forest dynamic modelling ; complexity science; landscape connectivity ; natural disturbances; climate change; network theory; ecological resilience; functional diversity ; forest management
Aquilué Núria, Messier Christian, Martins Kyle T., Dumais-Lalonde Véronique, Mina Marco (2021), A simple-to-use management approach to boost adaptive capacity of forests to global uncertainty, in Forest Ecology and Management
, 481, 118692-118692.
Mina Marco, Messier Christian, Duveneck Matthew, Fortin Marie‐Josée, Aquilué Núria (2020), Network analysis can guide resilience‐based management in forest landscapes under global change, in Ecological Applications
Messier Christian, Bauhus Jürgen, Doyon Frederik, Maure Fanny, Sousa-Silva Rita, Nolet Philippe, Mina Marco, Aquilué Núria, Fortin Marie-Josée, Puettmann Klaus (2019), The functional complex network approach to foster forest resilience to global changes, in Forest Ecosystems
, 6(1), 21-21.
Supporting data to Mina et al. 2020 Ecological Applications
|Persistent Identifier (PID)
First release LANDIS-II and PnET-Succession input files supporting the paper Mina et al. 2020 Ecological Applications
The increasing frequency, intensity, and uncertainty of high-impact disturbance events due to global change are negatively impacting our ability to predict and manage forest growth and dynamics, therefore challenging the capacity to maintain ecological resilience and ecosystem services from forests worldwide. While forest ecosystems are complex adaptive systems, a multi-scale perspective and regional landscape management planning can improve our ability to manage forests under increasing socio-ecological changes. Although several methodological challenges persist, indices of functional diversity, redundancy, connectivity, centrality and modularity calculated at both stand and landscape levels have been increasingly proposed as proxy for quantifying forest resilience under relatively unknown future conditions. My proposed project aims at coupling spatially explicit tree-community and landscape models with functional diversity theory using network theory to identify thresholds levels causing abrupt and undesirable changes in ecosystem state and to determine optimal forest management strategies to maximize ecosystem services and resilience to global change factors. I propose three main research steps: (1) to develop a new meta-model coupling stand and landscape scale dynamics with functional diversity using network theory, (2) to evaluate multi-scale management options for resilience, ecosystem services, and functional diversity under scenarios of uncertain disturbances, and (3) to determine threshold levels (i.e., tipping points) of both fragmentation and functional diversity below which the overall resilience of a landscape is threatened under combinations of pulse and press disturbances. This project will test novel and innovative ways to implement resilience-based forest management for large fragmented forest landscapes.