Data

Leaf Area Index Data, South-East Queensland Peri-urban SuperSite, Samford, Core 1 ha, 2014

TERN Australian SuperSite Network
Rowlings, David, Dr ; Grace, Peter, Prof
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://www.supersites.net.au/knb/metacat/supersite.288/html&rft.title=Leaf Area Index Data, South-East Queensland Peri-urban SuperSite, Samford, Core 1 ha, 2014&rft.identifier=supersite.288&rft.publisher=TERN Australian SuperSite Network&rft.description=Canopy leaf area index data were collected by David Tucker using digital cover photography (DCP) for the South East Queensland Peri-urban SuperSite Samford. Nine transects were established within the one hectare plot. A Nikon D5200 single-lens reflex camera and AF-S DX Nikkor 18-55 mmf/3.5-5.6G VR lens was used for recording all images. Camera settings Included ISO200, f8.0, exposure -1.0 and RAW format. Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange (Bréda, 2003). Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns (Walker et al. 1981). These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and as a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as DCP (digital cover photography) and DHP (digital hemispheric photography). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present. Digital Cover Photography (DCP) is recommended for medium stature (10-40 m) vegetation with simple structure. DCP was originally developed for sparse to moderately dense broadleaf forest and has also been tested in sparse savanna woodland. DCP is recommended for these vegetation types and has also been suggested for more dense forests (Pekin and MacFarlane 2009). Digital Hemispheric Photography (DHP) is recommended for short vegetation (4-8 m) e.g. low banksia woodland, complex (multi strata) and tall vegetation (> 40+ m) using images taken 20 m apart (MacFarlane et al. 2007).&rft.creator=Rowlings, David &rft.creator=Grace, Peter &rft.date=2015&rft.edition=2&rft.coverage=Samford Ecological Research Facility&rft.coverage=152.804,-27.388&rft_rights=TERN Attribution-Share Alike (TERN BY-SA) Data Licence v1.0&rft_rights=This work is licensed under TERN Attribution-Share Alike (TERN BY-SA) Data Licence v1.0. The licence lets others distribute, remix and build upon the work, even for commercial purposes, as long as they credit the original creator/s (and any other nominated parties) and licence any new creations based on the work under the same terms. All new derivative works will carry the same licence, so will also allow commercial use. http://tern.org.au/datalicence/TERN-BY-SA/1.0/&rft_subject=LAI&rft_subject=leaf area index&rft_subject=digital cover photography&rft_subject=SEQP&rft_subject=Samford&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details
Tern-by-sa

This work is licensed under TERN Attribution-Share Alike (TERN BY-SA) Data Licence v1.0. The licence lets others distribute, remix and build upon the work, even for commercial purposes, as long as they credit the original creator/s (and any other nominated parties) and licence any new creations based on the work under the same terms. All new derivative works will carry the same licence, so will also allow commercial use.
http://tern.org.au/datalicence/TERN-BY-SA/1.0/

TERN Attribution-Share Alike (TERN BY-SA) Data Licence v1.0

Access:

Other

Brief description

Canopy leaf area index data were collected by David Tucker using digital cover photography (DCP) for the South East Queensland Peri-urban SuperSite Samford. Nine transects were established within the one hectare plot. A Nikon D5200 single-lens reflex camera and AF-S DX Nikkor 18-55 mmf/3.5-5.6G VR lens was used for recording all images. Camera settings Included ISO200, f8.0, exposure -1.0 and RAW format. Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange (Bréda, 2003). Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns (Walker et al. 1981). These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and as a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as DCP (digital cover photography) and DHP (digital hemispheric photography). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present. Digital Cover Photography (DCP) is recommended for medium stature (10-40 m) vegetation with simple structure. DCP was originally developed for sparse to moderately dense broadleaf forest and has also been tested in sparse savanna woodland. DCP is recommended for these vegetation types and has also been suggested for more dense forests (Pekin and MacFarlane 2009). Digital Hemispheric Photography (DHP) is recommended for short vegetation (4-8 m) e.g. low banksia woodland, complex (multi strata) and tall vegetation (> 40+ m) using images taken 20 m apart (MacFarlane et al. 2007).

Data time period: 2014 to 2014

This dataset is part of a larger collection

Click to explore relationships graph

152.804,-27.388

152.804,-27.388

text: Samford Ecological Research Facility

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • Local : supersite.288