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Title: Foliar functional traits from imaging spectroscopy across biomes in eastern North America

Abstract

Summary Foliar functional traits are widely used to characterize leaf and canopy properties that drive ecosystem processes and to infer physiological processes in Earth system models. Imaging spectroscopy provides great potential to map foliar traits to characterize continuous functional variation and diversity, but few studies have demonstrated consistent methods for mapping multiple traits across biomes. With airborne imaging spectroscopy data and field data from 19 sites, we developed trait models using partial least squares regression, and mapped 26 foliar traits in seven NEON (National Ecological Observatory Network) ecoregions (domains) including temperate and subtropical forests and grasslands of eastern North America. Model validation accuracy varied among traits (normalized root mean squared error, 9.1–19.4%; coefficient of determination, 0.28–0.82), with phenolic concentration, leaf mass per area and equivalent water thickness performing best across domains. Across all trait maps, 90% of vegetated pixels had reasonable values for one trait, and 28–81% provided high confidence for multiple traits concurrently. Maps of 26 traits and their uncertainties for eastern US NEON sites are available for download, and are being expanded to the western United States and tundra/boreal zone. These data enable better understanding of trait variations and relationships over large areas, calibration of ecosystem models, andmore » assessment of continental‐scale functional diversity.« less

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [1]; ORCiD logo [1]
+ Show Author Affiliations
  1. Department of Forest and Wildlife Ecology University of Wisconsin‐Madison 1630 Linden Drive Madison WI 53706 USA
  2. Department of Agricultural and Biological Engineering University of Florida 1741 Museum Rd Gainesville FL 32611 USA
  3. Departments of Entomology and Forestry and Natural Resources and Center for Plant Biology Purdue University 901 W. State St West Lafayette IN 47907 USA
  4. Department of Ecology, Evolution and Behavior University of Minnesota Saint Paul MN 55108 USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1634258
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
New Phytologist
Additional Journal Information:
Journal Name: New Phytologist Journal Volume: 228 Journal Issue: 2; Journal ID: ISSN 0028-646X
Publisher:
Wiley-Blackwell
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Wang, Zhihui, Chlus, Adam, Geygan, Ryan, Ye, Zhiwei, Zheng, Ting, Singh, Aditya, Couture, John J., Cavender‐Bares, Jeannine, Kruger, Eric L., and Townsend, Philip A. Foliar functional traits from imaging spectroscopy across biomes in eastern North America. United Kingdom: N. p., 2020. Web. doi:10.1111/nph.16711.
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Wang, Zhihui, Chlus, Adam, Geygan, Ryan, Ye, Zhiwei, Zheng, Ting, Singh, Aditya, Couture, John J., Cavender‐Bares, Jeannine, Kruger, Eric L., & Townsend, Philip A. Foliar functional traits from imaging spectroscopy across biomes in eastern North America. United Kingdom. https://doi.org/10.1111/nph.16711
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Wang, Zhihui, Chlus, Adam, Geygan, Ryan, Ye, Zhiwei, Zheng, Ting, Singh, Aditya, Couture, John J., Cavender‐Bares, Jeannine, Kruger, Eric L., and Townsend, Philip A. Tue . "Foliar functional traits from imaging spectroscopy across biomes in eastern North America". United Kingdom. https://doi.org/10.1111/nph.16711.
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@article{osti_1634258,
title = {Foliar functional traits from imaging spectroscopy across biomes in eastern North America},
author = {Wang, Zhihui and Chlus, Adam and Geygan, Ryan and Ye, Zhiwei and Zheng, Ting and Singh, Aditya and Couture, John J. and Cavender‐Bares, Jeannine and Kruger, Eric L. and Townsend, Philip A.},
abstractNote = {Summary Foliar functional traits are widely used to characterize leaf and canopy properties that drive ecosystem processes and to infer physiological processes in Earth system models. Imaging spectroscopy provides great potential to map foliar traits to characterize continuous functional variation and diversity, but few studies have demonstrated consistent methods for mapping multiple traits across biomes. With airborne imaging spectroscopy data and field data from 19 sites, we developed trait models using partial least squares regression, and mapped 26 foliar traits in seven NEON (National Ecological Observatory Network) ecoregions (domains) including temperate and subtropical forests and grasslands of eastern North America. Model validation accuracy varied among traits (normalized root mean squared error, 9.1–19.4%; coefficient of determination, 0.28–0.82), with phenolic concentration, leaf mass per area and equivalent water thickness performing best across domains. Across all trait maps, 90% of vegetated pixels had reasonable values for one trait, and 28–81% provided high confidence for multiple traits concurrently. Maps of 26 traits and their uncertainties for eastern US NEON sites are available for download, and are being expanded to the western United States and tundra/boreal zone. These data enable better understanding of trait variations and relationships over large areas, calibration of ecosystem models, and assessment of continental‐scale functional diversity.},
doi = {10.1111/nph.16711},
journal = {New Phytologist},
number = 2,
volume = 228,
place = {United Kingdom},
year = {Tue Jun 23 00:00:00 EDT 2020},
month = {Tue Jun 23 00:00:00 EDT 2020}
}
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https://doi.org/10.1111/nph.16711
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