Spatio-temporal evolution patterns of carbon budget in the Xinjiang Production and Construction Corps

CHEN Dongqin; CHENG Zhiyun; XIONG Wencheng; LU Xiangjun

doi:10.13205/j.hjgc.202604028

Volume 44 Issue 4

Apr. 2026

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CHEN Dongqin, CHENG Zhiyun, XIONG Wencheng, LU Xiangjun. Spatio-temporal evolution patterns of carbon budget in the Xinjiang Production and Construction Corps[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(4): 278-286. doi: 10.13205/j.hjgc.202604028

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CHEN Dongqin, CHENG Zhiyun, XIONG Wencheng, LU Xiangjun. Spatio-temporal evolution patterns of carbon budget in the Xinjiang Production and Construction Corps[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(4): 278-286. doi: 10.13205/j.hjgc.202604028

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Spatio-temporal evolution patterns of carbon budget in the Xinjiang Production and Construction Corps

doi: 10.13205/j.hjgc.202604028

1. China Sciences Mapuniverse Technology Co., Ltd., Zhengzhou 450003, China;
2. Satellite Environment Application Center of the Ministry of Ecology and Environment, Beijing 100094, China;
3. Xinjiang Production and Construction Corps Ecological Environment Fourth Monitoring Station, Kekedala 835900, China

Received Date: 2025-04-22
Available Online: 2026-06-06
Publish Date: 2026-04-01

Abstract

Abstract

This paper comprehensively and accurately calculated carbon budgets at the county level and explored their spatio-temporal evolution patterns， aiming to identify pathways for low-carbon economic development suited to each county and to contribute to achieving the carbon peaking and carbon neutrality goals of the Xinjiang Production and Construction Corps. From the perspectives of the entire terrestrial ecosystem and human activities encompassing energy consumption and human respiration， this study constructed a relatively comprehensive， accurate， and unified spatial model for measuring and evaluating carbon emissions， carbon absorption， and carbon budgets across spatial and temporal dimensions. This model was used to measure carbon absorption by the terrestrial ecosystem， human-induced carbon emissions， and carbon budgets in the Xinjiang Production and Construction Corps and its constituent divisions from 2010 to 2020， exploring their spatio-temporal evolution patterns at different scales， specifically the city and county levels. In addition， based on the economy contributive coefficient （ECC） and ecological support coefficient （ESC）， this paper conducted carbon balance zoning for each division. The results showed that： 1） The total carbon absorption of the terrestrial ecosystem consistently represented net carbon absorption， showing a continuous and slow decreasing trend， with carbon sequestration capacity in persistent decline. The only carbon source， cultivated land， expanded rapidly year by year in the direction of carbon sinks such as forests and grasslands. Human-induced carbon emissions exhibited a continuous and steady upward trend， although their growth rate began to decline sharply after 2015. Spatially， they presented a distribution pattern of "high in the north and east， low in the south and west". 2） Carbon emissions/absorptions underwent a process of rapid increase from 2010 to 2015， followed by slower growth from 2015 to 2020. Energy consumption was the most significant source of carbon emissions. The carbon emissions generated on construction land within each division accounted for 95% of the total carbon emissions/absorptions， reaching 99% for the entire study area. In terms of spatial distribution， except for the 14th Agricultural Division （characterized by vast land and sparse population and functioning as a net carbon absorber）， the other 12 divisions were all net carbon emitters， showing an obvious spatial differentiation pattern of "high in the north and east， low in the south and west". The high-value areas exhibited spatial consistency with the distribution of human-induced carbon emissions， expanding eastward from the 8th Agricultural Division in the Junggar Basin of northern Xinjiang. By 2020， the 8th， 13th， and 6th Agricultural Divisions （accounting for 26.52% of the land area） had emerged as high-density carbon emission zones， collectively bearing 78.16% of the net carbon emissions. 3） During the study period， both the high-carbon optimization zones and the low-carbon maintenance zones showed an expansion trend. In 2020， the divisions comprised one carbon sink functional zone， nine low-carbon maintenance zones， and three high-carbon optimization zones. The high-carbon optimization zones were distributed in a strip-shaped pattern， concentrated in the central and eastern areas， accounting for approximately 26.52% of the total area.
- terrestrial ecosystem carbon absorption,
- human-induced carbon emissions,
- carbon budget,
- carbon balance zoning,
- spatio-temporal evolution

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References(41)

References

[1]	ZOU Y，LI J J，WANG S P. Peak prediction and emission reduction potential analysis of industrial carbon emissions in the western region［J］. Environmental Engineering，2024，42（8）：1- 8. 邹艳，李佳佳，王淑平. 西部地区工业碳排放达峰预测与减排潜力分析［J］. 环境工程，2024，42（8）：1- 8.
[2]	DU M B，ZHANG X L，XIA L，et al. The China Carbon Watch（CCW）system：a rapid accounting of household carbon emissions in China at the provincial level［J］. Renewable and Sustainable Energy Reviews，2022，115：111825.
[3]	DENG W P，ZHU W B，ZHANG Z，et al. Spatio-temporal variation of land use carbon budget and carbon compensation zoning at county level in Henan Province［J］. Environmental Science，2025，46（3）：1- 24. 邓文萍，朱文博，张哲，等. 河南省县域土地利用碳收支时空格局与碳补偿分区［J］. 环境科学，2025，46（3）：1- 24.
[4]	LI L，XIA Q Y，DONG J，et al. County-level carbon ecological compensation of Wuhan urban agglomeration under carbon neutrality target：Based on the difference in land use carbon budget［J］. Acta Ecologica Sinica，2023，43（7）：2627- 2639. 李璐，夏秋月，董捷，等. 碳中和目标下武汉城市圈县域空间横向碳生态补偿研究：基于土地利用碳收支差异［J］. 生态学报，2023，43（7）：2627- 2639.
[5]	SHAN Y L，HUANG Q，GUAN D B，et al. China CO₂ emission accounts 2016—2017［J］. Scientific Data，2020，7（1）：54.
[6]	LYU G W，ZHOU J C，CAI Y M，et al. Carbon accounting for land use，land-use change and forestry in Guangdong Province［J］. Acta Geographica Sinica，2023，78（3）：640- 657. 吕国玮，周建春，蔡玉梅，等. 广东省土地利用及其变化和林业碳核算研究［J］. 地理学报，2023，78（3）：640- 657.
[7]	YANG B，QIN G P，WU Q. Analysis of provincial CO₂ emission accounting in China under the carbon peaking and carbon neutrality goals［J］. Environmental Science，2022，43（12）：5840- 5849. 杨柏，秦广鹏，邬钦.“双碳”目标下中国省域碳排放核算分析［J］. 环境科学，2022，43（12）：5840- 5849.
[8]	TENG F，WANG Y J，WANG M J，et al. Spatiotemporal coupling relationship between urban spatial morphology and carbon budget in Yangtze River Delta urban agglomeration［J］. Acta Ecologica Sinica，2022，42（23）：9636- 9650. 滕菲，王艳军，王孟杰，等. 长三角城市群城市空间形态与碳收支时空耦合关系［J］. 生态学报，2022，42（23）：9636- 9650.
[9]	DENG L Y，LI H B. Spatial and temporal evolution of land use carbon emissions and analysis of driving factors in Wuhan metropolitan area［J］. Research of Soil and Water Conservation，2024，31（1）：345- 353. 邓灵颖，李红波. 武汉城市圈土地利用碳排放时空演变及驱动因素［J］. 水土保持研究，2024，31（1）：345- 353.
[10]	QI H B，SHEN X Y，LONG F，et al. Study of spatial-temporal pattern and influencing factors of county carbon emissions in Zhejiang Province［J］. Resources and Environment in the Yangtze Basin，2023，32（4）：821- 831. 祁慧博，沈欣懿，龙飞，等. 浙江省县域碳排放的时空格局与影响因素研究［J］. 长江流域资源与环境，2023，32（4）：821- 831.
[11]	REN H Y，DU R L，XIE G L，et al. Research status of influencing factors and identification methods of carbon emissions in China［J］. Environmental Engineering，2023，41（10）：195- 203. 任宏洋，杜若岚，谢贵林，等. 中国碳排放影响因素及识别方法研究现状［J］. 环境工程，2023，41（10）：195- 203.
[12]	ZHAO Q，ZHOU Y L，FANG Q S，et al. Spatial-temporal evolution of carbon emissions and its influencing factors in China central region［J］. Acta Scientiae Circumstantiae，2023，43（2）：354- 364. 赵强，周月凌，方潜生，等. 中部地区碳排放时空演变及其影响因素分析［J］. 环境科学学报，2023，43（2）：354- 364.
[13]	WEI Y R，CHEN S L. Spatial correlation and carbon balance zoning of land use carbon emissions in Fujian Province［J］. Acta Ecologica Sinica，2021，41（14）：5814- 5824. 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.
[14]	WEI M，CAI Z，XU J G，et al. Characteristics and mechanisms of carbon emissions in urban agglomerations:A spatiotemporal analysis of Chinese major regions［J］. Acta Scientiae Circumstantiae，2024，44（6）：414- 424. 魏猛，蔡智，徐建刚，等. 中国城市群碳排放特征与影响机制分析［J］. 环境科学学报，2024，44（6）：414- 424.
[15]	WANG K Y，WU M，SUN Y P，et al. Resource abundance，industrial structure，and regional carbon emissions efficiency in China［J］. Resources Policy，2019，60：203- 214.
[16]	DING Y H，ZHANG S J. Analysis of industrial collaborative carbon reduction and carbon reduction potential in Hebei Province［J］. Environmental Science& Technology，2024，47（1）：202- 213. 丁颖辉，张双金. 河北省产业协同降碳与降碳潜力分析［J］. 环境科学与技术，2024，47（1）：202- 213.
[17]	TAN J，LIU Q，TANG X P，et al. Spatial and temporal evolution of carbon emissions from land use and its influencing factors based on LMDI model：A case study of the Dongting Lake area［J］. Areal Research and Development，2024，43（1）：160- 166. 谭洁，刘琴，唐晓佩，等. 基于LMDI模型的土地利用碳排放时空差异及影响因素研究：以洞庭湖区为例［J］. 地域研究与开发，2024，43（1）：160- 166.
[18]	XU L F，CHEN W L，ZHU H M，et al. Analysis of carbon emission characteristics and influencing factors of different land use types in Hunan Province［J］. Environmental Science，2024，45（9）：1- 19. 许灵凤，陈皖玲，朱红梅，等. 湖南省不同土地利用类型碳排放特征与影响因素分析［J］. 环境科学，2024，45（9）：1- 19.
[19]	DU J L，PENG Z Y，LU X H. The spatial and temporal change of land use carbon emission in Suzhou over the past 20 years［J］. Journal of Suzhou University of Science and Technology（Natural Science Edition），2023，40（4）：60- 68. 杜景龙，彭梓壹，卢学鹤. 近20年苏州市土地利用碳排放时空变化研究［J］. 苏州科技大学学报（自然科学版），2023，40（4）：60- 68.
[20]	FANG J Y，GUO Z D，PU S L，et al. Estimation of land vegetation carbon sequestration in China from 1981 to 2000［J］. Scientia Sinica（Terrae），2007，37（6）：804- 812. 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.
[21]	DUAN X N，WANG X K，LU F，et al. Carbon sequestration and its potential by wetland ecosystems in China［J］. Acta Ecologica Sinica，2008，28（2）：463- 469. 段晓男，王效科，逯非，等. 中国湿地生态系统固碳现状和潜力［J］. 生态学报，2008，28（2）：463- 469.
[22]	WANG Z Q，QIN M L，TANG S B，et al. Spatio-temporal variation of land use carbon budget and carbon compensation zoning in Beibu Gulf urban agglomeration area［J］. Bulletin of Soil and Water Conservation，2022，42（5）：348- 359. 王政强，覃盟琳，唐世斌，等. 北部湾城市群土地利用碳收支时空分异及碳补偿分区［J］. 水土保持通报，2022，42（5）：348- 359.
[23]	CHENG F Y，SHI P J，ZHANG W P，et al. Temporal and spatial differentiation of carbon budget and carbon compensation zoning in the county of Lanzhou-Xining urban agglomeration from the perspective of main functional area：Based on the DMSP/OLS and NPP/VIIRS nighttime light data［J］. Acta Scientiae Circumstantiae，2023，43（11）：398- 410. 程番苑，石培基，张韦萍，等. 主体功能区视角下兰西城市群碳收支时空分异及碳补偿分区：基于DMSP/OLS和NPP/VIIRS夜间灯光数据［J］. 环境科学学报，2023，43（11）：398- 410.
[24]	FEI T T，DING X T，QUE X，et al. Spatiotemporal heterogeneity analysis of energy carbon emission efficiency in China based on SBM-DEA and STWR model［J］. Environmental Engineering，2024，42（10）：188- 200. 费婷婷，丁晓婷，阙翔，等. 基于SBM-DEA与STWR模型的中国能源碳排放效率时空异质性分析［J］. 环境工程，2024，42（10）：188- 200.
[25]	LI H，YANG S，CHEN J H，et al. Empirical analysis on carbon emission driving factors and trend prediction of energy consumption in Hunan［J］. Environmental Engineering，2018，36（2）：152- 157. 李欢，杨珊，陈建宏，等. 湖南省能源消费碳排放驱动因素及趋势预测实证分析［J］. 环境工程，2018，36（2）：152- 157.
[26]	QIN Z H，WANG R F，DING Z G. Impact of environmental pressure from urban development on the level of carbon emissions in urban areas［J］. Environmental Science，2024，45（5）：1- 15. 覃朝晖，王镕菲，丁志国. 城市发展环境压力对碳排放水平的影响效应［J］. 环境科学，2024，45（5）：1- 15.
[27]	LONG Z，SUN Y Q，LANG L X，et al. Spatiotemporal patterns and characteristics of carbon emissions in the Loess Plateau：A case study of Qingcheng County［J］. Arid Zone Research，2022，39（5）：1632- 1640. 龙志，孙颖琦，郎丽霞，等. 黄土高原典型县域碳排放特征与时空格局：以庆城县为例［J］. 干旱区研究，2022，39（5）：1632- 1640.
[28]	XIA S Y，YANG Y. Spatio-temporal differentiation of carbon budget and carbon compensation zoning in Beijing-Tianjin-Hebei urban agglomeration based on the plan for major function-oriented zones［J］. Acta Geographica Sinica，2022，77（3）：679- 696. 夏四友，杨宇. 基于主体功能区的京津冀城市群碳收支时空分异与碳补偿分区［J］. 地理学报，2022，77（3）：679- 696.
[29]	JIAN Z B，LUO H，SHAN N N. A study on the spatial and temporal evolution and carbon effects of production-living-ecological space in Xinjiang under carbon peak and carbon neutrality goals［J］. Arid Zone Research，2024，41（7）：1238- 1248. 菅政博，罗浩，单娜娜.“双碳”目标下新疆“三生”空间时空演变特征及碳效应［J］. 干旱区研究，2024，41（7）：1238- 1248.
[30]	ZHANG X，LIU L Y，CHEN X D，et al. GLC_FCS30：Global land cover product with fine classification system at 30 m using time series Landsat imagery［J］. Earth System Science Data，2021，13（6）：2753- 2776.
[31]	ZHANG R Q，LI P H，XU L P. Effects of urbanization on carbon emission from land use in Xinjiang and their coupling relationship［J］. Acta Ecologica Sinica，2022，42（13）：5226- 5242. 张茹倩，李鹏辉，徐丽萍. 城镇化对新疆土地利用碳排放的影响及其耦合关系［J］. 生态学报，2022，42（13）：5226- 5242.
[32]	WANG Y J，ZHAI C X，LIU C Y，et al. Analysis of spatiotemporal differences and influencing factors of land use carbon emissions in Ningxia［J］. Environmental Science，2024，45（9）：5049- 5059. 王亚娟，翟晨曦，刘彩玉，等. 宁夏土地利用碳排放时空差异及影响因素分析［J］. 环境科学，2024，45（9）：5049- 5059.
[33]	LI C Q，SU M L，YANG X J L. Carbon sink resource estimation and carbon sink industry development potential in Inner Mongolia［J］. Journal of Arid Land Resources and Environment，2012，26（5）：162- 168. 李长青，苏美玲，杨新吉勒图. 内蒙古碳汇资源估算与碳汇产业发展潜力分析［J］. 干旱区资源与环境，2012，26（5）：162- 168.
[34]	CAMPOS C P D，MUYLAERT M S，ROSA L P. Historical CO₂ emission and concentrations due to land use change of croplands and pastures by country［J］. Science of the Total Environment，2005，346：149- 155.
[35]	SU Y X，CHEN X Z，YE Y Y，et al. The characteristics and mechanisms of carbon emissions from energy consumption in China using DMSP/OLS night light imageries［J］. Acta Geographica Sinica，2013，68（11）：1513- 1526. 苏泳娴，陈修治，叶玉瑶，等. 基于夜间灯光数据的中国能源消费碳排放特征及机理［J］. 地理学报，2013，68（11）：1513- 1526.
[36]	EGGLESTON H S，BUENDIA L，MIWA K，et al. 2006 IPCC guidelines for national greenhouse gas inventories［M］. Kanagawa：Institute for Global Environmental Strategies，2006.
[37]	SONG Y C，YOU W H，WANG X R，et al. Urban ecology［M］. Shanghai：East China Normal University Press，2000. 宋永昌，由文辉，王祥荣，等. 城市生态学［M］. 上海：华东师范大学出版社，2000.
[38]	ZHAO R Q，ZHANG S，HUANG X J，et al. Spatial variation of carbon budget and carbon balance zoning of Central Plains Economic Region at county-level［J］. Acta Geographica Sinica，2014，69（10）：1425- 1437. 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.
[39]	KONG F B，CAO L D，XU C Y. Measurement of carbon budget and type partition of carbon comprehensive compensation in the Qiantang River Basin［J］. Economic Geography，2023，43（3）：150- 161. 孔凡斌，曹露丹，徐彩瑶. 县域碳收支核算与碳综合补偿类型分区：以钱塘江流域为例［J］. 经济地理，2023，43（3）：150- 161.
[40]	ZHAO D，LIU X J，JIN X B. Spatiotemporal dynamics of county-level carbon budgets and carbon-balanced zoning in the Yangtze River Delta［J］. Modern Urban Research，2023，38（6）：23- 30. 赵栋，刘笑杰，金晓斌. 长三角地区县域碳收支时空动态及碳平衡分区［J］. 现代城市研究，2023，38（6）：23- 30.
[41]	BAO J Y，LI X L，HU Q W，et al. Spatiotemporal characteristics of carbon emissions from energy consumption and the approach to energy structure adjustment in Xinjiang［J］. Arid Zone Research，2024，41（3）：490- 498. 包佳玉，李祥龙，胡启文，等. 新疆能源消费碳排放时空特征及能源结构调整路径探讨［J］. 干旱区研究，2024，41（3）：490- 498.