Fishery rent: a spatial and species level analysis for marine policy

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Fisheries rely on important renewable marine resources. Understanding the status of fish stocks and their role in food provisioning ecosystem services can help improve the management of the marine environment. While fish stock assessment is well established, research on the monetary valuation of fisheries provisioning ecosystem services remains limited, particularly at the level of individual species. To further contribute to the preservation of the marine environment for future generations, there is a strong need to develop and implement appropriate techniques for the valuation of fisheries resources. This study develops and demonstrates a method to estimate the economic value of (commercial) fisheries provisioning services at the level of individual species and fishing areas. The proposed technique fills this gap and is tested by using an Italian case study. Results provide the economic value of several commercial fisheries and move beyond data limitations to produce results for fisheries management and policy makers. We conclude by calling attention for further expansion to other countries and improvements to link economic valuation, habitat mapping and ecological research in policy analysis discussion.
Full text 957 characters · extracted from oa-doi-fallback · click to expand
Preprint ARPHA Preprints https://doi.org/10.3897/arphapreprints.e197291 (27 Apr 2026) https://doi.org/10.3897/arphapreprints.e197291 (27 Apr 2026) Submitted to One Ecosystem Other versions: - Preprint InfoPreprint Info - CiteCite - MetricsMetrics - CommentComment - RelatedRelated - CitedCited ARPHA Preprints doi: 10.3897/arphapreprints.e197291 First posted 27 Apr 2026 Authors Valentina Di Gennaro - Corresponding author University of East Anglia, Norwich, United Kingdom University of East Anglia, Norwich, United Kingdom University of East Anglia, Norwich, United Kingdom University of East Anglia, Norwich, United Kingdom Conflict of interest The authors have declared that no competing interests exist. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0