Eliciting the plurality of causal reasoning in social-ecological systems research DOI Open Access
Tilman Hertz, Thomas Banitz, Rodrigo Martínez Peña

et al.

Published: Nov. 16, 2023

Understanding causation in social-ecological systems (SES) is indispensable forpromoting change toward sustainable outcomes. However, studying causal relations SES ischallenging because they are often complex and intertwined, different disciplines areinvolved their analysis. While there agreement the field that no single research approach(RA) can comprehensively explain (or absence of it), a lack abilityto deal with this diversity. Underlying diversity challenge to it differentcausal reasonings rarely explicit. Awareness hidden assumptions crucial forunderstanding how reasoning RA gets constituted, promote integration,translation, or juxtaposition approaches. We identify following elements asparticularly relevant for understanding reasoning: Methods, frameworks theories,accounts causation, analytical focus notions. begin idea one theseelements typically figures as an entry point RA. This distinctive particularlyimportant generates path dependence which orients reasoning. In subsequentstep, when approach applied, concretizes result particularconstellation remaining elements. come these insights by application offour same case (the collapse Baltic cod 1980s).On basis our findings we developed guide analysis raisingawareness assumptions, key relation between agiven also facilitate combination purposes, such asgetting more comprehensive interdisciplinary discoveringunknowns, generating learning, articulating theories, simply supporting reflexivity.

Language: Английский

Transforming a world that never stands still DOI Creative Commons
Tilman Hertz, Anja Klein, María Mancilla García

et al.

Ecosystems and People, Journal Year: 2025, Volume and Issue: 21(1)

Published: March 16, 2025

Language: Английский

Citations

1
Sustainable Intensification of Small-Scale Aquaculture Systems Depends on the Local Context and Characteristics of Producers DOI
Sonja Radosavljevic, Ezio Venturino, Francesca Acotto

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Integrating partial least square structural equation modelling and machine learning for causal exploration of environmental phenomena DOI
Oluwafemi Adewole Adeyeye,

Abdelrahman M Hassaan,

Muhammad Waqas Yonas

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121358 - 121358

Published: March 1, 2025

Language: Английский

Citations

0
Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena DOI Creative Commons
Maja Schlüter‬, Nanda Wijermans, Blanca González‐Mon

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106444 - 106444

Published: March 1, 2025

Language: Английский

Citations

0
Complex adaptive systems science in the era of global sustainability crisis DOI Creative Commons
An Li, B. L. Turner, Jianguo Liu

et al.

Geography and sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

2
Navigating simplicity and complexity of social-ecological systems through a dialogue between dynamical systems and agent-based models DOI Creative Commons
Sonja Radosavljevic, Udita Sanga, Maja Schlüter‬

et al.

Ecological Modelling, Journal Year: 2024, Volume and Issue: 495, P. 110788 - 110788

Published: July 18, 2024

Social-ecological systems research aims to understand the nature of social-ecological phenomena, find ways foster or manage conditions under which desired phenomena occur reduce negative consequences undesirable phenomena. Such challenges are often addressed using dynamical models (DSM) agent-based (ABM). Here we develop an iterative procedure for combining DSM and ABM leverage their strengths gain insights that surpass obtained by each approach separately. The uses results as inputs a development. In following steps, analyses guide future analysis vice versa. This dialogue, more than having tight connection between models, enables pushing frontier, expanding set questions insights. We illustrate our method with example poverty traps innovation in agricultural systems, but conclusions general can be applied other DSM-ABM combinations.

Language: Английский

Citations

2
Eliciting the plurality of causal reasoning in social-ecological systems research DOI Open Access
Tilman Hertz, Thomas Banitz, Rodrigo Martínez Peña

et al.

Published: Nov. 16, 2023

Understanding causation in social-ecological systems (SES) is indispensable forpromoting change toward sustainable outcomes. However, studying causal relations SES ischallenging because they are often complex and intertwined, different disciplines areinvolved their analysis. While there agreement the field that no single research approach(RA) can comprehensively explain (or absence of it), a lack abilityto deal with this diversity. Underlying diversity challenge to it differentcausal reasonings rarely explicit. Awareness hidden assumptions crucial forunderstanding how reasoning RA gets constituted, promote integration,translation, or juxtaposition approaches. We identify following elements asparticularly relevant for understanding reasoning: Methods, frameworks theories,accounts causation, analytical focus notions. begin idea one theseelements typically figures as an entry point RA. This distinctive particularlyimportant generates path dependence which orients reasoning. In subsequentstep, when approach applied, concretizes result particularconstellation remaining elements. come these insights by application offour same case (the collapse Baltic cod 1980s).On basis our findings we developed guide analysis raisingawareness assumptions, key relation between agiven also facilitate combination purposes, such asgetting more comprehensive interdisciplinary discoveringunknowns, generating learning, articulating theories, simply supporting reflexivity.

Language: Английский

Citations

0