Networks of climate change: connecting causes and consequences

Holme, Petter; Rocha, Juan Carlos

doi:10.1007/s41109-023-00536-9

Cited by 11 publications

(5 citation statements)

References 120 publications

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“…However, the effectiveness of these institutional complexes in tackling the interconnected problems remains unclear. While some argue that polycentric complexes can be effective under certain conditions [ 71 , 72 ], there is limited understanding of the configurations that allow for maximum synergy, surpassing the cumulative effects of individual institutions [ 73 ]. Consider, for example, the coordination required among dozens of regional fisheries management organizations [ 74 ].…”

Section: Conceptual Frameworkmentioning

confidence: 99%

The latent net effectiveness of institutional complexes: a heuristic model

Adipudi,

Kim

2024

Phil. Trans. R. Soc. A.

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International institutions strive to achieve their own objectives while operating within a complex network of interdependencies. These interdependencies create an extensive web of relationships that serve as potential pathways for broader institutional impacts. The actions taken by individual institutions, their mutual influences, and the pattern of connectivity collectively shape the overall performance of institutional complexes. Understanding the performance of these complexes is crucial, yet we currently lack a methodology to assess it. To address this gap, we have developed a conceptual framework that integrates three distinct areas of study on three different scales: institutional effectiveness, institutional interlinkages, and institutional networks. This framework enables us to consider what we call the latent net effectiveness, or collective problem-solving potential, of a group of interconnected institutions. To put this framework into practice, we have devised a heuristic model, drawing from the extensive literature on international environmental institutions. As an illustrative example, we have applied this model to a network of 378 multilateral environmental agreements with 810 known issue linkages. Our work underscores the relevance of considering the system-level properties of institutional complexes and emphasizes the need for timely network-based governance and policy interventions to enhance the overall effectiveness of institutional complexes. This article is part of the theme issue ‘A complexity science approach to law and governance'.

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Section: Conceptual Frameworkmentioning

confidence: 99%

The latent net effectiveness of institutional complexes: a heuristic model

Adipudi,

Kim

2024

Phil. Trans. R. Soc. A.

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“…Communities collaborate with networks and agencies at (1) group level, "Bang Num Phueng Sufficiency Economy Group", (2) local level, there are six sub-districts "Khung BangKachao Network" (Rambaree et al, 2019) (Table 7), and (3) at the national level "OUR Khung BangKachao" in which thirty-four organizations in the private and public sectors collaborate. Holme and Rocha (2023) reflect that networking can help address the complexity of climate change. Adaptation options are created after climate change is recognized, understood, and accepted.…”

Section: Learning and Experiences In Community Resource Managementmentioning

confidence: 99%

Factors in Community Adaptation for Climate Change Mitigation in Thailand

Traiyut,

Srijuntrapun,

Rawang

2024

Environ. Nat. Resour. J.

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This study reflects the experiences of communities who have adapted to climate change in three different geological locations in the country of Thailand: by the riverside, coast, and in the mountains. The communities presented the lessons learned and identified key adaptation factors. The study used in-depth interviews and focus group discussions, with results showing that the community’s learning and adaptation to climate change were at a high level. The results broaden understanding of climate change in these locations and provide information for resource management approaches. Among the seven factors, five factors illustrated that they were highly adapted, including: (1) applying knowledge about nature, ecosystems, and traditional wisdom; (2) management that allowed the use of adaptations; (3) a shared vision of success; (4) collaboration; and (5) having a variety of options and approaches. Two factors that illustated that the community was only moderately adapted included: (1) learning about violent events and disasters; and (2) following government guidelines. It was found that a lack of information about the ecosystems and environmental resources they required for large-scale infrastructure construction caused issues. This is a problem, and the government must consult with local communities when setting long-term plans and assessing needs, because communities have diverse livelihoods and depend on natural resources. Hence, future studies should include climate change awareness and understanding of what is required by adding community needs linked to climate change adaptation into state development plans as well as utilizing the wisdom and traditional knowledge involving ecology held by these communities into sustainability plans.

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“…community network considers interactions among subsystems, which represents the connectivity and strength of interactions [106,108]. Another network-based approach is proposed by Goswami et al [109], and applied successfully to global stock indices for the detection of transitions into well-known periods of politico-economic volatility.…”

Section: Quantifiermentioning

confidence: 99%

Early warning signals for critical transitions in complex systems

2023

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In this topical review, we present a brief overview of the different methods and measures to detect the occurrence of critical transitions in complex systems. We start by introducing the mechanisms that trigger critical transitions, and how they relate to early warning signals (EWS) and briefly mention the conventional measures based on critical slowing down, as computed from data and applied to real systems. We then present in detail the approaches for multivariate data, including those defined for complex networks. More recent techniques like the warning signals derived from the recurrence pattern underlying the data, are presented in detail as measures from recurrence plots and recurrence networks. This is followed by a discussion on how methods based on machine learning are used most recently, to detect critical transitionsin real and simulated data. Towards the end, we summarise the challenges involved while computing the EWS from real-world data and conclude with our outlook and perspective on future trends in this area.

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Networks of climate change: connecting causes and consequences

Cited by 11 publications

References 120 publications

The latent net effectiveness of institutional complexes: a heuristic model

The latent net effectiveness of institutional complexes: a heuristic model

Factors in Community Adaptation for Climate Change Mitigation in Thailand

Early warning signals for critical transitions in complex systems

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