Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/35/563159f223739&rft.title=Photosynthetically active radiation, canopy gap fraction, and leaf area index at the EucFACE&rft.identifier=10.4225/35/563159f223739&rft.publisher=Western Sydney University, Australia&rft.description=Data for the paper in Global Change Biology: Remko A. Duursma, Teresa E. Gimeno, Matthias M. Boer, Kristine Y. Crous, Mark G. Tjoelker, David S. Ellsworth, Canopy leaf area of a mature evergreen Eucalyptus woodland does not respond to elevated atmospheric [CO2] but tracks water availability. All data files are the result of extensive processing of raw data from automated sensors at the EucFACE, most notably the PAR (photosynthetically active radiation) sensors above and below the canopy. Also included are averages of air temperature, soil water content, and other radiation measures at EucFACE or nearby sites. This package includes the following files (filename keyword supplied only): GAPFRACLAI: daily canopy gap fraction and leaf area index for the six EucFACE rings. This file can be constructed from processing of the other files included. LEAFLITTER: dry weight and area of (approx.) monthly collection of litter in eight locations in each FACE ring. PARAGG: 30min averages of radiation data (PAR below and above the canopy, diffuse radiation, etc.) PHOTOGAPFRAC: canopy gap fraction estimated from analysis of canopy photos DAILYMET: simple daily averages of common meteorological variables SOLVARS: solar angle, day length, time of sunset and sunrise in Richmond, NSW. &rft.creator=Doctor Remko Duursma&rft.creator=Remko Duursma&rft.date=2015&rft.relation=10.1111/gcb.13151&rft.coverage=150.7380362,-33.61643299&rft.coverage=150.7382066,-33.61902662&rft_rights=Copyright University of Western Sydney&rft_rights=CC BY: Attribution 3.0 AU http://creativecommons.org/licenses/by/3.0/au&rft_subject=Leaf area index&rft_subject=FACE&rft_subject=Phenology&rft_subject=Litter Production&rft_subject=Elevated CO2&rft_subject=Eucalyptus&rft_subject=Ecological Impacts of Climate Change&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=Ecological Physiology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft.type=dataset&rft.language=English Access the data

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CC-BY

CC BY: Attribution 3.0 AU
http://creativecommons.org/licenses/by/3.0/au

Copyright University of Western Sydney

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Dataset is available via the Western Sydney University ResearchDirect record under Attachments section
http://handle.westernsydney.edu.au:8081/1959.7/hiev_118

Contact Information

Western Sydney University

Full description

Data for the paper in Global Change Biology: Remko A. Duursma, Teresa E. Gimeno, Matthias M. Boer, Kristine Y. Crous, Mark G. Tjoelker, David S. Ellsworth, Canopy leaf area of a mature evergreen Eucalyptus woodland does not respond to elevated atmospheric [CO2] but tracks water availability.

All data files are the result of extensive processing of raw data from automated sensors at the EucFACE, most notably the PAR (photosynthetically active radiation) sensors above and below the canopy. Also included are averages of air temperature, soil water content, and other radiation measures at EucFACE or nearby sites.

This package includes the following files (filename keyword supplied only):

  • GAPFRACLAI: daily canopy gap fraction and leaf area index for the six EucFACE rings. This file can be constructed from processing of the other files included.
  • LEAFLITTER: dry weight and area of (approx.) monthly collection of litter in eight locations in each FACE ring.
  • PARAGG: 30min averages of radiation data (PAR below and above the canopy, diffuse radiation, etc.)
  • PHOTOGAPFRAC: canopy gap fraction estimated from analysis of canopy photos
  • DAILYMET: simple daily averages of common meteorological variables
  • SOLVARS: solar angle, day length, time of sunset and sunrise in Richmond, NSW.

Data time period: 2012-10-15 to 2015-03-01

This dataset is part of a larger collection

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150.73804,-33.61643

150.7380362,-33.61643299

150.73821,-33.61903

150.7382066,-33.61902662