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农林交错带界面的小气候边界影响域季节动态

林长存;王德利;曹勇宏;杨允菲;祝廷成   

  1. 东北师范大学草地科学研究所 植被生态科学教育部重点实验室, 长春 130024
  • 收稿日期:2008-03-19 修回日期:1900-01-01 出版日期:2008-11-10 发布日期:2008-11-10

Seasonal variation of microclimate’s edge influence depth at the interface of farmland and forest ecotone.

LIN Chang-cun; WANG De-li; CAO Yong-hong; YANG Yun-fei; ZHU Ting-cheng   

  1. Key Laboratory of Vegetation Ecology of Education Ministry; Institute of Grassland Science, Northeast Normal University, Changchun 130024, China
  • Received:2008-03-19 Revised:1900-01-01 Online:2008-11-10 Published:2008-11-10

摘要: 采用移动分窗法和旱季、雨季的小气候测算,对吉林省西部林地与农田边界的小气候影响域的季节动态进行了分析。结果表明:研究区域内林地中移动分窗计算出的欧氏距离平方(SED)曲线变化稳定,旱季在40 m处出现峰值,雨季在20 m处出现峰值;农田小气候边界影响域则没有明显的时空变化,旱季和雨季SED曲线的峰值均为60 m。因此,边界对农田的影响域要大于林地,并且林地的影响域存在季节变化。说明在农林边界,小气候影响域存在着时空变化,其范围取决于边界两侧植被的季相变化和人为干扰的强度。

关键词: NDVI, 降水, 气温, 起伏型时间序列, 模拟

Abstract: By using moving split-window techniques (MSWT) and based on the estimation of microclimate in dry and rainy seasons, this paper analyzed the seasonal variation of microclimate’s edge influence depth at the interface of farmland and forest ecotone in west Jilin Province, aimed to provide information for improving current management practice and production in the study area. The results showed that in forestland, the squared Euclidean distance (SED) curve on the moving split-window graph had a stable variation, with a peak at 40 m in dry season and at 20 m in rainy season; while in farmland, the microclimate’s edge influence depth had no obvious spatiotemporal change, with the peak of SED curve at 60 m in both dry and rainy seasons. The edge influence depth was more far in farmland than in forestland, and there was a seasonal variation in forestland. It was suggested that the microclimate’s edge influence depth at the interface of farmland and forest ecotone in west Jilin varied with time and space, and depended on the vegetation’s aspection at the two sides of the interface and the intensity of human disturbance.

Key words: NDVI, Precipitation, Temperature, Wave-type time series, Simulation