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中国农学通报 ›› 2016, Vol. 32 ›› Issue (25): 132-137.doi: 10.11924/j.issn.1000-6850.casb16010088

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

哈尔滨市典型森林对雪水量的影响研究

肖洋   

  1. 黑龙江大学农业资源与环境学院/农业资源利用与环境安全重点实验室
  • 收稿日期:2016-01-18 修回日期:2016-08-09 接受日期:2016-02-17 出版日期:2016-08-29 发布日期:2016-08-29
  • 通讯作者: 肖洋
  • 基金资助:
    黑龙江省教育厅科学技术研究(面上)项目“小兴安岭森林植被对雨雪水文特征的影响机制”(12511407)。

Effect of Representative Forests on Snow Water Equivalence in Harbin

  • Received:2016-01-18 Revised:2016-08-09 Accepted:2016-02-17 Online:2016-08-29 Published:2016-08-29

摘要: 森林对于雪水资源的调控具有重要的意义,目前在东北地区森林对雪水文生态过程的影响仍不明确。2012~2013年,以哈尔滨市试验林场为研究区域,选择区域内具有代表性的3种森林类型为研究对象,通过定期观测林内外的雪深、雪密度和雪水当量,对不同森林对各雪水分量的影响进行了研究。结果表明:2013年3月9日为积雪量最大期,樟子松林和落叶松林的积雪深度分别比无林地的小20.1%(5.98cm)和13.7%(4.08cm);不同森林的地表雪密度与环境温度皆呈显著正相关,樟子松林和落叶松林的地表雪密度要小于白桦林和无林地的;樟子松林、落叶松林和白桦林的最大雪水量要分别比无林地的小32.9%、14.2%和7.0 %,在融雪期间,樟子松林、落叶松林和白桦林的平均融雪速率分别为无林地的39%(1.21mm/天)、70%(2.18mm/天)和93%(2.89mm/天),樟子松林的地表积雪比落叶松林、白桦林和无林地的要延迟10天完全融化;在整个冬季期间樟子松林、落叶松林和白桦林的累积截雪量分别为18.4mm、7.95mm和3.89mm。综上所述,樟子松林对于降雪再分配的调控作用具有显著的影响,其稠密的冠层结构是重要的影响因素。

关键词: 新城疫病毒, 新城疫病毒, HN基因, 基因克隆, 序列分析

Abstract: Revealing the regulation mechanism of forest on snow and water resources is of great significance. However, the effect of forest on snow hydrological process is poorly understood in the area of northeast China so far. From 2012 to 2013, three forests were selected as the research areas among the experimental wood farms of Harbin. Through regular observation of the snow depth, snow density and snow equivalence of the interior and exterior forests, the influence of different forests on snow water equivalence component was studied. The results showed that the peak snow accumulation period was March 9, 2013. The snow depth of Pinus sylvestris and Larix gmelinii was 20.1% (5.98 cm) and 13.7% (4.08 cm) smaller than that of the clearing respectively. The snow density of different forests’surface and the environmental temperature were significantly and positively correlated. The snow density of Pinus sylvestris and Larix gmelinii was smaller than that of Betula platyphylla and the clearing. The peak snow water equivalence (SWE) of Pinus sylvestris, Larix gmelinii and Betula platyphylla was 32.9%, 14.2% and 7.0% smaller than that of the clearing respectively. During the ablation period, ablation rates of Pinus sylvestris, Larix gmelinii and Betula platyphylla were 39% (1.21 mm/d), 70% (2.18 mm/d) and 93% (2.89 mm/d) as rapid as that of the clearing, respectively. Compared with Larix gmelinii, Betula platyphylla and the clearing, the snow accumulation of Pinus sylvestris surface melt completely 10 days later. The accumulation snow interception of Pinus sylvestris, Larix gmelinii and Betula platyphylla was 18.4 mm, 7.95 mm and 3.89 mm respectively in winter. Above all, the regulation effect of Pinus sylvestris forest on snow redistribution is obvious and the dense canopy structure of Pinus sylvestris forest is an important influencing factor on snow redistribution.