Articles | Volume 13, issue 17
https://doi.org/10.5194/bg-13-5085-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-5085-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography
Caitlin E. Moore
CORRESPONDING AUTHOR
School of Earth, Atmosphere and Environment, Monash University,
Clayton, VIC 3800, Australia
Genomic Ecology of Global Change, Carl R. Woese Institute for
Genomic Biology, University of Illinois, Urbana, IL 61801, USA
Tim Brown
Research School of Biology, Plant Sciences, Australian National
University, Acton, ACT 0200 Australia
Trevor F. Keenan
Department of Biological Sciences, Macquarie University, North Ryde
NSW 2109, Australia
Lawrence Berkeley National Lab., 1 Cyclotron Road, Berkeley, CA 94720, USA
Remko A. Duursma
Hawkesbury Institute for the Environment, University of Western
Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia
Albert I. J. M. van Dijk
Fenner School of Environment & Society, The Australian National
University, Acton, ACT 2601, Australia
Jason Beringer
School of Earth and Environment, University of Western Australia,
Crawley 6009, WA, Understory Australia
Darius Culvenor
Environmental Sensing Systems, 16 Mawby Road, Bentleigh East, VIC 3165, Australia
Bradley Evans
Department of Environmental Sciences, The University of Sydney,
Eveleigh, NSW, Australia
Terrestrial Ecosystem Research Network Ecosystem Modelling and
Scaling Infrastructure, The University of Sydney, Eveleigh, NSW, Australia
Alfredo Huete
Plant Functional Biology and Climate Change Cluster, University of
Technology Sydney, Broadway, NSW, Australia
Lindsay B. Hutley
School of Environment, Research Institute for the Environment and
Livelihoods, Charles Darwin University, Casuarina, NT 0909, Australia
Stefan Maier
Maitec, P.O. Box U19, Charles Darwin University, Darwin, NT 0815,
Australia
Natalia Restrepo-Coupe
Plant Functional Biology and Climate Change Cluster, University of
Technology Sydney, Broadway, NSW, Australia
Oliver Sonnentag
Département de Géographie, Université de Montréal,
Montréal, QC H3C 3J7, Canada
Alison Specht
Geography, Planning and Environmental Management, The University
of Queensland, St. Lucia, QLD 4072, Australia
Centre of Analysis and Synthesis of Biodiversity, Domaine de Petit
Arbois, Immeuble Henri Poincaré, Rue Louis Philibert, Aix-en-Provence, France
Jeffrey R. Taylor
Institute of Technology Campus, Nova Scotia College System,
Halifax, NS B3K 2T3, Canada
Eva van Gorsel
CSIRO, Ocean and Atmosphere Flagship, Yarralumla, ACT 2601,
Australia
Michael J. Liddell
College of Science, Technology and Engineering, James Cook
University, Cairns, QLD 4878, Australia
Data sets
Howard Springs OzFlux tower site OzFlux Beringer, J. http://dx.doi.org/102.100.100/14234
Whroo OzFlux tower site OzFlux Beringer, J. http://dx.doi.org/102.100.100/14232
Short summary
Australian vegetation phenology is highly variable due to the diversity of ecosystems on the continent. We explore continental-scale variability using satellite remote sensing by broadly classifying areas as seasonal, non-seasonal, or irregularly seasonal. We also examine ecosystem-scale phenology using phenocams and show that some broadly non-seasonal ecosystems do display phenological variability. Overall, phenocams are useful for understanding ecosystem-scale Australian vegetation phenology.
Australian vegetation phenology is highly variable due to the diversity of ecosystems on the...
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