Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna. (28th February 2018)

• Record Type: Journal Article
• Authors: Moore, Caitlin E.; Beringer, Jason; Donohue, Randall J.; Evans, Bradley; Exbrayat, Jean‐François; Hutley, Lindsay B.; Tapper, Nigel J.
• Is Part Of: Global change biology. Volume 24:Number 6(2018)
• Page Start: 2530
• Page End: 2544
• Publication Date: 2018-02-28
• Subjects: carbon sequestration -- DIFFUSE model -- gross primary productivity -- MODerate resolution Imaging Spectroradiometer -- random forest -- Southern Oscillation Index; Climatic changes -- Environmental aspects -- Periodicals; Troposphere -- Environmental aspects -- Periodicals; Biodiversity conservation -- Periodicals; Eutrophication -- Periodicals; 551.5
• DOI: 10.1111/gcb.14072
• Languages: English
• ISSNs: 1354-1013

Abstract

Abstract: Tree–grass savannas are a widespread biome and are highly valued for their ecosystem services. There is a need to understand the long‐term dynamics and meteorological drivers of both tree and grass productivity separately in order to successfully manage savannas in the future. This study investigated the interannual variability (IAV) of tree and grass gross primary productivity (GPP) by combining a long‐term (15 year) eddy covariance flux record and model estimates of tree and grass GPP inferred from satellite remote sensing. On a seasonal basis, the primary drivers of tree and grass GPP were solar radiation in the wet season and soil moisture in the dry season. On an interannual basis, soil water availability had a positive effect on tree GPP and a negative effect on grass GPP. No linear trend in the tree–grass GPP ratio was observed over the 15‐year study period. However, the tree–grass GPP ratio was correlated with the modes of climate variability, namely the Southern Oscillation Index. This study has provided insight into the long‐term contributions of trees and grasses to savanna productivity, along with their respective meteorological determinants of IAV. Abstract : Tree–grass savannas are a widespread biome and are highly valued for their ecosystem services. This study investigated the interannual variability in tree and grass gross primary productivity (GPP) by combining a long‐term (15 year) eddy covariance flux record and model estimates of tree and grass GPP inferred from satellite remote sensing. Seasonal and interannual variability in tree and grass GPP was significantly correlated with water availability. Climate anomaly years were also responsible for interannual shifts in tree and grass GPP.