Overcoming the Linnean shortfall: Data deficiency and biological survey priorities
By D. Brito. 2010
112 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/457714db67be9b081794a7e842e64e40ac67162a
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In Ecological Modeling
In Ecology
In Nature and Landscape Conservation
Citations in the corpus
- Amphibians over the edge: silent extinction risk of Data Deficient species (2014, methodology): “While predictions of extinction risk do not replace formal classification, they can provide, in a similar manner to the work of Brito (2010), a means of focusing research towards collecting primary data on species predicted to be at high risk.”
- Overcoming data deficiency in reptiles (2016, background): ““Trindade-Filho et al. 2012”, “Brito 2010” are cited in text but not provided in the reference list.”
- Unraveling the conservation status of Data Deficient species (2013, background): “…threatened have been at the forefront of conservation literature and management actions (Stuart et al., 2004, 2005; Pimenta et al., 2005; Morais et al., 2012), whereas Data Deficient species have received sparse attention so far (e.g., Brito, 2010; Isaac et al., 2012; Trindade-Filho et al., 2012).”
- The strong influence of collection bias on biodiversity knowledge shortfalls of Brazilian terrestrial biodiversity (2016, result): “We follow other studies (Bini et al., 2006; Reeder et al., 2007; Brito, 2010) and consider that less sampled sites that have greater difference in species composition, compared to better sampled sites, should harbour more undescribed species.”