[1] MOTA M M, FUTAI K, VIEIRA P. Pine wilt disease and the pinewood nematode, Bursaphelenchus xylophilus [M]// CIANCIO A, MUKERJI K G. Integrated Management of Fruit Crops Nematodes Vol 4. Dordrecht: Springer, 2009: 253 − 274.
[2] VICENTE C, ESPADA M, VIEIRA P, et al. Pine wilt disease: a threat to European forestry [J]. European Journal of Plant Pathology, 2012, 133(1): 89 − 99.
[3] SHIN S C. Pine wilt disease in Korea [M]// ZHAO B G, FUTAI K, SUTHERLAND J R, et al. Pine Wilt Disease. Tokyo: Springer, 2008: 26 − 32.
[4] 国家林业与草原局. 全国松材线虫病疫情防控五年攻坚行动计划(2021—2025)[EB/OL]. 2021-07-07[2022-03-07]. http://www.forestry. gov.cn.

National Forestry and Grassland Administration. Five-year Action Plan for Prevention and Control of Pine Wood Disease (2021−2025) [EB/OL]. 2021-07-07[2022-03-07]. http://www.forestry. gov.cn.
[5] 程瑚瑞, 林茂松, 黎伟强, 等. 南京黑松上发生的萎蔫线虫病[J]. 中国森林病虫, 1983, 2(4): 1 − 5.

CHENG Hurui, LIN Maosong, LI Weiqiang, et al. Wilt nematode disease on black pine in Nanjing [J]. Forest Pest and Disease, 1983, 2(4): 1 − 5.
[6] 李计顺, 潘佳亮, 刘超, 等. 2020年全国松材线虫病疫情流行情况分析[J]. 中国森林病虫, 2021, 40(4): 1 − 4.

LI Jishun, PAN Jialiang, LIU Chao, et al. Analysis of the epidemic situation of pine wilt disease in China in 2020 [J]. Forest Pest and Disease, 2021, 40(4): 1 − 4.
[7] 国家林业与草原局. 国家林业与草原局公告(2020年第5号)[EB/OL]. 2021-10-18[2022-03-07]. http://www.forestry.gov.cn.

National Forestry and Grassland Administration. Announcement of National Forestry and Grassland Administration (No. 5, 2020) [EB/OL]. 2021-10-18[2022-03-07].
[8] 于治军, 李硕, 周艳涛, 等. 不同增温模式下我国松材线虫适生分布模拟与预测[J]. 东北林业大学学报, 2018, 46(1): 85 − 91.

YU Zhijun, LI Shuo, ZHOU Yantao, et al. Spatial estimation and prediction of suitable distribution of Bursaphelenchus xylophilus with different warming modes in China [J]. Journal of Northeast Forestry University, 2018, 46(1): 85 − 91.
[9]

LINIT M J. Nemtaode-vector relationships in the pine wilt disease system [J]. Journal of Nematology, 1988, 20(2): 227 − 235.
[10]

IL C W, SONG H J, SOO K D, et al. Dispersal patterns of pine wilt disease in the early stage of its invasion in South Korea [J]. Forests, 2017, 8(11): 411.
[11] 王新荣, 朱孝伟, 胡月清, 等. 松墨天牛携带的松材线虫PCR检测技术[J]. 林业科学, 2009, 45(7): 70 − 75.

WANG Xinrong, ZHU Xiaowei, HU Yueqing, et al. A PCR-based method for detecting Bursaphelenchus xylophilus from Monochamus alternatus [J]. Scientia Silvae Sinicae, 2009, 45(7): 70 − 75.
[12] 沈鹏, 李功权. 基于生态位因子模型的湖北省松材线虫病风险评估[J]. 浙江农林大学学报, 2021, 38(3): 560 − 566.

SHEN Peng, LI Gongquan. Risk assessment of Bursaphelenchus xylophilus in Hubei Province based on ecological niche factor analysis model [J]. Journal of Zhejiang A&F University, 2021, 38(3): 560 − 566.
[13] 韩兵, 朴春根, 汪来发, 等. 中国松材线虫病的发生现状及治理对策[J]. 中国农学通报, 2007, 23(2): 146 − 150.

HAN Bing, PIAO Chungen, WANG Laifa, et al. Development status of pinewood nematode disease and its management strategies in China [J]. Chinese Agricultural Science Bulletin, 2007, 23(2): 146 − 150.
[14]

RYSS A Y, KULINICH O A, SUTHERLAND J R. Pine wilt disease: a short review of worldwide research [J]. Forestry Studies in China, 2011, 13(2): 132 − 138.
[15] 潘宏阳, 叶建仁, 吴小芹. 中国松材线虫病空间分布格局[J]. 生态学报, 2009, 29(8): 4325 − 4331.

PAN Hongyang, YE Jianren, WU Xiaoqin. Spatial distribution patterns of pine wilt disease in China [J]. Acta Ecologica Sinica, 2009, 29(8): 4325 − 4331.
[16] 涂业苟, 喻爱林, 阙生全, 等. 不同寄主植物对松褐天牛成虫寿命和繁殖的影响[J]. 西南农业学报, 2019, 32(8): 1801 − 1804.

TU Yegou, YU Ailin, QUE Shengquan, et al. Effects of different host plants on longevity and reproduction of Monochamus alternatus Hope adults [J]. Southwest China Journal of Agricultural Sciences, 2019, 32(8): 1801 − 1804.
[17] 涂业苟, 李翼, 喻爱林, 等. 松褐天牛成虫对不同寄主植物的选择性[J]. 中国植保导刊, 2019, 39(5): 50 − 52, 57.

TU Yegou, LI Yi, YU Ailin, et al. Feeding and oviposition preferences of Monochamus alternatus adults among different host plants [J]. China Plant Protection, 2019, 39(5): 50 − 52, 57.
[18] 习妍, 牛树奎. 气候要素对松材线虫病疫情的影响研究[J]. 林业资源管理, 2008(4): 70 − 76.

XI Yan, NIU Shukui. The effects of climatic factors on pine wilt disease [J]. Forest Resources Management, 2008(4): 70 − 76.
[19] 于海英, 吴昊. 辽宁发现松材线虫新寄主植物和新传播媒介昆虫[J]. 中国森林病虫, 2018, 37(5): 61.

YU Haiying, WU Hao. New host plants and new vector insects for Bursaphelenchus xylophilus found in Liaoning [J]. Forest Pest and Disease, 2018, 37(5): 61.
[20] 张潮. 我国松材线虫病的扩散趋势及气候对疫情的影响研究[D]. 北京: 北京林业大学, 2020.

ZHANG Chao. Spread Trend of Pine Wilt Disease in China and the Impact of Climate on the Epidemic [D]. Beijing: Beijing Forestry University, 2020.
[21]

LEE D S, CHOI W I, NAM Y, et al. Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms [J/OL]. Ecological Informatics, 2021, 64: 101378[2022-08-09]. doi: 10.1016/J.ECOINF.2021.101378.
[22] 杨红艳, 杜健民, 阮培英, 等. 基于无人机遥感与随机森林的荒漠草原植被分类方法[J]. 农业机械学报, 2021, 52(6): 186 − 194.

YANG Hongyan, DU Jianmin, RUAN Peiying, et al. Vegetation classification of desert steppe based on Unmanned Aerial Vehicle Remote Sensing and Random Forest [J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(6): 186 − 194.
[23] 李浩, 方伟泉, 李浪浪, 等. 基于深度学习的松材线虫病害松木识别[J]. 林业工程学报, 2021, 6(6): 142 − 147.

LI Hao, FANG Weiquan, LI Langlang, et al. Recognition of pine wood infected with pine nematode disease based on deep learning [J]. Journal of Forestry Engineering, 2021, 6(6): 142 − 147.
[24] 杨宝君, 王秋丽, 邹卫东, 等. 不同松树品种对松材线虫的抗性[J]. 植物病理学报, 1987, 17(4): 211 − 214.

YANG Baojun, WANG Qiuli, ZOU Weidong, et al. The resistance of species to pine wood nematode, Bursaphelenchus xylophilus [J]. Acta Phytopathologica Sinica, 1987, 17(4): 211 − 214.
[25] 闫云凤. 基于决策森林的回归模型方法研究及应用[D]. 杭州: 浙江大学, 2019.

YAN Yunfeng. Research and Application of Regression Modeling Methods Based on Decision Forests [D]. Hangzhou: Zhejiang University, 2019.
[26] 梁慧玲, 林玉蕊, 杨光, 等. 基于气象因子的随机森林算法在塔河地区林火预测中的应用[J]. 林业科学, 2016, 52(1): 89 − 98.

LIANG Huiling, LIN Yurui, YANG Guang, et al. Application of Random Forest Algorithm on the forest fire prediction in Tahe area based on meteorological factors [J]. Scientia Silvae Sinicae, 2016, 52(1): 89 − 98.
[27] 何云, 黄翀, 李贺, 等. 基于Sentinel-2A影像特征优选的随机森林土地覆盖分类[J]. 资源科学, 2019, 41(5): 992 − 1001.

HE Yun, HUANG Chong, LI He, et al. Land-cover classification of random forest based on Sentinel-2A image feature optimization [J]. Resources Science, 2019, 41(5): 992 − 1001.
[28] 周云. 基于随机森林算法的城市人口多尺度空间化研究[D]. 重庆: 西南大学, 2021.

ZHOU Yun. Multi-scale Spatialization of Urban Population Based on Random Forest Algorithm [D]. Chongqing: Southwest University, 2021.
[29] 尹华, 胡玉平. 基于随机森林的不平衡特征选择算法[J]. 中山大学学报(自然科学版), 2014, 53(5): 59 − 65.

YIN Hua, HU Yuping. An imbalanced feature selection algorithm based on Random Forest [J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2014, 53(5): 59 − 65.
[30]

VAPNIK V N. The Nature of Statistical Learning Theory [M]. New York: Springer, 1996.
[31] 刘方园, 王水花, 张煜东. 支持向量机模型与应用综述[J]. 计算机系统应用, 2018, 27(4): 1 − 9.

LIU Fangyuan, WANG Shuihua, ZHANG Yidong. Overview on models and applications of Support Vector Machine [J]. Computer Systems &Applications, 2018, 27(4): 1 − 9.
[32] 王彦光, 朱鸿斌, 徐维超. ROC曲线及其分析方法综述[J]. 广东工业大学学报, 2021, 38(1): 46 − 53.

WANG Yanguang, ZHU Hongbin, XU Weichao. A review on ROC curve and analysis [J]. Journal of Guangdong University of Technology, 2021, 38(1): 46 − 53.
[33] 刘会河, 徐维超, 刘舜. 基于SVM的降维方法在三类ROC分析中的应用[J]. 计算机与现代化, 2016(7): 49 − 54.

LIU Huihe, XU Weichao, LIU Shun. Dimension reduction method applying in three-class ROC analysis based on SVM [J]. Computer and Modernization, 2016(7): 49 − 54.
[34] 章莉萍. 基于栅格模式的地图图形自动综合研究[D]. 武汉: 武汉大学, 2009.

ZHANG Liping. Automatic Synthesis Study of Map Graphics Based on Raster Patterns [D]. Wuhan: Wuhan University, 2009.
[35] 叶建仁. 松材线虫病在中国的流行现状、防治技术与对策分析[J]. 林业科学, 2019, 55(9): 1 − 10.

YE Jianren. Epidemic status of pine wilt disease in china and its prevention and control techniques and counter measures [J]. Scientia Silvae Sinicae, 2019, 55(9): 1 − 10.
[36] 叶江霞, 王敬文, 张明莎, 等. 基于空间矩阵模型及0~1测度的美国白蛾风险格局分析[J]. 林业科学, 2021, 57(1): 140 − 152.

YE Jiangxia, WANG Jingwen, ZHANG Mingsha, et al. Risk pattern analysis of Hyphantria cunea based on spatial matrix model and 0−1 measure [J]. Scientia Silvae Sinicae, 2021, 57(1): 140 − 152.