Stakeholder and social network analysis for understanding forest (fires) management – A contribution based on a systematic literature review

Finding strategies and measures to prevent and mitigate wildfires is at the top of the socio-political agendas in Europe. This is due to an increase in the recurrence and intensity of wildfires, but also to constraints related to fire planning and management system, which includes and deals with multiple organizations, entities, and stakeholders, fostering diverse potential tensions and conflicts, and generally based on poor communication, which, altogether, may compromise a successful operationalization of fire management policies. Stakeholder analysis (SA) is a methodology that can help to understand and cope with those limitations. Its application enables the understanding of the relevant actors, their goals, interests, plans, influence levels, resources, behavior, and interrelations. Considering the limitations of SA methods in determining the role of communication networks and understanding the patterns of interaction, Social Network Analysis (SNA) emerges as an essential tool for assessing the relationships among actors, their positions within a network, and the drivers of the different interactions. In this vein, a systematic literature review was conducted to explore how SA and SNA have been addressed by European studies regarding forests and, particularly, wildfires. The 41 articles selected were subjected to a quantitative and qualitative thematic analysis considering several dimensions, such as its main purpose and expected impact, the research methods used, the stakeholders' categorization, or the limitations and contributions. One of the study's more significant findings relates to the crucial roles played by the different approaches to understand the existing system and to support policy- and decision-making processes. • Social-ecological systems, like forest management, benefit from holistic and proactive approaches. • SA identifies and categorizes stakeholders, while SNA reveals relationship patterns. • SA and SNA are crucial for policy-decision-making and participatory practices. • Analyzing relationships and networks supports effective management and conservation outcomes. • Fire Governance in Europe can benefit from a wider use of SA and SNA.

Authors

Institutions

Publication Details

Journal
Forest Policy and Economics
Published
2024-12-21
DOI
https://doi.org/10.1016/j.forpol.2024.103396
Citations
2
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
0.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stakeholder and social network analysis for understanding forest (fires) management – A contribution based on a systematic literature review

Sandra Valente, Elisabete Figueiredo, Caio P. Fernandes, Ana Carolina Suarez Polido
2 citations
Forest Policy and Economics
Sustainability and Climate Change Governance
0.57
article

Stakeholder and social network analysis for understanding forest (fires) management – A contribution based on a systematic literature review

Sandra Valente, Elisabete Figueiredo, Caio P. Fernandes, Ana Carolina Suarez Polido
article en
2 citations

Abstract

Finding strategies and measures to prevent and mitigate wildfires is at the top of the socio-political agendas in Europe. This is due to an increase in the recurrence and intensity of wildfires, but also to constraints related to fire planning and management system, which includes and deals with multiple organizations, entities, and stakeholders, fostering diverse potential tensions and conflicts, and generally based on poor communication, which, altogether, may compromise a successful operationalization of fire management policies. Stakeholder analysis (SA) is a methodology that can help to understand and cope with those limitations. Its application enables the understanding of the relevant actors, their goals, interests, plans, influence levels, resources, behavior, and interrelations. Considering the limitations of SA methods in determining the role of communication networks and understanding the patterns of interaction, Social Network Analysis (SNA) emerges as an essential tool for assessing the relationships among actors, their positions within a network, and the drivers of the different interactions. In this vein, a systematic literature review was conducted to explore how SA and SNA have been addressed by European studies regarding forests and, particularly, wildfires. The 41 articles selected were subjected to a quantitative and qualitative thematic analysis considering several dimensions, such as its main purpose and expected impact, the research methods used, the stakeholders' categorization, or the limitations and contributions. One of the study's more significant findings relates to the crucial roles played by the different approaches to understand the existing system and to support policy- and decision-making processes. • Social-ecological systems, like forest management, benefit from holistic and proactive approaches. • SA identifies and categorizes stakeholders, while SNA reveals relationship patterns. • SA and SNA are crucial for policy-decision-making and participatory practices. • Analyzing relationships and networks supports effective management and conservation outcomes. • Fire Governance in Europe can benefit from a wider use of SA and SNA.

Forest Policy and EconomicsVol. 170
Association for the Development of Douro Viticulture (PT), University of Aveiro (PT)
Fundação para a Ciência e a Tecnologia
Life in Land
Openalex Percentile: Top 32%
Sustainability and Climate Change Governance
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.