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Title: Foliar element determination from field survey in association with the National Ecological Observatory Network Airborne Observation Platform survey, East River, Colorado 2018

Abstract

The purpose of this dataset is to support research aimed at understanding the coupling between hydrologic and biogeochemical processes at watershed scale, particularly the relationship between aboveground vegetation characteristics and subsurface soil properties. These data are intended to inform and calibrate models of catchment-scale biogeochemical fluxes, including rock-derived nutrient cycling, and they were procured to address the following questions: (1) What is the distribution of vegetation characteristics across the study catchments? (2) Are foliar concentrations of rock-derived nutrients related to underlying lithology and soil availability, or are these signals masked by biotic nutrient cycling and retention processes?This data package contains foliar elemental data collected during the 2018 National Ecological Observatory Networks (NEON) Airborne Observation Platform (AOP) imaging spectroscopy and lidar surveys in Gunnison County, Colorado. Folair samples were collected across the East River, Washington Gulch, Slate River, and Coal Creek watersheds and contain a mixture of vegetation including meadow, shrub, and tree foliar samples. The samples were processed using aqua regia digestion and analyzed for elemental determination on inductively coupled plasma optical emission spectrometry (ICP-OES).The data package includes: (1) raw foliar elemental data files in CSV and PDF formats, (2) quality control certificates in PDF format, and (3) an aggregatedmore » CSV file containing all elemental measurements compiled across samples. No specialized software is required to access or use these files.« less

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo
  1. University of Southern California
  2. NASA Jet Propulsion Laboratory (JPL)
  3. Rocky Mountain Biological Laboratory
  4. Stanford University
  5. U.S. Environmental Protection Agency
  6. San Jose State University
Publication Date:
DOE Contract Number:  
AC02-05CH11231
Research Org.:
EAGER SitS: Can remotely imaged vegetation characteristics provide a window into soil nutrient cycles?
Sponsoring Org.:
NSF EAR Postdoctoral Fellowship, Chadwick, ID: 1725788; National Science Foundation under NSF-1841547; U.S. DOE > Office of Science > Biological and Environmental Research (BER); LBNL SFA 2.0
Subject:
2018 National Ecological Observatory Network Campaign; 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > BIOSPHERE > VEGETATION > MAJOR AND TRACE ELEMENTS; EARTH SCIENCE > BIOSPHERE > VEGETATION > NUTRIENTS; Foliar Elements; Leaf Chemistry; NEON Campaign 2018; National Ecological Observatory Network
OSTI Identifier:
2574425
DOI:
https://doi.org/10.15485/2574425

Citation Formats

Grant, Kathleen, Chadwick, K. Dana, Henderson, Amanda, Scott, Andea, McCormick, Maeve, Pierce, Samuel, Hastings Porro, Maceo, and Maher, Katharine. Foliar element determination from field survey in association with the National Ecological Observatory Network Airborne Observation Platform survey, East River, Colorado 2018. United States: N. p., 2024. Web. doi:10.15485/2574425.
Grant, Kathleen, Chadwick, K. Dana, Henderson, Amanda, Scott, Andea, McCormick, Maeve, Pierce, Samuel, Hastings Porro, Maceo, & Maher, Katharine. Foliar element determination from field survey in association with the National Ecological Observatory Network Airborne Observation Platform survey, East River, Colorado 2018. United States. doi:https://doi.org/10.15485/2574425
Grant, Kathleen, Chadwick, K. Dana, Henderson, Amanda, Scott, Andea, McCormick, Maeve, Pierce, Samuel, Hastings Porro, Maceo, and Maher, Katharine. 2024. "Foliar element determination from field survey in association with the National Ecological Observatory Network Airborne Observation Platform survey, East River, Colorado 2018". United States. doi:https://doi.org/10.15485/2574425. https://www.osti.gov/servlets/purl/2574425. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2574425,
title = {Foliar element determination from field survey in association with the National Ecological Observatory Network Airborne Observation Platform survey, East River, Colorado 2018},
author = {Grant, Kathleen and Chadwick, K. Dana and Henderson, Amanda and Scott, Andea and McCormick, Maeve and Pierce, Samuel and Hastings Porro, Maceo and Maher, Katharine},
abstractNote = {The purpose of this dataset is to support research aimed at understanding the coupling between hydrologic and biogeochemical processes at watershed scale, particularly the relationship between aboveground vegetation characteristics and subsurface soil properties. These data are intended to inform and calibrate models of catchment-scale biogeochemical fluxes, including rock-derived nutrient cycling, and they were procured to address the following questions: (1) What is the distribution of vegetation characteristics across the study catchments? (2) Are foliar concentrations of rock-derived nutrients related to underlying lithology and soil availability, or are these signals masked by biotic nutrient cycling and retention processes?This data package contains foliar elemental data collected during the 2018 National Ecological Observatory Networks (NEON) Airborne Observation Platform (AOP) imaging spectroscopy and lidar surveys in Gunnison County, Colorado. Folair samples were collected across the East River, Washington Gulch, Slate River, and Coal Creek watersheds and contain a mixture of vegetation including meadow, shrub, and tree foliar samples. The samples were processed using aqua regia digestion and analyzed for elemental determination on inductively coupled plasma optical emission spectrometry (ICP-OES).The data package includes: (1) raw foliar elemental data files in CSV and PDF formats, (2) quality control certificates in PDF format, and (3) an aggregated CSV file containing all elemental measurements compiled across samples. No specialized software is required to access or use these files.},
doi = {10.15485/2574425},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}