Sampling biases shape our view of the natural world

Effectively and accurately mapping global biodiversity patterns for different regions and taxa

(2021) Alice C. Hughes et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data

(2020) Vítězslav Moudrý et al.   Ecological Informatics

sampbias , a method for quantifying geographic sampling biases in species distribution data

(2020) Alexander Zizka et al.   ECOGRAPHY

Global Patterns and Drivers of Bee Distribution

(2020) Michael C. Orr et al.   CURRENT BIOLOGY

CoordinateCleaner: standardized cleaning of occurrence records from biological collection databases

(2019) Alexander Zizka et al.   Methods in Ecology and Evolution

Ecological Data Should Not Be So Hard to Find and Reuse

(2019) Timothée Poisot et al.   TRENDS IN ECOLOGY & EVOLUTION

Survey completeness of a global citizen‐science database of bird occurrence

(2019) Frank A. La Sorte et al.   ECOGRAPHY

BDcleaner: A workflow for cleaning taxonomic and geographic errors in occurrence data archived in biodiversity databases

(2019) Jing Jin et al.   Global Ecology and Conservation

How Many Species of Insects and Other Terrestrial Arthropods Are There on Earth?

(2018) Nigel E. Stork   Annual Review of Entomology

Stratifying ocean sampling globally and with depth to account for environmental variability

(2018) Mark John Costello et al.   Scientific Reports

Mapping knowledge gaps in marine diversity reveals a latitudinal gradient of missing species richness

(2018) André Menegotto et al.   Nature Communications

Widespread sampling biases in herbaria revealed from large-scale digitization

(2017) Barnabas H. Daru et al.   NEW PHYTOLOGIST

Taxonomic bias in biodiversity data and societal preferences

(2017) Julien Troudet et al.   Scientific Reports

Spatial Gaps in Global Biodiversity Information and the Role of 
Citizen Science

(2016) Tatsuya Amano et al.   BIOSCIENCE

Multidimensional biases, gaps and uncertainties in global plant occurrence information

(2016) Carsten Meyer et al.   ECOLOGY LETTERS

iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers)

(2016) T. C. Hsieh et al.   Methods in Ecology and Evolution

Effects of Roads on Animal Abundance: an Empirical Review and Synthesis

(2016) Lenore Fahrig et al.   ECOLOGY AND SOCIETY

Bias and information in biological records

(2015) Nick J. B. Isaac et al.   BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY

Conservation of biodiversity through taxonomy, data publication, and collaborative infrastructures

(2015) Mark J. Costello et al.   CONSERVATION BIOLOGY

Global priorities for an effective information basis of biodiversity distributions

(2015) Carsten Meyer et al.   Nature Communications

No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation

(2015) Huijie Qiao et al.   Methods in Ecology and Evolution

Limited sampling hampers “big data” estimation of species richness in a tropical biodiversity hotspot

(2015) Kristine Engemann et al.   Ecology and Evolution

Factors influencing when species are first named and estimating global species richness

(2015) Mark J. Costello et al.   Global Ecology and Conservation

EstimateS turns 20: statistical estimation of species richness and shared species from samples, with non-parametric extrapolation

(2014) Robert K. Colwell et al.   ECOGRAPHY

Completing the data life cycle: using information management in macrosystems ecology research

(2014) Janine Rüegg et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Can we derive macroecological patterns from primary Global Biodiversity Information Facility data?

(2014) Emilio García-Roselló et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

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

(2013) Jan Beck et al.   Ecological Informatics

Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies

(2013) Anne Chao et al.   ECOLOGICAL MONOGRAPHS

Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security

(2013) T. Amano et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Can We Name Earth's Species Before They Go Extinct?

(2013) M. J. Costello et al.   SCIENCE

Biodiversity data should be published, cited, and peer reviewed

(2013) Mark J. Costello et al.   TRENDS IN ECOLOGY & EVOLUTION

Mapping where ecologists work: biases in the global distribution of terrestrial ecological observations

(2012) Laura J Martin et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

The global diversity of birds in space and time

(2012) W. Jetz et al.   NATURE

Global patterns and predictors of marine biodiversity across taxa

(2010) Derek P. Tittensor et al.   NATURE

Biodiversity's Big Wet Secret: The Global Distribution of Marine Biological Records Reveals Chronic Under-Exploration of the Deep Pelagic Ocean

(2010) Thomas J. Webb et al.   PLoS One

Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data

(2010) Elizabeth H. Boakes et al.   PLOS BIOLOGY

Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes

(2009) R. Guralnick et al.   BIOINFORMATICS

Motivating Online Publication of Data

(2009) Mark J. Costello   BIOSCIENCE

The completeness of taxonomic inventories for describing the global diversity and distribution of marine fishes

(2007) C. Mora et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES