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Title: Quantifying vegetation and canopy structural complexity from terrestrial Li DAR data using the forestr r package

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5]; ORCiD logo [6];  [7];  [1];
  1. Department of BiologyVirginia Commonwealth University Richmond Virginia
  2. Department of Civil, Environmental, and Geodetic EngineeringThe Ohio State University Columbus Ohio
  3. Department of Natural ResourcesUniversity of Connecticut Storrs Connecticut, Center for Environmental Sciences and EngineeringUniversity of Connecticut Storrs Connecticut
  4. Center for Environmental Sciences and EngineeringUniversity of Connecticut Storrs Connecticut
  5. Department of Civil, Environmental, and Geodetic EngineeringThe Ohio State University Columbus Ohio, Department of Forestry and Natural ResourcesPurdue University West Lafayette Indiana, Department of Environmental Resources EngineeringCollege of Environmental Science and ForestryState University of New York Syracuse New York
  6. Department of Environmental and Ecological EngineeringPurdue University West Lafayette Indiana, Department of Environmental SciencesUniversity of Virginia Charlottesville Virginia
  7. Francisco Department of BiologyUniversity of San Francisco San Francisco California
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1464572
Grant/Contract Number:  
[DE‐SC0006708; DE‐SC0007041]
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Methods in Ecology and Evolution (Online)
Additional Journal Information:
[Journal Name: Methods in Ecology and Evolution (Online) Journal Volume: 9 Journal Issue: 10]; Journal ID: ISSN 2041-210X
Publisher:
Wiley-Blackwell
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Atkins, Jeff W., Bohrer, Gil, Fahey, Robert T., Hardiman, Brady S., Morin, Timothy H., Stovall, Atticus E. L., Zimmerman, Naupaka, Gough, Christopher M., and Goslee, ed., Sarah. Quantifying vegetation and canopy structural complexity from terrestrial Li DAR data using the forestr r package. United Kingdom: N. p., 2018. Web. doi:10.1111/2041-210X.13061.
Atkins, Jeff W., Bohrer, Gil, Fahey, Robert T., Hardiman, Brady S., Morin, Timothy H., Stovall, Atticus E. L., Zimmerman, Naupaka, Gough, Christopher M., & Goslee, ed., Sarah. Quantifying vegetation and canopy structural complexity from terrestrial Li DAR data using the forestr r package. United Kingdom. doi:10.1111/2041-210X.13061.
Atkins, Jeff W., Bohrer, Gil, Fahey, Robert T., Hardiman, Brady S., Morin, Timothy H., Stovall, Atticus E. L., Zimmerman, Naupaka, Gough, Christopher M., and Goslee, ed., Sarah. Mon . "Quantifying vegetation and canopy structural complexity from terrestrial Li DAR data using the forestr r package". United Kingdom. doi:10.1111/2041-210X.13061.
@article{osti_1464572,
title = {Quantifying vegetation and canopy structural complexity from terrestrial Li DAR data using the forestr r package},
author = {Atkins, Jeff W. and Bohrer, Gil and Fahey, Robert T. and Hardiman, Brady S. and Morin, Timothy H. and Stovall, Atticus E. L. and Zimmerman, Naupaka and Gough, Christopher M. and Goslee, ed., Sarah},
abstractNote = {},
doi = {10.1111/2041-210X.13061},
journal = {Methods in Ecology and Evolution (Online)},
number = [10],
volume = [9],
place = {United Kingdom},
year = {2018},
month = {7}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1111/2041-210X.13061

Citation Metrics:
Cited by: 8 works
Citation information provided by
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