Journal article
Hydrologic connectivity drives extremes and high variability in vegetation productivity across Australian arid and semi-arid ecosystems
AJ Norton, PJ Rayner, YP Wang, NC Parazoo, L Baskaran, PR Briggs, V Haverd, R Doughty
Remote Sensing of Environment: an interdisciplinary journal | Elsevier | Published : 2022
Abstract
Vegetation growth drives many of the interactions between the land surface and atmosphere including the uptake of carbon through photosynthesis and loss of water through transpiration. In arid and semi-arid regions water is the dominant driver of vegetation growth. However, few studies consider the fact that water can move laterally across the landscape as runoff via streams and floodplains, termed hydrologic connectivity. Using multiple observations alongside models and a hydromorphology dataset for Australia, we examine how ecosystems with high hydrologic connectivity differ in their vegetation response to water availability, soil properties, and interannual variability and extremes in veg..
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Awarded by National Aeronautics and Space Administration
Funding Acknowledgements
A portion of this research was supported by the Jet Propulsion Lab-oratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Copyright 2021. All rights reserved. Alexander Norton, Nicholas Parazoo, and Latha Bas-karan were all supported by the Jet Propulsion Laboratory, California Institute of Technology. Alexander Norton was also partly supported by an Australian Postgraduate Award provided by the Australian Government and a CSIRO OCE Scholarship. Peter Rayner was supported by the School of Earth Science, University of Melbourne, and the Climate and Energy College. Ying-Ping Wang was supported by the National Environmental Science Program (climate change and earth system science) . The contributions of Vanessa Haverd and Peter Briggs were funded by National Environmental Science Program Project 5.6 - The carbon budget of continental Australia and possible future trajectories. RD is supported by NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program (NNN12AA01C) and OCO-2/3 Science Team (80NSSC18K0895) .