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Incidence of pine needle blight and its relationship with site factors of Japanese red pine forests in the Kunyushan Mountains, East China

文献类型: 外文期刊

作者: Hu, Ruirui 1 ; Liang, Jun 2 ; Xie, Xian 2 ; Zhang, Yingjun 3 ; Zhang, Xingyao 2 ;

作者机构: 1.Tianjin Acad Agr Sci, Inst Plant Protect, Tianjin 300380, Peoples R China

2.Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Key Lab Forest Protect, State Forestry Adm, Beijing 100091, Peoples R China

3.Kunyushan Forest Ecosyst Res Stn, Yantai 264100, Peoples R China

关键词: Japanese red pine forests; Pine needle blight; Site factors; Kunyushan mountains; Disease incidence; Disease severity index

期刊名称:GLOBAL ECOLOGY AND CONSERVATION ( 影响因子:3.38; 五年影响因子:4.167 )

ISSN: 2351-9894

年卷期: 2020 年 22 卷

页码:

收录情况: SCI

摘要: Pine needle blight (Pestalonopsis funerea (Desm.) Steyaert) has caused major damage to the Japanese red pine (JRP, Pinus densiflora Sieb. et Zucc.) forests in the Kunyushan Mountains region (121 degrees 41'34 ''-121 degrees 48'04 '' E, 37 degrees 11'50 ''-37 degrees 17'22 '' N) of Shandong, China. Site factors play an important role in the occurrence of JRP needle blight. Here, the regression equations of the disease incidence (DI) site factors and disease severity index (DSI) site factors were established to predict the incidence and severity of JRP needle blight. In this study, the site factors, DI, and DSI of pine needle blight were surveyed in 121 pure JRP forests plots. The incidence and severity of JRP needle blight were investigated, and regression equations were developed for DI and DSI site factors. The results show that JRP needle blight was a common disease in the Kunyushan Mountains, and 95.9% of the surveyed plots were affected. The DI and DSI of JRP needle blight were significantly affected by altitude, slope angle, and humus depth (p < 0.05), as well as highly significantly affected by slope shape and slope aspect (p < 0.01). The R-2 values of DI and DSI models were 0.68 and 0.798, respectively, indicating that their interpretation rate for the occurrence of JRP needle blight is more than 65%, proving that the model is reliable and that key site factors can be used to predict the incidence of JRP needle blight. Overall, the occurrence of pine needle blight in forest land with low altitude, steep and shaded slopes, and thinner humus depth was higher than in other types of sample plots. Thus, the prevention of JRP needle blight should be the focus in this type of woodland. (C) 2020 The Authors. Published by Elsevier B.V.

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