Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14860
Title: The Biodiversity Forecasting Toolkit: Answering the 'how much', 'what', and 'where' of planning for biodiversity persistence
Contributor(s): Drielsma, Michael  (author); Ferrier, Simon (author); Howling, Gary (author); Manion, Glenn (author); Taylor, Subhashni  (author)orcid ; Love, Jamie  (author)
Publication Date: 2014
Open Access: Yes
DOI: 10.1016/j.ecolmodel.2013.11.028Open Access Link
Handle Link: https://hdl.handle.net/1959.11/14860
Abstract: This research reports on a new approach to conservation assessment that seeks to extend the target-based model traditionally underpinning systematic conservation planning. The Biodiversity Forecasting Tool (BFT) helps answer three important questions relating to regional biodiversity persistence: 'how much' biodiversity can persist for a given land-management scenario; 'what' habitats to focus conservation effort on; and 'where' in the landscape to undertake conservation action. The tool integrates fine-scaled variability in vegetation composition and structure with spatial context, which is critical for ensuring the viability of populations. Thus, a raster data framework is employed which deems each location or gridcell in a landscape as contributing to biodiversity benefits to various degrees. At its simplest, just two spatial inputs, vegetation community types and vegetation condition, are needed. Drawing on, as a case-study, a broad-scale biodiversity assessment for NSW, Australia, this paper reports on the successful application of the BFT tool for a variety of functions ranging from interactive scenario evaluation through to conservation benefits mapping.
Publication Type: Journal Article
Source of Publication: Ecological Modelling, v.274, p. 80-91
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 0304-3800
1872-7026
Field of Research (FOR): 050202 Conservation and Biodiversity
Socio-Economic Outcome Codes: 960805 Flora, Fauna and Biodiversity at Regional or Larger Scales
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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