Journal ArticleDOI
Spatial bias in the GBIF database and its effect on modeling species' geographic distributions
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TLDR
A subsampling routine is used as an exemplar taxon to provide evidence that range model quality is decreasing due to the spatial clustering of distributional records in GBIF and shows that data with less spatial bias produce better predictive models even though they are based on less input data.About:
This article is published in Ecological Informatics.The article was published on 2014-01-01. It has received 424 citations till now.read more
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Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias.
TL;DR: The ability of methods to correct the initial sampling bias varied greatly depending on bias type, bias intensity and species, but the simple systematic sampling of records consistently ranked among the best performing across the range of conditions tested, whereas other methods performed more poorly in most cases.
Journal ArticleDOI
Contribution of citizen science towards international biodiversity monitoring
Mark Chandler,Linda See,Kyle Copas,Astrid M.Z. Bonde,Bernat C. López,Finn Danielsen,Jan Kristoffer Legind,Siro Masinde,Abraham J. Miller-Rushing,Greg Newman,Alyssa Rosemartin,Eren Turak,Eren Turak +12 more
TL;DR: In this article, the authors used the Essential Biodiversity Variable framework to describe the range of biodiversity data needed to track progress towards global biodiversity targets, and assessed strengths and gaps in geographical and taxonomic coverage.
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Estimating species diversity and distribution in the era of Big Data: to what extent can we trust public databases?
Carla Maldonado,Carla Maldonado,Carlos I. Molina,Carlos I. Molina,Alexander Zizka,Claes Persson,Charlotte M. Taylor,Joaquina Albán,Eder Chilquillo,Eder Chilquillo,Nina Rønsted,Alexandre Antonelli +11 more
TL;DR: Open databases and integrative bioinformatic tools allow a rapid approximation of large‐scale patterns of biodiversity across space and altitudinal ranges, and it is found that geographic inaccuracy affects diversity patterns more than taxonomic uncertainties.
Journal ArticleDOI
Recommending plant taxa for supporting on-site species identification
TL;DR: It is found that occurrence records are complementary to presence-absence data and using both in combination yields considerably higher recall of 96% along with improved ranking metrics, and a spatio-temporal prior can substantially expedite the overall identification problem.
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Worldwide occurrence records suggest a global decline in bee species richness
TL;DR: In this article, the authors analyzed publicly available worldwide occurrence records from the Global Biodiversity Information Facility spanning over a century and found that after the 1990s, the number of collected bee species declines steeply such that approximately 25% fewer species were reported between 2006 and 2015 than before 1990s.
References
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Journal ArticleDOI
Troubling Trends in Scientific Software Use
Lucas Joppa,Greg J. McInerny,Greg J. McInerny,Richard Harper,Lara Salido,Kenji Takeda,Kenton O'Hara,David J. Gavaghan,Stephen Emmott +8 more
TL;DR: This work describes problems with the adoption and use of scientific software and reveals key insights and best practices for how to develop, standardize, and implement software.
Journal ArticleDOI
What ' s on the horizon for macroecology?
Jan Beck,Liliana Ballesteros-Mejia,Carsten M. Buchmann,Jürgen Dengler,Susanne A. Fritz,Bernd Gruber,Christian Hof,Florian Jansen,Sonja Knapp,Holger Kreft,Anne-Kathrin Schneider,Marten Winter,Carsten F. Dormann +12 more
TL;DR: Scanning the horizon of macroecology, it is identified that more sophisticated methods are needed to account for the biases inherent to sampling at large scale and that Bayesian methods may be particularly suitable to address these challenges.
Journal ArticleDOI
PAPER Geographical sampling bias in a large distributional database and its effects on species richness-environment models
TL;DR: In this article, the authors quantify the inventory incompleteness of vascular plant data across 2377 Chinese counties and test whether inventory incompletteness affects the analysis of richness-environment relationships and spatial predictions of species richness.
Journal ArticleDOI
MaxEnt versus MaxLike: empirical comparisons with ant species distributions
TL;DR: For species distribution modeling, MaxLike, and similar models that are based on an explicit sampling process and that directly estimate probability of occurrence, should be considered as important alternatives to the widely-used MaxEnt framework.
Journal ArticleDOI
Online solutions and the ‘Wallacean shortfall’: what does GBIF contribute to our knowledge of species' ranges?
TL;DR: Although GBIF contributed relevant additional information, it is not yet an effective alternative to manual compilation and databasing of distributional records from collections and literature sources, at least in lesser-known taxa such as invertebrates.
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