J
Joe Landsberg
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 55
Citations - 5070
Joe Landsberg is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Transpiration & Canopy. The author has an hindex of 30, co-authored 55 publications receiving 4810 citations. Previous affiliations of Joe Landsberg include Australian National University.
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Journal ArticleDOI
A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning
Joe Landsberg,Richard H. Waring +1 more
TL;DR: In this article, a stand growth model, called 3-PG (Use of Physiological Principles in Predicting Growth), calculates total carbon fixed (gross primary production; PG) from utilizable, absorbed photosynthetically active radiation (φp.a.u.), obtained by correcting the photosyntically active radiation absorbed by the forest canopy for the effects of soil drought, atmospheric vapour pressure deficits and stand age.
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Net primary production of forests: a constant fraction of gross primary production?
TL;DR: The constancy of the NPP/GPP ratio supports the possibility of greatly simplifying forest growth models and provides an incentive to renew efforts to understand the environmental factors affecting partitioning of NPP above and belowground.
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Process-based models for forest ecosystem management: current state of the art and challenges for practical implementation
Annikki Mäkelä,Joe Landsberg,Alan R. Ek,Thomas E. Burk,Michael Ter-Mikaelian,Göran I. Ågren,Chadwick Dearing Oliver,Pasi Puttonen +7 more
TL;DR: It is argued that the carbon balance approach is readily applicable for projecting forest yield and productivity, and several carbon balance models for estimating stand productivity and individual tree growth and competition are reviewed.
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Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite-derived estimates of canopy photosynthetic capacity
TL;DR: In this paper, the authors applied these simplifications in a monthly time-step model driven by estimates of the fraction of light intercepted by green canopies, derived from near-infrared and red reflectances monitored from National Oceanographic and Atmospheric Administration (NOAA) weather satellites, and from equations utilising local temperature and rainfall records.
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Performance of the forest productivity model 3-PG applied to a wide range of forest types
TL;DR: In this article, the 3-PG model is used to predict stand growth in areas where trees have not been grown, i.e. the model can be used to estimate site productivity.