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

• Published in: Journal of Integrative Agriculture Vol. 21; no. 1; pp. 235 - 248
• Main Authors: CHU, Xiao-lei, LU, Zhong, WEI, Dan, LEI, Guo-ping
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2022; Land Management Institute,Northeastern University,Shenyang 110169,P.R.China; College of Surveying and Mapping Engineering,Heilongjiang Institute of Technology,Harbin 150050,P.R.China%Land Management Institute,Northeastern University,Shenyang 110169,P.R.China%College of Resources and Environment,Northeast Agricultural University,Harbin 150030,P.R.China; Institute of Plant Nutrition and Resources,Beijing Academy of Agricultural and Forestry Sciences,Beijing 100097,P.R.China%College of Resources and Environment,Northeast Agricultural University,Harbin 150030,P.R.China; College of Resources and Environment,Northeast Agricultural University,Harbin 150030,P.R.China; Elsevier
• Subjects: gravity center model; land use/cover change (LUCC); precipitation; satellite remote sensing; Songnen Plain; temperature; temperature; precipitation; satellite remote sensing; land use/cover change (LUCC); Songnen Plain; gravity center model
• ISSN: 2095-3119; 2352-3425
• DOI: 10.1016/S2095-3119(20)63495-5

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.