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2022 , Vol. 39 >Issue 1: 21 - 33

DOI: https://doi.org/10.7523/j.ucas.2020.0047

生物学

2000—2019年内蒙古草地地上生物量的时空变化特征

  • 乐荣武 ,
  • 张娜 ,
  • 王晶杰 ,
  • 李振宇 ,
  • 闫志辉 ,
  • 冯一鸣
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  • 1. 中国科学院大学资源与环境学院, 北京 101408;
    2. 中国科学院大学 北京燕山地球关键带国家野外科学观测研究站, 北京 101408;
    3. 内蒙古自治区草原勘察规划院, 呼和浩特 010051;
    4. 内蒙古锡林郭勒盟草原工作站, 内蒙古 锡林浩特 026000

收稿日期: 2020-06-15

  修回日期: 2020-08-03

  网络出版日期: 2020-08-03

基金资助

中国科学院战略性先导科技专项（XDA20050103）资助

收起

Spatiotemporal variation of grassland aboveground biomass in Inner Mongolia from 2000 to 2019

  • YUE Rongwu ,
  • ZHANG Na ,
  • WANG Jingjie ,
  • LI Zhenyu ,
  • YAN Zhihui ,
  • FENG Yiming
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  • 1. College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 101408, China;
    2. Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing 101408, China;
    3. Institute of Grassland Survey and Planning of Inner Mongolia, Hohhot 010051, China;
    4. Grassland Station of Xilingol League, Xilinhot 026000, Inner Mongolia, China

Received date: 2020-06-15

  Revised date: 2020-08-03

  Online published: 2020-08-03

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摘要

对内蒙古不同草地类型分别构建基于实测地上生物量（aboveground biomass，AGB）和遥感指数的随机森林模型。在验证可靠的基础上，模拟2000—2019年内蒙古草地最大AGB。结果表明，内蒙古各处草地的年均最大AGB为（82.74±56.34） g/m2，东北高西南低；由高到低依次为：温性草甸草原、低地草甸、温性典型草原、温性荒漠草原、温性草原化荒漠和温性荒漠。总体上，年均最大AGB呈显著增加趋势，其中低地草甸和温性典型草原增加最为显著。最大AGB呈增加趋势的面积占70.62%，显著增加的面积占16.28%；所有类型草地最大AGB显著增加的面积均大于显著降低的面积。然而，所有类型草地最大AGB的增加均是波动的，其中，温性荒漠的波动最小，温性荒漠草原的波动最大。夏季气温与累积降水的交互作用对AGB的正效应最大，其次为1—8月总降水量，而夏季气温对AGB的影响不大，且为负效应。

关键词： 草地类型; 随机森林模型; 趋势变化; 年际波动性; 气候影响

本文引用格式

乐荣武 , 张娜 , 王晶杰 , 李振宇 , 闫志辉 , 冯一鸣 . 2000—2019年内蒙古草地地上生物量的时空变化特征[J]. 中国科学院大学学报, 2022 , 39(1) : 21 -33 . DOI: 10.7523/j.ucas.2020.0047

Abstract

Based on the acquisition of a large number of grassland aboveground biomass (AGB) field sampling data and the corresponding remote sensing indices, random forest (RF) models were constructed for different grassland types in Inner Mongolia. After validating the reliability of the models, the maximum AGB values from 2000 to 2019 were simulated. The results showed that the average annual maximum AGB was (82.74±56.34)g/m2, gradually declining from northeast to southwest. The grassland types in the order of decreasing AGB:temperate meadow steppe, lowland meadow, temperate typical steppe, temperate desert steppe, temperate steppe desert, and temperate desert. From 2000 to 2019, the maximum AGB showed an overall significantly rising trend, and increased most significantly for lowland meadow and temperate typical steppe. The maximum AGB exhibited increasing trend for 70.62% of Inner Mongolia, and increased significantly for 16.28% of the area. The area with significantly increasing AGB was larger than that with significantly decreasing AGB for all the grassland types. However, the maximum AGB for all grassland types was on the fluctuant increase, and the temperature desert steppe had the largest interannual fluctuation while temperature desert the smallest. The interaction between summer air temperature and accumulated precipitation had the greatest positive effect on AGB, followed by the total precipitation from January to August, while summer air temperature had little negative effect on AGB.

Key words： grassland type; random forest model; trend variation; interannual fluctuation; climate effect

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