Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
Michael S Watt, Henning Buddenbaum, Ellen Mae C Leonardo, Honey Jane C Estarija, Horacio E Bown, Mireia Gomez-Gallego, Robin Hartley, Peter Massam, Liam Wright, Pablo J Zarco-Tejada
ISPRS Journal of Photogrammetry and Remote Sensing | Elsevier | Published : 2020
Spatial prediction of photosynthesis requires an understanding of how foliage nitrogen (N) and phosphorus (P) regulate this process and the relationship between these elements and scalable spectral proxies. Hyperspectral imagery has been used to predict important photosynthetic variables such as the maximum rate of carboxylation (Vcmax) and electron transport (Jmax). However, our understanding of how generally applicable these relationships are for plants that are limited by N and P, characterised by respective mass based ratios of N/P ≤ 10 and N/P > 10, is still incomplete as most studies assume N and P co-limit photosynthesis. Hyperspectral imagery and measurements of photosynthesis were ..View full abstract
Awarded by National Institute for Forest Products Innovation
We are grateful to Kendra Newick who assisted with the preparation of the nutrient solutions. The project was partly funded through the Resilient Forests programme, which is funded through Scion SSIF as well as the Forest Grower's Levy Trust. Funding was also received from the National Institute for Forest Products Innovation (Project Number NIF073-1819), which comprised contributions from the Australian Government, Australasian Forestry Companies and South Australian and Tasmanian State Governments.