Considering spatial pattern of stockbreeding industrialization in yunnan province , six stockbreeding industrial belts are divided as : 1 ) the northeast industrial belt on plateau mountain in warm temperate zone and temperate zone ; 2 ) the central industrial belt in warm temperate zone and subtropical zone ; 3 ) the northwest mountain industrial belt in temperate zone and cool temperate zone ; 4 ) the southeast industrial belt in subtropical zone and tropical zone ; 5 ) the south industrial belt in subtropical zone and tropical zone ; 6 ) the southwest industrial belt in warm temperate zone , subtropical zone and tropical zone 在畜牧产业化发展的区域空间布局上，把全省分为6个畜牧产业带，即滇东北山原暖温带、温带畜牧产业带，滇中亚热带、暖温带畜牧产业带，滇西北山地温带、寒温带畜牧产业带，滇东南亚热带、热带畜牧产业带，滇南亚热带、热带畜牧产业带，滇西南亚热带、热带、暖温带畜牧产业带。
The paper concludes that the changing rate of ndvi of rain forest in tropic is the smallest , the changing curve is smooth , while the changing rate of ndvi of the deciduous broad leaf forest in warm - temperate zone is the largest the change of ndvi is the most conspicuous in winter and spring ( especially in april ) while is not conspicuous in summer and autumn by analyzing the change of ndvi along latitude using the ndvi value of different vegetation types along the same longitude . the vegetation index from warm temperate zone to semitropical zone has obvious transition , while other areas have no distinct change by analyzing the change of ndvi from temperate zone to semitropical zone to tropical zone using ndvi averagejn the same time it is concluded that the sink value in the beginning of the year 1995 is from the influence of the monsoon in east of china by analyzing the ndvi curve of several typical needle leaf forests . the relation between ndvi value and temperature is conspicuous while the relation of precipitation is less or not by analyzing the relation between ndvi and temperature and precipitation finally it can get the conclusion that the change of river area is the smallest , the change of sienna area is the greatest by analyzing two phases of tm data in 1987 and 1997 with rs technic 利用从同一经度的不同森林类型ndvi值分析，沿纬度方向ndvi变化可得出， ndvi在冬春季变化最明显(尤其是在4月份最大) ，而在夏季和秋季变化不明显。利用ndvi均值进行分析，从暖温带到亚热带到热带的变化情况发现，从暖温带到亚热带ndvi指数形成明显的阶跃，而其它区域没有太大的变化，同时对几种典型的针叶林曲线分析可知其年初的凹值源自于我国东部季风的影响。利用ndvi数据分析其与月均温度与降水的相关性得出与温度相关性较为显著，而与降水相关性不显著或无相关性。
