东北林业大学学报
東北林業大學學報
동북임업대학학보
JOURNAL OF NORTHEAST FORESTRY UNIVERSITY
2015年
7期
127-132
,共6页
宋雄刚%王鸿斌%李国宏%于志军%陈国发%孔祥波%张真
宋雄剛%王鴻斌%李國宏%于誌軍%陳國髮%孔祥波%張真
송웅강%왕홍빈%리국굉%우지군%진국발%공상파%장진
油松毛虫%物候因子%虫害%区域尺度%典型相关分析%主成分分析
油鬆毛蟲%物候因子%蟲害%區域呎度%典型相關分析%主成分分析
유송모충%물후인자%충해%구역척도%전형상관분석%주성분분석
Dendrolimust abulaeformis Tsai et Liu%Climate factors%Pest outbreak%Region scale%Canonical correla-tion analysis%Principal component analysis
以我国北方4省10年(2002—2011)77个灾害点的虫情数据和由油松毛虫(Dendrolimus tabulaeformis)具体生活史衍生的73个气象因子为基础,运用典型相关分析法和主成分分析法,筛选出了与油松毛虫不同发生程度相关的主要气象因子。结果表明:与重度发生呈正相关的是Ⅱ期平均最高温度(r=09.3)、9月份最高温度(r=0.81),而与重度发生呈负相关的是年平均湿度( r=-0.69);与中度发生相关的主要是Ⅰ期平均温度( r=0.49)、Ⅱ期平均温度( r=0.61);与轻度发生相关的主要是年平均温度( r=0.75)、Ⅲ期平均相对湿度( r=0.62)。此结果结合其他的环境因子,在以温度和降水变化为主要特征的气候变化背景下,可对林业有害生物灾害暴发进行评价和预报。
以我國北方4省10年(2002—2011)77箇災害點的蟲情數據和由油鬆毛蟲(Dendrolimus tabulaeformis)具體生活史衍生的73箇氣象因子為基礎,運用典型相關分析法和主成分分析法,篩選齣瞭與油鬆毛蟲不同髮生程度相關的主要氣象因子。結果錶明:與重度髮生呈正相關的是Ⅱ期平均最高溫度(r=09.3)、9月份最高溫度(r=0.81),而與重度髮生呈負相關的是年平均濕度( r=-0.69);與中度髮生相關的主要是Ⅰ期平均溫度( r=0.49)、Ⅱ期平均溫度( r=0.61);與輕度髮生相關的主要是年平均溫度( r=0.75)、Ⅲ期平均相對濕度( r=0.62)。此結果結閤其他的環境因子,在以溫度和降水變化為主要特徵的氣候變化揹景下,可對林業有害生物災害暴髮進行評價和預報。
이아국북방4성10년(2002—2011)77개재해점적충정수거화유유송모충(Dendrolimus tabulaeformis)구체생활사연생적73개기상인자위기출,운용전형상관분석법화주성분분석법,사선출료여유송모충불동발생정도상관적주요기상인자。결과표명:여중도발생정정상관적시Ⅱ기평균최고온도(r=09.3)、9월빈최고온도(r=0.81),이여중도발생정부상관적시년평균습도( r=-0.69);여중도발생상관적주요시Ⅰ기평균온도( r=0.49)、Ⅱ기평균온도( r=0.61);여경도발생상관적주요시년평균온도( r=0.75)、Ⅲ기평균상대습도( r=0.62)。차결과결합기타적배경인자,재이온도화강수변화위주요특정적기후변화배경하,가대임업유해생물재해폭발진행평개화예보。
We studied the main climate factors on the pest outbreaks from the actual pest monitoring survey records data on coun -ty level in 2002-2011, with the main host distribution area of 77 sites in four provinces of China.There were totally 73 cli-mate factors derived from 6 ordinary observed datasets by related meteorological stations by part accumulation, averaging or relative extremum from four development stages of the pest.We used canonical correlation analysis and principal component analysis to screen the factors with the different levels of the outbreaks.The average highest temperature of Ⅱ ( r=0.93) and the highest temperature in September ( r=0.81) had strong positive correlations with the heavy outbreak, while the av-erage temperature of the year ( r=-0.69) was the main negative factors with heavy outbreaks.The average temperature ofⅠ( r=0.49) and the average temperature of Ⅱ ( r=0.61) had positive correlations with middle occurrence of the pest. The average temperature of the year ( r=0.75) and the average relative humidity ofⅢ( r=0.62) had the main correlations with the light occurrence of the pest.