Pudmenzky, Christa and King, Rachel 
ORCID: https://orcid.org/0000-0002-3302-0919 and Butler, Harry
(2015)
Broad scale mapping of vegetation cover across Australia from rainfall and temperature data.
Journal of Arid Environments, 120.
pp. 55-62.
ISSN 0140-1963
Abstract
Broad-scale estimation of spatial changes in vegetation cover is of value in many areas of research and land-use management. There is currently no simple method available to estimate vegetation cover at the broad scale (above the level of individual vegetation-type mapping or modelling) that does not rely, at least in part, on remote sensing data. This means that for periods where this data is unavailable (pre 1980 and future forecasting) estimates of vegetation cover are also unavailable. De Martonne's simple Aridity Index (AI) requires only rainfall and temperature data however it is not widely applicable and regularly
fails in arid and semi-arid regions. The Climate Aridity Vegetation Index (CAVI) has been developed in an attempt to overcome this limitation while retaining simplicity in the data required and in the calculation.
The CAVI is based on readily available rainfall and temperature data and has been applied and tested across 12 years of monthly data across Australia. The CAVI estimates have then been validated by comparing them to the corresponding fractional cover satellite data. Performance is discussed in the context of using vegetation cover estimates in wind erosion research. The results were particularly encouraging in arid to semi-arid regions and can potentially be used as a surrogate for historical broad
scale vegetation cover and possibly future projections.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © 2015 Elsevier Ltd. Permanent restricted access to published version due to publisher copyright policy. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Date Deposited: | 11 May 2015 04:04 |
| Last Modified: | 29 Jun 2016 04:17 |
| Uncontrolled Keywords: | climate variability; vegetation cover; arid and semi-arid modelling; rainfall; temperature |
| Fields of Research (2008): | 05 Environmental Sciences > 0502 Environmental Science and Management > 050209 Natural Resource Management 04 Earth Sciences > 0401 Atmospheric Sciences > 040105 Climatology (excl.Climate Change Processes) 05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring |
| Fields of Research (2020): | 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410406 Natural resource management 37 EARTH SCIENCES > 3702 Climate change science > 370202 Climatology 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management |
| Socio-Economic Objectives (2008): | D Environment > 96 Environment > 9602 Atmosphere and Weather > 960203 Weather |
| Identification Number or DOI: | https://doi.org/10.1016/j.jaridenv.2015.04.010 |
| URI: | http://eprints.usq.edu.au/id/eprint/27168 |
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