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祁连山典型小流域高寒草地生物量估算及空间分布特征

苏玉波 张福平 冯起 魏永芬 李广文 马倩倩 宋智渊

陕西师范大学学报(自然科学版)Issue(2):79-84,6.
陕西师范大学学报(自然科学版)Issue(2):79-84,6.DOI:10.15983/j.cnki.jsnu.2015.02.421

祁连山典型小流域高寒草地生物量估算及空间分布特征

Estimation of alpine grassland biomass and analysis of its spatial distribution characteristics in typical small watershed of Qilian Mountain

苏玉波 1张福平 1冯起 2魏永芬 3李广文 4马倩倩 1宋智渊1

作者信息

  • 1. 陕西师范大学 旅游与环境学院,陕西 西安 710119
  • 2. 中国科学院 寒区旱区环境与工程研究所,甘肃 兰州 730000
  • 3. 中国科学院 寒区旱区环境与工程研究所,甘肃 兰州 730000
  • 4. 日本国立岐阜大学 流域圈科学研究中心,日本 岐阜 501-1193
  • 折叠

摘要

Abstract

Based on the field survey data,the alpine meadow and alpine grass biomass were estimated with the statistical analysis method in Babao river basin located in Qilian Mountain firstly. Then, in combination with the normalized difference vegetation index (NDVIGS ) examined by GreenSeeker and NDVILD ,derived from multi-spectral remote sensing data of the same period,a regression model to estimate the alpine grassland biomass was established,and a quantitative assessment was also carried out.The result shows that the average of aboveground and belowground biomass were estimated to be 216.78 g/m2 and 2 985.07 g/m2 ,respectively. Through comparing models (linear, exponential, and logarithmic ) used to estimate the aboveground biomass of alpine grassland,it found that the best fitting one is the exponential relation (n=40,R 2 =0.731,P <0.01).Furthermore,the examination accuracy is 72% based on survey data,and established model is suitable for alpine grassland biomass estimation.Using the best regression model,the highest and lowest of alpine grass biomass were respectively estimated to be 459.54 g/m2 and 45.12 g/m2 ,and the total aboveground biomass was estimated to be 0.198 ×109 kg in Babao river basin.

关键词

高寒草地/生物量/模型/空间分布

Key words

alpine grass/biomass/model/spatial distribution

分类

农业科技

引用本文复制引用

苏玉波,张福平,冯起,魏永芬,李广文,马倩倩,宋智渊..祁连山典型小流域高寒草地生物量估算及空间分布特征[J].陕西师范大学学报(自然科学版),2015,(2):79-84,6.

基金项目

陕西省“百人计划”项目;国家科技支撑计划(2012BAC08B07);中 国 博 士 后 科 学 基 金 资 助 项目(2011M501496);中央高校基本科研业务费专项资金项目 ()

陕西师范大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-4291

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