Paper Details

PJB-2023-328

  EVALUATION OF THE SPREAD RISK AND ENVIRONMENTAL POLLUTION OF INVASIVE FOREST DISEASES AND INSECT PESTS IN XINJIANG 

Zhaohu Sheng
Abstract

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This study aimed to construct an assessment system to assess the risk of invasive pests spreading in forestry and harm to the environment. Geographic Information System (GIS) is a computer system that inputs, stores, manages and analyzes spatial data and attribute data, and plays an important role in forestry management. Data statistics were used to ensure consistency between elements and the corrected results were used as an indicator for each evaluation. We used the methods of hierarchical analysis and expert survey to reduce the differences between the survey data and the criteria of expert experience value, and to improve the scientific validity and rationality of the system indicators. Finally, the analytic hierarchy process (AHP) fuzzy integrated evaluation model and questionnaire method were applied to analyze the data screening of the materials, and an empirical study was conducted. Six categories of risk, 23 risk indicators for the spread process in invasive forestry pest and disease were identified in Xinjiang, and the ranking and numerical values of the six categories were: risk of loss (0.2658) > risk of adaptation (0.2359) > risk of prevention and control difficulties (0.1927) > risk of intrusion (0.1494) > risk of transmission (0.1142) > potential risk (0.042). Pinewood nematode disease was "highest risk" disease, and other 8 diseases and pests were all "higher risk". The overall risk ranking and risk values of the nine pest and disease categories were: pinewood nematode disease (81.72) > Aspen transpterans moth (79.38) > apple branch blight disease (79.10) > white wax narrow gemtine (78.57) > American white moth (78.49) > yellow star aspart (76.44) > Dendroctonus apple moth (78.34) > jujube fruit fly (74.91) > grape moth decay (73.00). This study provides a theoretical reference for the risk management of spread in invasive forestry pest and disease in Xinjiang.

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