonium-nitrogen
  • NItrate/Nitrite: nitrate-nitrogen
peak_concentration peak concentration
string
determined_conc the actual output for the peak concentration for calibration standards etc where the expected concentration has been input
string
concentration_units concentration units
string
peak_area peak area
float voltSecond
peak_height peak height
float volt
calibration_equation equation used to calculate unknown concentration
string
retention_time values that are used to set timing for the method each; method has a known RT for the peak
float second
inject_to_peak_start timing for the sample to go from injection onto the manifold to the time the peak starts on the run
float second
conc_x_adf peak concentration times the auto-diluton value if any
string
conc_x_mdf peak concentration times the manual diluton value if any
string
conc_x_adf_x_mdf peak concentration times both the auto-dilution and manual dilution if any
string

Tabular: 652_soil_traacs_4365c035a194c3879b0e1eb80cb5c1d6.csv

Description: Raw soil nutrient data as analyzed by Traacs for soil samples collected in 2005 and 2010.
Temporal Coverage: 2005-02-15 to 2010-06-21

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
deep_core_type layer of core analyzed
string
Enumeration:
  • bottom: bottom-layer of the sample core: 10-30 centimeters
  • top: top-layer of the sample core: 0-10 centimeters
sample_id sample identity or type analyzed
string
sample_set sample batch identity
string
conc_mg_l substance concentration
float milligramsPerLiter
survey_year survey year
date Format: YYYY
analyte substance quantified
string
Enumeration:
  • ammonium: ammonium-nitrogen (mg N L-1)
  • nitrate: nitrate-nitrogen (mg N L-1)
  • phosphorus: phosphorus (mg P L-1)

Tabular: 652_soil_perimeter_cores_62e57ec1a9c312c51df16a0462eb9843.csv

Description: Chemical properties of soils, including nitrate-nitrogen, ammonium-nitrogen, and phosphate, and moisture content. Measurements are made from four cores (1-inch diameter) collected approximately 10-m in each cardinal direction from the survey plot center. Cores from each cardinal direction are split into two depths: 0-10cm and 10-30cm, and homogenized.
Temporal Coverage: 2005-02-15 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
deep_core_type layer of core analyzed
string
Enumeration:
  • bottom: bottom-layer of the sample core: 10-30 centimeters
  • top: top-layer of the sample core: 0-10 centimeters
  • unknownA: unknown sample designated A
  • unknownB: unknown sample designated B
pan weight of pan used to determine fresh / dry weight ratios
float gram
pan_plus_fw weight of pan and fresh soil subsample
float gram
pan_plus_dw60 weight of pan and dry soil subsample dried at 60 degrees celsius
float gram
pan_plus_aw weight of pan and dry soil subsample dried at 500 degrees celsius
float gram
soil_n_fw fresh weight of soil sample for analyses of nitrogen species
float gram
n_extract_volume volume of KCl extract for analyses of nitrogen species
float milliliter
nh4_n ammonium-nitrogen (NH4-N) concentration of sample extract
float milligramsPerLiter
no3_n nitrate-nitrogen (NO3-N) concentration of sample extract
float milligramsPerLiter
soil_p_fw fresh weight of soil sample for analyses of phosphorus
float gram
p_extract_volume volume of NaHCO3 extract for analysis of phosphorus
float milliliter
po4_p phosphate-phosphorus (PO4-P) concentration of sample extract
float milligramsPerLiter
percent_total_c percentage of total carbon
float dimensionless
percent_inorg_c percentage of inorganic carbon
float dimensionless
percent_total_n percentage of total nitrogen
float dimensionless

Tabular: 652_arthropods_e9c22403e0f7243f241ed64862e22e05.csv

Description: Arthropods collected in sweepnet samples at survey plots. Sweepnet samples are collected on up to three plants, typically of different types. Organisms are identified to the finest possible taxonomic resolution and enumerated. At plots lacking shrubs, trees, or other large plants, samples are typically collected from sweeps of the ground.
Temporal Coverage: 1999-05-13 to 2015-06-30

Column Description Type Units
sample_date survey date
date Format: YYYY-MM-DD
site_code location code
string
sweepnet_sample_type substratum from which the sweepnet sample was collected
string
Enumeration:
  • ground sweep: sweepnet was collected from sweeps of the ground
  • plant: sweepnet collected from a single plant
  • unknown: substratum from which the sweepnet sample was collected is not known or was not reported
substratum Name or description of the substratum from which the sweepnet sample was collected, typically this is the scientific name of a plant but may be otherwise if the sample was not collected from a single plant.
string
arthropod_scientific_name scientific name of the arthropod
string
number_of_arthropods number of arthropod of that type collected in that sweepnet sample
float number
notes notes regarding sample collection or processing
string

Download EML Metadata for this data package