Abstract:
In recent years, the massive trades between China and its neighboring countries have promoted the development of forestry and economic reforms in many countries, but have...Show MoreMetadata
Abstract:
In recent years, the massive trades between China and its neighboring countries have promoted the development of forestry and economic reforms in many countries, but have also posed a certain threat to forest health, which brought further attention to forest health in the border. This paper takes the cross-border between China, Democratic People's Republic of Korea (DPRK)and Russia as the research object. Based on multi-source remote sensing data, we collected forest resource survey data in 2000, 2010, and 2020, and use a combination of analytic hierarchy process and entropy method to determine the index weight and evaluate forest health status. As a result, most of the forest health is in the sub-healthy and moderate health range. The extremely unhealthy forests show a downward trend year by year, and most of them are in the areas of human activity. Except for extremely unhealthy and healthy levels, all grades showed a slow upward trend, which also led to a decrease in the proportion of healthy forests year by year. On a national scale, 50%-60% of the regional forest health in China is in a moderately healthy and sub-healthy state, while unhealthy forest areas account for 18%-21%, and are rising constantly year by year at 18.99%, 19.45%, and 20.76% respectively. The healthy and sub-healthy forest areas in Democratic People's Republic of Korea are on a downward trend in 2010. The sub-healthy forest areas have declined significantly compared with 2000 (25.4%, 7.54%). By 2020, the healthy and sub-healthy forests have continued to decrease by 2.47%. The extremely unhealthy and healthy regional forests in Russia's developed slowly. As a whole, the forest health has declined slightly (0.35%) from 2000 to 2020. In the cross-border region between China, DPRK and Russia, the forest health rank of the three countries is Russia>China>DPRK. This result can be promoted for local development and targeted construction. Through sustainable management and protection, it can provide...
Published in: 2022 6th Annual International Conference on Data Science and Business Analytics (ICDSBA)
Date of Conference: 14-18 October 2022
Date Added to IEEE Xplore: 23 May 2023
ISBN Information: