GROWEST PLUS: A tool for rapid assessment of seasonal growth for environmental planning and assessment

dc.contributor.authorLaughlin, Gregory P
dc.contributor.authorRanatunga, Kemachandra
dc.contributor.authorBrinkley, Timothy R
dc.contributor.authorJohnson, Ian
dc.contributor.authorHutchinson, Michael
dc.date.accessioned2015-12-08T22:26:33Z
dc.date.issued2007
dc.date.updated2015-12-08T09:12:10Z
dc.description.abstractGROWEST PLUS is a software interface, designed to run a new version of the GROWEST plant growth index simulation model, originally developed by Fitzpatrick and Nix in 1970. The GROWEST model was designed to integrate the major climatic determinants of potential plant growth at broad geographic scales, and GROWEST PLUS allows comparisons of current conditions relative to historical variability. Substantive literature demonstrates the robustness, simplicity and application of GROWEST at regional to national scales. This has led the Bureau of Rural Sciences (BRS) to use this tool as one of a suite of analyses and models in the assessment of Exceptional Circumstances drought applications. The advantage of GROWEST is its simplicity. The model synthesises well established biological responses to seasonal trends in climate. It has the advantage of few dimensions, which significantly reduces computational and processing time. GROWEST performs well with the SGS Pasture Model outputs. In fact, GROWEST's performance is encouraging given the level of simplicity in the model. GROWEST, however, trades off some processes that are important at detailed scales in order to be able to run with readily available input variables for regional scale assessments. Unaccounted processes include detailed simulation of soil moisture, soil fertility and differences between phenological responses at the plant species level. GROWEST PLUS was developed by BRS and the Centre for Resource and Environmental Studies at the Australian National University. The most significant feature of GROWEST PLUS is its ability to analyse variability in seasonal growth over time using time-series outputs from the GROWEST model. For this purpose, the GROWEST model was comprehensively upgraded to run on weekly and monthly climate data, in point or grid form, to produce weekly and monthly outputs. This will have benefit in the analyses of specific events such as drought or the characterisation of growing season reliability for natural resource management. This paper demonstrates how users can easily and intuitively run the upgraded GROWEST model through the GROWEST PLUS graphical user interface, utilising 'real time' climate data, in point or grid form, to undertake a range of spatial and temporal analyses.
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/1885/33677
dc.publisherPergamon-Elsevier Ltd
dc.sourceEnvironmental Modelling and Software
dc.subjectKeywords: Climatology; Computer simulation; Computer software; Drought; Mathematical models; Plants (botany); Exceptional circumstances; GROWEST; Pasture growth; Seasonal reliability; Interfaces (computer); climate effect; drought; environmental assessment; environ Climate; Crop growth; Drought; Exceptional circumstances; GROWEST; Modelling; Pasture growth; Seasonal reliability
dc.titleGROWEST PLUS: A tool for rapid assessment of seasonal growth for environmental planning and assessment
dc.typeJournal article
local.bibliographicCitation.lastpage1207
local.bibliographicCitation.startpage1196
local.contributor.affiliationLaughlin, Gregory P, Bureau of Rural Sciences
local.contributor.affiliationRanatunga, Kemachandra, Bureau of Rural Sciences
local.contributor.affiliationBrinkley, Timothy R, Bureau of Rural Sciences
local.contributor.affiliationJohnson, Ian, IMJ Consultants Pty Ltd
local.contributor.affiliationHutchinson, Michael, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidHutchinson, Michael, u8712402
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor070601 - Horticultural Crop Growth and Development
local.identifier.ariespublicationu9205081xPUB104
local.identifier.citationvolume22
local.identifier.doi10.1016/j.envsoft.2006.06.014
local.identifier.scopusID2-s2.0-33947726723
local.type.statusPublished Version

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