Optimal restoration of altered habitats

Mark Lethbridge; Michael Westphal; Hugh Possingham; Megan Harper; Nicholas Souter; Nicole Anderson

doi:10.1016/j.envsoft.2009.11.013

Optimal restoration of altered habitats

Mark Lethbridge, Michael Westphal, Hugh Possingham, Megan Harper, Nicholas Souter, Nicole Anderson

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

We describe a new conservation decision support tool: 'Optimal Restoration of Altered Habitats' (OPRAH). OPRAH combines species landscape configuration preferences and habitat quality information to optimally select habitat restoration priorities for single or multiple species. OPRAH uses a simulated annealing algorithm and information about extant native vegetation, land use and rehabilitation costs, to find solutions to non-linear landscape-scale problems. The landscape is divided into planning units, some of which represent native vegetation, while others can be restored for a given budget. A habitat restoration problem for declining woodland bird species is demonstrated as a case study.

Original language	English
Pages (from-to)	737-746
Number of pages	10
Journal	Environmental Modelling and Software
Volume	25
Issue number	6
DOIs	https://doi.org/10.1016/j.envsoft.2009.11.013
Publication status	Published - Jun 2010

Keywords

Conservation planning
Habitat quality
Landscape metrics
Optimization
Restoration

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.envsoft.2009.11.013

Cite this

@article{c8e9c6ce9dca43849846d081732f8941,

title = "Optimal restoration of altered habitats",

abstract = "We describe a new conservation decision support tool: 'Optimal Restoration of Altered Habitats' (OPRAH). OPRAH combines species landscape configuration preferences and habitat quality information to optimally select habitat restoration priorities for single or multiple species. OPRAH uses a simulated annealing algorithm and information about extant native vegetation, land use and rehabilitation costs, to find solutions to non-linear landscape-scale problems. The landscape is divided into planning units, some of which represent native vegetation, while others can be restored for a given budget. A habitat restoration problem for declining woodland bird species is demonstrated as a case study.",

keywords = "Conservation planning, Habitat quality, Landscape metrics, Optimization, Restoration",

author = "Mark Lethbridge and Michael Westphal and Hugh Possingham and Megan Harper and Nicholas Souter and Nicole Anderson",

year = "2010",

month = jun,

doi = "10.1016/j.envsoft.2009.11.013",

language = "English",

volume = "25",

pages = "737--746",

journal = "Environmental Modelling and Software",

issn = "1364-8152",

publisher = "Elsevier",

number = "6",

}

TY - JOUR

T1 - Optimal restoration of altered habitats

AU - Lethbridge, Mark

AU - Westphal, Michael

AU - Possingham, Hugh

AU - Harper, Megan

AU - Souter, Nicholas

AU - Anderson, Nicole

PY - 2010/6

Y1 - 2010/6

N2 - We describe a new conservation decision support tool: 'Optimal Restoration of Altered Habitats' (OPRAH). OPRAH combines species landscape configuration preferences and habitat quality information to optimally select habitat restoration priorities for single or multiple species. OPRAH uses a simulated annealing algorithm and information about extant native vegetation, land use and rehabilitation costs, to find solutions to non-linear landscape-scale problems. The landscape is divided into planning units, some of which represent native vegetation, while others can be restored for a given budget. A habitat restoration problem for declining woodland bird species is demonstrated as a case study.

AB - We describe a new conservation decision support tool: 'Optimal Restoration of Altered Habitats' (OPRAH). OPRAH combines species landscape configuration preferences and habitat quality information to optimally select habitat restoration priorities for single or multiple species. OPRAH uses a simulated annealing algorithm and information about extant native vegetation, land use and rehabilitation costs, to find solutions to non-linear landscape-scale problems. The landscape is divided into planning units, some of which represent native vegetation, while others can be restored for a given budget. A habitat restoration problem for declining woodland bird species is demonstrated as a case study.

KW - Conservation planning

KW - Habitat quality

KW - Landscape metrics

KW - Optimization

KW - Restoration

UR - http://www.scopus.com/inward/record.url?scp=76749144158&partnerID=8YFLogxK

U2 - 10.1016/j.envsoft.2009.11.013

DO - 10.1016/j.envsoft.2009.11.013

M3 - Article

SN - 1364-8152

VL - 25

SP - 737

EP - 746

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

IS - 6

ER -

Optimal restoration of altered habitats

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this