PhD - A landscape approach to analyze trade-offs and synergies between ecosystem services provided by forests
In my project, I study how a landscape approach can be used to mitigate trade-offs between ecosystem services provided by Swedish production forests. I use the Heureka decision support system to plan forest management strategies and predict their outcome for several ecosystem services. Additionally, I will use the dynamic forest ecosystem model ForSAFE to improve predictions of ecosystem service production. I'm interested in the effects of management strategies on levels of carbon stocks, soil and water quality, biodiversity, and economic value. Furthermore, I'm studying the sensitivity of these services and the trade-off between them to changes in spatial and temporal management scale.
Supervisor: Cecilia Akselsson
Methods
I use a variety of methods in my project.
- Statistical modeling in R
- Species Distribution Models and joint Species Distribution Models
- Machine Learning
- Mixed-effects models
- Decision support model for forest management (Heureka)
- Dynamic ecosystem model (ForSAFE)
- GIS
- in R using sf, raster, ggplot2
- ArcGIS Pro
Publikationer
Visar av publikationer. Sorterade efter år och sen titel.
Farmland birds occupying forest clear-cuts respond to both local and landscape features
Tristan R.M. Bakx, Åke Lindström, Dafne Ram, Lars B. Pettersson, Henrik G. Smith, et al.
(2020) Forest Ecology and Management, 478
Artikel i tidskriftUse and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research
Tristan Bakx, Zsófia Koma, Arie C. Seijmonsbergen, W. Daniel Kissling
(2019) Diversity and Distributions, 25 p.1045-1059
Artikel i tidskrift