云南省松墨天牛适生性空间模拟
Spatial Simulation of the Adaptability of Monochamus alternatus Hope in Yunnan Province
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摘要: 根据影响松墨天牛生长发育的主要生态因子年均气温及≥10.8℃积温,建立松墨天牛适生性空间分布模型;利用云南省常规气象站点历史数据以及其它环境变量因子,建立云南省年均气温空间模拟模型;借助GIS空间分析及建模功能,完成云南全境的年均气温≥10.8℃积温的空间连续化模拟与表达。最后以90 m×90 m空间尺度,实现了云南省松墨天牛空间适生性计算、空间分布模拟与可视化表达。结果表明:松墨天牛适生性较广,云南北部雪线附近及雪线以上的高山地区为不适宜区,滇西北及滇东北的高山区域为低适宜区之外,云南大部分为松墨天牛的高适生区或较高适生区,适生性明显与生态区位相关。以定量化、精细化及可视化方式进行松墨天牛适生性研究,能获取山头地块的适生级别,从而为森防部门的预警及风险评估发布、基层单位开展有针对性防治提供决策依据。Abstract: Monochamus alternatus Hope is the main intermediary insect of Bursaphelenchus xylophilus. According to the main ecological factors of average temperature and above 10.8℃ accumulated temperature, the spatial distribution of M. alternatus was modeled in order to prevent the occurrence of B. xylophilus. A method was proposed to simulate annual average temperature and above 10.8℃ accumulated temperature by using statistical data from conventional weather stations in Yunnan province and environment variable factors based on GIS spatial analysis and modeling. The result was presented in 90 m×90 m spatial resolution to realize the computation, spatial pattern simulation and visualization of the adaptability of M. alternatus. The results shows that there are wide region suitable for M. alternatus besides the snow mountain in north Yunnan with no suitability, and high mountains in northwest and northeast Yunnan with low suitability. Moreover, the results are definitely related to ecological location. Since the results are presented in a quantitative, refine and visual way, so it is easy to obtain the adaptability of M. alternatus in grid cell, which can provide data for warning, risking assessment, and decision-making in disease prevention.
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Key words:
- Monochamus alternatus
- / Bursaphelenchus xylophilus
- / adaptability
- / spatial simulation
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[1] 王玉嬿. 松树萎蔫病[J]. 植物检疫, 1986(3):46-50 [2] 杨宝君,潘宏阳,汤 坚,等. 松材线虫病[M]. 北京:中国林业出版社, 2003 [3] 陈世骧,谢蕴贞,邓国藩. 中国经济昆虫志:第一册,鞘翅目,天牛科[M]. 北京:科学出版社, 1959 [4] Mamiya Y. Pine wood nematode,Bursaphelenchus lignicolus Mamiya and Kiyohara, as a causal agent of pine wilting disease[J].Review of Plant Protection Research, 1972(5),46-60 [5] 宁 眺, 方宇凌, 汤 坚,等. 松材线虫及其关键传媒墨天牛的研究进展[J]. 昆虫知识, 2004, 41(2): 97-104 [6] 杨宝君, 胡凯基, 王秋丽, 等. 松树对松材线虫抗性的研究[J]. 林业科学研究, 1993, 6(3): 249-255 [7] 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 [8] Rutherfordt A, 宋玉双. 线虫引起的松枯萎病影响松枯萎病发生和分布的因素[J]. 浙江林业科技, 1991, 11(2):78-82 [9] 周平阳,李祖钦,刘宏屏,等. 云南省松材线虫病的发现与快速根除[J].植物检疫, 2008, 22 (4): 236-239 [10] 徐正会,段 艳,史胜利,等.云南省松墨天牛地理分布及危害程度调查[J].西南林学院学报,2010,30(2):37-43 [11] 杨子祥,王健敏,陈晓鸣,等.松墨天牛在云南松树干的垂直分布研究[J].林业科学研究,2010, 23(4): 607-611 [12] Joon-Bum Kim, Myung-Hee Jo,Jeong-Soo Oh, et al. Extraction method of damaged area by pine wilt disease using remotely sensed data and gis [C]. The 22nd Asian Conference on Remote Sensing, 2001, 11,Singapore: 123-134 [13] 陈 鹏,刘宏屏,赵 涛,等.云南省松墨天牛危险性分析评估[J].中国森林病虫,2005,补充巻(4):14-16 [14] 吕 全, 王卫东, 梁 军,等. 松材线虫在我国的潜在适生性评价 [J]. 北京:中国林业科学研究院, 2004 [15] 王卫东. 中国松材线虫病风险分析[D]. 北京:中国林业科学研究院, 2004 [16] 王 峰, 王志英,喻盛甫. 基于ArcView GIS的松材线虫传入云南风险评估[J]. 云南农业大学学报, 2007, 22(5): 639-644 [17] 周汝良,石 雷,尹立红.云南省松材线虫适生区的精细化评估[J]. 林业科学研究, 2008, 21(5): 702-706 [18] 宋红敏,徐汝梅. 松墨天牛的全球潜在分布区分析[J]. 昆虫知识, 2006, 43(4): 535-539 [19] 张志诚, 牛海山, 黄保续,等. 基于GIS的中国松树萎蔫病发生的适应性评价[J].兰州大学学报:自然科学版, 2005,41(5):27-32 [20] 周汝良,丁 琨,石 雷.稀疏观测数据的空间内插方法的分析与比较[J].云南地理环境研究,2008,10(4):2-4 -
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