Zhang Xinmin, Fan Houbao, Hou Hao, Xu Chuanqi, Sun Lu, Li Qiangyi, Ren Jingzheng
School of Applied Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China; School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
School of Applied Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China.
Sci Total Environ. 2024 Apr 20;922:171149. doi: 10.1016/j.scitotenv.2024.171149. Epub 2024 Feb 24.
The coupling relationship between land-use carbon emissions (LCE) and ecological environmental quality (EEQ) is critical for regional sustainable development. Rapid urbanization promotes a notable increase in LCE, which imparts significant stress on EEQ. This study used land use and cover change (LUCC) and Open-Data Inventory for Anthropogenic Carbon dioxide (ODIAC) data from the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) to evaluate LCE, applied a remote sensing ecological index (RSEI) model to calculate EEQ, and combined gravity and centroid movement trajectory models to analyze the spatiotemporal evolution characteristics of LCE and EEQ. Four-quadrant and coupling degree (CD) models were used to analyze the synergistic relationship and interaction intensity between LCE and EEQ based on three different scales of pixels, counties, and cities. The results show that: (1) LCE and EEQ exhibit clear spatial inequality distribution, and the total amount of LCE increased from 40.16 Mt. in 2000 to 131.99 Mt. in 2020; however, LCE has not yet reached peak carbon emissions. (2) From 2000 to 2020, cities with a strong correlation between LCE and EEQ showed an increasing trend, and the centroid of LCE moved sharply to Jiangxi during 2000-2005 and 2005-2010. (3) High-CD areas were primarily located in quadrant II, and low-CD areas in quadrant IV. The relationship between LCE and EEQ has improved over the past 21 years, and CD has been increasing. (4) The stability of the coupling results between LCE and EEQ was affected by different research scales; the larger the research scale is, the greater the change in the results. This study provides a scientific basis and practical scheme for LCE reduction, ecological environmental management, and regional sustainable development in the UAMRYR.
土地利用碳排放(LCE)与生态环境质量(EEQ)之间的耦合关系对区域可持续发展至关重要。快速城市化促使LCE显著增加,这给EEQ带来了巨大压力。本研究利用长江中游城市群(UAMRYR)的土地利用和覆盖变化(LUCC)以及人为二氧化碳开放数据清单(ODIAC)数据来评估LCE,应用遥感生态指数(RSEI)模型计算EEQ,并结合重力和质心移动轨迹模型分析LCE和EEQ的时空演变特征。基于像素、县和市三种不同尺度,采用四象限和耦合度(CD)模型分析LCE与EEQ之间的协同关系和相互作用强度。结果表明:(1)LCE和EEQ呈现出明显的空间不均衡分布,LCE总量从2000年的40.16 Mt增加到2020年的131.99 Mt;然而,LCE尚未达到碳排放峰值。(2)2000年至2020年期间,LCE与EEQ相关性较强的城市呈上升趋势,LCE质心在2000 - 2005年和2005 -