iLand, the individual-based forest landscape and disturbance model, is developed in a collaborative effort by a team of scientists in Austria and the US Pacific Northwest to advance our ability to simulate complexity in forest ecosystems. Motivated by the expected climatic changes and possible no-analog disturbance regimes, both affecting a variety of (interacting) ecosystem processes at varying scales, the multi-scale model iLand aims at enhancing analytic capacities in support of sustainable forest management and climate impacts research. iLand integrates aspects of individual-based modeling and physiological principles with a focus on the landscape scale, simulating forest dynamics as an emerging property of key ecosystem mechanisms and interactions (e.g., between individual trees, the biosphere and the environment, disturbances). The core development of iLand is funded by a Marie Curie Scholarship within the 7th Framework Program of the European Commission. The iLand software is open source and freely available for non-commercial applications in science and research.
Newest Blog Posts
The iLand universe is expanding
13.01.2017 16:12 GMT
iLand 1.0 released!
16.11.2016 15:01 GMT
iLand 1.0 release (in numbers)
16.11.2016 15:00 GMT
Climate change and disturbance impacts on spatio-temporal trajectories of biodiversity
29.03.2016 08:26 GMT
- hear about new developments and technical blips from the 'engine room'
- find out more about the project and iLands niche in the landscape of existing forest ecosystem models
- get to know the iLand team
- browse iLand-related publications
- view the model documentation pages
- download the model software and source code
- contact and credits
The animation below shows a 500 year iLand simulation for a 172 ha watershed in the HJ Andrews experimental forest, central western Cascades, Oregon. More information about this particular simulation can be found here.