Pine needle blight (Pestalotiopsis 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°41′34″–121°48′04″ E, 37°11′50″–37°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 R² 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.

松针枯萎病（Pestalotiopsis funerea（Desm。）Steyaert）已对日本赤松（JRP，Pinus densiflora）造成了重大破坏锡伯 山东昆the山地区（121°41′34″ –121°48′04″ E，37°11′50″ –37°17′22″ N）的森林。部位因素在JRP针叶枯病的发生中起重要作用。在这里，建立了疾病发病率（DI）部位因素和疾病严重性指数（DSI）部位因素的回归方程，以预测JRP针叶枯病的发病率和严重程度。在这项研究中，在121个纯JRP林地中调查了松针枯萎病的位点因子，DI和DSI。研究了JRP针叶枯病的发生率和严重程度，并为DI和DSI位点因子建立了回归方程。结果表明，JRP针叶枯病是昆yu山地区的常见病，95.9％的调查样地受到了影响。p  <0.05），并且受坡度和坡度的影响非常显着（p  <0.01）。DI和DSI模型的R ²值分别为0.68和0.798，表明它们对JRP针叶枯病发生的解释率超过65％，证明了该模型是可靠的，并且可以使用关键部位因素来预测JRP针叶枯病的发生率。总体而言，与其他类型的样地相比，在海拔低，坡度高且阴影浅，腐殖质深度薄的林地中，松针枯萎病的发生率更高。因此，预防JRP针枯病应成为此类林地的重点。