Conservation Planning and Biodiversity: Assembling the Best Data for the Job

By R. Pressey. 2004

198 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/ea81ef84f3fbbd42ea50b1846ffd5dd06a8b7a49

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Effectiveness of biodiversity indicators varies with extent, grain, and region (2006, background): “The fact that consistently compiled, rigorously evaluated species data were available for only a single (relatively large) grain for two regions and seven taxa demonstrates how little we still know about biodiversity (Pressey, 2004) and limits our ability to conduct additional tests.”
Pragmatic population viability targets in a rapidly changing world (2010, unknown): “As with the use of biodiversity surrogates in conservation planning (Pressey, 2004), rules of thumb on species’ demographic and genetic requirements are often the only option when dealing with the current crisis under conditions of great uncertainly and severe resource constraints.”
Biodiversity hotspots: A shortcut for a more complicated concept (2015, background): “As pointed out by Bøhn and Amundsen (2004), an interesting study (Price, 2002) showed that stressful marine environments with low species richness could unexpectedly be both hotspots and coldspots of biodiversity.”
Establishing Representative No‐Take Areas in the Great Barrier Reef: Large‐Scale Implementation of Theory on Marine Protected Areas (2005, background): “Few data on species or habitat distribution were comprehensive, and a bioregional approach based on available species and habitat data militated against merely protecting sampling sites where data showed that particular habitats or species exist (Ward et al. 1999; Pressey 2004).”
Conservation planning in a changing world. (2007, background): “Most publications concern biodiversity pattern (Figure 1) ‐ that is, the elements of biodiversity that can be mapped and regarded as static [ 4 ].”
Tree species compositional change and conservation implications in the white‐water flooded forests of the Brazilian Amazon (2012, background): “This is the primary reason why most analyses of the representativeness of protected areas in the Amazon Basin (e.g. Fearnside & Ferraz, 1995; Ferreira et al., 2001; MMA, 2007) use representation units as surrogates for the distributions of poorly recorded and undescribed species (Pressey, 2004).”
Adapting the IUCN Red List criteria for invertebrates (2011, background): “This taxonomic bias is also pervasive in species inventories (Gaston and Rodrigues, 2003; Pressey, 2004), species reintroduction projects (Seddon et al.”