Abstract

Encouragement of learning is considered to be central to resilience of social-ecological systems (SESs) to unknown and unforeseeable shocks. However, despite the consensus on the centrality of learning, little research has been done on the details of how learning should be encouraged to enhance adaptive capacity for resilience. This study contributes to bridging this research gap by examining the existing data from a behavioral experiment on SES that involves learning. We generate new hypotheses regarding how learning should be encouraged by comparing the learning processes of human-subject groups that participated in the experiment. Our findings suggest that under environmental stability, groups may be able to perform well without frequent outer-loop (or double-loop) learning. They can still succeed as long as they tightly coordinate on shared strategies along with active monitoring of SESs and user participation in decision-making. However, such groups may be fragile under s. Only the groups that experience active outer-loop learning and monitoring of SESs are likely to remain resilient under environmental variability.

Original languageEnglish (US)
Pages (from-to)69-78
Number of pages10
JournalGlobal Environmental Change
Volume37
DOIs
StatePublished - Mar 1 2016

Fingerprint

resilience
learning
ecological system
social system
management
Group
monitoring
experiment
learning process
decision making
participation
experience

Keywords

  • Adaptive co-management
  • Adaptive governance
  • Adaptive management
  • Behavioral experiment
  • General resilience
  • Loop learning

ASJC Scopus subject areas

  • Ecology
  • Management, Monitoring, Policy and Law
  • Geography, Planning and Development
  • Global and Planetary Change

Cite this

Learning for resilience-based management : Generating hypotheses from a behavioral study. / Yu, David J.; Shin, Hoon C.; Pérez, Irene; Anderies, John; Janssen, Marcus.

In: Global Environmental Change, Vol. 37, 01.03.2016, p. 69-78.

Research output: Contribution to journalArticle

@article{c57f6752b93f49dca6134a4bb5905bdb,
title = "Learning for resilience-based management: Generating hypotheses from a behavioral study",
abstract = "Encouragement of learning is considered to be central to resilience of social-ecological systems (SESs) to unknown and unforeseeable shocks. However, despite the consensus on the centrality of learning, little research has been done on the details of how learning should be encouraged to enhance adaptive capacity for resilience. This study contributes to bridging this research gap by examining the existing data from a behavioral experiment on SES that involves learning. We generate new hypotheses regarding how learning should be encouraged by comparing the learning processes of human-subject groups that participated in the experiment. Our findings suggest that under environmental stability, groups may be able to perform well without frequent outer-loop (or double-loop) learning. They can still succeed as long as they tightly coordinate on shared strategies along with active monitoring of SESs and user participation in decision-making. However, such groups may be fragile under s. Only the groups that experience active outer-loop learning and monitoring of SESs are likely to remain resilient under environmental variability.",
keywords = "Adaptive co-management, Adaptive governance, Adaptive management, Behavioral experiment, General resilience, Loop learning",
author = "Yu, {David J.} and Shin, {Hoon C.} and Irene P{\'e}rez and John Anderies and Marcus Janssen",
year = "2016",
month = "3",
day = "1",
doi = "10.1016/j.gloenvcha.2016.01.009",
language = "English (US)",
volume = "37",
pages = "69--78",
journal = "Global Environmental Change",
issn = "0959-3780",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Learning for resilience-based management

T2 - Generating hypotheses from a behavioral study

AU - Yu, David J.

AU - Shin, Hoon C.

AU - Pérez, Irene

AU - Anderies, John

AU - Janssen, Marcus

PY - 2016/3/1

Y1 - 2016/3/1

N2 - Encouragement of learning is considered to be central to resilience of social-ecological systems (SESs) to unknown and unforeseeable shocks. However, despite the consensus on the centrality of learning, little research has been done on the details of how learning should be encouraged to enhance adaptive capacity for resilience. This study contributes to bridging this research gap by examining the existing data from a behavioral experiment on SES that involves learning. We generate new hypotheses regarding how learning should be encouraged by comparing the learning processes of human-subject groups that participated in the experiment. Our findings suggest that under environmental stability, groups may be able to perform well without frequent outer-loop (or double-loop) learning. They can still succeed as long as they tightly coordinate on shared strategies along with active monitoring of SESs and user participation in decision-making. However, such groups may be fragile under s. Only the groups that experience active outer-loop learning and monitoring of SESs are likely to remain resilient under environmental variability.

AB - Encouragement of learning is considered to be central to resilience of social-ecological systems (SESs) to unknown and unforeseeable shocks. However, despite the consensus on the centrality of learning, little research has been done on the details of how learning should be encouraged to enhance adaptive capacity for resilience. This study contributes to bridging this research gap by examining the existing data from a behavioral experiment on SES that involves learning. We generate new hypotheses regarding how learning should be encouraged by comparing the learning processes of human-subject groups that participated in the experiment. Our findings suggest that under environmental stability, groups may be able to perform well without frequent outer-loop (or double-loop) learning. They can still succeed as long as they tightly coordinate on shared strategies along with active monitoring of SESs and user participation in decision-making. However, such groups may be fragile under s. Only the groups that experience active outer-loop learning and monitoring of SESs are likely to remain resilient under environmental variability.

KW - Adaptive co-management

KW - Adaptive governance

KW - Adaptive management

KW - Behavioral experiment

KW - General resilience

KW - Loop learning

UR - http://www.scopus.com/inward/record.url?scp=84958154386&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958154386&partnerID=8YFLogxK

U2 - 10.1016/j.gloenvcha.2016.01.009

DO - 10.1016/j.gloenvcha.2016.01.009

M3 - Article

AN - SCOPUS:84958154386

VL - 37

SP - 69

EP - 78

JO - Global Environmental Change

JF - Global Environmental Change

SN - 0959-3780

ER -