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: 1872-7026
0304-3800
Fields of Research (FoR) 2008: 050202 Conservation and Biodiversity
Fields of Research (FoR) 2020: 410401 Conservation and biodiversity
Socio-Economic Objective (SEO) 2008: 960805 Flora, Fauna and Biodiversity at Regional or Larger Scales
Socio-Economic Objective (SEO) 2020: 180203 Coastal or estuarine biodiversity
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

13
checked on Dec 9, 2023

Page view(s)

1,376
checked on Dec 10, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.