The use of specimen-label databases for conservation purposes: an example using Mexican Papilionid and Pierid butterflies

By Jorge Soberón, Jorge Llorente, L. Oñate. Biodiversity and Conservation, 2000

167 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2591420157ba3e56bfd68d3a6b6b056dae45c146

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Citations in the corpus

Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, background): “We strongly believe that SDMs have great potential to support the conservation of tropical biodiversity in the future, if their value in this context is recognized.”
Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot (2010, background): “As a result, biodiversity databases, although extremely useful, may suffer strong limitations even for groups and/or regions that have been well studied (Soberón et al. 2000; Hortal et al. 2007; Soberón et al. 2007).”
Novel methods improve prediction of species' distributions from occurrence data (2006, unknown): “This result bolsters the recent movement to capitalize on the growing availability of both species’ occurrence records (Soberon et al. 2000, Graham et al. 2004a) and high-resolution spatial environmental data.”
Significance of Specimen Databases from Taxonomic Revisions for Estimating and Mapping the Global Species Diversity of Invertebrates and Repatriating Reliable Specimen Data (2004, methodology): “Although these techniques were initially proposed for samples obtained under standardized sampling protocols in ecology, researchers have recently also started to apply them to museum-collection samples (e.g., Heyer et al. 1999; Soberón et al. 2000; Petersen et al. 2003).”
Using biogeographical patterns of endemic land snails to improve conservation planning for limestone karsts (2008, background): “Based on completeness ratios (i.e., no. of observed species/ estimated species: Soberón et al., 2000), sampling saturation was calculated for karsts in West Malaysia, but not for those in East Malaysia due to spatial (i.e., plot size) and temporal (i.e., sampling effort was spread over 6 years)…”
Implications of collection patterns of botanical specimens on their usefulness for conservation planning: an example of two neotropical plant families (Moraceae and Myristicaceae) in Peru (2007, methodology): “Similar relationships between collections and number of species were found in other studies (Nelson et al. 1990; Williams et al. 1996; Funk et al. 1999; Soberon et al. 2000), but often with little discussion of the implications of the results (e.”
Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (2002, background): “For most regions, the geographical coverage of such information is sparse (Margules and Austin 1994; Lawes and Piper 1998; Maddock and du Plessis 1999; Soberón et al. 2000).”
Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models (2010, background): “Bias in the records may be of four types: spatial, environmental, temporal and taxonomic (Soberón et al., 2000).”
Taxonomist survey biases and the unveiling of biodiversity patterns (2009, background): “…the information compiled on species distributions presents a marked pattern of spatial and environmental biases and survey incompleteness (Dennis and Hardy, 1999; Dennis et al., 1999; Soberón et al., 2000; Lobo et al., 2007; Hortal et al., 2008; Kadmon et al., 2003, 2004; Kéry et al., 2008).”