Abstract
Changes in production-living-ecological spaces (PLES) profoundly affect the global carbon cycle, further challenging socio-ecological system sustainability. However, the impacts of PLES changes on carbon balance have been insufficiently discussed under a spatial heterogeneity perspective, resulting in an inadequate understanding of green development. This paper quantified the dynamics of PLES using the transfer matrix method and assessed the carbon balance computed by the ecological support coefficient of carbon emissions (ESC) in Shandong province from 2000 to 2020. The impacts of PLES changes on ESC were further investigated using a geographically weighted regression model. On this basis, carbon balance zones were delineated through cluster analysis. The results indicated that both production and ecological spaces decreased while the living space increased during 2000–2020. Carbon emissions increased and its sequestration decreased. As a result, ESC initially increased and then decreased, exhibiting apparent spatial clustering. The impact of different PLES transfer changes on ESC varies across county sites, with production→living space having the most significant impact on regional ESC and ecology→living space having the most negligible impact. Finally, six types of carbon balance zones were established to reduce carbon emissions. The findings are expected to support policy implementations for reducing carbon emissions and optimizing territorial development through low-carbon land use.
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Alam S A, Starr M, Clark B J F, 2013. Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: A regional carbon sequestration study. Journal of Arid Environments, 89: 6776.
Ali N S Y, See K F, 2023. Revisiting an environmental efficiency analysis of airlines: A parametric enhanced hyperbolic distance function. Journal of Cleaner Production, 394: 135982.
Arneth A, Sitch S, Pongratz J et al., 2017. Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed. Nature Geoscience, 10(2): 79–84.
Birdsey R, Pregitzer K, Lucier A, 2006. Forest carbon management in the United States: 1600–2100. Journal of Environmental Quality, 35(4): 1461–1469.
Chen H J, Yang Q Y, Peng L X et al., 2022. Spatiotemporal evolution characteristics and scenario simulation of production-living-ecological space at county level in Three Gorges Reservoir areas. Transactions of the Chinese Society of Agricultural Engineering, 38(13): 285–294. (in Chinese)
Dai E F, Huang Y, Wu Z et al., 2016. Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem. Journal of Geographical Sciences, 26(3): 297–312.
Deilami K, Kamruzzaman M, Hayes J F, 2016. Correlation or causality between land cover patterns and the urban heat island effect? Evidence from Brisbane, Australia. Remote Sensing, 8(9): 716.
Fang J, Yu G, Liu L et al., 2018. Climate change, human impacts, and carbon sequestration in China. Proceedings of the National Academy of Sciences, 115(16): 4015–4020.
Fotheringham A S, Brunsdon C, Charlton M, 2002. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: Wiley.
Fu C, Yu G, Fang H J, 2012. Effects of land use and cover change on terrestrial carbon balance of China. Progress in Geography, 31(1): 88–96. (in Chinese)
Geng S B, Zhu W R, Shi P L, 2019. A functional land use classification for ecological, production and living spaces in the Taihang Mountains. Journal of Resources and Ecology, 10(3): 246–255.
Ghosh S, Dinda S, Chatterjee N D et al., 2022. 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. Journal of Cleaner Production, 336: 130417.
Guan M, Zhang W X, Jiang H M et al., 2022. Cross-sensitivity evaluation of ecosystem services based on land use changes in Shandong province. Journal of China Agricultural University, 27(6): 192–203. (in Chinese)
Han J, Meng X, Zhou X et al., 2017. A long-term analysis of urbanization process, landscape change, and carbon sources and sinks: A case study in China’s Yangtze River Delta region. Journal of Cleaner Production, 141: 1040–1050.
Huang H, Yi M, 2023. Impacts and mechanisms of heterogeneous environmental regulations on carbon emissions: An empirical research based on DID method. Environmental Impact Assessment Review, 99: 107039.
Iqbal N, Abbasi K R, Shinwari R et al., 2021. Does exports diversification and environmental innovation achieve carbon neutrality target of OECD economies? Journal of Environment Management, 291: 112648.
Ji Z X, Liu C, Xu Y Q et al., 2023. Quantitative identification and the evolution characteristics of production-living-ecological space in the mountainous area: From the perspective of multifunctional land. Journal of Geographical Sciences, 33(4): 779–800
Keenan T F, Prentice I C, Canadell J G et al., 2016. Recent pause in the growth rate of atmospheric CO2 due to enhanced terrestrial carbon uptake. Nature Communications, 7(1): 13428.
Kong F B, Cao L D, Xu C Y, 2023. Measurement of carbon budget and type partition of carbon comprehensive compensation in the Qiantang River Basin. Economic Geography, 43(3): 150–161. (in Chinese)
Li M, Li Q, Wang Y et al., 2022. Spatial path and determinants of carbon transfer in the process of inter provincial industrial transfer in China. Environmental Impact Assessment Review, 95: 106810.
Liang Z, Xu B, 2017. The spatial distribution of the migration of carbon pressure gravity center of provinces in China. Economic Geography, 37(2): 179–186. (in Chinese)
Liao L, Long H L, Ma E P, 2023. Factors influencing the recessive morphology of farmland use under labor changes based on production input willingness and behavior of farmers. Journal of Geographical Sciences, 33(12): 2467–2488.
Lin T, Ge R B, Zhao Q J et al., 2016. Dynamic changes of a city’s carbon balance and its influencing factors: A case study in Xiamen, China. Carbon Management, 7(3/4): 149–160.
Liu C, Xu Y Q, Sun P L et al., 2017. Land use change and its driving forces toward mutual conversion in Zhang-jiakou city, a farming-pastoral ecotone in northern China. Environmental Monitoring and Assessment, 189: 505.
Liu J, Peng K, Zuo C et al., 2022. Spatiotemporal variation of land-use carbon emissions and its implications for low carbon and ecological civilization strategies: Evidence from Xiamen-Zhangzhou-Quanzhou metropolitan circle, China. Sustainable Cities and Society, 86: 104083.
Liu J M, Pei X T, Zhu W Y et al., 2023. Multi-scenario simulation of carbon budget balance in arid and semi-arid regions. Journal of Environmental Management, 346: 119016.
Matthews H D, Tokarska K B, Nicholls Z R J et al., 2020. Opportunities and challenges in using remaining carbon budgets to guide climate policy. Nature Geoscience, 13: 769–779.
Mohd Asaari, M S, Mishra P, Mertens S et al., 2018. Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform. ISPRS Journal of Photogrammetry and Remote Sensing, 138: 121–138.
Nguyen T T, Pham T A T, Trm H T X, 2020. Role of information and communication technologies and innovation in driving caron emissions and economic growth in selected G-20 countries. Journal of Environmental Management, 261: 110162.
Parizi E, Bagheri-Gavkosh M, Hosseini S M et al., 2021. Linkage of geographically weighted regression with spatial cluster analyses for regionalization of flood peak discharges drivers: Case studies across Iran. Journal of Cleaner Production, 310: 127526.
Qu F T, Lu N, Feng S Y, 2011. Effects of land use change on carbon emissions. China Population, Resources and Environment, 21(10): 76–83. (in Chinese)
Qu Y B, Jiang G H, Tian Y Y et al., 2019. Urban-rural construction land Transition (URCLT) in Shandong province of China: Features measurement and mechanism exploration. Habitat International, 86: 101–115.
Raybould B, Cheung W M, Connor C et al., 2020. An investigation into UK government policy and legislation to renewable energy and greenhouse gas reduction commitments. Clean Technologies and Environmental Police, 22: 371–387.
Rowland P I, Hagger V, Lovelock C E, 2023. Opportunities for blue carbon restoration projects in degraded agricultural land of the coastal zone in Queensland, Australia. Regional Environmental Change, 23: 42.
Saunders L J, Russell R A, Crabb D P, 2012. The coefficient of determination: What determines a useful R2 statistic? Investigative Ophthalmology & Visual Science, 53(11): 6830–6832.
Wang K K, Su X W, Wang S H, 2023. How does the energy-consuming rights trading policy affect China’s carbon emission intensity? Energy, 276: 127579.
Wang P F, Li H B, Huang Z B et al., 2024a. The impact of teleconnections of built-up land on unbalanced regional development and spatial carbon balance. Journal of Cleaner Production, 448: 141587.
Wang X D, Li K N, Jiang J B et al., 2024b. Detecting natural gas storage microleakage based on K-means clustering under constraint of Jeffries-Matusita distance criterion using mobile LiDAR data. Journal of Environmental Management, 370: 122539.
Wei Y R, Chen S L, 2021. Spatial correlation and carbon balance zoning of land use carbon emissions in Fujian province. Acta Ecologica Sinica, 41(14): 5814–5824. (in Chinese)
Xia S Y, Yang Y, 2022. 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. Acta Geographica Sinica, 77(3): 679–696. (in Chinese)
Yang L, Meng F, Ma C et al., 2022. Elucidating the spatial determinants of heavy metals pollution in different agricultural soils using geographically weighted regression. Science of The Total Environment, 853(9): 158628.
Yang Y Y, Bao W K, Li Y H et al., 2020. Land use transition and its eco-environmental effects in the Beijing-Tianjin-Hebei urban agglomeration: A production-living-ecological perspective. Land, 9(9): 285.
Yang Z H, Shen N N, Qu Y B et al., 2021. Association between rural land use transition and urban-rural integration development: From 2009 to 2018 based on county-level data in Shandong province, China. Land, 10(11): 1228.
Yang Z L, Liu R B, Pang J G et al., 2024. Spatio-temporal characteristics and driving factors of terrestrial carbon uptake: A case study of Chenzhou city, Hunan province. Resources and Environment in the Yangtze Basin, 33(5): 1066–1075. (in Chinese)
Ye X, Chuai X, 2022. Carbon sinks/sources’ spatiotemporal evolution in China and its response to built-up land expansion. Journal of Environmental Management, 321: 115863.
Zhang L, Chen H, Li S et al., 2023. How road network transformation may be associated with reduced carbon emissions: An exploratory analysis of 19 major Chinese cities. Sustainable Cities and Society, 95: 104575.
Zhao B Y, Sun L C, Lin Q, 2022. Optimization of China’s provincial carbon emission transfer structure under the dual constraints of economic development and emission reduction goals. Environmental Science and Pollution Research, 29: 50335–50351.
Zhao H X, Fan J D, Gu B J et al., 2024. Carbon sink response of terrestrial vegetation ecosystems in the Yangtze River Delta and its driving mechanism. Journal of Geographical Sciences, 34(1): 112–130.
Zheng H L, Li H, 2022. Spatial-temporal evolution characteristics of land use and habitat quality in Shandong province, China. Scientific Reports, 12: 15422.
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Foundation: National Natural Science Foundation of China, No.42101282; Natural Science Foundation of Hubei Province of China, No.2024AFB952; Open Fund of Shaanxi Key Laboratory of Land Consolidation, No.30010235-45012
Author: Liu Chao (1990–), Associate Professor, specialized in land resource evaluation and territorial spatial governance.
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Liu, C., Xu, Y. & Ji, Z. Impact and zoning of production-living-ecological spaces changes on carbon balance: Evidence from Shandong province, China. J. Geogr. Sci. 35, 293–314 (2025). https://doi.org/10.1007/s11442-025-2323-6
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DOI: https://doi.org/10.1007/s11442-025-2323-6


