Journal of Integrative Agriculture ›› 2022, Vol. 21 ›› Issue (1): 235-248.DOI: 10.1016/S2095-3119(20)63495-5

所属专题: 农业生态环境-灌溉合辑Agro-ecosystem & Environment—Irrigation 农业生态环境-遥感合辑Agro-ecosystem & Environment—Romote sensing

• • 上一篇    下一篇

中国松嫩平原土地利用/覆盖变化对降水和气温时空变异的影响

  

  • 收稿日期:2020-07-27 接受日期:2020-11-09 出版日期:2022-01-01 发布日期:2022-01-02

Effects of land use/cover change (LUCC) on the spatiotemporal variability of precipitation and temperature in the Songnen Plain, China

CHU Xiao-lei1, 2, LU Zhong3, WEI Dan1, 4, LEI Guo-ping1, 3     

  1. 1 College of Resources and Environment, Northeast Agricultural University, Harbin 150030, P.R.China
    2 College of Surveying and Mapping Engineering, Heilongjiang Institute of Technology, Harbin 150050, P.R.China
    3 Land Management Institute, Northeastern University, Shenyang 110169, P.R.China
    4 Institute of Plant Nutrition and Resources, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, P.R.China
  • Received:2020-07-27 Accepted:2020-11-09 Online:2022-01-01 Published:2022-01-02
  • About author:CHU Xiao-lei, E-mail: chuxiaolei@126.com; Correspondence LEI Guo-ping, Tel: +86-24-83690340, E-mail: guopinglei@126.com; WEI Dan, Tel: +86-10-51503585, E-mail: wd2087@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (41671520), and the Harbin Youth Reserve Talent Program, China (2016RAQXJ058). 

摘要:

土地利用/覆盖变化(LUCC)对区域气候的影响是实现土地利用系统可持续发展和减缓全球气候变化的关键,然而关于LUCC对降水和气温等气候因子变化影响的定量分析研究仍十分有限。本研究采用统计和重心模型模拟相结合的方法,定量分析了1980-2018年间我国东北松嫩平原LUCC对降水和气温的长期影响。结果发现LUCC的时空变化特征如下:该地区水田面积增加最多(15,166.43 km2),旱地次之,由于过度的农业开发利用导致湿地减少最多(19,977.13 km2);1980年以来该地区年平均降水量-9.89 mm/10a的速率呈现下降趋势,年平均气温变化则呈显著上升趋势,上升变化率为0.256℃/10a进一步通过重心模型模拟发现:水田、林地以及湿地重心变化与降水重心的变化呈正相关,建筑用地、旱田与未利用地重心变化与降水重心的变化呈负相关,林地较其它用地类型对年降水量增加的促进作用最为明显。建筑用地是对年平均气温增加起促进作用最大的用地类型,最小的是林地。总之,在区域尺度下土地利用/覆盖变化分析表明湿地减少、建筑用地和农业用地增加导致了松嫩平原持续干旱和气温快速变暖。

Abstract: Understanding the effects of land use/cover change (LUCC) on regional climate is critical for achieving land use system sustainability and global climate change mitigation.  However, the quantitative analysis of the contribution of LUCC to the changes of climatic factors, such as precipitation & temperature (P&T), is lacking.  In this study, we combined statistical methods and the gravity center model simulation to quantify the effects of long-term LUCC on P&T in the Songnen Plain (SNP) of Northeast China from 1980–2018.  The results showed the spatiotemporal variability of LUCC. For example, paddy field had the largest increase (15 166.43 km2) in the SNP, followed by dry land, while wetland had the largest decrease (19 977.13 km2) due to the excessive agricultural utilization and development.  Annual average precipitation decreased at a rate of –9.89 mm per decade, and the warming trends were statistically significant with an increasing rate of 0.256°C per decade in this region since 1980.  The model simulation revealed that paddy field, forestland, and wetland had positive effects on precipitation, which caused their gravity centers to migrate towards the same direction accompanied by the center of precipitation gravity, while different responses were seen for building land, dry land and unused land.  These results indicated that forestland had the largest influence on the increase of precipitation compared with the other land use types.  The responses in promoting the temperature increase differed significantly, being the highest in building land, and the lowest in forestland.  In general, the analysis of regional-scale LUCC showed a significant reduction of wetland, and the increases in building land and cropland contributed to a continuous drying and rapid warming in the SNP.


Key words: land use/cover change (LUCC) , precipitation ,  temperature , Songnen Plain , gravity center model , satellite remote sensing