The influence of spatial errors in species occurrence data used in distribution models

By Catherine H. Graham, Jane Elith, Robert J. Hijmans, Antoine Guisan, A. Townsend Peterson, Bette A. Loiselle. 2007

533 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8b705adadf981ff3494b1c1159dae0150c51c93d

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Use of Maximum Entropy Modeling in Wildlife Research (2009, methodology): “Additionally, you should not conduct analyses with location data that are less precise than available environmental data [19]; if this situation occurs, environmental data should be converted to the precision of the location data.”
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants (2020, methodology): “…relative accuracy in comparison with most of the other techniques within the ensemble approach is well documented in other studies across different taxa, including terrestrial and marine species (see Elith et al., 2006; Graham et al., 2008; Monk et al., 2010; Reiss et al., 2011; Wisz et al., 2008).”
Assessing the environmental requirements of invaders using ensembles of distribution models (2011, methodology): “…in NBM are diverse, ranging from the type of correlative model used (Segurado & Araújo, 2004; Elith et al., 2006; Tsoar et al., 2007; RouraPascual et al., 2009), its parameterization (Hartley et al., 2006) or data characteristics (Dormann et al., 2008; Graham et al., 2008; Capinha et al., 2010).”
The projected effects of climatic and vegetation changes on the distribution and diversity of Southeast Asian bats (2012, background): “Maxent is often regarded as the most robust and reliable of species distribution modelling programs, even with rare species (Peterson et al., 2007; Graham et al., 2008; Phillips & Dudı́k, 2008), though it has a tendency to over-fit projections (Elith et al., 2006) and can therefore be regarded as a…”
The importance of correcting for sampling bias in MaxEnt species distribution models (2013, background): “Such constraints are common in location data for rare, elusive or threatened species, in data from poorly accessible areas and in museum data (e.g. Graham et al., 2008; Wisz et al., 2008).”
Effects of species and habitat positional errors on the performance and interpretation of species distribution models (2009, methodology): “In addition, however, our results show that the predictors driving such models were markedly affected by errors (see also Johnson & Gillingham, 2008), whereas Graham et al. (2008) did not study model inference.”
CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases (2019, background): “Records affected by these issues can cause severe bias depending on the research question and the geographical scale of analyses (Graham et al., 2008; Gueta & Carmel, 2016; Johnson & Gillingham, 2008).”
Spatial bias in the GBIF database and its effect on modeling species' geographic distributions (2014, background): “Data quality issues and the lack of transparency of data quality have been noted by many and were publicly criticised (Graham et al., 2008; Soberón et al., 2002; Yesson et al., 2007).”
No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation (2015, background): “The efficacy of algorithms designed to estimate the ecological niche also responds to numerous factors, which has been the subject of large numbers of analyses (e.g. Stockwell & Peterson 2002; Graham et al. 2007; Guisan et al. 2007a,b; Elith & Graham 2009).”
Global mapping of Jatropha curcas yield based on response of fitness to present and future climate (2010, background): “MaxEnt provides flexible features, which reduce moderate levels of climate bias and sampling geo-locational errors (Graham et al., 2008; Phillips & Dudik, 2008).”