Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14219
Title: Time-series effective habitat area (EHA) modeling using cost-benefit raster based technique
Contributor(s): Sinha, Priyakant (author); Kumar, Lalit (author)orcid ; Drielsma, Michael (author); Barrett, Tom (author)
Publication Date: 2014
DOI: 10.1016/j.ecoinf.2013.10.003
Handle Link: https://hdl.handle.net/1959.11/14219
Abstract: For successful characterization of ecological processes and prioritization of habitat networks it is necessary to describe and quantify landscape structure and connectivity. However, at landscape scale, it is highly impractical to measure and map all elements of biodiversity, and therefore, biodiversity surrogates are commonly used to represent biodiversity values. Land cover and vegetation are most often used as a biodiversity surrogate. The study investigated how land use change affects the status of the biodiversity surrogates in terms of the loss or gain of habitat (areal extent), loss of habitat condition (degradation) and habitat fragmentation. Effective habitat area (EHA) and raster based cost-benefit analysis (CBA) modeling techniques were used for the assessment of the impact of land use change scenarios on wildlife habitat as biodiversity surrogates. The modeling was carried out on time-series land cover data from 1972 to 2009 for the Liverpool Range of New South Wales (NSW). The model estimated the future condition of vegetation in each and every grid-cell in the region as a function of current condition, existing land cover, and the threatening processes. The results indicated a continuous pattern of clearing in the region, while the habitat conditions were mostly static throughout the study period. There was a decline in EHA after 1993, by 3%. Clearing was identified as the main cause of such decline during the change period.
Publication Type: Journal Article
Source of Publication: Ecological Informatics: an international journal on ecoinformatics and computational ecology, v.19, p. 16-25
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1574-9541
Field of Research (FOR): 090903 Geospatial Information Systems
090905 Photogrammetry and Remote Sensing
050104 Landscape Ecology
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
School of Science and Technology

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