Spatial-temporal Evolution Characteristics of Land Use Carbon Emissions in Ningxia Hui Autonomous Region

Jia Keli; Li Haoyu; Liu Ruiliang; Li Xiaoyu; Yang Siyu

doi:10.13961/j.cnki.stbctb.2023.05.037

您当前的位置：

首页 >

文章列表页 >

Spatial-temporal Evolution Characteristics of Land Use Carbon Emissions in Ningxia Hui Autonomous Region

- Spatial-temporal Evolution Characteristics of Land Use Carbon Emissions in Ningxia Hui Autonomous Region
- Bulletin of Soiland Water Conservation Vol. 43, Issue 5, Pages: 312-319(2023)
- 作者机构：
  
  宁夏大学地理科学与规划学院,宁夏,银川,750021
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.05.037
  CLC： X32;F301.2
- Published：2023
- 稿件说明：
移动端阅览
Jia Keli, Li Haoyu, Liu Ruiliang, et al. Spatial-temporal Evolution Characteristics of Land Use Carbon Emissions in Ningxia Hui Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 312-319.
DOI：

Jia Keli, Li Haoyu, Liu Ruiliang, et al. Spatial-temporal Evolution Characteristics of Land Use Carbon Emissions in Ningxia Hui Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 312-319. DOI： 10.13961/j.cnki.stbctb.2023.05.037.

摘要

[目的

]

土地利用变化是影响碳排放和环境质量的重要驱动力之一。研究土地利用碳排放时空格局变化与效应，为制定低碳发展策略提供理论依据。[方法

]

基于灰色理论和生态承载系数，利用1980—2020年宁夏回族自治区22个县区土地利用和能源消耗数据，分析了土地利用变化与碳排放强度变化及效应。[结果

]

①碳排放变化量与土地利用变化之间具有密切的关联性。其中，建设用地与碳排放的关联度最大，为0.95。②1980—2020年宁夏土地利用类型碳排放量净增加了5.24×10

t，增幅625.43%。建设用地面积以年均4.42%的速率增长，碳排放量增幅达2 385.85%；草地面积减少了2.95×10

，碳汇量减少了5.80×10

t；林地对碳汇的贡献超过75%，且随林地面积的不断增大而增加。③1980—2020年宁夏土地利用碳排放强度以年均0.25 t/hm

的速率增大，中度及以上等级覆盖面积逐渐增大，在空间上形成沿黄城市碳排放强度高于中、南部的分布格局。④宁夏各县区碳排放生态承载系数空间差异明显，碳生态容量表现出北弱南强的分布格局。[结论

]

1980—2020年宁夏土地利用碳排放强度逐渐增大，北部沿黄河各县区碳生态容量逐渐减小，中南部县区碳生态容量增大，但减排压力较大。建议优化建设用地空间格局，增加混交林面积，增强森林碳汇能力。

Abstract

[Objective] Land use change is one of the important driving forces for increasing carbon emissions and the environmental quality. The temporal and spatial pattern changes and effects of land use carbon emissions were analyzed in order to provide a theoretical basis for the formulation of low-carbon development strategies. [Methods] The internal relationships between land use changes and carbon emissions

carbon emission intensity and ecological effect were determined based on gray theory and ecological carrying coefficient by using land use and energy consumption data for 22 counties in Ningxia Hui Autonomous Region from 1980 to 2020. [Results] ① There was a close correlation between carbon emission changes and land use changes. The correlation between construction land and carbon emissions was the largest (0.95). ② Net carbon emissions of land use types in Ningxia increased by 5.24×107 t and had a growth rate of 625.43% from 1980 to 2020. This pattern was associated with significant increases in construction land area and carbon emissions (average annual rates of 4.42% and 2385.85%

respectively) during the period of 1980—2020. Additionally

grassland area decreased by 2.95×105 hm2

and the carbon sink decreased by 5.80×104 t. Forest land was the main carbon sink

accounting for more than 75% of the carbon sink in 2020

and increased with increasing area. ③ The carbon emission intensity of land use in Ningxia increased at an average annual rate of 0.25 t/hm2 from 1980 to 2020

and the coverage area of moderate and above grades increased gradually. A spatial distribution pattern of carbon emission intensity for cities along the Yellow River developed higher than observed for the central and southern regions. ④ Due to differences in county economic level and natural environment

the spatial differences in ecological support coefficients of carbon emissions for the 22 counties in Ningxia was obvious

and the distribution pattern of carbon sink capacity was weak in the north and strong in the south. [Conclusion] The carbon emission intensity of land use in Ningxia gradually increased from 1980 to 2020. The carbon ecological capacity of counties along the Yellow River in the north gradually decreased. The carbon ecological capacity of counties in the central and southern regions increased

but the pressure of emission reduction was greater. We recommend optimizing the spatial pattern of construction land

increasing the area of mixed forests

and enhancing forest carbon sink capacity.

关键词

Keywords

references

李彦旻,沈育生,王世航.基于土地利用变化的安徽省陆地碳排放时空特征及效应[J].水土保持学报,2022,36(1):182-188.

易丹,欧名豪,郭杰,等.土地利用碳排放及低碳优化研究进展与趋势展望[J].资源科学,2022,44(8):1545-1559.

Yang Hang, Huang Junlong, Liu Dianfeng. Linking climate change and socioeconomic development to urban land use simulation: analysis of their concurrent effects on carbon storage [J]. Applied Geography, 2020,115:102135.

Han Ji, Zhou Xiang, Xiang Weining. Research progress of land use effects on carbon emissions and low carbon management [J]. Acta Ecologica Sinica, 2016,36(4):1152-1161.

Tian Shiqi, Wang Shijie, Bai Xiaoyong, et al. Global patterns and changes of carbon emissions from land use during 1992—2015[J]. Environmental Science and Ecotechnology, 2021,7:100108.

中国气象报. 六次评估报告第三工作组报告[N],中国气象报,2022-4-6(1).

丁学谦,吴群,刘向南,等.土地利用、经济高质量发展与碳排放耦合协调度及影响因素: 来自中国282个地级市的经验研究[J].资源科学,2022,44(11):2233-2246.

汪菲,王长建.新疆能源消费碳排放的多变量驱动因素分析: 基于扩展的STIRPAT模型[J].干旱区地理,2017,40(2):441-452.

牛亚文,赵先超,胡艺觉.基于NPP-VIIRS夜间灯光的长株潭地区县域土地利用碳排放空间分异研究[J].环境科学学报,2021,41(9):3847-3856.

马远,刘真真.黄河流域土地利用碳排放的时空演变及影响因素研究[J].生态经济,2021,37(7):35-43.

冯杰,张胜,王涛.中国省际土地利用碳排放及其影响因素分析[J].统计与决策,2019,35(5):141-145.

沈杨,汪聪聪,高超,等.基于城市化的浙江省湾区经济带碳排放时空分布特征及影响因素分析[J].自然资源学报,2020,35(2):329-342.

袁壮壮,叶长盛,李辉丹.基于土地利用变化的南昌市碳排放效应分析[J].湖南师范大学自然科学学报,2021,44(5):30-39.

Luo Xiang, Ao Xinhe, Zhang Zuo, et al. Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints [J]. Journal of Geographical Sciences, 2020,30(4):535-552.

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.

刘华军,邵明吉,吉元梦.中国碳排放的空间格局及分布动态演进: 基于县域碳排放数据的实证研究[J].地理科学,2021,41(11):1917-1924.

郑永超,文琦.宁夏自治区土地利用变化及碳排放效应[J].水土保持研究,2020,27(1):207-212.

Guan Yang, Kang Lei, Shao Chaofeng, et al. Measuring County-level heterogeneity of CO

emissions attributed to energy consumption: a case study in Ningxia Hui Autonomous Region, China [J]. Journal of Cleaner Production, 2017,142:3471-3481.

孙梦华,牛文浩,张蚌蚌,等.黄河流域土地利用变化下生态系统服务价值时空演变及其响应: 以陕甘宁地区为例[J].应用生态学报,2021,32(11):3913-3922.

宁夏回族自治区统计局,国家统计局宁夏调查总队.宁夏统计年鉴[M].北京:中国统计出版社,2022.

严慈,侯兰功.基于灰色理论的陕西省土地利用变化及其碳排放研究[J].西安理工大学学报,2021,37(1):25-31.

周嘉,杨琳,董美娜,等.基于土地利用的哈尔滨市2004—2012年碳排放强度变化分析[J].地理科学,2015,35(3):322-327.

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.

汪一鸣.宁夏人地关系演化研究[M].宁夏银川:宁夏人民出版社,2005.

毛鸿欣,贾科利,高曦文,等.1980—2018年银川平原土地利用变化时空格局分析[J].科学技术与工程,2020,20(20):8008-8018.

Friedlingstein P, O'Sullivan M, Jones M W, et al. Global carbon budget 2020[J]. Earth System Science Data, 2020(12):3269-3340.

Mendelsohn R, Sohngen B. The net carbon emissions from historic land use and land use change [J]. Journal of Forest Economics, 2019,34(3/4):263-283.

邹晓明,王国兵,葛之葳,等.林业碳汇提升的主要原理和途径[J].南京林业大学学报(自然科学版),2022,46(6):167-176.

贾科利,李小雨,魏慧敏,等.宁夏县域土地利用碳排放空间分异与风险研究[J/OL].干旱区地理. https://kns.cnki.net/kcms/detail//65.1103.x.20230227.1848.001.html.

周永斌,邹晓明.从适地适树到适钙适树的理论与例证[J].南京林业大学学报(自然科学版),2017,41(2):1-8.

Views

610

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Temporal and Spatial Differences in Carbon Emissions and Carbon Neutrality Caused by Land Use Changes in Fujian Province

Decoupling Relationship Between Land Use Intensity and Carbon Emissions in Henan Province During 2000-2020

Spatial-temporal Evolution Characteristics and Influencing Factors of Carbon Emissions in Yunnan Province Based on Land Use Changes

Spatial Patterns of Carbon Emission from Land Use and Carbon Balance Partitioning in Chengdu-Chongqing Economic Zone

Spatiotemporal evolution of productive-living-ecological space at county level of Qinling-Daba Mountains area under background of urban-rural integration

Related Author

Zhou Ping

Chen Songlin

Li Jing

Li Chenxin

Meng Qingxiang

Liu Qi

Li Baolu

Zheng Yanna

Related Institution

School of Geographical Science, Fujian Normal University

Provincial Key Laboratory of Subtropical Resources and Environment of Fujian Province

College of Resources and Environment, Henan Agricultural University

School of Architecture and Urban Planning, Yunnan University

College of Economics, Sichuan University of Science and Engineering

⁰