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http://dx.doi.org/10.14578/jkfs.2015.104.1.1

The Current Status and Challenges of Forest Landscape Models  

Ko, Dongwook W. (Department of Forest, Environment, and Systems, Kookmin University)
Sung, Joo Han (Division of Forest Ecology, Korea Forest Research Institute)
Lee, Young Geun (Division of Forest Ecology, Korea Forest Research Institute)
Park, Chan Ryul (Division of Forest Ecology, Korea Forest Research Institute)
Publication Information
Journal of Korean Society of Forest Science / v.104, no.1, 2015 , pp. 1-13 More about this Journal
Abstract
Korea now boasts a vastly forested landscape resulting from a successful forest restoration projects carried out in the past several decades. However, Korea's forest now face new challenges, such as the rapidly increasing mature forests, climate change, and various novel forest disturbances with both natural and anthropogenic causes. Considering the extensive spatial and temporal scale of the forests and the challenges it face, it is necessary to utilize a tool that can properly tackle the issues with such nature. This brings our attention to Forest Landscape Models, which have been actively developed and used to improve our understanding of how forests respond to a variety of changes and to satisfy the society's demand on forests and its ecosystem services. A large variety of Forest Landscape Models exist, with a wide spectrum of algorithms, various selections of ecological processes they simulate, and the spatial and temporal scale they utilize, so that any researcher may find a model that fits one's use. However, it is important to properly understand the properties of such models so that the right model is used and the results are aptly interpreted. In this study, we describe and characterize the various Forest Landscape Models based on their historical roots, lineages, and development, ecological characteristics, and computational aspects, and discuss how they can be classified and what limits should be recognized to assist in model selection and utilization.
Keywords
model classification; spatial modeling; forest ecological modeling; model selection; model evaluation;
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