Research on Diagnosis Process of Forest Pests and Diseases Based on Fuzzy Reasoning

Author(s):  
Yanrong Zhang ◽  
Nihong Wang ◽  
Chang Wang ◽  
Changwei Wu
2020 ◽  
Author(s):  
Alexandra Kosiba ◽  
Emma Tait ◽  
Gene Desideraggio ◽  
Alyx Belisle ◽  
Clarke Cooper ◽  
...  

2007 ◽  
Author(s):  
Heather Morrison ◽  
Claralynn Nunamaker ◽  
John Leblanc ◽  
Gregory Giusti ◽  
Gary Nakamura

2020 ◽  
Author(s):  
Koji Matsushita

Approximately 40% of Japanese forests are softwood plantations consisting of trees such as Japanese cedar (Cryptomeria japonica), Japanese cypress (Chamaecyparis obtusa), and several varieties of pine (Pinus spp.). Policies and programs related to forest pests and diseases are important for growing forest plantations. Damage caused by the pine bark beetle (Monochamus alternatus) has been a long-standing problem in Japan. Forest damage caused by the pine bark beetle was first found in Nagasaki Prefecture in 1905. Since then, the area of damage has expanded gradually to all prefectures. Damage caused by pine bark beetles became serious during and just after the end of the Second World War. In 1950, the Natural Resource Section of the General Headquarters of the Allied Forces, Supreme Commander for the Allied Powers (GHQ/SCAP) made recommendations for how to control forest pests and diseases. The first act was enacted in 1950, although the control of forest pests was initially addressed as part of the first Forest Act of 1897. Several important reasons for why the Japanese government has failed to stop the expansion of the damaged area can be found in GHQ recommendations: the lack of coordinated programs, underutilization of damaged trees, and shortcomings of forest-management plans.


2019 ◽  
Vol 22 (6) ◽  
pp. 1257-1280 ◽  
Author(s):  
Bo Yang ◽  
Weiqun Cao ◽  
Chengming Tian

Forests ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 865 ◽  
Author(s):  
Choi ◽  
Park

Forest pests are one of the most important factors disturbing forest ecosystems, by impacting forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. Monitoring the occurrence of forest pests offers clues to understand their impacts on the forest ecosystem and develop a sustainable ecosystem management strategy. This special issue is designed to create a better understanding of the changes and impacts of forest pests according to forest changes, caused by natural or anthropogenic causes. There are 13 papers published in this special issue, covering several issues concerning forest pests. Two of the papers reviewed the changes in forest pests in Korea or Poland. The remaining twelve papers covered issues concerning the monitoring, assessment, and management of forest pests. Through this special issue, we expect to contribute towards the improvement of our knowledge of the structures and processes in forest ecosystems relating to forest pests and fundamental information for the effective management of forest pests.


2011 ◽  
Vol 250-253 ◽  
pp. 2945-2948 ◽  
Author(s):  
She Zhou Luo ◽  
Cheng Wang

Geographic Information System (GIS) has been widely applied to the field of pest management, which provides the new ways and methods for integrated pest research, prevention and control. The main purpose of this study is to forecast and manage forest pests and diseases. For this purpose, I developed the forest pests diseases forecast system, by using ArcObjects (AO) and Visual Basic as the secondary development platform. The system is able to synthetically analyze and judge relevant data, such as weather forecast and tree species, according to the occurrence laws of the forest pests and diseases and the characteristics of biology. The system uses Markov chain and other methods to forecast the occurrence period, amount, scope and the degree of harm of pests and diseases. To validate the reliability of Markov chain model, the pests and diseases data of Liu'an City of Anhui Province, in China from 1975 to 2001, to be applied. The results show that the method used is reliable. The occurrence area and location of forest pests and diseases can be labelled and displayed on the electronic map with three-dimension.


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