- Forest dynamics and succession modelling
- Use and development of stand- and landscape-scale forest dynamic models
- Impacts of climate change and disturbances on forest ecosystems
- Management, silviculture and ecosystem services provision from temperate forest ecosystems
- Forest inventories, tree-ring research, ecology of mixed forests
Employment and formation
- Since 2018 - SNSF Postdoctoral fellow at the Université du Québec à Montréal UQAM, Montreal (Canada)
- 2016 - 2017 - Postdoc at the Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf (Switzerland)
- 2012 - 2015 - Ph.D. in Forest Ecology, Swiss Federal Institute of Technology ETH Zurich (Switzerland)
- 2011 - Internship at the Paul Scherrer Institute PSI, Villigen (Switzerland)
- 2010 - M.Sc. in Forestry and Environmental Science - University of Padua (Italy)
- 2009 - Visiting student at the Chinese Academy of Forestry - Beijing (China)
- 2007 - B.Sc. in Forestry and Environmental Technology - University of Padua (Italy)
Resilience-based forest management: Coupling spatially explicit tree-community and landscape models with functional diversity science using network theory (REDEFiNE)
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. This 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. The project will follow three main research steps:
- to couple process-based models of stand- and landscape-scale of forest dynamics with functional diversity and network theory,
- to evaluate multi-scale management options for resilience, ecosystem services, and functional diversity under scenarios of uncertain disturbances, and
- 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 that are typical of temperate ecosystems.
The project is financed via a career funding scheme of the Swiss National Science Foundation (Grant N. 175101)
- Mina M, Cailleret M, Motta R, Bugmann H (2019) Fruizione futura dei servizi ecosistemici. Prospettive in funzione dei cambiamenti climatici e della gestione nelle foreste montane. Sherwood - Foreste ed Alberi Oggi. 239:23-27.
- Mina M, Del Rio M, Huber MO, Thürig E, Rohner B (2018) The symmetry of competitive interactions in mixed Norway spruce, silver fir and European beech forests. Journal of Vegetation Science. 29:775–787. JVS-AVS blog Forest Monitor EFI Resilience blog
- Mina M, Huber MO, Forrester DI, Thürig E, Rohner B (2018) Multiple factors modulate tree growth complementarity in central European mixed forests. Journal of Ecology. 106:1106–1119. Journal of Ecology Blog Forest Monitor WSL News
- Houpert L, Rohner B, Forrester DI, Mina M, Huber MO (2018) Mixing Effects in Norway Spruce—European Beech Stands Are Modulated by Site Quality, Stand Age and Moisture Availability. Forests, 9(2), 83.
- Klopčič M, Mina M, Bugmann H, Bončina A (2017) The prospects of silver fir (Abies alba Mill.) and Norway spruce (Picea abies (L.) Karst) in mixed mountain forests under various management strategies, climate change and high browsing pressure. European Journal of Forest Research. 136(5-6), 1071-1090. Forest Monitor
- Mina M, Bugmann H, Klopcic M, Pardos M, Irauschek F, Cordonnier T, Cailleret M (2017) Future ecosystem services from European mountain forests under climate change. Journal of Applied Ecology. 54:389-401. Forest Monitor
- Mina M, Martin-Benito D, Bugmann H, Cailleret M (2016) Forward modeling of tree-ring width improves simulation of forest growth responses to drought. Agricultural and Forest Meteorology 221:13-33.
- Mina M, Bugmann H, Klopcic M, Cailleret M (2015) Accurate modeling of harvesting is key for projecting future forest dynamics: a case study in the Slovenian mountains. Regional Environmental Change. 17:49-64.
- Meyer N.K., Mina M (2012). Wood energy fuel cycle optimization for beech and spruce forests. Environmental Research Letters, 7, 014001.
- Mina M (2016) Forest dynamics, management and ecosystem services: the future of European mountain forests in an era of climate change. PhD thesis. Available via ETH Zürich , Switzerland. Advisor: Prof. H. Bugmann.
- Mina M, Bugmann H (2013) Improved and tested forest models for case study regions Component of ARANGE Deliverable D2.1, FP7-289437-ARANGE / D2.1
- Mina M (2010) Policies, institutions and markets in the P.R.C. forestry sector. MSc thesis. University of Padua, Italy. Advisor: Prof. D. Pettenella (Forest Policy and Economics)
- Mina M (2007) Evolution of ecto-mycorrhization in Quercus robur seedlings. BSc thesis. University of Padua, Italy. Advisor: Prof. L. Montecchio (Forest Pathology)
- Advanced Multifunctional Forest Management In European Mountain Ranges ARANGE (Collaborative EU PF7 project)
- Integrating Species Mixtures in Tree Growth Functions for Forest Development Models in Switzerland Swiss-SpeMixMod (funded within the COST Action EuMixFor )
- Wood Energy Fuel Cycle Optimization in Swiss Forests FCO