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Annual precipitation and photo-derived vegetation and litter cover (2013-2021) used for analysis in the manuscript “Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands”

General Information
Data Package:
Local Identifier:knb-lter-jrn.210413003.2
Title:Annual precipitation and photo-derived vegetation and litter cover (2013-2021) used for analysis in the manuscript “Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands”
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This dataset contains water year precipitation collected from meteorological stations, litter and vegetation cover values derived from overhead photos, and litter and soil accumulation in lateral photos in a long-term experiment (2013-2021) of cross-scale interactions (CSIs) at the Jornada Basin LTER site in southern New Mexico, U.S.A. Manipulations were initiated in 2013 at 15 experimental blocks, each with 4 treatment plots: plant-scale herbicide of mesquite shrubs, patch-scale connectivity modifiers (ConMods), herbicide + ConMods, control without manipulations. Litter, soil, and vegetation cover were estimated using repeat overhead photographs of microplots within treatment and control plots. Litter and soil accumulation were estimated from lateral photos of ConMods. This dataset utilized QuickBird imagery from 2011 to assess ground cover classes within the Jornada Basin, focusing on bare ground, herbaceous, and shrub cover. Daily precipitation data collected from 13 meteorological stations were used to calculate water year (1 October-30 September) precipitation from 2013 through 2021. This dataset provides supporting data for the manuscript "Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands" by Peters et al. 

Short Name:CSIS_Peters_et_al_2023_1
Publication Date:2024-05-20
Language:English
For more information:
Visit: https://jrn.lternet.edu
Visit: DOI PLACE HOLDER

Time Period
Begin:
2013
End:
2021

People and Organizations
Contact:Information Manager (Jornada Basin LTER Program) [  email ]
Creator:Peters, Debra C (USDA-ARS Jornada Experimental Range)
Creator:Burruss, Nathan D. (New Mexico State University, Jornada Basin LTER)
Creator:Anderson, John (New Mexico State University, Jornada Basin LTER, Jornada Research Site Manager)
Creator:Heintzman, Lucas (New Mexico State University)
Associate:Savoy, Heather (USDA-ARS Jornada Experimental Range, data analyst)
Associate:James, Darren (USDA-ARS Jornada Experimental Range, data analyst)
Associate:JRN field crew,  (Jornada Basin LTER, New Mexico State University, Jornada Basin LTER Field Crew, field data collection)
Associate:Campanella, Andrea (New Mexico State University, Jornada Basin LTER, field data collection)
Associate:Brennan, James (New Mexico State University, Jornada Basin LTER, field data collection)
Associate:Gename, Kyle (New Mexico State University, Jornada Basin LTER, field data collection)

Data Entities
Data Table Name:
Derived plant and litter cover data table for the analysis
Description:
Data table used for the analyses in "Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands" manuscript. Cover data, precipitation, and litter accumulation (areal + vertical)
Data Table Name:
Cover by functional type derived from QuickBird imagery
Description:
Data table used for the analyses in "Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands" manuscript. Cover by functional type derived from QuickBird imagery
Detailed Metadata

Data Entities

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210413003/2/d7b0d635091809ab8c89cd6ddbb47703
Name:Derived plant and litter cover data table for the analysis
Description:Data table used for the analyses in "Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands" manuscript. Cover data, precipitation, and litter accumulation (areal + vertical)
Number of Records:2160
Number of Columns:9

Table Structure
Object Name:jrn413003_OH_data_combined_block.csv
Size:145185 byte
Authentication:47c7abd216df9858bbc32abec756eb79 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 YearBlockVeg typeTreatmentPercent coverWater year precipShrub cover 2011Litter areaVertical accumulation
Column Name:year  
block  
type  
treatment  
cover_pct  
ppt_cm_wy  
shrub_2011  
area_avg_cm2  
vert_acc_2017  
Definition:Year of observationExperimental block number (1-15)Vegetation cover typeTreatment levelCalculated cover value from overhead images of microplotsTotal water year (October - September) precipitation in centimetersThe average shrub cover for each block prior to the study (2011) calculated from Quickbird imageryThe areal of accumulation of litter and soil in lateral images of microplots (ConMods).The 2017 average difference in vertical accumulation from initial values (2013) by block
Storage Type:date  
integer  
string  
string  
float  
float  
float  
float  
float  
Measurement Type:dateTimeintervalnominalnominalratioratioratioratioratio
Measurement Values Domain:
FormatYYYY
Precision1
Unitnumber
Typeinteger
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codepgrass_alive
DefinitionPerennial grass functional group - alive
Source
Code Definition
Codeagrass_alive
DefinitionAnnual grass functional group - alive
Source
Code Definition
Codelitter
DefinitionLitter cover
Source
Code Definition
Codeforb_alive
DefinitionForb/broadleaved herb functional group - alive
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codecontrol
DefinitionControl (no herbicide or ConMod treatments applied)
Source
Code Definition
Codeplant
DefinitionPlant-scale treatment - herbicide applied [alternate code]
Source
Code Definition
Codepatch
DefinitionPatch-scale treatment - ConMods added [alternate code]
Source
Code Definition
Codeplant&patch
DefinitionPlant- and patch-scale treatment - herbicide applied AND ConMods added [alternate code]
Source
Unitpercent
Typereal
Unitcentimeter
Typereal
Unitpercent
Typereal
UnitcentimeterSquared
Typereal
UnitcentimeterSquared
Typereal
Missing Value Code:              
CodeNA
ExplMissing value - data not collected or otherwise unavailable
  
Accuracy Report:                  
Accuracy Assessment:                  
Coverage:                  
Methods:                  

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210413003/2/da620560c885991b6ca66c21b6987fa4
Name:Cover by functional type derived from QuickBird imagery
Description:Data table used for the analyses in "Growing grasses in the desert: Multi-scale Interactions and State Change Reversal in Drylands" manuscript. Cover by functional type derived from QuickBird imagery
Number of Records:15
Number of Columns:5

Table Structure
Object Name:jrn413003_quickbird_gradients.csv
Size:679 byte
Authentication:9e5930fb99332ac1a4af946b8f4772fe Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 YearBlockBareground percent coverHerbaceous percent coverShrub percent cover
Column Name:year  
block  
bare  
herbaceous  
shrub  
Definition:Year of observationExperimental block number (1-15)Bare ground (no cover, estimated from QuickBird immagery)Herbaceous (estimated from QuickBird immagery)Shrub cover (estimated from QuickBird immagery)
Storage Type:date  
integer  
float  
float  
float  
Measurement Type:dateTimeintervalratioratioratio
Measurement Values Domain:
FormatYYYY
Precision1
Unitnumber
Typeinteger
Unitpercent
Typereal
Unitpercent
Typereal
Unitpercent
Typereal
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. 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. Thank you.

Keywords

By Thesaurus:
LTER Core Research Areasland use and land cover change
LTER Controlled Vocabulary v1deserts, land cover, landscape change, plant cover, precipitation, restoration, wind
noneJRN LTER, Jornada Basin LTER, connectivity
Jornada Basin project namesCSIS, Cross Scale Interactions Study, LTER, prj 413
Jornada Basin place namesCSIS, Pasture 9

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Experimental design

Our experimental design consisted of 15 - 1 ha blocks spatially distributed across the study area selected to have similar total percentage vegetation cover within a block, but to vary in the proportion of perennial grass and mesquite cover among blocks. At each block location, four 15m x 25m plots were identified with similar percentage grass and shrub cover with a focal patch in the center. Plots were arrayed perpendicular lengthwise to the dominant southwest to northeast wind direction, and were >15 m apart to minimize between-plot treatment effects.

Each plot within a block was randomly assigned to one of four connectivity treatments: (1) plant scale where all mesquite plants within and surrounding the focal patch were killed in place to modify competitive interactions between woody plants and recovery of perennial grasses and other herbaceous plants with no direct effects on horizontal transport by wind and water, (2) patch scale where Connectivity Modifiers (ConMods, Okin et al. 2015) were located in bare soil interspaces between plants in the focal patch to reduce gap size and to modify transport of water, soil, nutrients, litter, and herbaceous seeds, (3) both patch- and plant-scale manipulations were conducted in each focal patch, and (4) no manipulations [controls]. Block and plot selection were completed in June 2012 followed by the characterization of initial vegetation cover in all plots in June 2013 when treatments were initiated.

Plant-scale manipulations (+WPI)

At the plant scale, repeat photos of ten randomly selected ConMod microplots and ten randomly selected control microplots were taken annually at peak growing season (September) from 2013 to 2021. Standardized overhead photos were used to estimate perennial grass cover as our response variable, and cover of forbs (annual and perennial), annual grasses, and litter as fine-scale factors that could influence grass cover by providing favorable microhabitats for grass seedlings (litter) or by competing with perennial grass plants (forbs, annual grasses). Overhead photos were collected from 2013 to 2021, and image analysis software was used to classify 100 random points by species, soil or litter (USDA SamplePoint software; Booth et al. 2006, Peters et al. 2020). Species cover in each year was summed to obtain functional group cover: annual grasses or forbs.

Patch-scale manipulations (+WPa)

Lateral photos obtained from the same microplot locations as overhead photos were used to estimate the redistribution of soil and litter by wind and water from bare interspaces to ConMods or to herbaceous plant canopies. Lateral imagery was collected from 2013 to 2017 at ground level from each cardinal direction to estimate the vertical accumulation of soil and litter (hereafter "litter"). The area between the tops and sides of each ConMod’s outer rods and the top contour of the combined litter and soil surface was determined (methods described in Peters et al 2020; SigmaScan pro 5.0: Systat Software, Inc. San Jose, CA USA) using Trace Measurement Mode with Area and Distance measurement options. The area difference between years for the same ConMod was a measure of the change in vertical accumulation of litter or soil. Lateral photos were discontinued after 2017 when density and cover of herbaceous plants made the analysis of litter and soil accumulation difficult and prone to error.

Landscape-scale factors

Factors at the landscape scale were initial shrub cover based on classified imagery from the Quickbird satellite mission in 2011 and water year precipitation. Quickbird source imagery used in the classification should be available at https://earth.esa.int/eogateway/catalog/quickbird-2-esa-archive. Cover classification into bare ground, herbaceous, and shrub categories utilized a supervised classification tool in ArcGIS’s Spatial Analysis extension. Training data were provided by field staff who identified and georeferenced representative samples of each cover type. ArcGIS was then used to analyze spectral signatures of the QuickBird imagery and classify pixels.

Daily precipitation data from 13 weather stations spatially distributed throughout the study area were summed for the water year (1 October to 31 September). For each block, precipitation from the nearest weather station was used in the analysis. These weather station datasets are referenced in the Data Provenance metadata element.

References

Okin, Gregory S., Mariano Moreno-de las Heras, Patricia M. Saco, Heather L. Throop, Enrique R. Vivoni, Anthony J. Parsons, John Wainwright, and Debra P. C. Peters. 2015. "Connectivity in Dryland Landscapes: Shifting Concepts of Spatial Interactions." Frontiers in Ecology and the Environment 13 (1): 20–27. https://doi.org/10.1890/140163.

Booth, D. Terrance, Samuel E. Cox, and Robert D. Berryman. "Point sampling digital imagery with 'SamplePoint'." Environmental Monitoring and Assessment 123 (2006): 97-108.

Peters, Debra P. C., Gregory S. Okin, Jeffrey E. Herrick, Heather M. Savoy, John P. Anderson, Stacey L. P. Scroggs, and Junzhe Zhang. 2020. "Modifying Connectivity to Promote State Change Reversal: The Importance of Geomorphic Context and Plant–Soil Feedbacks." Ecology 101 (9): e03069. https://doi.org/10.1002/ecy.3069.

This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information. This method step describes provenance-based metadata as specified in the LTER EML Best Practices. This provenance metadata does not contain entity specific information.

Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 3 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 5 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 6 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 8 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 7 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 2 meteorological station: Daily summary data: 2013 - ongoing
Data Source
Plant and litter cover estimates derived from overhead microplot photos in the Cross-Scale Interactions Study (CSIS) at Jornada Basin LTER, 2013-ongoing
Data Source
Litter and soil accumulation estimates derived from lateral microplot photos in the Cross-Scale Interactions Study (CSIS) at Jornada Basin LTER, 2013-2017

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Debra C Peters
Organization:USDA-ARS Jornada Experimental Range
Email Address:
deb.peters@usda.gov
Id:https://orcid.org/0000-0002-5842-8099
Individual: Nathan D. Burruss
Organization:New Mexico State University, Jornada Basin LTER
Email Address:
dylanb@nmsu.edu
Id:https://orcid.org/0000-0002-7682-2401
Individual: John Anderson
Organization:New Mexico State University, Jornada Basin LTER
Position:Jornada Research Site Manager
Email Address:
janderso@jornada.nmsu.edu
Id:https://orcid.org/0000-0002-6417-8022
Individual: Lucas Heintzman
Organization:New Mexico State University
Email Address:
lheintzm@nmsu.edu
Contacts:
Organization:Jornada Basin LTER Program
Position:Information Manager
Address:
P.O. Box 30003; MSC 3JER New Mexico State University,
Las Cruces, NM 88003-8003 U.S.A.
Phone:
575-322-2430
Email Address:
jornada.data@nmsu.edu
Web Address:
https://lter.jornada.nmsu.edu/information-management/
Associated Parties:
Individual: Heather Savoy
Organization:USDA-ARS Jornada Experimental Range
Id:https://orcid.org/0000-0002-2032-4868
Role:data analyst
Individual: Darren James
Organization:USDA-ARS Jornada Experimental Range
Email Address:
darren.james@usda.gov
Id:https://orcid.org/0000-0002-9936-5549
Role:data analyst
Individual: JRN field crew
Organization:Jornada Basin LTER, New Mexico State University
Position:Jornada Basin LTER Field Crew
Address:
P.O. Box 30003; MSC 3JER New Mexico State University,
Las Cruces, NM 88003-8003 U.S.A.
Role:field data collection
Individual: Andrea Campanella
Organization:New Mexico State University, Jornada Basin LTER
Role:field data collection
Individual: James Brennan
Organization:New Mexico State University, Jornada Basin LTER
Role:field data collection
Individual: Kyle Gename
Organization:New Mexico State University, Jornada Basin LTER
Role:field data collection
Metadata Providers:
Organization:Jornada Basin LTER Program
Position:Jornada Basin LTER program
Address:
P.O. Box 30003; MSC 3JER New Mexico State University,
Las Cruces, NM 88003-8003 USA
Email Address:
jornada.lter@nmsu.edu
Web Address:
https://lter.jornada.nmsu.edu
Id:https://ror.org/05976ta47

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2013
End:
2021
Geographic Region:
Description:CSIS in Pasture 9: Bounding box for the Cross-scale Interactions Study in Pasture 9 on the Jornada Experimental Range
Bounding Coordinates:
Northern:  32.604900Southern:  32.559300
Western:  -106.848400Eastern:  -106.762000
Taxonomic Range:
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:phylum
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:order
Rank Value:Fabales
Classification:
Rank Name:family
Rank Value:Fabaceae
Classification:
Rank Name:genus
Rank Value:Prosopis
Classification:
Rank Name:specificEpithet
Rank Value:glandulosa
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:phylum
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Poaceae
Classification:
Rank Name:genus
Rank Value:Bouteloua
Classification:
Rank Name:specificEpithet
Rank Value:eriopoda
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:phylum
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Poaceae
Classification:
Rank Name:genus
Rank Value:Sporobolus
Classification:
Rank Name:specificEpithet
Rank Value:flexuosus

Project

Parent Project Information:

Title:Jornada Basin LTER - Cross-scale Interactions Study
Personnel:
Individual:Dr. Debra Peters
Address:
P.O. Box 30003, MSC 3JER,
New Mexico State University,
Las Cruces, NM 88003-8003 United States
Phone:
575-646-5889 (voice)
Role:Principal Investigator
Individual:Dr. Brandon Bestelmeyer
Address:
P.O. Box 30003, MSC 3JER,
New Mexico State University,
Las Cruces, NM 88003-8003 United States
Phone:
575-646-4842 (voice)
Email Address:
brandon.bestelmeyer@usda.gov
Role:Research Leader
Individual:Dr. Niall Hanan
Address:
P.O. Box 30003, MSC 3JER,
New Mexico State University,
Las Cruces, NM 88003-8003 United States
Phone:
575-646-3335 (voice)
Role:Principal Investigator
Funding:

The Jornada LTER program has been continuously funded by the U.S. National Science Foundation since 1982 (Current NSF award: DEB-2025166). Additional funding was provided by the USDA-ARS Jornada Experimental Range (CRIS# 3050-11210-009-00D) and the USDA-ARS SCINet Big Data and AI Center of Excellence Postdoctoral Fellowship.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:DEB 2025166
Title:LTER: Long –Term Research at the Jornada Basin (LTER VII)
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025166
Additional Award Information:
Funder:National Science Foundation
Number:DEB 1832194
Title:Prior award: LTER: Long - Term Research at the Jornada Basin (LTER VII)
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832194
Additional Award Information:
Funder:National Science Foundation
Number:DEB 1235828
Title:Prior award: LTER: Long-Term Research at the Jornada Basin (LTER-VI)
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1235828
Additional Award Information:
Funder:National Science Foundation
Number:DEB 0618210
Title:Prior award: Jornada Basin LTER V: Landscape Linkages in Arid and Semiarid Ecosystems
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=0618210
Additional Award Information:
Funder:National Science Foundation
Number:DEB 0080412
Title:Prior award: LTER IV: Jornada Basin: Linkages in Semi-arid Landscapes
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=0080412
Additional Award Information:
Funder:National Science Foundation
Number:DEB 9411971
Title:Prior award: LTER: The Chihuahuan Desert (The Jornada LTER III Consortium)
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=9411971
Additional Award Information:
Funder:National Science Foundation
Number:DEB 8811160, 9240261
Title:Prior award: Interactions in Time and Space Variability in a Chihuahuan Desert Ecosystem: Jornada LTER (II)
Additional Award Information:
Funder:National Science Foundation
Number:DEB 8114466, 8612106
Title:Prior award: Interactions of Time and Space Variability in a Chihuahuan Desert Ecosystem in New Mexico (Jornada LTER I)

Maintenance

Maintenance:
Description:complete
Frequency:asNeeded
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'cm'
        |     |     |     |  \___attribute 'id' = 'centimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.01'
        |     |     |     |  \___attribute 'name' = 'centimeter'
        |     |     |     |  \___attribute 'parentSI' = 'meter'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '.01 meters'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'cm²'
        |     |     |     |  \___attribute 'id' = 'centimeterSquared'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0001'
        |     |     |     |  \___attribute 'name' = 'centimeterSquared'
        |     |     |     |  \___attribute 'parentSI' = 'meterSquared'
        |     |     |     |  \___attribute 'unitType' = 'area'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'square centimeter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'number'
        |     |     |     |  \___attribute 'name' = 'number'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'a quantity or amount'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = '%'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'parentSI' = 'dimensionless'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'percent, one part per hundred parts. a decimal ratio multipled by 100'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

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