Cogestion des ressources naturelles : une approche structurale pour quantifier la contribution des réseaux d'acteurs à la résilience des systèmes socio-écologiques

As anthropic activities are slowly pushing many ecosystems towards their functional tipping points, social-ecological resilience has become a pressing concern. Local stakeholders, acting within a diversity of groups — from grassroots organizations to higher-scale institutional structures — may act on these issues and collaborate to develop, promote, and implement more sustainable practices. From these repeated collaborations emerge complex networks, the topologies of which have been shown to either enhance or hinder social-ecological systems’ (SES) resilience. The main topological characteristics of a stakeholder network enhancing SES’s resilience include a combination of: a highly modular community structure, which helps groups of stakeholders develop and propose solutions both more innovative (by reducing knowledge homogeneity in the network), and close to their interest and values; high connectivity and synchronizability, in order to improve consensus building, social capital and learning capacity; and high robustness so as to prevent the first two characteristics from sharply decreasing if some stakeholders were to leave the network. These characteristics are straight-forward both in concept and in their mathematical implementation, and have often been used separately to discuss the structural qualities of stakeholder networks in case studies. However, some of these topological features inherently contradict each other. For example, modularity is in direct conflict with connectivity, which is in conflict with a network’s robustness. This issue makes the creation of a more global measure difficult, as the level to which stakeholders contribute to enhancing SES’s resilience cannot simply be a summation of these features, but instead needs to be the outcome of a delicate trade-off between them. The present study aims to: (1) explore the trade-offs at work between these structural features; (2) produce a measure of how well-suited empirical stakeholder networks are to enhancing the resilience of their SES; and (3) thoroughly analyze an empirical stakeholder network in the context, among other things, of its resilience-enhancing qualities. This dissertation is organized in four parts. The first part (Chapter 2) is a review of the literature on SES resilience. It identifies a series of structural features (as well as their corresponding network metrics) associated with resilience-enhancement in SES. The second part (Chapter 3) is a case study on the Eyre Peninsula (EP), a rural region of South Australia where land-use, as well as climate change, contribute to biodiversity erosion. For this case study, field work was conducted in 2010 and 2011, during which time a series of face-to-face interviews was conducted to populate a list of individuals — and groups of individuals — holding a stake in biodiversity conservation on the EP. The data was thereafter used to develop an online questionnaire documenting interactions between these stakeholders. The two steps led to produce a weighted, directed network of 129 stakeholders interacting through 1180 collaboration links. The third part (Chapter 4) describes a methodology to measure the level to which stakeholder networks contribute to resilience-building in SES. The method is articulated in two steps: (i) an optimization algorithm (simulated annealing — SA —) is used to craft a semi-random archetypal network which scores high in one compromise of modularity, connectivity, synchronizability, and robustness, and (ii) an empirical stakeholder networks (such as our EP network) is compared to the archetypal network through a measure of structural distance. The shorter the distance, the closer the empirical network is to its ideal configuration. The fourth and last part of the dissertation research (Chapter 5) is an improvement on the simulated annealing used in Chapter 4. As is frequently done for this kind of optimization technique, the SA used in Chapter 4 projected the four dimensions of the multi-objective problem into one (as a weighted average). While performing well, this only resolves one of the possible trade-offs between the objectives. To better explore the trade-offs at work in this optimization problem, a true multi-objective simulated annealing (MOSA) is proposed where, instead of optimizing one solution, the algorithm optimizes a multidimensional surface of solutions scoring better than the others in a least one of the objectives. This study, which focuses on the social part of SESs, improves our understanding of the stakeholder collaboration structures which, theoretically, best contribute to resilient SESs. It shows that while some resilience-enhancing topological characteristics are in conflict (modularity vs. connectivity, and connectivity vs. robustness to a lesser extent) others can be easily reconciled (connectivity vs. synchronizability, and, less-so, modularity vs. robustness). It also provides an intuitive method to quantitatively assess empirical stakeholder networks, which opens the way to comparisons between case studies, or monitoring of stakeholder network evolution through time. Additionally, this thesis provides a case study which highlights the importance of a key institutional group in coordinating collaborations and information exchanges among other stakeholders of potentially diverging interests and values.

Keyphrases: Eyre Peninsula, Social-ecological systems, Stakeholder group marginalization, Bridging capacity, Natural resources co-management, Eyre Peninsula, Stakeholder network, Social networks, Resilience, Optimization, Multi-objective simulated annealing