Simple methods for improving the communication of uncertainty in species’ temporal trends

Pescott, O.L. ORCID: https://orcid.org/0000-0002-0685-8046; Stroh, P.A.; Humphrey, T.A.; Walker, K.J.. 2022 Simple methods for improving the communication of uncertainty in species’ temporal trends. Ecological Indicators, 141, 109117. 7, pp. 10.1016/j.ecolind.2022.109117

Before downloading, please read NORA policies.

Preview

Text N533154JA.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview

Abstract/Summary

Temporal trends in species occupancy or abundance are a fundamental source of information for ecology and conservation. Model-based uncertainty in these trends is often communicated as frequentist confidence or Bayesian credible intervals, however, these are often misinterpreted in various ways, even by scientists. Research from the science of information visualisation indicates that line ensemble approaches that depict multiple outcomes compatible with a fitted model or data may be superior for the clear communication of model-based uncertainty. The discretisation of continuous probability information into frequency bins has also been shown to be useful for communicating with non-specialists. We present a simple and widely applicable approach that combines these two ideas, and which can be used to clearly communicate model-based uncertainty in species trends (or composite indicators) to stakeholders. We also show how broader ontological uncertainty can be communicated via trend plots using risk-of-bias visualisation approaches developed in other disciplines. The techniques are demonstrated using the example of long-term plant distributional change in Britain, but are applicable to any temporal data consisting of averages and associated uncertainty measures. Our approach supports calls for full transparency in the scientific process by clearly displaying the multiple sources of uncertainty that can be estimated by researchers.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.ecolind.2022.109117
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	1470-160X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	information visualisation, environmental monitoring, risk-of-bias, line ensembles, model-based inference, stakeholder communication, bootstrap, Bayesian model
NORA Subject Terms:	Ecology and Environment Botany Data and Information
Date made live:	09 Sep 2022 10:54 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533154

Actions (login required)

View Item

Document Downloads

More statistics for this item...