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Beyond conditional visibility: operationalizing epistemic justice in conservation science

Published online by Cambridge University Press:  09 March 2026

Ronald Maliao*
Affiliation:
Department of Ecology, Debreceni Egyetem, Hungary College of Fisheries and Marine Sciences, Aklan State University, Philippines
Béla Tóthmérész
Affiliation:
Department of Ecology, Debreceni Egyetem, Hungary
*
Corresponding author: Ronald J Maliao; Email: rjmaliao@gmail.com
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Summary

Conservation science is constrained by conditional visibility, an epistemic trap whereby recognition depends on alignment with Global North priorities. This phenomenon represents the operational intersection of the Matthew and Matilda effects, compounded by the feminization of poverty in the Global South. By marginalizing Indigenous and local knowledge, this structural filter severs global mandates from grounded ecological realities, leading to maladaptive conservation interventions. To bridge this gap, we propose specific interventions targeting the financial, administrative and evaluative pillars of the discipline. By matching structural reform with internal empowerment, we move beyond rhetoric to ensure effective planetary stewardship.

Information

Type
Perspectives
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Foundation for Environmental Conservation
Figure 0

Figure 1. Financial barriers scale with journal prestige. The relationship between SCImago Journal Rank (SJR) and standard article processing charges (APCs) for journals in the Environmental Science and Ecology categories (n = 224) is shown. The dashed line represents a locally weighted scatterplot smoothing (LOESS) curve fitted using the ggplot2 package in R version 4.5.2 (R Core Team 2025), visualizing the non-linear trend; the shaded region indicates the 95% confidence interval. APC values reflect the undiscounted list price for primary research articles under Gold (fully open access) or Hybrid (subscription journals with open access options) models. To ensure comparability and bibliometric robustness, the analysis was restricted to journals in the first three quartiles (Q1 to Q3). Journals with variable costs, such as per-page fees, subscription-only models and Diamond open access models, were excluded. There is a significant positive correlation between prestige and APC (Pearson’s r = 0.56, p < 0.001).