‘EcoCleanR': enhancing data quality of biogeographic ranges with application for marine invertebrates

Published distribution data, while invaluable for understanding species' biogeography, often suffer from limitations such as dated and static representations of ranges, a bias toward latitudinal information, and lack of resolution in sampling frequency and variation in abundance throughout a species' distribution. Extensive open‐source biodiversity data now allow us to construct biogeographic ranges with more modern observations, which can be useful in conservation, evolution, and ecological studies. However, data quality remains a persistent challenge, hampering data reliability and usability. We introduce ‘EcoCleanR', an R package that integrates existing tools with new functionalities to address data integration and quality assessment through a systematic, step‐by‐step approach for marine occurrence data. This package enhances the process of identifying and resolving common issues in biodiversity data, including taxonomy and georeferencing errors. It provides: 1) example scripts to guide users, 2) functionalities to flag problematic occurrence records from multiple databases, and 3) outputs that include species‐specific distribution ranges and their corresponding environmental conditions, to facilitate accurate biogeographic and ecological analyses.

Authors

Institutions

Publication Details

Journal
Ecography
Published
2026-02-12
DOI
https://doi.org/10.1002/ecog.08203
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

‘EcoCleanR': enhancing data quality of biogeographic ranges with application for marine invertebrates

David J. Bottjer, Austin Hendy, Priyanka Soni
Ecography
Species Distribution and Climate Change
article

‘EcoCleanR': enhancing data quality of biogeographic ranges with application for marine invertebrates

David J. Bottjer, Austin Hendy, Priyanka Soni
article en

Abstract

Published distribution data, while invaluable for understanding species' biogeography, often suffer from limitations such as dated and static representations of ranges, a bias toward latitudinal information, and lack of resolution in sampling frequency and variation in abundance throughout a species' distribution. Extensive open‐source biodiversity data now allow us to construct biogeographic ranges with more modern observations, which can be useful in conservation, evolution, and ecological studies. However, data quality remains a persistent challenge, hampering data reliability and usability. We introduce ‘EcoCleanR', an R package that integrates existing tools with new functionalities to address data integration and quality assessment through a systematic, step‐by‐step approach for marine occurrence data. This package enhances the process of identifying and resolving common issues in biodiversity data, including taxonomy and georeferencing errors. It provides: 1) example scripts to guide users, 2) functionalities to flag problematic occurrence records from multiple databases, and 3) outputs that include species‐specific distribution ranges and their corresponding environmental conditions, to facilitate accurate biogeographic and ecological analyses.

EcographyVol. 2026(3)
University of Southern California (US), Statewide California Earthquake Center (US), Natural History Museum of Los Angeles County (US)
Life below water
Openalex Percentile: Top 58%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.