Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems

By Atte Moilanen, A. Franco, R. Early, R. Fox, Brendan A. Wintle, Christopher M Thomas. Proceedings of the Royal Society of London. Biological Sciences, 2005

670 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/77f6343e20b26969db59916d8e39c460f89f190a

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Citations in the corpus

Protected areas and spatial conservation priorities for endemic vertebrates of the Gran Chaco, one of the most threatened ecoregions of the world (2016, methodology): “ZONATION 4.0.0b (Moilanen et al., 2005, 2014) was used to identify priority areas for the conservation of endemic vertebrates of the Gran Chaco.”
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias (2014, background): “Likewise, protected areas usually focus on biodiversity hotspots [6] in order to conserve efficiently as many species as possible [7–9].”
Using circuit theory to model connectivity in ecology, evolution, and conservation. (2008, background): “The conceptually and computationally simplest are based on Euclidean distances, and can be quickly calculated on grids with millions of cells (e.g., Moilanen et al. 2005, Moilanen and Wintle 2007).”
Difficult decisions: Strategies for conservation prioritization when taxonomic, phylogenetic and functional diversity are not spatially congruent (2018, methodology): “Spatial prioritization algorithms, such as Zonation (Moilanen et al., 2005), attempt to minimize the loss of value from removing a site from a regional set of sites by maximizing the inclusion of sites (δk) by:”
Methods and workflow for spatial conservation prioritization using Zonation (2013, methodology): “Computational analysis with Zonation has been extensively described elsewhere (Moilanen et al., 2005, 2009b; Moilanen and Arponen, 2011; see also Section 2.3).”
Species richness as criterion for global conservation area placement leads to large losses in coverage of biodiversity (2017, methodology): “…ranking which starts from the full landscape and generates a priority ranking by iteratively ranking and removing the grid cells in the order which cause the least loss in aggregate conservation value (Lethomäki & Moilanen, 2013; Moilanen et al., 2005, 2011, 2014; Pouzols et al., 2014).”
Novel methods for the design and evaluation of marine protected areas in offshore waters (2008, methodology): “In the second phase of our analysis, we used the reserve selection software Zonation (Moilanen et al. 2005, Appendix S1 in Supplementary Material) to design and evaluate a range of potential MPA configurations, based on the predicted fish distribution data layers created in the first phase of our…”
Coexistence of mesopredators in an intact polar ocean ecosystem: The basis for defining a Ross Sea marine protected area (2012, methodology): “The mathematical details and other methodological information pertaining to core-area Zonation are provided by Moilanen et al. (2005) and Moilanen (2007).”
How do local habitat management and landscape structure at different spatial scales affect fritillary butterfly distribution on fragmented wetlands? (2008, background): “However, management concepts on landscape scales are only starting to develop and require further landscape-scale field studies (Moilanen et al. 2005).”
The efficiency of voluntary incentive policies for preventing biodiversity loss (2009, background): “The annualized net revenue from each use is specified as a function of deterministic and random factors.1 For parcel i that begins period t in use j and ends period t in use k, real annualized net revenues (Rikt) less annualized conversion costs (rCijkt) are: 1 1 ( ) 2 2 0 ( ) 1 ( )ikt ijkt jk jk c…”
Modeling connectivity of black bears in a desert sky island archipelago (2011, background): “We identified suitable habitat and movement corridors for black bears in the Sky Island mountain ranges of southern Arizona, information that can help inform systems-level approaches to land-use planning and conservation (Moilanen et al., 2005).”
Optimizing resiliency of reserve networks to climate change: multispecies conservation planning in the Pacific Northwest, USA (2010, methodology): “…Phillips & Dudik, 2008) with reserve selection software adapted to process the large numbers of resultant habitat suitability surfaces (ZONATION; Moilanen et al., 2005; Moilanen & Kujala, 2008) to identify reserve systems that optimize habitat quality and connectivity for many species across…”
Maximizing return on investment in conservation (2007, background): “…or extrapolations based on species–area relationships, though recent work has tried to predict how species conservation changes as a function of how habitats are distributed across the landscape (Cabeza and Moilanen, 2003; Polasky et al., 2005; Moilanen et al., 2005; Nicholson et al., 2006).”
Biologically representative and well‐connected marine reserves enhance biodiversity persistence in conservation planning (2018, positive): “…patterns (Pressey et al., 2007), usually through reserve selection algorithms such as Marxan (Possingham, Ball, & Andelman, 2000) and Zonation (Moilanen et al., 2005) to identify priority areas that protect a proportion of the geographic range of each biological feature (a species for…”
Spatial socioeconomic data as a cost in systematic marine conservation planning (2009, methodology): “Application of this approach to real-world conservation assessments is supported by decision support tools, e.g., Marxan (Ball & Possingham 2000; Possingham et al. 2000), C-Plan (Pressey et al. 2009), Zonation (Moilanen et al. 2005), and ResNet (Kelley et al. 2002).”
Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds (2012, methodology): “…of Balearic Shearwaters along the W Iberian coast, we used our predicted probabilities of occurrence and the spatial prioritization algorithm ‘Zonation’ (Moilanen, 2007; Moilanen et al., 2005), which has been used successfully in large-scale marine applications (Leathwick et al., 2008).”
Conservation biological control and enemy diversity on a landscape scale (2007, background): “These programs have been used for practical applications (Moilanen et al., 2005), and could undoubtedly be modified for the design of agricultural landscapes, and to evaluate existing landscapes, exploring potential modifications.”