Evaluation of Museum Collection Data for Use in Biodiversity Assessment

By W. Ponder, G. A. Carter, P. Flemons, R. Chapman. 2001

401 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a51a55caad3fa8525abaf04867b5dba5e417f6a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning (2003, background): “Museum records have great potential to provide insights into the vulnerability, historical distribution, and conservation of species (e.g., Davis 1996; Ponder et al. 2001).”
Significance of Specimen Databases from Taxonomic Revisions for Estimating and Mapping the Global Species Diversity of Invertebrates and Repatriating Reliable Specimen Data (2004, background): “Some people claim that the natural history museums around the world contain “the most comprehensive, reliable source of knowledge for most described species. . .” (Ponder et al. 2001; see also Gaston et al. 1995).”
Citizen Science as a Tool for Augmenting Museum Collection Data from Urban Areas (2017, background): “Up-to-date records of species distribution are critical for understanding the effects of these forces on individual species and communities (Shaffer et al., 1998; Ponder et al., 2001; Thuiller, 2004; Chen et al., 2011).”
Accounting for spatially biased sampling effort in presence‐only species distribution modelling (2015, methodology): “The target-group background approach was presented as an approximation of this method (e.g. Ponder et al., 2001; Anderson, 2003) and further explored by Phillips et al. (2009).”
Biodiversity of most dead wood-dependent organisms in thermophilic temperate oak woodlands thrives on diversity of open landscape structures (2014, background): “Many species are predicted to be lost before they have been explored for science, and in the best case scenario, specimens are at least currently preserved in several museum collections around the world (Ponder et al., 2001; Horak et al., 2012).”
Analysing botanical collecting effort in Amazonia and correcting for it in species range estimation (2007, methodology): “Bayesian modelling (Gelfand et al., 2003; Latimer et al., 2006) offers established methodology for building SDMs that include spatial variation in collecting activity and existing environmental data.”
Assessing the Relevance of Herbarium Collections as Tools for Conservation Biology (2017, background): “, 2015); (3) gaps in spatial and temporal information (Ponder et al., 2001; Küper et al., 2006; Stropp et al., 2016); (4) imprecisions in specimens’ georeferencing (Landrum & Lafferty, 2015); and (5) overrepresentation of certain species either due to selective collection by specialists of their Bta”
Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates (2020, methodology): “Since this search effort is often unknown, methods to account for sampling bias are typically based on Target Group Sampling (TGS; Ponder et al. 2001, Phillips et al. 2009).”
Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela (2003, methodology): “First, they incorporate geographically explicit predictions of potential distribution into the test (lacking in Heyer et al., 1999 and not integrated by Ponder et al., 2001).”
Rapid assessment of invertebrate biodiversity on rocky shores: where there’s a whelk there’s a way (2005, background): “Although this type of information has not been accessed as a matter of course during biodiversity studies, it has recently been shown that collections can provide useful information on large-scale patterns of biodiversity for specific taxa (Ponder et al. 2001).”
A maximum entropy approach to species distribution modeling (2004, background): “Natural history museum and herbarium collections constitute the richest source of occurrence localities (Ponder et al., 2001; Stockwell & Peterson, 2002).”