1. 四川农业大学 资源学院,四川,成都,610000
2. 自然资源部 耕地资源调查监测与保护利用重点实验室,四川,成都,610000
纸质出版:2023
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张文英, 高雪松, 王启. 沱江流域土地利用碳平衡与人类活动强度的关系[J]. 水土保持通报, 2023,43(3):349-356.
Zhang Wenying, Gao Xuesong, Wang Qi. Relationship Between Land Use Carbon Balance and Human Activity Intensity in Tuojiang River Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 349-356.
张文英, 高雪松, 王启. 沱江流域土地利用碳平衡与人类活动强度的关系[J]. 水土保持通报, 2023,43(3):349-356. DOI: 10.13961/j.cnki.stbctb.2023.03.039.
Zhang Wenying, Gao Xuesong, Wang Qi. Relationship Between Land Use Carbon Balance and Human Activity Intensity in Tuojiang River Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 349-356. DOI: 10.13961/j.cnki.stbctb.2023.03.039.
[目的
]
研究土地利用碳平衡与人类活动强度间的协同关系,为沱江流域的区域协同碳减排规划及实现中国“碳达峰、碳中和”目标提供参考。[方法
]
基于2000—2020年土地利用及社会经济数据,使用碳排放经济贡献系数、碳生态承载系数、人类活动强度指标,耦合协调度模型及回归分析方法,核算了沱江流域土地利用碳排放量并分析了土地利用碳平衡与人类活动强度的时空演变特征及其协同关系。[结果
]
研究表明,2000—2020年沱江流域碳排放量增加了5.13×10
7
t,其中建设用地碳排放量占90%以上;碳吸收量变化不大,主要来自林地,呈现先减后增的趋势;净碳排放增长率呈下降趋势。各区县的土地利用碳平衡协调度均在提升,但70%以上的区域处于失调衰退状态。沱江流域人类活动强度整体处于中等强度水平,空间上从北向南呈现“低—高—低—高”的格局。[结论
]
人类活动强度与人均GDP、人均碳排放均存在显著的正相关关系。土地利用碳平衡协调度与人类活动强度的负相关关系随着技术进步与能源利用效率的提高而降低。提高碳汇能力与碳生产力是改善区域土地利用碳平衡协调水平的有效途径。
[Objective] The synergistic relationship between land use carbon balance and human activity intensity were studied in order to provide a reference for regional collaborative carbon emission reduction planning in the Tuojiang River basin
and thereby meet the goal of "carbon peak and carbon neutrality" in China.[Methods] Using land use and socio-economic data from 2000 to 2020
carbon emission economic contribution coefficient
carbon ecological carrying coefficient
human activity intensity indicators
a coupled coordination model
and regression analysis
we calculated carbon emissions from land use in the Tuojiang River basin. We then analyzed the spatiotemporal evolution characteristics and synergistic relationship between land use carbon balance and human activity intensity.[Results] Carbon emissions in the Tuojiang River basin increased by 5.13×107 t from 2000 to 2020
with construction land accounting for over 90% of carbon emissions. The small change in carbon absorption mainly resulted from forest land showing a change pattern of initially decreasing and then increasing. The growth rate of net carbon emissions showed a downward trend. The coordination of land use carbon balance in each district and county was improving
but more than 70% of the region was in a state of imbalance and decline. The overall intensity of human activities in the Tuojiang River basin was at a moderate level
with a spatial pattern of "low-high-low-high" from north to south.[Conclusion] There was a significant positive correlation between human activity intensity and per capita GDP and per capita carbon emissions. The negative correlation between land use carbon balance coordination and human activity intensity decreased with technological progress and increased energy utilization efficiency. Improving carbon sequestration capacity and carbon productivity is an effective way to improve the coordination level of regional land use carbon balance. The results of this study provide a reference for regional collaborative carbon emission reduction planning in the Tuojiang River basin.
徐勇,孙晓一,汤青.陆地表层人类活动强度:概念、方法及应用[J].地理学报,2015,70(7):1068-1079.
陶波,葛全胜,李克让,等.陆地生态系统碳循环研究进展[J].地理研究,2001,20(5):564-575.
IPCC. Climate change and land:An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems[M/OL]. 2019[2019-09-16]. https://www.ipcc.ch/srccl/.
韩骥,周翔,象伟宁.土地利用碳排放效应及其低碳管理研究进展[J].生态学报,2016,36(4):1152-1161.
Ghosh S, Dinda S, Das Chatterjee N, et al. Spatial-explicit carbon emission-sequestration balance estimation and evaluation of emission susceptible zones in an Eastern Himalayan city using pressure-sensitivity-resilience framework:An approach towards achieving low carbon cities[J]. Journal of Cleaner Production,2022,336:130417.
赵荣钦,黄贤金,揣小伟.中国土地利用碳排放的研究误区和未来趋向[J].中国土地科学,2016,30(12):83-92.
赖力.中国土地利用的碳排放效应研究[D].江苏南京:南京大学,2010.
孙赫,梁红梅,常学礼,等.中国土地利用碳排放及其空间关联[J].经济地理,2015,35(3):154-162.
李缘缘,魏伟,周俊菊,等.中国土地利用碳排放变化及协调分区[J].环境科学,2023,44(3):1267-1276.
徐影,郭楠,茹凯丽,等.碳中和视角下福建省国土空间分区特征与优化策略[J].应用生态学报,2022,33(2):500-508.
魏燕茹,陈松林.福建省土地利用碳排放空间关联性与碳平衡分区[J].生态学报,2021,41(14):5814-5824.
杨静媛,张明,多玲花,等.江西省土地利用碳排放空间格局及碳平衡分区[J].环境科学研究,2022,35(10):2312-2321.
Wang Chao, Zhan Jinyan, Zhang Fan, et al. Analysis of urban carbon balance based on land use dynamics in the Beijing-Tianjin-Hebei region, China[J]. Journal of Cleaner Production, 2021,281:125138.
宋苑震,覃盟琳,袁倩文,等.碳平衡导向下北部湾城市群碳汇用地布局优化研究[J].广西大学学报(自然科学版),2020,45(5):1071-1082.
Kumar A, Singh D, Mahapatra S K. Energy and carbon budgeting of the pearl millet-wheat cropping system for environmentally sustainable agricultural land use planning in the rainfed semi-arid agro-ecosystem of Aravalli foothills[J]. Energy, 2022,246:123389.
Zhang Runsen, Matsushima K, Kobayashi K. Can land use planning help mitigate transport-related carbon emissions? A case of Changzhou[J]. Land Use Policy, 2018,74:32-40.
赵荣钦,张帅,黄贤金,等.中原经济区县域碳收支空间分异及碳平衡分区[J].地理学报,2014,69(10):1425-1437.
Xia Chang, Yeh A G O, Zhang Anqi. Analyzing spatial relationships between urban land use intensity and urban vitality at street block level:A case study of five Chinese megacities[J]. Landscape and Urban Planning, 2020,193:103669.
Newbold T, Scharlemann J P W, Butchart S H M, et al. Ecological traits affect the response of tropical forest bird species to land-use intensity[J]. Proceedings Biological Sciences, 2013,280(1750):20122131.
Jiang Li, Deng Xiangzheng, Seto K C. The impact of urban expansion on agricultural land use intensity in China[J]. Land Use Policy, 2013,35:33-39.
庄大方,刘纪远.中国土地利用程度的区域分异模型研究[J].自然资源学报,1997,12(2):105-111.
四川省水利电力厅.沱江志[M].四川城都:四川省水利电力厅,1991.
Yang Jie, Huang Xin. The 30 m annual landcover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021,13(8):3907-3925.
景勇,左玲丽,彭文甫.四川盆地西北部土地利用碳排放时空变化分析:以绵阳市为例[J].环境科学与技术,2021,44(6):172-185.
彭文甫,樊淑云,潘荟交,等.区域土地利用变化的碳排放效应及时空格局研究[J].生态经济,2013,29(9):28-33.
方精云,郭兆迪,朴世龙,等.1981-2000年中国陆地植被碳汇的估算[J].中国科学(D辑:地球科学),2007,37(6):804-812.
肖红艳,袁兴中,李波,等.土地利用变化碳排放效应研究:以重庆市为例[J].重庆师范大学学报(自然科学版),2012,29(1):38-42.
Chuai Xiaowei, Gao Runyi, Huang Xianjin, et al. The embodied flow of built-up land in China's interregional trade and its implications for regional carbon balance[J]. Ecological Economics, 2021,184:106993.
卢鹤立.土地利用碳排放核定方法与案例分析[M].北京:科学出版社,2016.
王淑佳,孔伟,任亮,等.国内耦合协调度模型的误区及修正[J].自然资源学报,2021,36(3):793-810.
廖重斌.环境与经济协调发展的定量评判及其分类体系:以珠江三角洲城市群为例[J].热带地理,1999,19(2):171-177.
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