Seasonal patterns of forest canopy and their relevance for the global carbon cycle
dc.contributor.advisor
Mencuccini, Maurizio
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dc.contributor.advisor
Grace, John
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dc.contributor.advisor
Nichol, Caroline
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dc.contributor.author
Mizunuma, Toshie
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dc.contributor.sponsor
other
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dc.date.accessioned
2015-06-19T14:49:56Z
dc.date.available
2015-06-19T14:49:56Z
dc.date.issued
2015-06-30
dc.description.abstract
In the terrestrial biosphere forests have a significant role as a carbon sink. Under
recent climate change, it is increasingly important to detect seasonal change or
‘phenology’ that can influence the global carbon cycle. Monitoring canopies using
camera systems has offered an inexpensive means to quantify the phenological
changes. However, the reliability is not well known. In order to examine the
usefulness of cameras to observe forest phenology, we analysed canopy images taken
in two deciduous forests in Japan and England and investigate which colour index is
best for tracking forest phenology and predict carbon uptake by trees. A camera test
using model leaves under controlled conditions has also carried out to examine
sensitivity of colour indices for discriminating leaf colours. The main findings of the
present study are: 1) Time courses of colour indices derived from images taken in
deciduous forests showed typical patterns throughout the growing season. Although
cameras are not calibrated instrument, analysis of images allowed detecting the
timings of phenological events such as leaf onset and leaf fall; 2) The strength of the
green channel (or chromatic coordinate of green) was useful to observe leaf
expansion as well as damage by spring late frost. However, the results of the camera
test using model leaves suggested that this index was not sufficiently sensitive to
detect leaf senescence. Amongst colour indices, Hue was the most robust metric for
different cameras, different atmospheric conditions and different distances. The test
also revealed Hue was useful to track nitrogen status of leaves; 3) Modelling results
using a light use efficiency model for GPP showed a strong relationship between
GPP and Hue, which was stronger than the relationships using alternative traditional
indices.
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dc.identifier.uri
http://hdl.handle.net/1842/10446
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Mizunuma, T., Koyanagi, T., Mencuccini, M., Nasahara, K.N., Wingate, L. & Grace, J. (2011) The comparison of several colour indices for the photographic recording of canopy phenology of Fagus crenata Blume in eastern Japan. Plant Ecology & Diversity, 4, 67-77.
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dc.relation.hasversion
Mizunuma, T., Wilkinson, M., Eaton, E.L., Mencuccini, M., Morison, J.I.L. & Grace, J. (2013) The relationship between carbon dioxide uptake and canopy colour from two camera systems in a deciduous forest in southern England. Functional Ecology, 27, 196-207.
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dc.relation.hasversion
Vilhar, U., Beuker, E., Mizunuma, T., Skudnik, M., Lebourgeois, F., Soudani, K. & Wilkinson, M. (2013) Tree Phenology. Forest Monitoring: Methods for Terrestrial Investigations in Europe with an Overview of North America and Asia (eds M. Ferretti & R. Fischer). Elsevier, Amsterdam.
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dc.rights
Attribution-NonCommercial-ShareAlike 4.0 International
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject
carbon flux
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dc.subject
colour index
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dc.subject
digital image
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dc.subject
deciduous broadleaved forest
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dc.subject
HSL
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dc.subject
hue
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dc.subject
leaf phenology
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dc.subject
Munsell Colour Chart
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dc.subject
Quercus robur
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dc.subject
RGB
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dc.subject
vegetation index
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dc.subject
carbon flux
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dc.subject
colour index
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dc.subject
digital image
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dc.subject
deciduous broadleaved forest
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dc.subject
HSL
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dc.subject
hue
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dc.subject
leaf phenology
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dc.subject
Munsell Colour Chart
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dc.subject
Quercus robur
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dc.subject
RGB
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dc.subject
vegetation index
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dc.subject
Global Change Research Institute
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dc.title
Seasonal patterns of forest canopy and their relevance for the global carbon cycle
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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