Forest Monitoring and Modeling Under Climate Change

Dear Colleagues,

Long-term forest experiments with permanent plots and national forest inventories as well as repeated measurements have been implemented and maintained around the world. The data collected and monitored are used to understand the effects of silvicultural treatments, natural disturbance on forest dynamics, and even climate change. The data can be applied to calibrate growth and yield models to project forest dynamics under future climates and management regimes. The cost of maintaining and monitoring these plots is highly expensive in terms of monetary aspects, human resources, site maintenance, and quality controls. Meanwhile, feasible and precise models are fundamental for correctly interpreting forest stand characteristics and preparing appropriate counteractions. We face many kinds of cases in the management of forests at local, national, or worldwide scales, which may seem to be similar in other regions. The driving modeling mechanism can be a comment interest that is able to simulate future forests.

In this Special Issue, I would like to invite research scientists who work with forest monitoring and modeling under climate change based on long-term experimental data with repeated measurements. Moreover, I would welcome researchers who want to discuss a variety of conventional and new forest monitoring and modeling methods for forest management under climate change. I encourage researchers to report advantages and disadvantages, pros and cons, or strengths and pitfalls to allow our research colleagues to learn about novel ideas. By sharing knowledge and strategies, I hope that we will be able to manage our monitoring and modeling techniques more optimally and avoid unnecessary expenses and efforts.

Dr. Daesung Lee
Prof. Dr. Jungkee Choi
Dr. Saverio Francini
Guest Editors

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