Socially Strategic Ecological Restoration: A Game-Theoretic Analysis Shortened: Socially Strategic Restoration

Buckley, Mark; Haddad, Brent M.

doi:10.1007/s00267-005-0165-7

Cited by 15 publications

(3 citation statements)

References 21 publications

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“…Habitat restoration may attempt to manage particular multi-species interactions, or may seek to promote growth of many threatened species [1]. Our cost function ignores feedback of a species' restoration on other biotic processes, or on economic stake-holders who incur post-restoration costs [55].…”

Section: Discussionmentioning

confidence: 99%

Restoration Ecology: Two-Sex Dynamics and Cost Minimization

et al. 2013

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We model a spatially detailed, two-sex population dynamics, to study the cost of ecological restoration. We assume that cost is proportional to the number of individuals introduced into a large habitat. We treat dispersal as homogeneous diffusion in a one-dimensional reaction-diffusion system. The local population dynamics depends on sex ratio at birth, and allows mortality rates to differ between sexes. Furthermore, local density dependence induces a strong Allee effect, implying that the initial population must be sufficiently large to avert rapid extinction. We address three different initial spatial distributions for the introduced individuals; for each we minimize the associated cost, constrained by the requirement that the species must be restored throughout the habitat. First, we consider spatially inhomogeneous, unstable stationary solutions of the model’s equations as plausible candidates for small restoration cost. Second, we use numerical simulations to find the smallest rectangular cluster, enclosing a spatially homogeneous population density, that minimizes the cost of assured restoration. Finally, by employing simulated annealing, we minimize restoration cost among all possible initial spatial distributions of females and males. For biased sex ratios, or for a significant between-sex difference in mortality, we find that sex-specific spatial distributions minimize the cost. But as long as the sex ratio maximizes the local equilibrium density for given mortality rates, a common homogeneous distribution for both sexes that spans a critical distance yields a similarly low cost.

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Section: Discussionmentioning

confidence: 99%

Restoration Ecology: Two-Sex Dynamics and Cost Minimization

et al. 2013

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“…These observations argue for a radical re-thinking in broad-scale, land-use management in much of southern Australia, one that accounts for the multiple objectives of economic productivity, social cohesion and environmental condition (Hobbs and Lambeck, 2002;Buckley and Haddad, 2006). The state of biodiversity contributions to such multi-purpose planning is relatively rudimentary (Veldkamp and Verburg, 2004).…”

Section: Introductionmentioning

confidence: 96%

The lag dæmon: Hysteresis in rebuilding landscapes and implications for biodiversity futures

Nally

2008

Journal of Environmental Management

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“…The use of this approach for solving problems of postmining area restoration has not been tested, but similar applications are available for optimization of the landscape structure. These include restoration solutions in multipurpose landscapes (Buckley & Haddad, 2006), multicriteria optimization in landscapes (Grabaum & Meyer, 1998), linear landscape element optimization (Meyer et al, 2012), design and zoning of protected areas (Busch, 2008; Lin & Li, 2016), and addressing problems of urban landscape design (Tan et al, 2015; Wang et al, 2020). Application of a genetics‐inspired algorithm and game theory model of land‐use spatial optimization with competitions between different land use types was proposed by Liu et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Stochastic evaluation of restoration procedures on postmining land areas using a game theory approach

et al. 2021

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Restoration of postmining areas is a frequently addressed topic requiring a comprehensive view. In this article, the recovery process of selected postmining spoil heap sites was evaluated using an approach based on calculation of Nash equilibrium (NE) probability distributions. Many of these sites have been allowed to recover by spontaneous succession, while on others, a variety of restoration procedures have been tested, most of them variants of the forest plantation type. The evaluation was carried out on selected data from each site that reflects four factors: the richness of the vegetation cover, the amount of biomass as soil macrofauna per unit area, the forestry yield, and the attractiveness for recreation use. The analysis was based on permuted game configurations in which these factors were treated as competing entities, adversaries that were differentially successful in each location depending on the conditions of the recovery procedure used. The game strategies that the factors exhibited as theoretically interacting entities had no primary information content, which meant that they could be treated stochastically. The result was a distribution of the NE probability at each location. Considering the fact that this result reflected the degree of optimality of the included factors, the calculation could be considered as a specific type of multicriteria evaluation, which was practically applicable and provided unambiguous results. The NE probability in sites restored by deciduous tree stands was higher, which was therefore assumed to correspond to higher stability.

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Socially Strategic Ecological Restoration: A Game-Theoretic Analysis Shortened: Socially Strategic Restoration

Cited by 15 publications

References 21 publications

Restoration Ecology: Two-Sex Dynamics and Cost Minimization

Restoration Ecology: Two-Sex Dynamics and Cost Minimization

The lag dæmon: Hysteresis in rebuilding landscapes and implications for biodiversity futures

Stochastic evaluation of restoration procedures on postmining land areas using a game theory approach

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