气象

小五台山亚高山景观尺度水热条件与植被关系

展开
  • 1. 北京师范大学资源学院,北京师范大学中国生态资产评估研究中心, 北京师范大学环境演变与自然灾害教育部重点实验室,北京 100875;
    2. 海南省气象局,海口 570203;
    3. 北京师范大学生命学院,北京 100875;
    4. 北京师范大学化学系,北京 100875
江源 (1960-), 女, 甘肃正宁人, 教授, 博士生导师, 主要从事植被生态学, 景观生态学及城市生态环境研究。E-mail: jiangy@bnu.edu.cn

收稿日期: 2004-01-15

  修回日期: 2005-05-12

  网络出版日期: 2005-07-25

基金资助

国家自然科学基金项目(40371043; 40071002); 北京师范大学创新研究群体项目资助

Relationship between Light, Temperature, Soil Wetness and Vegetation at Landscape Scale in a Subalpine Belt of Mt. Xiaowutai

Expand
  • 1. College of Resources Science and Technology, Beijing Normal University; China Ecological Capital Assessment Research Center at Beijing Normal University; Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education of China, Beijing Normal University, Beijing 100875, China;
    2. Meteorological Bureau of Hainan, Haikou 570203, China;
    3. College of Life Science, Beijing Normal University, Beijing 100875, China;
    4. Department of Chemistry, Beijing Normal University, Beijing 100875, China

Received date: 2004-01-15

  Revised date: 2005-05-12

  Online published: 2005-07-25

Supported by

National Natural Science Foundation of China, No.40371043; No.40071002; BNU Scientific Creation Team

摘要

以河北省小五台山为研究区,通过转化糖方法获取亚高山不同景观部位效应温度,结合DEM模型模拟研究区内太阳直接辐射以及土壤湿润度系数,进而构建生境干燥度指数。以此为基础,在景观尺度上定量分析研究区内亚高山带水热条件与森林和亚高山草甸植被分布格局的关系。结果表明,① 研究区域中森林分布地段生境的太阳直接辐射,效应温度和干燥度指数都显著低于草甸分布地段,土壤水分系数则恰恰相反;② 综合太阳直接辐射或效应温度与土壤湿润度系数的干燥度指数统计分析结果,优于分别以各个因子单独进行分析的结果;③ 在植被格局的形成中,干燥度起着至关重要的作用,这与在水平地带中,森林与草原植被的分布格局受干燥度控制的规律相一致。

本文引用格式

江源, 黄晓霞, 黄秋如, 刘全儒, 韩京莎 . 小五台山亚高山景观尺度水热条件与植被关系[J]. 地理学报, 2005 , 60(4) : 698 -704 . DOI: 10.11821/xb200504019

Abstract

In this paper, the aridity indexes of different habitats in Mt. Xiaowutai were calculated through measuring the effective temperature by means of sugar inversion method, and simulating direct solar radiation and soil wetness index supported by DEM and GIS tools. Furthermore, the relationship between vegetation distribution pattern and the above factors in the study area was analyzed by ANOVA at the landscape scale. The results showed: 1) the values of direct solar radiation, effective temperature and aridity indexes at the forest habitats were significantly lower than those at the subalpine meadow habitats, while the value of soil wetness index appeared an inverse tendency; 2) the aridity indexes, defined as the ratio of either effective temperature or solar radiation to soil wetness index, could interpret the distribution pattern of forest and meadow vegetation better than the effective temperature or soil wetness itself only; and 3) the aridity indexes played a leading role in the distribution patterns of forest and subalpine meadow in the study area, which was consistent with the principle followed by the horizontal distribution pattern of forest and steppe vegetation in a regional scale.

参考文献


[1] Stoutjesdijk Ph, Barkman J J. Microclimate Vegetation and Fauna. Knivsta, Sweden: OPULUS Press AB, 1992.

[2] Iverson L R, Dale M E, Scott C T et al. A GIS derived integrated moisture index to predict forest composition and productivity of Ohio forests (U.S.A.). Landscape Ecology, 1997, 12: 331-348.

[3] Shen Zehao, Zhang Xinshi. The spatial pattern and topographic interpretation of the forest vegetation at Dalaoling region in the Three Gorges. Acta Botanica Sinica, 2000, 42(10): 1089-1095.
[沈泽昊, 张新时. 三峡大老岭地区森林植被的空间格局分析及其地形解释. 植物学报, 2000, 42(10): 1089-1095.]

[4] Lovett J C, G P Clarke, R Moore et al. Elevational distribution of restricted range forest tree taxa in eastern Tanzania. Biodiversity and Conservation, 2001, 10(4): 541-550.

[5] Wang Guohong. Species diversity of plant communities along an altitudinal gradient in the middle section of northern slopes of Qilian Mountains, Zhangye, Gansu, China. Biodiversity Science, 2002, 10(1): 7-14.
[王国宏. 祁连山中段北坡植物群落多样性的垂直分布格局. 生物多样性, 2002, 10(1): 7-14.]

[6] Bhattarai K R, O R Vetaas. Variation in plant species richness of different lift forms along a subtropical elevation gradient in the Himalayas east Nepal. Global Ecology & Biogeography, 2003, 12: 327-340.

[7] Daniels L D, T T Vablen. Regional and local effects of disturbance and climate on altitudinal treelines in northern Patagonia. Journal of Vegetation Science, 2003, 14: 733-742.

[8] Frelich L E, J L Machado, P B Reich. Fine-scale environmental variation and structure of understorey plant communities in two old-growth pine forests. 2003.

[9] Pan Yaozhong, Gong Daoyi, Deng Lei et al. Smart distance searching-based and DEM-informed interpolation of surface air temperature in China. Acta Geographica Sinica, 2004, 59(3): 366-374.
[潘耀忠, 龚道溢, 邓磊 等. 基于DEM的中国陆地多年平均温度插值方法. 地理学报, 2004, 59(3): 366-374.]

[10] Su Hongxin, Sang Weiguo. Advances in mountain microclimate simulation. Acta Phytoecologica Sinica, 2002, 26(SP): 107-114.
[苏宏新, 桑卫国. 山地小气候模拟研究进展. 植物生态学报, 2002, 26: 107-114.]

[11] Fu P, P M Rich. Design and implementation of the Solar Analyst: an ArcView extension for modeling solar radiation at landscape scales. Proceedings of the 19th Annual ESRI User Conference, San Diego, USA, 1999. http://www.esri.com/library/userconf/proc99/proceed/papers/pap867/p867.htm.

[12] Jiang Yuan. Sugar-inversion method for measuring temperature and its application to landscape ecology research. Acta Ecologica Sinica, 2001, 21(1): 28-33.
[江源. 测定温度的转化糖方法及其在景观生态学中的应用. 生态学报, 2001, 21(1): 28-33.]

[13] Hou Jingru, Yin Zhennan, Li Weiming et al. Applied Geostatistics. Beijing: Geological Publshing House, 1998, 223-245.
[侯景儒, 尹镇南, 李维明 等. 实用地质统计学. 北京: 地质出版社, 1998, 223-245.]

[14] Oleg Antinoc. Modelling daily topographic solar radiation without site-specific hourly radiation data. Ecological Modelling, 1998, 113: 31-40.

[15] Swift L W. Algorithm for solar radiation on mountain slopes. Water Resources Research, 1976, 12: 108-112.

[16] Fu Baopu. 1983. Mountain Climate. Beijing: Science Press, 1983.
[傅抱璞. 山地气候. 北京: 科学出版社, 1983.]

[17] Li Xin, Cheng Guodong et al. Improvement of solar radiation model on arbitrary territories. Chinese Science Bulletin, 1999, 44(9): 993-998.
[李新, 程国栋 等. 任意地形条件下太阳辐射模型的改进. 科学通报, 1999, 44(9): 993-998.]

[18] Li Zhanqing, Weng Duming. Mode of global solar radiation in hill and moutain. Acta Meteorologica Sinca, 1988, 46(4): 461-468.
[李占清, 翁笃鸣. 丘陵山地总辐射的计算模式. 气象学报, 1988, 46(4): 461-468.]

[19] Dubayah R, P M Rich. Topographic solar radiation models for GIS. International Journal of Geographic Information Systems, 1995, 9: 405-413.

[20] Hetrick W A, P M Rich, S B Weiss. Modeling insolation on complex surfaces. Thirteen Annual ESRI User Conference, 1993, 2: 447-458.

[21] Hetrick W A, P M Rich, F J Barnes et al. GIS-based solar radiation flux models. American Society for Photogrammetry and Remote Sensing Technical Papers, Vol 3, GIS Photogrammetry and Modeling, 1993. 132-143.

[22] Beven K J, Kirkby M J. A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 1979, 24 (1): 43-69.

[23] Moore I D, G J Burch, D H Mackenzie. Topographic effects on the distribution of surface soil water and the location of ephemeral gullies. Transactions American Society Agricultural Engineers, 1988, 31: 1098-1107.

[24] Quinn P F, Beven K J, Lamp R. The ln (a/tanβ) index: how to calculate it and how to use it within the TOPMODEL framework. Hydrol. Process, 1995, 9(2): 161-182.

文章导航

/