Estimating mixtures of leaf functional types using continental-scale satellite and climatic data
dc.contributor.author | Berry, Sandra Lee | |
dc.contributor.author | Roderick, Michael | |
dc.date.accessioned | 2015-12-13T23:27:18Z | |
dc.date.available | 2015-12-13T23:27:18Z | |
dc.date.issued | 2002 | |
dc.date.updated | 2015-12-12T09:49:50Z | |
dc.description.abstract | Aim Recent research has shown that much of the variability in leaf gas exchange and leaf longevity can be related to variations in the surface : volume ratio of leaves. The aim of this paper was to develop a theoretical framework and a practical method to extend that result to the vegetation at the continental scale. The study was conducted in Australia. We propose that vegetation is composed of a mixture of three basic leaf types, 'turgor' (T), 'mesic' (M) and 'sclerophyll' (S) leaves. Changes in the relative proportions of T, M and S leaves within a vegetation type are visualized using a ternary diagram and differences in vegetation structure are shown to be easily mapped onto the ternary diagram. We estimate the proportions of T, M and S leaves using readily available data. The total amount of PAR absorbed by the vegetation (fPAR) is estimated using continental-scale satellite observations. The total fPAR is then decomposed into that absorbed by T, M and S leaves. The relative absorption of PAR by T leaves is estimated from the temporal dynamics in the satellite signal, while the relative proportions of M and S leaves are estimated using climatic (solar radiation, rainfall) data. When the availability of light, nutrients and water were near-optimal, the vegetation was composed of predominantly M leaves. In low nutrient environments S leaves predominated. T leaves were dominant in disturbed environments. The theoretical framework is used to predict that elevated atmospheric CO2 would tend to increase the proportion of M and S leaves in an ecosystem and the resulting change means that the proportion of T leaves would decrease. In terms of the TMS scheme, this implies that elevated CO2 has the same net effect on the vegetation as a decrease in disturbance. | |
dc.identifier.issn | 1466-822X | |
dc.identifier.uri | http://hdl.handle.net/1885/93262 | |
dc.publisher | Blackwell Publishing Ltd | |
dc.source | Global Ecology and Biogeography | |
dc.subject | Keywords: carbon dioxide enrichment; community structure; functional group; light availability; nutrient availability; vegetation dynamics; water supply; carbon dioxide; gas exchange; leaf area index; satellite imagery; vegetation mapping; vegetation structure; veg Australia; Elevated CO2; Leaf functional types; Leaf surface volume ratio; PAR; Satellite observations; Vegetation dynamics; Vegetation structure | |
dc.title | Estimating mixtures of leaf functional types using continental-scale satellite and climatic data | |
dc.type | Journal article | |
local.bibliographicCitation.lastpage | 39 | |
local.bibliographicCitation.startpage | 3 | |
local.contributor.affiliation | Berry, Sandra Lee, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | Roderick, Michael, College of Medicine, Biology and Environment, ANU | |
local.contributor.authoremail | u9613353@anu.edu.au | |
local.contributor.authoruid | Berry, Sandra Lee, u8810335 | |
local.contributor.authoruid | Roderick, Michael, u9613353 | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
local.identifier.absfor | 060705 - Plant Physiology | |
local.identifier.ariespublication | MigratedxPub26654 | |
local.identifier.citationvolume | 11 | |
local.identifier.doi | 10.1046/j.1466-822X.2002.00183.x | |
local.identifier.scopusID | 2-s2.0-0036183780 | |
local.identifier.uidSubmittedBy | Migrated | |
local.type.status | Published Version |