ANDS Logo

Project promotion materials:

Data collections can be seen on:

http://researchdata.ands.org.au/ecosystem-production-in-space-and-time-episat-an-r-project-package

Software is available at:

https://github.com/belgaroo/ePiSaT-ecosystem-Production-in-Space-and-Time

Project Members:

Prof. Iain Colin Prentice (Project Manager, colin.prentice@mq.edu.au)

Bradley Evans (Developer, bradley.evans@mq.edu.au)

ANDS Contact:

Stefanie Kethers (Stefanie.Kethers@ands.org.au)

Project Status:

Completed

Productivity in Space and Time

Macquarie University

Collaborator(s): University of Technology Sydney, CSIRO

Project Description:

1. National need for information about the amount, and distribution in space and time, of gross primary production (GPP) by the diverse natural, semi-natural and agricultural ecosystems of the Australian continent.

2. Software that can interface these various data types with different models.


Research Champions:

Helen Cleugh, CSIRO CMAR

Alfredo Huete, UTS

Sara Mikaloff Fletcher, National Institute of Water and Atmospheric Research (NIWA), New Zealand

Data Type:

Input Data:
The project will integrate existing observational data streams with different spatial and temporal properties including, at a minimum: Bureau of Meteorology data on daily temperature, precipitation and solar radiation on a 0.05˚ grid; gridded remotely sensed fAPAR data, provided through the TERN AusCover facility; Geoscience Australia's recently released National Dynamic Land Cover data set; eddy covariance flux measurements of latent heat and CO2¬ exchange, provided through the TERN Ozflux facility; hydrograph data on stream flow and atmospheric CO2 concentration measurements at remote monitoring stations, made available by CMAR through the TERN eMAST facility; and atmospheric CO2 measurements provided by NIWA.

Output Data:
A gridded map of terrestrial GPP by natural, semi-natural and agricultural ecosystems across the Australian continent for the last decade.

High Level Software Functionality:

The system comprises a software infrastructure allowing any process-based ecosystem model to be interfaced with multiple data streams, and a specific GPP product which is generated in this software environment using simple (but well-founded and tested) light use efficiency and water balance models.

The immediate benefit of the software is as a hindcast and monitoring system, which can be updated and optimized perpetually. The project has addressed the national need for information about the amount, and distribution in space and time, of gross primary production (GPP) by the diverse natural, semi-natural and agricultural ecosystems of the Australian continent. GPP is the daily, monthly or annual flux of carbon from atmospheric CO2 into green plants, generated by photosynthesis. It is the foundation for all vegetation, food, fibre and bioenergy production. Reliable data on GPP, spatially and temporally resolved, are a pre-requisite for assessing Australia’s present carbon balance and the potential for increased carbon sequestration on land. Because GPP and water use by vegetation are closely coupled, GPP is also necessary information to assess the impact of vegetation and land use changes on water resources. And GPP is required for modelling land emissions of methane and nitrous oxide, the other natural greenhouse gases apart from CO2.

ANZSRC-FOR code:

050101
050102
050206