Strengths and Challenges of Using iNaturalist in Plant Research with Focus on Data Quality

Author:

López-Guillén Eduard1,Herrera Ileana23ORCID,Bensid Badis14,Gómez-Bellver Carlos1ORCID,Ibáñez Neus1ORCID,Jiménez-Mejías Pedro5,Mairal Mario6ORCID,Mena-García Laura1,Nualart Neus1ORCID,Utjés-Mascó Mònica1,López-Pujol Jordi12ORCID

Affiliation:

1. Institut Botànic de Barcelona (IBB, CSIC-CMCNB), 08038 Barcelona, Spain

2. Escuela de Ciencias Ambientales, Universidad Espíritu Santo (UEES), Samborondón 091650, Ecuador

3. Instituto Nacional de Biodiversidad (INABIO), Quito 170501, Ecuador

4. Departament de Biologia Animal, Biologia Vegetal i Ecologia, Facultat de Biociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain

5. Área de Botánica, Departamento de Biología Molecular e Ingeniería Bioquímica, Universidad Pablo de Olavide, 41013 Sevilla, Spain

6. Departamento de Biodiversidad, Ecología y Evolución (Unidad de Botánica), Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain

Abstract

iNaturalist defines itself as an “online social network of people sharing biodiversity information to help each other learn about nature” and it is likely one of the largest citizen science web portals in the world, as every year millions of observations across thousands of species are gathered and collectively compiled by an engaged community of nearly 3 million users (November 2023). The strengths and potentialities that explain the success of the platform are reviewed and include, among others, its usability and low technical requirements, immediacy, open-access, the possibility of interacting with other users, artificial-intelligence-aided identification, versatility and automatic incorporation of the validated records to GBIF. iNaturalist has, however, features that scientists need to carefully consider when using it for their research, making sure that the quality of observations does not limit or hinder its usefulness in plant research. While these are identified (e.g., the lack of representative photographs for many observations or the relatively frequent identification errors), we provide some suggestions to overcome them and, by doing so, improve the use and add value to iNaturalist for plant research.

Funder

Ministerio de Ciencia e Innovación, Spain

Generalitat de Catalunya, Government of Catalonia, Spain

The Research Center of the Universidad Espiritu Santo

Fundación Española para la Ciencia y la Tecnología - Ministerio de Ciencia, Innovación y Universidades

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Agricultural and Biological Sciences (miscellaneous),Ecological Modeling,Ecology

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