Positive Social-Ecological Feedbacks in Community-Based Conservation DOI Creative Commons
Anastasia Quintana, Alfredo Girón‐Nava, Samuel S. Urmy

et al.

Frontiers in Marine Science, Journal Year: 2021, Volume and Issue: 8

Published: May 26, 2021

Marine area-based conservation measures including no-take zones (areas with no fishing allowed) are often designed through lengthy processes that aim to optimize for ecological and social objectives. Their (semi) permanence generates high stakes in what seems like a one-shot game. In this paper, we theoretically empirically explore model of short-term prioritizes adaptive co-management: temporary areas closed fishing, by the fishers they affect, approved government, adapted every 5 years. model, learning trust-building between government fisheries scientists. We use integrated social-ecological theory case study network such closures (“fishing refugia”) northwest Mexico hypothesize feedback loop trust, design, outcomes. argue that, management, outcomes can be mutually reinforcing as long initial designs ecologically “good enough” supported context. This type management also has potential adapt climate change other changes. predicts dangerous possibility low trust among stakeholders may lead poor lack benefits, eroding confidence tool’s capacity, shrinking size, even lower likelihood benefits. our case, however, did not occur, despite design some areas, likely due buffering effects alternative discuss both danger tool co-management commoning.

Language: Английский

A manifesto for applying behavioural science DOI Open Access
Michael Hallsworth

Nature Human Behaviour, Journal Year: 2023, Volume and Issue: 7(3), P. 310 - 322

Published: March 20, 2023

Language: Английский

Citations

91
From plate to plug: The impact of offshore renewables on European fisheries and the role of marine spatial planning DOI
Vanessa Stelzenmüller, Jonas Letschert,

Antje Gimpel

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2022, Volume and Issue: 158, P. 112108 - 112108

Published: Jan. 13, 2022

Language: Английский

Citations

54
Simulating fishery dynamics by combining empirical data and behavioral theory DOI Creative Commons
Jonas Letschert, Birgit Müller, Gunnar Dreßler

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 501, P. 111036 - 111036

Published: Jan. 31, 2025

Language: Английский

Citations

1
Cognition and behavior in context: a framework and theories to explain natural resource use decisions in social-ecological systems DOI Creative Commons
Sara Constantino, Maja Schlüter‬, Elke U. Weber

et al.

Sustainability Science, Journal Year: 2021, Volume and Issue: 16(5), P. 1651 - 1671

Published: July 3, 2021

Abstract The complex, context-dependent, and dynamic nature of human behavior is increasingly recognized as both an important cause sustainability problems potential leverage for their solution. Human beings are diverse, the social, ecological, institutional settings in which they embedded. Despite this recognition extensive knowledge about decision-making behavioral sciences, empirical analysis, formal models, decision support policy natural resource management often either neglect or based on narrow overly simplistic assumptions. Integrating insights from sciences into research remains a challenge. This part due to abundance fragmentation theories across social challenges translating disciplines. We provide set tools integration model-based research. In particular, we (i) develop process-oriented framework embedded cognition (Human Behavior-Cognition Context HuB-CC), (ii) select initial 31 with illuminate contexts map them onto framework, (iii) suggest pathways using mapping encourage trans-disciplinary investigations, identify compare theories, facilitate research, ultimately governance sustainability. Our theory selection, offer foundation—a “living” platform—upon future collaborative efforts can build create scholars practitioners working at intersection management.

Language: Английский

Citations

56
Untangling social–ecological interactions: A methods portfolio approach to tackling contemporary sustainability challenges in fisheries DOI Creative Commons
Emilie Lindkvist, Kara E. Pellowe, Steven M. Alexander

et al.

Fish and Fisheries, Journal Year: 2022, Volume and Issue: 23(5), P. 1202 - 1220

Published: June 8, 2022

Abstract Meeting the objectives of sustainable fisheries management requires attention to complex interactions between humans, institutions and ecosystems that give rise fishery outcomes. Traditional approaches studying often do not fully capture, nor focus on these people ecosystems. Despite advances in scope scale encompassed by more holistic methods, for example ecosystem‐based approaches, no single method can adequately capture complexity human–nature interactions. Approaches combine quantitative qualitative analytical are necessary generate a deeper understanding illuminate pathways address sustainability challenges. However, combining methods is inherently challenging multiple from different, disciplinarily distinct origins, demanding reflexivity researchers involved. Social–ecological systems’ research has history utilising combinations across social ecological realms account spatial temporal dynamics, uncertainty feedbacks key components fisheries. We describe several categories (statistical modelling, network analysis, dynamic analysis controlled behavioural experiments) highlight their applications research, strengths limitations, data needs overall objectives. then discuss important considerations portfolio development process, including reflexivity, epistemological ontological concerns illustrate via three case studies. show that, expanding portfolios, will be better equipped study shaping contribute solutions management.

Language: Английский

Citations

25
A will-o’-the wisp? On the utility of voluntary contributions of data and knowledge from the fishing industry to marine science DOI Creative Commons
Nathalie A. Steins, Steven Mackinson, Stephen C. Mangi

et al.

Frontiers in Marine Science, Journal Year: 2022, Volume and Issue: 9

Published: Dec. 19, 2022

For future sustainable management of fisheries, we anticipate deeper and more diverse information will be needed. Future needs include not only biological data, but also that can come from fishers, such as real-time ‘early warning’ indicators changes at sea, socio-economic data fishing strategies. The industry, in our experience, shows clear willingness to voluntarily contribute experiential knowledge, there is little evidence current institutional frameworks for science are receptive equipped accommodate contributions. Current approaches producing knowledge support fisheries need critical re-evaluation, including the contributions industry make. Using examples well-developed advisory systems Europe, United States, Canada, Australia New Zealand, investigate three interrelated issues inhibiting systematic integration voluntary science: (1) concerns about quality; (2) beliefs limitations useability unique fishers’ knowledge; (3) perceptions impact on integrity science. We show whilst these real, they addressed. Entrenching effective science-industry research collaboration (SIRC) calls action specific areas; (i) a move towards alternative modes production; (ii) establishing appropriate quality assurance frameworks; (iii) transitioning facilitating governance structures. Attention must paid science-policy-stakeholder interface. Better definition industry’s role contributing improve credibility legitimacy scientific process, resulting management.

Language: Английский

Citations

23
Agent decision-making: The Elephant in the Room - Enabling the justification of decision model fit in social-ecological models DOI Creative Commons
Nanda Wijermans, Geeske Scholz, Émile Chappin

et al.

Environmental Modelling & Software, Journal Year: 2023, Volume and Issue: 170, P. 105850 - 105850

Published: Oct. 10, 2023

Agent-based models are particularly suitable to reflect the dynamics of humans, nature, and their interactions, making them a crucial approach for understanding social-ecological systems. The formalisations human decision-making central resulting model behaviours. Despite awareness complexity behaviour in systems research, scholars tend represent decision-makers as simplified, perfectly informed rational optimisers, without explicitly considering fit with decision context. Key reasons lacking uptake social theories insights. To advance, we need practice reflecting, sharing, inquiring on justification its This paper stimulates this by 1) supporting (DM) describing DM landscape providing guiding questions; 2) researchers alternative DMs through survey-based impression modeller practices, highlighting frontiers inspiration future research.

Language: Английский

Citations

15
Embedding Cognition: Judgment and Choice in an Interdependent and Dynamic World DOI

Elke U. Weber,

Sara Constantino, Maja Schlüter‬

et al.

Current Directions in Psychological Science, Journal Year: 2023, Volume and Issue: 32(4), P. 328 - 336

Published: May 19, 2023

Society is facing pressing interrelated, multilevel, and systemic challenges. Human consumption patterns are driving biodiversity loss climate change, with unevenly distributed impacts that exacerbate preexisting inequalities. Structural or systems-level solutions to these challenges depend on group- individual-level vice versa. Although cognitive psychology has advanced our understanding of individual group-level decision-making, it rarely links microlevel processes behaviors network- structures, resulting in a fragmented theory how collective action can drive broader social change. For example, established physical, social, historical contexts shape perception, reasoning, decision-making but largely ignored the dynamic interdependent relationship between behavior contexts. In this review, we urge researchers move beyond focus static cognition incorporate deeper theorizing about temporal dynamics feedbacks individuals which they embedded. We review literature emphasizing role context shaping psychological as well emerging research considers embedded complex adaptive systems. Complex systems frameworks suited study among structures inhabit. The integration perspectives may thus offer traction identifying solution pathways complex, multilevel by pointing theories methods integrate across levels analysis account for coupled nature-society

Language: Английский

Citations

14
Using agent-based modelling to explore behavioural dynamics affecting our climate DOI Creative Commons

Wander Jager

Current Opinion in Psychology, Journal Year: 2021, Volume and Issue: 42, P. 133 - 139

Published: July 10, 2021

This article introduces the methodology of agent-based modelling (ABM), explains how it contributes to understanding dynamics climate-relevant behaviour and discusses challenges implementing behavioural theory in ABMs. Next, an overview will be given on recent advances environmentally relevant The conclusions address future ABM tool context research education.

Language: Английский

Citations

29
Social Agents? A Systematic Review of Social Identity Formalizations DOI Creative Commons
Geeske Scholz, Nanda Wijermans, Rocco Paolillo

et al.

Journal of Artificial Societies and Social Simulation, Journal Year: 2023, Volume and Issue: 26(2)

Published: Jan. 1, 2023

Simulating collective decision-making and behaviour is at the heart of many agent-based models (ABMs).However, representation social context its influence on an agent's remains challenging.Here, Social Identity Approach (SIA) from psychology, offers a promising explanation, as it describes how people behave while being part group, groups interact these interactions ingroup norms can change over time.SIA valuable for various application domains also challenging to formalise.To address this challenge enable modellers learn existing work, we took stock ABM formalisations SIA present systematic review in ABMs.Our results show diversity areas (parts of) without any converging practice towards default formalisation.Models range simple (cognitively) rich, with group abstract tradition opinion dynamics employing specify group-based influence.We found some complex cognitive incorporating contextual behaviour.When considering function models, representing collectives, modelling unpacking all stood out.Our was inventory formalisation attached using very socialpsychological theory ABMs, revealing tendency reference domain-specific theories remain vague.

Language: Английский

Citations

12