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an individual-based forest landscape and disturbance model

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.

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individual-based modeling at the watershed scale

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.


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Created by admin. Last Modification: Thursday 02 of September, 2021 12:30:08 GMT by admin.