Abstract: Forest health assessment is currently a hot issue in forest ecology, which can provide useful information for forest management. This paper reviewed the recent researches on forest health assessment. Generally, the main forest health assessment units include stand, forest type, and sub-compartment, and the main indices are forest resources indicators, disasters indicators, and socio-economic indicators. The advantages and disadvantages of forest health assessment models were compared. Forest health assessment has the trend of quantification and visualization. Some mathematical methods such as fuzzy comprehensive evaluation (FCE), grey relational analysis (GRA), and artificial neural networks (ANN) are increasingly used for the quantitative assessment of forest health. At present, the selection of the assessment indicators and methods for forest health assessment should be further improved. To establish a set of quantitative indicators for forest health assessment, to strengthen the comparative study on assessment techniques and models, and to make a long term dynamic monitoring and assessment would be the most important fields in forest health assessment.

Key words: Copper, Trifolium pratense, Growth, Activate oxygen, Metabolism