Identifying, reducing, and communicating uncertainty in community science: a focus on alien species.

Biodiversity monitoring Citizen science Data quality Epistemic uncertainty Linguistic uncertainty Non-native species

Journal

Biological invasions
ISSN: 1387-3547
Titre abrégé: Biol Invasions
Pays: Netherlands
ID NLM: 100955490

Informations de publication

Date de publication:
2022
Historique:
received: 04 09 2021
accepted: 26 06 2022
entrez: 24 10 2022
pubmed: 25 10 2022
medline: 25 10 2022
Statut: ppublish

Résumé

Community science (also often referred to as citizen science) provides a unique opportunity to address questions beyond the scope of other research methods whilst simultaneously engaging communities in the scientific process. This leads to broad educational benefits, empowers people, and can increase public awareness of societally relevant issues such as the biodiversity crisis. As such, community science has become a favourable framework for researching alien species where data on the presence, absence, abundance, phenology, and impact of species is important in informing management decisions. However, uncertainties arising at different stages can limit the interpretation of data and lead to projects failing to achieve their intended outcomes. Focusing on alien species centered community science projects, we identified key research questions and the relevant uncertainties that arise during the process of developing the study design, for example, when collecting the data and during the statistical analyses. Additionally, we assessed uncertainties from a linguistic perspective, and how the communication stages among project coordinators, participants and other stakeholders can alter the way in which information may be interpreted. We discuss existing methods for reducing uncertainty and suggest further solutions to improve data reliability. Further, we make suggestions to reduce the uncertainties that emerge at each project step and provide guidance and recommendations that can be readily applied in practice. Reducing uncertainties is essential and necessary to strengthen the scientific and community outcomes of community science, which is of particular importance to ensure the success of projects aimed at detecting novel alien species and monitoring their dynamics across space and time. The online version contains supplementary material available at 10.1007/s10530-022-02858-8.

Identifiants

pubmed: 36277057
doi: 10.1007/s10530-022-02858-8
pii: 2858
pmc: PMC9579088
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

3395-3421

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare no conflict of interest.

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Auteurs

Anna F Probert (AF)

Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland.

Daniel Wegmann (D)

Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland.

Lara Volery (L)

Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland.

Tim Adriaens (T)

Research Institute for Nature and Forest (INBO), Herman Teirlinckgebouw, Havenlaan 88 bus 73, 1000 Brussels, Belgium.

Rigers Bakiu (R)

Faculty of Agriculture and Environment, Department of Aquaculture and Fisheries, Agricultural University of Tirana, Koder-Kamez, Tirane, Albania.

Sandro Bertolino (S)

Department of Life Sciences and Systems Biology, University of Turin, 10123 Turin, Italy.

Franz Essl (F)

Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University Vienna, Rennweg 14, 1030 Vienna, Austria.
Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa.

Eugenio Gervasini (E)

Joint Research Centre, European Commission, Ispra, Italy.

Quentin Groom (Q)

Meise Botanic Garden, Meise, Belgium.

Guillaume Latombe (G)

Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University Vienna, Rennweg 14, 1030 Vienna, Austria.
Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, EH9 3JT UK.

Dragana Marisavljevic (D)

Institute for Plant Protection and Environment, Belgrade, Serbia.

John Mumford (J)

Centre for Environmental Policy, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY UK.

Jan Pergl (J)

Institute of Botany, Czech Academy of Sciences, 252 43 Průhonice, Czech Republic.

Cristina Preda (C)

Ovidius University of Constanta, Al. Universitatii nr.1, Corp B, 900470 Constanta, Romania.

Helen E Roy (HE)

UK Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, OX10 8BB UK.

Riccardo Scalera (R)

IUCN/SSC Invasive Species Specialist Group, Rome, Italy.

Heliana Teixeira (H)

CESAM - Centre for Environmental and Marine Studies, Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

Elena Tricarico (E)

Department of Biology, University of Florence, Sesto Fiorentino, FI Italy.

Sonia Vanderhoeven (S)

Belgian Biodiversity Platform - Département du Milieu Naturel et Agricole - Service Public de Wallonie, Avenue Maréchal Juin 23, 5030 Gembloux, Belgium.

Sven Bacher (S)

Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland.

Classifications MeSH