Evidence map›Paper›PMID 33471815›Full record

ArticlePloS one2021

Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy.

Monica Salvioli, Johan Dubbeldam, Kateřina Staňková, Joel S Brown

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Stackelberg evolutionary game theory: how to manage evolving systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  5. Article
  6. Modeling cancer's ecological and evolutionary dynamics.Medical oncology (Northwood, London, England) · 2023
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 3 countries.

Monica SalvioliDepartment of Mathematics, Politecnico di Milano, Milano, Italy.ORCID 0000-0002-7686-2753
Johan DubbeldamDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Kateřina StaňkováDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.
Joel S BrownDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Delft University of Technology · NLMaastricht University · NLMoffitt Cancer Center · USUniversity of Trento · IT

Funding

The Physi(ologi)cal Microenvironment and its Role in Tumor Invasion and MetastaseU54CA143970 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2009 to 2014
$9.3M
Application of Evolutionary Principles to Maintain Cancer Control (PQ21)R01CA170595 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2012 to 2015
$2.1M
NCI NIH HHS R01 CA170595NCI NIH HHS U54 CA143970
6 · The paper itself

Abstract

Fish populations subject to heavy exploitation are expected to evolve over time smaller average body sizes. We introduce Stackelberg evolutionary game theory to show how fisheries management should be adjusted to mitigate the potential negative effects of such evolutionary changes. We present the game of a fisheries manager versus a fish population, where the former adjusts the harvesting rate and the net size to maximize profit, while the latter responds by evolving the size at maturation to maximize the fitness. We analyze three strategies: i) ecologically enlightened (leading to a Nash equilibrium in game-theoretic terms); ii) evolutionarily enlightened (leading to a Stackelberg equilibrium) and iii) domestication (leading to team optimum) and the corresponding outcomes for both the fisheries manager and the fish. Domestication results in the largest size for the fish and the highest profit for the manager. With the Nash approach the manager tends to adopt a high harvesting rate and a small net size that eventually leads to smaller fish. With the Stackelberg approach the manager selects a bigger net size and scales back the harvesting rate, which lead to a bigger fish size and a higher profit. Overall, our results encourage managers to take the fish evolutionary dynamics into account. Moreover, we advocate for the use of Stackelberg evolutionary game theory as a tool for providing insights into the eco-evolutionary consequences of exploiting evolving resources.

Indexed as

FisheriesModels, TheoreticalAnimalsBody SizeFishesGame Theory

Identifiers

PMID33471815
PMCPMC7817040
OpenAlexW3122047258

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.