Environmental governance is the platform from which people, organisations, and institutions engage in the design and implementation of policies to achieve desired environmental outcomes. Globally, there is a trend towards collaborative environmental governance for conserving biodiversity at landscape scales. Landscapes are complex social-ecological systems, that bring together many stakeholders, ecosystems, land uses, organisations, and institutions. Working across traditional boundaries, landscape-scale approaches support social-ecological resilience as they contextualise environmental challenges to more appropriate management scales whilst encouraging ecological connectivity and the conservation of vital ecosystem services.
The inherent complexity in landscapes pose many challenges for governance. Adaptive governance has been proposed as a solution as it aims to develop adaptive capacity by establishing learning feedback at multiple interconnected levels. This enables governance regimes to adapt their practices and processes in response to disturbance and uncertainty. In this manner, governance regimes can become resilient, as it enables them to reconfigure without losing crucial functioning. There exists a call for more research into mechanisms and approaches that can enhance the operationalisation of adaptive governance for landscape-scale approaches.
Accordingly, using an interdisciplinary mixed-method and participatory approach, this thesis contributes to advancing the understanding of mechanisms and approaches that can be used to enhance adaptive governance in landscape-scale conservation. The study is situated within a multi-level landscape-scale conservation initiative, co-funded by the Global Environment Facility. This study describes interventions aimed to catalyse social learning, through stakeholder engagement processes, at the with the Project Steering Committee and explores mechanisms to evaluate and enhance learning at the local landscape level.
Through social learning interventions with the project steering committee, this research identified six practical principles for advancing adaptive governance in donor-funded landscape-scale conservation. These were : (i) adding soft skill sets as recruitment criteria for landscape coordinators; (ii) redesigning monitoring and evaluation protocols to include narrative data; (iii) enabling flexible financial protocols; (iv) redesigning the donor-funder governing protocols to allow for a project pre-implementation phase; (v) planning for social learning processes at the highest decision-making; and (vi) embedding researchers to facilitate the co-production of usable knowledge.
At the site-level, through an in-depth case study with the Dassenberg Coastal Catchment Partnership (DCCP), two studies were performed. Firstly, social network analysis was used to understand how the network configuration impacted the learning capacity and network resilience of the DCCP. We found that the DCCP had good structural features to enable learning, but that the noted high level of centrality makes it vulnerable to the loss of core actors and less equipped to deal with complex challenges.
Secondly, a social-ecological inventory was used to look at the alignment between the objectives set out by conservation partners in 2012 and those deemed important by a wider array of DCCP stakeholders in 2018 to inform adaptive practices for the DCCP. Of the shared stakeholder objectives identified three objectives were shared between all affiliations, namely, biodiversity conservation, socio-economic development, and coordination of the landscape approach. The first two aligned with the top-down landscape management objectives, and the latter did not. Coordinating landscape approaches in landscape-scale initiatives is crucial for long-term success and should be included as a landscape objective to ensure adequate resource allocation.
Collectively, this research highlights general insights that may advance the adaptive governance of landscape-scale conservation initiatives, especially in a multi-level donor-funded context.
Keywords: Adaptive capacities, adaptive governance, biodiversity conservation, collaborative governance, donor-funded interventions, landscape-scale conservation, multi-level governance, social-ecological systems, social learning