Reserve selection as a maximal covering location problem

Church, Richard L.; Stoms, David M.; Davis, Frank W.

doi:10.1016/0006-3207(95)00102-6

Cited by 405 publications

(246 citation statements)

References 23 publications

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“…An example using real data is useful both to illustrate how typical species and probability of development data integrate into an analysis of optimal dynamic reserve design and as an empirical trial of the theory presented above. We adapt and analyze the problem posed by Church et al (1996), where Gap Analysis data are used to design a reserve for 333 native vertebrate species across 280 sites throughout southwestern California 1 . The sites are United States Geological Survey 7.5' quadrangles, and are typically 16000 hectares, though some coastal sites contain a smaller land area.…”

Section: Data From Californiamentioning

confidence: 99%

“…Our objective is to apply the dynamic reserve selection model to these data to determine the expected number of species covered Table 5: United States Geological Survey 7.5' quadrangles in the 12 site solution covering 333 species in Church et al (1996). The table gives the name of each site, the number of species present, and the probability of development.…”

Section: Data From Californiamentioning

confidence: 99%

“…Applications of these methods to find optimal solutions to the reserve site selection problem include Cocks and Baird (1989), Saetersdal et al (1993), Church et al (1996), Kiester et al (1996), Csuti et al (1997), Pressey et al (1997), Ando et al (1998), Snyder et al (1999), and Polasky et al (2001).…”

Section: Introductionmentioning

confidence: 99%

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Dynamic reserve site selection

Costello

Polasky

2004

Resource and Energy Economics

297

212

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Section: Data From Californiamentioning

confidence: 99%

Section: Data From Californiamentioning

confidence: 99%

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Dynamic reserve site selection

Costello

Polasky

2004

Resource and Energy Economics

297

212

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“…It then sequentially searches for the next region that adds most species not found in the previous region. The final purpose is to create a network with a minimum number of regions in which all species are represented at least once (the set covering problem) (Church et al, 1996).…”

Section: Methodsmentioning

confidence: 99%

“…These methods can be based simply on occurrence data for a group of species (Church et al, 1996;Pressey et al, 1997;Araújo & Williams, 2000;Polasky et al, 2000;Briers, 2002). More recently, however, they have been built on optimization of other measures of biodiversity, such as phylogenetic diversity (Polasky et al, 2001;Rodrigues & Gaston, 2002;Sechrest et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Priority areas for anuran conservation using biogeographical data: a comparison of greedy, rarity, and simulated annealing algorithms to define reserve networks in Cerrado

et al. 2005

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Spatial patterns in biodiversity variation at a regional scale are rarely taken into account when a natural reserve is to be established, despite many available methods for determining them. In this paper, we used dimensions of occurrence of 105 species of Anura (Amphibia) in the cerrado region of central Brazil to create a regional system of potential areas that preserves all regional diversity, using three different algorithms to establish reserve networks: "greedy", rarity, and simulated annealing algorithms. These generated networks based on complementarity with 10, 12, and 8 regions, respectively, widely distributed in the biome, and encompassing various Brazilian states. Although the purpose of these algorithms is to find a small number of regions for which all species are represented at least once, the results showed that 67.6%, 76.2%, and 69.5% of the species were represented in two or more regions in the three networks. Simulated annealing produced the smallest network, but it left out three species (one endemic). On the other hand, while the greedy algorithm produce a smaller solution, the rarity-based algorithm ensured that more species were represented more than once, which can be advantageous because it takes into consideration the high levels of habitat loss in the cerrado. Although usually coarse, these macro-scale approaches can provide overall guidelines for conservation and are useful in determining the focus for more local and effective conservation efforts, which is especially important when dealing with a taxonomic group such as anurans, for which quick and drastic population declines have been reported throughout the world.

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The efficiency of indicator groups for the conservation of amphibians in theBrazilianAtlanticForest

Campos

Trindade-Filho

Brito

et al. 2014

Ecology and Evolution

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The adequate selection of indicator groups of biodiversity is an important aspect of the systematic conservation planning. However, these assessments differ in the spatial scales, in the methods used and in the groups considered to accomplish this task, which generally produces contradictory results. The quantification of the spatial congruence between species richness and complementarity among different taxonomic groups is a fundamental step to identify potential indicator groups. Using a constructive approach, the main purposes of this study were to evaluate the performance and efficiency of eight potential indicator groups representing amphibian diversity in the Brazilian Atlantic Forest. Data on the geographic range of amphibian species that occur in the Brazilian Atlantic Forest were overlapped to the full geographic extent of the biome, which was divided into a regular equal-area grid. Optimization routines based on the concept of complementarily were applied to verify the performance of each indicator group selected in relation to the representativeness of the amphibians in the Brazilian Atlantic Forest as a whole, which were solved by the algorithm “simulated annealing,” through the use of the software MARXAN. Some indicator groups were substantially more effective than others in regard to the representation of the taxonomic groups assessed, which was confirmed by the high significance of the data (F = 312.76; P < 0.01). Leiuperidae was considered as the best indicator group among the families analyzed, as it showed a good performance, representing 71% of amphibian species in the Brazilian Atlantic Forest (i.e., 290 species), which may be associated with the diffuse geographic distribution of their species. In this sense, this study promotes understanding of how the diversity standards of amphibians can be informative for systematic conservation planning on a regional scale.

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Reserve selection as a maximal covering location problem

Cited by 405 publications

References 23 publications

Dynamic reserve site selection

Dynamic reserve site selection

Priority areas for anuran conservation using biogeographical data: a comparison of greedy, rarity, and simulated annealing algorithms to define reserve networks in Cerrado

The efficiency of indicator groups for the conservation of amphibians in theBrazilianAtlanticForest

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