Evidence map›Paper›PMID 32874666›Full record

ArticleRoyal Society open science2020

Behavioural patterns behind the demise of the commons across different cultures.

M Jusup, F Maciel-Cardoso, C Gracia-Lázaro, C Liu, Z Wang, Y Moreno

Abstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

M JusupTokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology, Tokyo 152-8552, Japan.ORCID 0000-0002-0777-0425
F Maciel-CardosoInstitute for Biocomputation and Physics of Complex Systems, University of Zaragoza 50018, Spain.ORCID 0000-0002-2789-9250
C Gracia-LázaroInstitute for Biocomputation and Physics of Complex Systems, University of Zaragoza 50018, Spain.ORCID 0000-0002-9769-8796
C LiuCenter for Ecology and Environmental Sciences, Northwestern Polytechnical University, Xi'an 710072, People's Republic of China.
Z WangCenter for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an 710072, People's Republic of China.ORCID 0000-0002-8182-2852
Y MorenoInstitute for Biocomputation and Physics of Complex Systems, University of Zaragoza 50018, Spain.ORCID 0000-0002-0895-1893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common-pool resources require a dose of self-restraint to ensure sustainable exploitation, but this has often proven elusive in practice. To understand why, and characterize behaviours towards ecological systems in general, we devised a social dilemma experiment in which participants gain profit from harvesting a virtual forest vulnerable to overexploitation. Out of 16 Chinese and 15 Spanish player groups, only one group from each country converged to the forest's maximum sustainable yield. All other groups were overzealous, with about half of them surpassing or on the way to surpass a no-recovery threshold. Computational-statistical analyses attribute such outcomes to an interplay between three prominent player behaviours, two of which are subject to decision-making 'inertia' that causes near blindness to the resource state. These behaviours, being equally pervasive among players from both nations, imply that the commons fall victim to behavioural patterns robust to confounding factors such as age, education and culture.

Indexed as

conservationcooperationevolutionary game theorysocial dilemmasustainability

Identifiers

PMID32874666
PMCPMC7428227

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.