Spatial bias in the GBIF database and its effect on modeling species' geographic distributions

Ballesteros-Mejia, 2013, Mapping the biodiversity of tropical insects: species richness and inventory completeness of African sphingid moths, Glob. Ecol. Biogeogr., 22, 586, 10.1111/geb.12039 Barve, 2011, The crucial role of the accessible area in ecological niche modelling and species distribution modelling, Ecol. Model., 222, 1810, 10.1016/j.ecolmodel.2011.02.011 Beale, 2012, Incorporating uncertainty in predictive species distribution modeling, Phil. Trans. R. Soc. B, 367, 247, 10.1098/rstb.2011.0178 Beck, 2012, What's on the horizon of macroecology?, Ecography, 35, 673, 10.1111/j.1600-0587.2012.07364.x Beck, 2013, Online solutions and the ‘Wallacean shortfall’: what does GBIF contribute to our knowledge of species' ranges?, Divers. Distrib., 19, 1043, 10.1111/ddi.12083 Boakes, 2010, Distorted views of biodiversity: spatial and temporal bias in species occurrence data, PLoS Biol., 8, e1000385, 10.1371/journal.pbio.1000385 Brown, 2006, Receiver operating characteristics curves and related decision measures: a tutorial, Chemom. Intell. Lab. Syst., 80, 24, 10.1016/j.chemolab.2005.05.004 Chavan, 2011, The data paper: a mechanism to incentivize data publishing in biodiversity science, BMC Bioinforma., 12, S2, 10.1186/1471-2105-12-S15-S2 Costello, 2013, Biodiversity data should be published, cited, and peer reviewed, Trends Ecol. Evol., 28, 454, 10.1016/j.tree.2013.05.002 2011, CSCF im kurzem Dudík, 2005, Correcting sample selection bias in maximum entropy density estimation, 18, 323 Elith, 2009, Species distribution models: ecological explanation and prediction across space and time, Ann. Rev. Ecol. Evol. Syst., 40, 677, 10.1146/annurev.ecolsys.110308.120159 Elith, 2006, Novel methods improve prediction of species' distributions from occurrence data, Ecography, 29, 129, 10.1111/j.2006.0906-7590.04596.x Fitzpatrick, 2013, MaxEnt versus MaxLike: empirical comparisons with ant species distributions, Ecosphere, 4, art55, 10.1890/ES13-00066.1 Flemons, 2007, A web-based GIS tool for exploring the world's biodiversity: the global biodiversity information facility mapping and analysis portal application (GBIF-MAPA), Ecol. Inform., 2, 49, 10.1016/j.ecoinf.2007.03.004 Graham, 2008, The influence of spatial errors in species occurrence data used in distribution models, J. Appl. Ecol., 45, 239, 10.1111/j.1365-2664.2007.01408.x Guralnick, 2009, Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes, Bioinformatics, 25, 421, 10.1093/bioinformatics/btn659 Jetz, 2012, Integrating biodiversity distribution knowledge: toward a global map of life, Trends Ecol. Evol., 23, 151, 10.1016/j.tree.2011.09.007 Jiménez-Valverde, 2011, Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling, Glob. Ecol. Biogeogr., 21, 498, 10.1111/j.1466-8238.2011.00683.x Joppa, 2013, Troubling trends in scientific software use, Science, 340, 814, 10.1126/science.1231535 Kramer-Schadt, 2013, The importance of correcting for sampling bias in MaxEnt species distribution models, Divers. Distrib., 19, 1366, 10.1111/ddi.12096 Lintz, 2013, Effect of inventory method on niche models: random versus systematic error, Ecol. Inform., 18, 20, 10.1016/j.ecoinf.2013.05.001 Lobo, 2008, AUC: a misleading measure of the performance of predictive distribution models, Glob. Ecol. Biogeogr., 17, 145, 10.1111/j.1466-8238.2007.00358.x Narwade, 2011, Literature based species occurrence data of birds of northeast India, ZooKeys, 150, 407, 10.3897/zookeys.150.2002 Pearce, 2000, Evaluating the predictive performance of habitat models developed using logistic regression, Ecol. Model., 133, 225, 10.1016/S0304-3800(00)00322-7 Peterson, 2008, Rethinking receiver operating characteristic analysis applications in ecological niche modeling, Ecol. Model., 213, 63, 10.1016/j.ecolmodel.2007.11.008 Phillips, 2008, Modelling of species distributions with Maxent: new extensions and a comprehensive evaluation, Ecography, 31, 161, 10.1111/j.0906-7590.2008.5203.x Phillips, 2006, Maximum entropy modelling of species geographic distributions, Ecol. Model., 190, 231, 10.1016/j.ecolmodel.2005.03.026 Phillips, 2009, Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data, Ecol. Appl., 19, 181, 10.1890/07-2153.1 Soberón, 2002, Issues of quality control in large, mixed-origin entomological databases, 1 Tutsov, 2000, Guide to the butterflies of Russia and adjacent territories, vol. 2 Yang, 2013, Geographical sampling bias in a large distributional database and its effects on species richness–environment models, J. Biogeogr., 10.1111/jbi.12108 Yesson, 2007, How global is the global biodiversity information facility?, PLoS One, 2, e1124, 10.1371/journal.pone.0001124