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Estimating landholders’ probability of participating in a stewardship program, and the implications for spatial conservation priorities

Citation

Adams, VM and Pressey, RL and Stoeckl, N, Estimating landholders' probability of participating in a stewardship program, and the implications for spatial conservation priorities, PLoS One, 9, (6) Article e97941. ISSN 1932-6203 (2014) [Refereed Article]


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DOI: doi:10.1371/journal.pone.0097941

Abstract

The need to integrate social and economic factors into conservation planning has become a focus of academic discussions and has important practical implications for the implementation of conservation areas, both private and public. We conducted a survey in the Daly Catchment, Northern Territory, to inform the design and implementation of a stewardship payment program. We used a choice model to estimate the likely level of participation in two legal arrangements - conservation covenants and management agreements - based on payment level and proportion of properties required to be managed. We then spatially predicted landholders’ probability of participating at the resolution of individual properties and incorporated these predictions into conservation planning software to examine the potential for the stewardship program to meet conservation objectives. We found that the properties that were least costly, per unit area, to manage were also the least likely to participate. This highlights a tension between planning for a cost-effective program and planning for a program that targets properties with the highest probability of participation.

Item Details

Item Type:Refereed Article
Keywords:private land conservation, choice modelling, stewardship, Daly Catchment, covenant
Research Division:Environmental Sciences
Research Group:Environmental Science and Management
Research Field:Environmental Management
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management at Regional or Larger Scales
Author:Adams, VM (Dr Vanessa Adams)
ID Code:126443
Year Published:2014
Web of Science® Times Cited:13
Deposited By:Geography and Spatial Science
Deposited On:2018-06-12
Last Modified:2018-06-14
Downloads:0

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