Data, Development, and Decision

Smart Forestry: An Introduction

Managing Forest Ecosystems

The OptiFor Family

What

The OptiFor family consists of OPTIFOR and QUASSI, including OptiFor Carbon, OptiFor Wood, OptiFor Bioenergy, OptiFor Climate, QUASSI 1.0, QUASSI 2.0, and QUASSI 3.0. The Python code of QUASSI is available at GitHub.

Who

Scientists involved in OptiFor include automation scientists, biometricians, ecologists, environmental economists, and mathematicians. An example of such interdisciplinary efforts is the QUASSI software.

How

By integrating the latest simulation and optimization modeling methodologies, such as Bayesian networks, complex system, and parallel system, OptiFor makes the understanding of complex forest ecosystems possible.

News and Events

The 15th Symposium on Systems Engineering in Forestry, China Society of Systems Engineering, October 18-20, 2024, Nanjing, China

International Conference on Forest Resources Cultivation and Conservation, and the 4th Forum of Forest Resources of China, September 13-15, 2024, Hangzhou, China

The 20th Symposium on Systems Analysis in Forest Resources ( SSAFR 2024) May 13 to 17, 2024; Hondarribia, Basque Country, Spain

The 19th Symposium on Systems Analysis in Forest Resources ( SSAFR 2022) July 24 to 27, 2022; Estes Park, Colorado, USA

In memoriam: Harold Burkhart, University Distinguished Professor, By Krista Timney 23 OCT 2022

Climate-Smart Forestry in Mountain Regions by Roberto Tognetti, Melanie Smith, Pietro Panzacchi. Springer 2022

Prof. Hans Pretzsch was ranked Highly Cited Researcher in the field of Cross-Field - 2019 and 2020 by Web of Science

Models of Tree and Stand Dynamics: Theory, Formulation and Applications by Annikki Mäkelä and Harry T. Valentine, Springer 2020

Pretzsch, H., Forrester, D.I., Bauhus, J. (2017) Mixed-Species Forests: Ecology and Management. Springer, 653 pages.

JABOWA 4 Forest Computer Model. Solving environmental problems by understanding how nature works

FP0603 - Forest models for research and decision support in sustainable forest management

Managing forests in the 21st century (3-5 March 2020) in Potsdam

International Conference on Forest Resource Cultivation and Protection and the 2nd China Forest Resource Forum 2019

Sino-German Workshop on Multifunctionality of Forests 2018

New Frontiers in Forecasting Forests 2018

SFA Key Laboratory of Forest Management and Growth Simulation, 11.4.2018

Adaptive forest management based on simulation-optimization systems, 2017.12

Southern Mensurationists Conference (SOMEN) 2017

The International Society for Ecological Modelling Global Conference 2016 (08.05.2015)

16th Symposium for Systems Analysis in Forest Resources (SSAFR 2015, August 19-21th, Uppsala, Sweden)

Systems analysis

Empirical models; Process-based models; Hybrid models; Optimization models; Model linkages.

Complex Systems

Stochastic processes; Bayesian clibration; Complex systems theory; Importance measures.

Optimization methods

Nonlinear programming; Stochastic optimization; Reliability optimization; AI algorithms.

Top three modelling techniques: math programming, simulation, and statistics. (Gupta 1997)

Caveats

  • “All models are wrong, but some are useful.”

    George E.P. Box (Statistician)

  • “What lies still is easy to grasp; What lies far off is easy to anticipate; What is brittle is easy to shatter; What is small is easy to disperse.”

    Laozi Chapter 64

  • “Yet a tree broader than a man can embrace is born of a tiny shoot; A dam greater than a river can overflow starts with a clod of earth; A journey of a thousand miles begins at the spot under one's feet.”

    Laozi Chapter 64

  • “Therefore deal with things before they happen; Create order before there is confusion.”

    Laozi Chapter 64

Process-based models, parallel simulation systems, simulation-based optimization.