"Every science involves theory, and every theory involves a model how the object of study works." ~ Daniel B. Botkin
A three-stage modeling approach
Methodology: a three-stage modeling approach. Multi-source data from National Forest Inventory (NFI), resource inventory, research inventory, stem analysis, ecosystem stations, and remote sensing.
The theory of complex ecosystem
Theory: the theory of complex forest ecosystem. The theory of importance, the theory of complexity, the theory of reliability for complex ecosystem. Empirical models, process-based models, hybrid models, model linkages.
Dual closed-loop forest systems
Applications: parallel forest system. Simulation-optimization systems, Bayesian calibration, reliability optimization, Bayesian networks, multifuctional ecosystem services, climate-smart forestry.
Prof. Hans Pretzsch from Technical University of Munich, Chair of Forest Growth and Yield Science.
Prof. Jerome K. Vancly from Southern Cross University, School of Environmental Science and Management.
Prof. Roberto Tognetti from Dipartimento di Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise
Prof. Quang V. Cao from Louisiana State University, Forest Biometrics Lab.
Scientists from University of Joensuu, Finnish Forest Research Institute (METLA), European Forest Institute (EFI),Finnish Environment Institute (SYKE), University of Helsinki.
Adj. Prof. Blas Mola-Yudego , who works as Senior Researcher (Adj Prof) at the University of Eastern Finland, and as Assoc Prof at the Swedish University of Agricultural Sciences.
我们关注森林，因为我们思考未来。
The first step for any of our projects is brain storm and creative thinking. When this strikes the rest is easy.
The second stage is to develop our initial design. And after refining them we are ready to move on.
After the development is refined we jump into the decision-support stage. Where the design is finally applied.
We focus on forests, cause we think of the future.
