Abstract
The construction of low-carbon cities is an essential component of sustainable urban development. However, there is a lack of a comprehensive low-carbon city design and evaluation system that incorporates “carbon sink accounting—remote sensing monitoring—numerical modelling—design and application” in an all-around linkage, multi-scale coupling, and localized effects. This paper utilizes the Citespace tool to evaluate low-carbon city design applications by analyzing literature in the Web of Science (WOS) core collection database. The results reveal that low-carbon cities undergo four stages: “measurement—implementation—regulation – management.” The research themes are divided into three core clustering evolutionary pathways: “extension of carbon sink functions,” “spatialisation of carbon sink systems,” and “full-cycle, full-dimensional decarbonisation.” Applications include “Utility studies of multi-scale carbon sink assessments,” “Correlation analysis of carbon sink influencing factors,” “Predictive characterisation of multiple planning scenarios,” and “Spatial planning applications of urban sink enhancement.” Future low-carbon city construction should incorporate intelligent algorithm technology in real-time to provide a strong design basis for multi-scale urban spatial design with the features of “high-precision accounting, full-cycle assessment and low-energy concept.”
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References
Ahmed S, Sarker SK, Kamruzzaman M et al (2023) How biotic, abiotic, and functional variables drive belowground soil carbon stocks along stress gradient in the Sundarbans Mangrove Forest? J Environmental Management 337:117772. https://doi.org/10.1016/j.jenvman.2023.117772
Amini Parsa V, Salehi E, Yavari AR, van Bodegom PM (2019) Evaluating the potential contribution of urban ecosystem service to climate change mitigation. Urban Ecosyst 22:989–1006. https://doi.org/10.1007/s11252-019-00870-w
An K, Wang C, Cai W (2023) Low-carbon technology diffusion and economic growth of China: an evolutionary general equilibrium framework. Struct Chang Econ Dyn 65:253–263. https://doi.org/10.1016/j.strueco.2023.03.001
Anderegg W, Trugman A, Badgley G et al (2020) Climate-driven risks to the climate mitigation potential of forests. Science 368:eaaz7005. https://doi.org/10.1126/science.aaz7005
Araujo ECG, Sanquetta CR, Dalla Corte AP et al (2023) Global review and state-of-the-art of biomass and carbon stock in the Amazon. J Environmental Management 331:117251. https://doi.org/10.1016/j.jenvman.2023.117251
Azman MS, Sharma S, Hamzah ML, Zakaria RM, Palaniveloo K, MacKenzie RA (2023) Total ecosystem blue carbon stocks and sequestration potential along a naturally regenerated mangrove forest chronosequence. For Ecol Manag 527:120611. https://doi.org/10.1016/j.foreco.2022.120611
Bagheri M, Delbari SH, Pakzadmanesh M, Kennedy CA (2019) City-integrated renewable energy design for low-carbon and climate-resilient communities. Appl Energy 239:1212–1225. https://doi.org/10.1016/j.apenergy.2019.02.031
Bai DB, Hu J, Irfan M, Hu MJ (2023) Unleashing the impact of ecological civilization pilot policies on green technology innovation: Evidence from a novel SC-DID model. Energy Econ. https://doi.org/10.1016/j.eneco.2023.106813
Bailey R (1994) A compatible volume-taper model based on the Schumacher and Hall generalized constant form factor volume equation. For Sci 40(2):303–313.https://doi.org/10.1093/forestscience/40.2
Baines O, Wilkes P, Disney M (2020) Quantifying urban forest structure with open-access remote sensing data sets. Urban Forestry & Urban Greening 50:126653. https://doi.org/10.1016/j.ufug.2020.126653
Bian R, Zhang T, Zhao F et al (2022) Greenhouse gas emissions from waste sectors in China during 2006–2019: implications for carbon mitigation. Process Saf Environ Prot 161:488–497. https://doi.org/10.1016/j.psep.2022.03.050
Black K, Lanigan G, Ward M et al (2023) Biomass carbon stocks and stock changes in managed hedgerows. Sci Total Environment 871:162073. https://doi.org/10.1016/j.scitotenv.2023.162073
Brand C, Tran M, Anable J (2012) The UK transport carbon model: an integrated life cycle approach to explore low carbon futures. Energy Policy 41:107–124. https://doi.org/10.1016/j.enpol.2010.08.019
Chao M, Maimai W, Hanzhang L et al (2023) A spatio-temporal neural network learning system for city-scale carbon storage capacity estimating. IEEE Access 11:31304–31322. https://doi.org/10.1109/ACCESS.2023.3260641
Chen H, Chen W (2019) Carbon mitigation of China’s building sector on city-level: pathway and policy implications by a low-carbon province case study. J Clean Prod 224:207–217. https://doi.org/10.1016/j.jclepro.2018.12.022
Chen P, Dagestani AA (2023a) Greenwashing behavior and firm value – from the perspective of board characteristics. Corp Soc Responsib Environ Manag n/a: https://doi.org/10.1002/csr.2488
Chen P, Dagestani AA (2023b) Urban planning policy and clean energy development Harmony- evidence from smart city pilot policy in China. Renew Energy 210:251–257. https://doi.org/10.1016/j.renene.2023.04.063
Chen X, Wang X, Kumar V, Kumar N (2016) Low carbon warehouse management under cap-and-trade policy. J Clean Prod 139:894–904. https://doi.org/10.1016/j.jclepro.2016.08.089
Chen Y, Lu H, Li J, Xia J (2020) Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China. Stoch Environ Res Risk Assess 34:1197–1215. https://doi.org/10.1007/s00477-020-01819-8
Chen B, Xu C, Wu Y et al (2022) Spatiotemporal carbon emissions across the spectrum of Chinese cities: insights from socioeconomic characteristics and ecological capacity. J Environmental Management. 306:114510. https://doi.org/10.1016/j.jenvman.2022.114510
Chen Z, Zhang Y, Wang H et al (2022) Can green credit policy promote low-carbon technology innovation? J Cleaner Product 359:132061. https://doi.org/10.1016/j.jclepro.2022.132061
Chen L, Tan L, Zhao M et al (2023a) Karst carbon sink processes and effects: a review. Quatern Int 652:63–73. https://doi.org/10.1016/j.quaint.2023.02.009
Chen P, Dagestani AA, Kim S (2023b) Corporate social responsibility and green exploratory innovation - the moderating role of three environmental regulations. Technol Anal Strateg Manag 0:1–13. https://doi.org/10.1080/09537325.2023.2196585
Chen C, Li W-B, Zheng L, Guan C (2023c) Exploring the impacts of spatial regulation on environmentally sustainable development: A new perspective of quasi–experimental evaluation based on the National Key Ecological Function Zones in China. Sustain Dev. https://doi.org/10.1002/sd.2667
Cheng J, Yi J, Dai S, Xiong Y (2019) Can low-carbon city construction facilitate green growth? Evidence from China’s pilot low-carbon city initiative. J Clean Prod 231:1158–1170. https://doi.org/10.1016/j.jclepro.2019.05.327
Cheng S, Fan Q, Dagestani AA (2023) Opening the black box between strategic vision on digitalization and SMEs digital transformation: the mediating role of resource orchestration. Kybernetes Ahead-of-Print. https://doi.org/10.1108/K-01-2023-0073
Cheng Z, Wang L, Zhang Y (2022) Does smart city policy promote urban green and low-carbon development? J Cleaner Product 379:134780. https://doi.org/10.1016/j.jclepro.2022.134780
Clegg S, Mancarella P (2019) Integrated electricity-heat-gas modelling and assessment, with applications to the Great Britain system. Part II: Transmission network analysis and low carbon technology and resilience case studies. Energy 184:191–203. https://doi.org/10.1016/j.energy.2018.02.078
Coleman K, Jenkinson DS, Crocker GJ et al (1997) Simulating trends in soil organic carbon in long-term experiments using RothC-26.3. Geoderma 81:29–44. https://doi.org/10.1016/S0016-7061(97)00079-7
Cui Y, Khan SU, Sauer J, Zhao M (2022) Exploring the spatiotemporal heterogeneity and influencing factors of agricultural carbon footprint and carbon footprint intensity: embodying carbon sink effect. Sci Total Environsment 846:157507. https://doi.org/10.1016/j.scitotenv.2022.157507
Dagestani AA (2022) An analysis of the impacts of COVID-19 and freight cost on trade of the economic belt and the maritime silk road
Dagestani AA, Qing L, Houran MA (2022) What remains unsolved in Sub-African environmental exposure information disclosure: a review. J Risk Financial Management 15:1–11
Dai J, Ouyang Y, Hou J, Cai L (2023) Long-time series assessment of the sustainable development of Xiamen City in China based on ecological footprint calculations. Ecological Indicators 148:110130. https://doi.org/10.1016/j.ecolind.2023.110130
Daigneault A, Baker JS, Guo J et al (2022) How the future of the global forest sink depends on timber demand, forest management, and carbon policies. Global Environmental Change 76:102582. https://doi.org/10.1016/j.gloenvcha.2022.102582
Dashtbozorgi F, Hedayatiaghmashhadi A, Dashtbozorgi A et al (2023) Ecosystem services valuation using InVEST modeling: case from southern Iranian mangrove forests. Regional Studies Marine Sci 60:102813. https://doi.org/10.1016/j.rsma.2023.102813
Dayalu A, Munger JW, Wofsy SC et al (2018) Assessing biotic contributions to CO2 fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009. Biogeosciences 15:6713–6729. https://doi.org/10.5194/bg-15-6713-2018
De Marco A, Screpanti A, Attorre F et al (2013) Assessing ozone and nitrogen impact on net primary productivity with a Generalised non-Linear Model. Environ Pollut 172:250–263. https://doi.org/10.1016/j.envpol.2012.08.015
Deakin M, Reid A (2018) Smart cities: Under-gridding the sustainability of city-districts as energy efficient-low carbon zones. J Clean Prod 173:39–48. https://doi.org/10.1016/j.jclepro.2016.12.054
Ding J, Liu B, Shao X (2022) Spatial effects of industrial synergistic agglomeration and regional green development efficiency: evidence from China. Energy Economics 112:106156. https://doi.org/10.1016/j.eneco.2022.106156
Dixon KR, Luxmoore RJ, Begovich CL (1978) CERES — a model of forest stand biomass dynamics for predicting trace contaminant, nutrient, and water effects. I Model Descript Ecol Modelling 5:17–38. https://doi.org/10.1016/0304-3800(78)90015-7
Dou X, Deng Z, Sun T, et al (2021) Global and local carbon footprints of city of Hong Kong and Macao from 2000 to 2015. Resources, Conservation and Recycling 164:105167 https://doi.org/10.1016/j.resconrec.2020.105167
Du Y, Zhou G, Guo X, Cao G (2019) Spatial distribution of grassland soil organic carbon and potential carbon storage on the Qinghai Plateau. Grassland Sci 65:141–146. https://doi.org/10.1111/grs.12229
Dutca I, Mcroberts R, Næsset E, Blujdea V (2022) Corrigendum to “Accommodating heteroscedasticity in allometric biomass models” [For. Ecol. Manage. 505 (2022) 119865]. Forest Ecology and Management 509:120100https://doi.org/10.1016/j.foreco.2022.120100
Duveiller G, Hooker J, Cescatti A (2018) The mark of vegetation change on Earth’s surface energy balance. Nat Commun 9:679. https://doi.org/10.1038/s41467-017-02810-8
Ehrnschwender D, Siddiki S, Carley S, Nicholson-Crotty S (2023) Exploring factors shaping transportation electrification in American cities. Renew Sustain Energy Transition 3:100054. https://doi.org/10.1016/j.rset.2023.100054
Ercan T, Onat NC, Keya N et al (2022) Autonomous electric vehicles can reduce carbon emissions and air pollution in cities. Transport Res Part D: Transport and Environment 112:103472. https://doi.org/10.1016/j.trd.2022.103472
Fan L, Wang J, Han D et al (2023) Research on promoting carbon sequestration of urban green space distribution characteristics and planting design models in Xi’an. Sustainability 15:572. https://doi.org/10.3390/su15010572
Fang C, Wang S, Li G (2015) Changing urban forms and carbon dioxide emissions in China: a case study of 30 provincial capital cities. Appl Energy 158:519–531. https://doi.org/10.1016/j.apenergy.2015.08.095
Fu Y, Lu X, Zhao Y et al (2013) Assessment impacts of weather and land use/land cover (LULC) change on urban vegetation net primary productivity (NPP): a case study in Guangzhou, China. Remote Sensing 5:4125–4144. https://doi.org/10.3390/rs5084125
Ge J, Zhang Z, Lin B (2023) Towards carbon neutrality: how much do forest carbon sinks cost in China? Environmental Impact Ass Rev 98:106949. https://doi.org/10.1016/j.eiar.2022.106949
Grinand C, Maire GL, Vieilledent G et al (2017) Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing. Int J Appl Earth Obs Geoinf 54:1–14. https://doi.org/10.1016/j.jag.2016.09.002
Guo H, Li S, Wong F-L et al (2021a) Drivers of carbon flux in drip irrigation maize fields in northwest China. Carbon Balance Manage 16:12. https://doi.org/10.1186/s13021-021-00176-5
Guo L, Liu R, Shoaib M et al (2021) Impacts of landscape change on net primary productivity by integrating remote sensing data and ecosystem model in a rapidly urbanizing region in China. J Cleaner Product 325:129314. https://doi.org/10.1016/j.jclepro.2021.129314
Guo X-D, Zhu L, Fan Y, Xie B-C (2011) Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA. Energy Policy 39:2352–2360. https://doi.org/10.1016/j.enpol.2011.01.055
Guo Y, Luo L, Liu T et al (2024) A review of low-carbon technologies and projects for the global cement industry. J Environ Sci 136:682–697. https://doi.org/10.1016/j.jes.2023.01.021
Hartmann P, Marcos A, Barrutia JM (2023) Carbon tax salience counteracts price effects through moral licensing. Global Environmental Change 78:102635. https://doi.org/10.1016/j.gloenvcha.2023.102635
He C, Zhang J, Liu Z, Huang Q (2022) Characteristics and progress of land use/cover change research during 1990–2018. J Geogr Sci 32:537–559. https://doi.org/10.1007/s11442-022-1960-2
Hendrickson TP, Nikolic M, Rakas J (2016) Selecting climate change mitigation strategies in urban areas through life cycle perspectives. J Clean Prod 135:1129–1137. https://doi.org/10.1016/j.jclepro.2016.06.075
Hong W, Bao G, Du Y et al (2023) Spatiotemporal changes in supply–demand patterns of carbon sequestration services in an urban agglomeration under China’s rapid urbanization. Remote Sensing 15:811. https://doi.org/10.3390/rs15030811
Hou D, Huang J, Wang Y (2023) A comparison of approaches with different constraint handling techniques for energy-efficient building form optimization. Energy 127540. https://doi.org/10.1016/j.energy.2023.127540
Hu J (2023) Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy. J Environ Manage 337:117755. https://doi.org/10.1016/j.jenvman.2023.117755
Hu J, Zhang H, Irfan M (2023) How does digital infrastructure construction affect low-carbon development? A multidimensional interpretation of evidence from China. J Clean Prod 396:(10):136467. https://doi.org/10.1016/j.jclepro.2023.136467
Huang J, Lu XX, Sellers JM (2007) A global comparative analysis of urban form: applying spatial metrics and remote sensing. Landsc Urban Plan 82:184–197. https://doi.org/10.1016/j.landurbplan.2007.02.010
Huang J, Tan Q, Zhang T, Wang S (2023) Energy-water nexus in low-carbon electric power systems: a simulation-based inexact optimization model. J Environmental Management 338:117744. https://doi.org/10.1016/j.jenvman.2023.117744
Huang X, Xiao J, Wang X, Ma M (2021) Improving the global MODIS GPP model by optimizing parameters with FLUXNET data. Agricultural Forest Meteorol 300:108314. https://doi.org/10.1016/j.agrformet.2020.108314
Huynh T, Lee DJ, Lewis T, Applegate G (2023) Effects of site characteristics and stand management on biomass and carbon sequestration in spotted gum (Corymbia citriodora subsp. variegata) plantations. Forest Ecol Management 529:120725. https://doi.org/10.1016/j.foreco.2022.120725
Jia R, Li P, Chen C et al (2023) Shellfish-algal systems as important components of fisheries carbon sinks: their contribution and response to climate change. Environmental Res 224:115511. https://doi.org/10.1016/j.envres.2023.115511
Jim CY (2004) Green-space preservation and allocation for sustainable greening of compact cities. Cities 21:311–320. https://doi.org/10.1016/j.cities.2004.04.004
Kannan D, Solanki R, Kaul A, Jha PC (2022) Barrier analysis for carbon regulatory environmental policies implementation in manufacturing supply chains to achieve zero carbon. J Cleaner Production 358:131910. https://doi.org/10.1016/j.jclepro.2022.131910
Kouridis C, Vlachokostas C (2022) Towards decarbonizing road transport: environmental and social benefit of vehicle fleet electrification in urban areas of Greece. Renew Sustain Energy Rev 153:111775. https://doi.org/10.1016/j.rser.2021.111775
Li F, Zhou M, Qin Z (2019a) Generated land systems: recognition and prospects of land system science. Environ Rev 28:. https://doi.org/10.1139/er-2019-0045
Li H, Zhang H, Li Q et al (2021) Vegetation productivity dynamics in response to climate change and human activities under different topography and land cover in Northeast China. Remote Sensing 13:975. https://doi.org/10.3390/rs13050975
Li K, Shen S, Fan J-L et al (2022a) The role of carbon capture, utilization and storage in realizing China’s carbon neutrality: a source-sink matching analysis for existing coal-fired power plants. Resources, Conservation Recycling 178:106070. https://doi.org/10.1016/j.resconrec.2021.106070
Li L, Bai Y, Yang X et al (2022b) A low-carbon land use management framework based on urban carbon metabolism: a case of a typical coal resource-based city in China. Sustainability 14:13854. https://doi.org/10.3390/su142113854
Li L, Huang X, Yang H (2023) Scenario-based urban growth simulation by incorporating ecological-agricultural-urban suitability into a Future Land Use Simulation model. Cities 137:104334. https://doi.org/10.1016/j.cities.2023.104334
Li X, Xiong S, Li Z et al (2019b) Variation of global fossil-energy carbon footprints based on regional net primary productivity and the gravity model. J Clean Prod 213:225–241. https://doi.org/10.1016/j.jclepro.2018.12.044
Liang Y, Kleijn R, Tukker A, van der Voet E (2022) Material requirements for low-carbon energy technologies: a quantitative review. Renew Sustain Energy Rev 161:112334. https://doi.org/10.1016/j.rser.2022.112334
Liao L, Zhao C, Li X, Qin J (2021) Towards low carbon development: the role of forest city constructions in China. Ecological Indicators 131:108199. https://doi.org/10.1016/j.ecolind.2021.108199
Lin B, Bega F (2021) China’s Belt & Road Initiative coal power cooperation: transitioning toward low-carbon development. Energy Policy 156:112438. https://doi.org/10.1016/j.enpol.2021.112438
Lin Y, Anser MK, Peng MY-P, Irfan M (2023) Assessment of renewable energy, financial growth and in accomplishing targets of China’s cities carbon neutrality. Renew Energy 205:1082–1091. https://doi.org/10.1016/j.renene.2022.11.026
Liu M, Lo K (2021) Governing eco-cities in China: urban climate experimentation, international cooperation, and multilevel governance. Geoforum 121:12–22. https://doi.org/10.1016/j.geoforum.2021.02.017
Liu Y, Song Y, Arp HP (2012) Examination of the relationship between urban form and urban eco-efficiency in china. Habitat Int 36:171–177. https://doi.org/10.1016/j.habitatint.2011.08.001
Liu J, Li J, Qin K et al (2017) Changes in land-uses and ecosystem services under multi-scenarios simulation. Sci Total Environ 586:522–526. https://doi.org/10.1016/j.scitotenv.2017.02.005
Liu C, Liang Y, Zhao Y et al (2021) Simulation and analysis of the effects of land use and climate change on carbon dynamics in the Wuhan city circle area. Int J Environ Res Public Health 18:11617. https://doi.org/10.3390/ijerph182111617
Liu J, Zhang D, Wang J, Ding X, Mei C (2022) Multi-objective optimization and decision-making of green infrastructure layout considering carbon emission. https://www.semanticscholar.org/paper/Multi-Objective-Optimization-and-Decision-Making-of-Liu-Zhang/62d1a9df8c3377dfce535cc82b2dffa3f5df8bdb
Liu K, Meng C, Tan J, Zhang G (2023a) Do smart cities promote a green economy? Evidence from a quasi-experiment of 253 cities in China. Environmental Impact Ass Rev 99:107009. https://doi.org/10.1016/j.eiar.2022.107009
Liu Y, Xia C, Ou X et al (2023b) Quantitative structure and spatial pattern optimization of urban green space from the perspective of carbon balance: a case study in Beijing. China. Ecol Indicators 148:110034. https://doi.org/10.1016/j.ecolind.2023.110034
Liu Y, Xu L, Sun H et al (2023c) Optimization of carbon performance evaluation and its application to strategy decision for investment of green technology innovation. J Environmental Management 325:116593. https://doi.org/10.1016/j.jenvman.2022.116593
Liu Y, Xue S, Guo X et al (2023d) Towards the goal of zero-carbon building retrofitting with variant application degrees of low-carbon technologies: mitigation potential and cost-benefit analysis for a kindergarten in Beijing. J Cleaner Product 393:136316. https://doi.org/10.1016/j.jclepro.2023.136316
Liu BL, Ding CJ, Hu J, Su YQ, Qin C (2023e) Carbon trading and regional carbon productivity. J Clean Prod. https://doi.org/10.1016/j.jclepro.2023.138395
Liu XQ, Cifuentes-Faura J, Zhao S, Wang L (2023f) Government environmental attention and carbon emissions governance: Firm-level evidence from China. Econ Anal Policy 80:121–142. https://doi.org/10.1016/j.eap.2023.07.016
Liu X, Wang CA, Wu H, Yang C, Albitar K (2023g) The impact of the new energy demonstration city construction on energy consumption intensity: Exploring the sustainable potential of China’s firms. Energy 128716. https://doi.org/10.1016/j.energy.2023.128716
Ma G, Qin J, Zhang Y (2023a) Does the carbon emissions trading system reduce carbon emissions by promoting two-way FDI in developing countries? Evidence from Chinese listed companies and cities. Energy Economics 120:106581. https://doi.org/10.1016/j.eneco.2023.106581
Ma S, He L, Fang Y et al (2023b) Intensive land management through policy intervention and spatiotemporal optimization can achieve carbon neutrality in advance. J Cleaner Product 385:135635. https://doi.org/10.1016/j.jclepro.2022.135635
McLaughlin H, Littlefield AA, Menefee M et al (2023) Carbon capture utilization and storage in review: sociotechnical implications for a carbon reliant world. Renew Sustain Energy Rev 177:113215. https://doi.org/10.1016/j.rser.2023.113215
Menezes FM, Zheng X (2018) Regulatory incentives for a low-carbon electricity sector in China. J Clean Prod 195:919–931. https://doi.org/10.1016/j.jclepro.2018.05.256
Meng Z, Li W-B, Chen C, Guan C (2023) Carbon emission reduction effects of the digital economy: Mechanisms and evidence from 282 cities in China. Land 12(4):Article 4. https://doi.org/10.3390/land12040773
Michaletz ST, Cheng D, Kerkhoff AJ, Enquist BJ (2014) Convergence of terrestrial plant production across global climate gradients. Nature 512:39–43. https://doi.org/10.1038/nature13470
Mindali O, Raveh A, Salomon I (2004) Urban density and energy consumption: a new look at old statistics. Transport Res Part a: Policy Practice 38:143–162. https://doi.org/10.1016/j.tra.2003.10.004
Mishra G, Jangir A, Francaviglia R (2019) Modeling soil organic carbon dynamics under shifting cultivation and forests using Rothc model. Ecol Model 396:33–41. https://doi.org/10.1016/j.ecolmodel.2019.01.016
Moglia M, Nygaard CA, Dembek K, Dia H (2022) Air quality as a game-changer: pathways towards large-scale vehicle electrification in Australia. Transport Res Part D: Transport and Environment 109:103400. https://doi.org/10.1016/j.trd.2022.103400
Morpurgo J, Remme RP, Van Bodegom PM (2023) CUGIC: the consolidated urban green infrastructure classification for assessing ecosystem services and biodiversity. Landscape and Urban Planning 234:104726. https://doi.org/10.1016/j.landurbplan.2023.104726
Muñoz-Vallés S, Cambrollé J, Figueroa-Luque E et al (2013) An approach to the evaluation and management of natural carbon sinks: from plant species to urban green systems. Urban Forestry & Urban Greening 12:450–453. https://doi.org/10.1016/j.ufug.2013.06.007
Mustaffa NK, Kudus SA (2022) Challenges and way forward towards best practices of energy efficient building in Malaysia. Energy 259:124839. https://doi.org/10.1016/j.energy.2022.124839
Nowak DJ, Crane DE (2002) Carbon storage and sequestration by urban trees in the USA. Environ Pollut 116:381–389. https://doi.org/10.1016/S0269-7491(01)00214-7
Nowak D, Stevens JC, Sisinni SM, Luley CJ (2002) Effects of urban tree management and species selection on atmospheric carbon dioxide. J Arboriculture 28:113–122. https://doi.org/10.48044/jauf.2002.017
O’Ryan R, Nasirov S, Osorio H (2023) Assessment of the potential impacts of a carbon tax in Chile using dynamic CGE model. J Cleaner Production 403:136694. https://doi.org/10.1016/j.jclepro.2023.136694
Ovington JD (1962) Quantitative ecology and the woodland ecosystem concept. In: Cragg JB (ed) Advances in Ecological Research. Academic Press, pp 103–192
Pan A, Zhang W, Shi X, Dai L (2022) Climate policy and low-carbon innovation: evidence from low-carbon city pilots in China. Energy Economics 112:106129. https://doi.org/10.1016/j.eneco.2022.106129
Peng B, Zhao Y, Elahi E, Wan A (2023) Can third-party market cooperation solve the dilemma of emissions reduction? A case study of energy investment project conflict analysis in the context of carbon neutrality. Energy 264:126280. https://doi.org/10.1016/j.energy.2022.126280
Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Klooster SA (1993) Terrestrial ecosystem production: A process model based on global satellite and surface data. Glob Biogeochem Cycles 7(4):811–841
Qi Y, Yuan M, Bai T (2023) Where will corporate capital flow to? Revisiting the impact of China’s pilot carbon emission trading system on investment. J Environmental Management 336:117671. https://doi.org/10.1016/j.jenvman.2023.117671
Qiu S, Yu Q, Niu T et al (2022a) Restoration and renewal of ecological spatial network in mining cities for the purpose of enhancing carbon Sinks: the case of Xuzhou. China Ecoll Indicators 143:109313. https://doi.org/10.1016/j.ecolind.2022.109313
Qiu S, Yu Q, Niu T et al (2022b) Study on the landscape space of typical mining areas in Xuzhou City from 2000 to 2020 and optimization strategies for carbon sink enhancement. Remote Sensing 14:4185. https://doi.org/10.3390/rs14174185
Sadeghi M, Naghedi R, Behzadian K et al (2022) Customisation of green buildings assessment tools based on climatic zoning and experts judgement using K-means clustering and fuzzy AHP. Building and Environment 223:109473. https://doi.org/10.1016/j.buildenv.2022.109473
Schittko C, Onandia G, Bernard-Verdier M et al (2022) Biodiversity maintains soil multifunctionality and soil organic carbon in novel urban ecosystems. J Ecol 110:916–934. https://doi.org/10.1111/1365-2745.13852
Shang W-L, Lv Z (2023) Low carbon technology for carbon neutrality in sustainable cities: a survey. Sustain Cities and Soc 92:104489. https://doi.org/10.1016/j.scs.2023.104489
Shen B, Yang X, Xu Y et al (2023) Can carbon emission trading pilot policy drive industrial structure low-carbon restructuring: new evidence from China. Environ Sci Pollut Res 30:41553–41569. https://doi.org/10.1007/s11356-023-25169-4
Shi L, Xiang X, Zhu W, Gao L (2018) Standardization of the evaluation index system for low-carbon cities in China: a case study of Xiamen. Sustainability 10:3751. https://doi.org/10.3390/su10103751
Shrestha K, Shakya B, Adhikari B et al (2023) Ecosystem services valuation for conservation and development decisions: a review of valuation studies and tools in the Far Eastern Himalaya. Ecosystem Services 61:101526. https://doi.org/10.1016/j.ecoser.2023.101526
Shu DY, Deutz S, Winter BA et al (2023) The role of carbon capture and storage to achieve net-zero energy systems: trade-offs between economics and the environment. Renew Sustain Energy Rev 178:113246. https://doi.org/10.1016/j.rser.2023.113246
Simangunsong BCH, Sitanggang VJ, Manurung EGT et al (2017) Potential forest biomass resource as feedstock for bioenergy and its economic value in Indonesia. Forest Policy Econ 81:10–17. https://doi.org/10.1016/j.forpol.2017.03.022
Sohma A, Imada R, Nishikawa T, Shibuki H (2022) Modeling the life cycle of four types of phytoplankton and their bloom mechanisms in a benthic-pelagic coupled ecosystem. Ecological Modelling 467:109882. https://doi.org/10.1016/j.ecolmodel.2022.109882
Song M, Zhao X, Shang Y (2020) The impact of low-carbon city construction on ecological efficiency: empirical evidence from quasi-natural experiments. Res, Conservation and Recycling 157:104777. https://doi.org/10.1016/j.resconrec.2020.104777
Song T, Dian J, Chen H (2023) Can smart city construction improve carbon productivity? —a quasi-natural experiment based on China’s smart city pilot. Sustain Cities Soc 92:104478. https://doi.org/10.1016/j.scs.2023.104478
Strohbach MW, Arnold E, Haase D (2012) The carbon footprint of urban green space—a life cycle approach. Landsc Urban Plan 104:220–229. https://doi.org/10.1016/j.landurbplan.2011.10.013
Su H, Feng J, Axmacher JC, Sang W (2015) Asymmetric warming significantly affects net primary production, but not ecosystem carbon balances of forest and grassland ecosystems in northern China. Sci Rep 5:9115. https://doi.org/10.1038/srep09115
Sukhbaatar G, Chimednyam D, Baatarbileg N et al (2023) Allometric equations for the estimation of above- and below-ground biomass for Larix sibirica Ledeb. in Northern Mongolia. For Sci Technol 19:1–9. https://doi.org/10.1080/21580103.2023.2165173
Sun Q, Li B, Zhang T et al (2017) An improved Biome-BGC model for estimating net primary productivity of alpine meadow on the Qinghai-Tibet Plateau. Ecol Model 350:55–68. https://doi.org/10.1016/j.ecolmodel.2017.01.025
Sun Z, Li Z, Zhong J (2022b) Analysis of the impact of landscape patterns on urban heat islands: a case study of Chengdu, China. Int J Environ Res Public Health 19:13297. https://doi.org/10.3390/ijerph192013297
Sun X, Mi Z, Sudmant A et al (2022) Using crowdsourced data to estimate the carbon footprints of global cities. Advances in Applied Energy 8:100111. https://doi.org/10.1016/j.adapen.2022.100111
Suntana AS, Vogt KA, Turnblom EC, Upadhye R (2009) Bio-methanol potential in Indonesia: forest biomass as a source of bio-energy that reduces carbon emissions. Appl Energy 86:S215–S221. https://doi.org/10.1016/j.apenergy.2009.05.028
Takao Y (2020) Low-carbon leadership: Harnessing policy studies to analyse local mayors and renewable energy transitions in three Japanese cities. Energy Res & Soc Sci 69:101708. https://doi.org/10.1016/j.erss.2020.101708
Tan X, Tu T, Gu B, Zeng Y (2021) Scenario simulation of CO2 emissions from light-duty passenger vehicles under land use-transport planning: a case of Shenzhen International Low Carbon City. Sustain Cities and Soc 75:103266. https://doi.org/10.1016/j.scs.2021.103266
Tao M, Dagestani AA, Goh LT et al (2023) Do China’s anti-corruption efforts improve corporate productivity? A difference-in-difference exploration of Chinese listed enterprises. Socio-Economic Planning Sci 87:101594. https://doi.org/10.1016/j.seps.2023.101594
Ter-Mikaelian MT, Korzukhin MD (1997) Biomass equations for sixty-five North American tree species. For Ecol Manage 97:1–24. https://doi.org/10.1016/S0378-1127(97)00019-4
Turner DP, Ritts WD, Cohen WB et al (2006) Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sens Environ 102:282–292. https://doi.org/10.1016/j.rse.2006.02.017
van der Heijden J (2016) Experimental governance for low-carbon buildings and cities: value and limits of local action networks. Cities 53:1–7. https://doi.org/10.1016/j.cities.2015.12.008
Van Oijstaeijen W, e Silva MF, Back P et al (2023) The nature smart cities business model: a rapid decision-support and scenario analysis tool to reveal the multi-benefits of green infrastructure investments. Urban Forestry & Urban Greening 84:127923. https://doi.org/10.1016/j.ufug.2023.127923
Verkerk PJ, Lindner M, Zanchi G, Zudin S (2011) Assessing impacts of intensified biomass removal on deadwood in European forests. Ecol Ind 11:27–35. https://doi.org/10.1016/j.ecolind.2009.04.004
Wang J, Yang H (2023) Low carbon future of vehicle sharing, automation, and electrification: a review of modeling mobility behavior and demand. Renew Sustain Energy Rev 177:113212. https://doi.org/10.1016/j.rser.2023.113212
Wang Y, Deng L, Wu G et al (2018) Estimates of carbon storage in grassland ecosystems on the Loess Plateau. CATENA 164:23–31. https://doi.org/10.1016/j.catena.2018.01.007
Wang G, Han Q, de Vries B (2020) A geographic carbon emission estimating framework on the city scale. J Cleaner Product 244:118793. https://doi.org/10.1016/j.jclepro.2019.118793
Wang J, Huang Y, Teng Y et al (2021a) Can buildings sector achieve the carbon mitigation ambitious goal: case study for a low-carbon demonstration city in China? Environ Impact Ass Rev 90:106633. https://doi.org/10.1016/j.eiar.2021.106633
Wang M, Zhao J, Wang S et al (2021b) Detection and attribution of positive net ecosystem productivity extremes in China’s terrestrial ecosystems during 2000–2016. Ecological Indicators 132:108323. https://doi.org/10.1016/j.ecolind.2021.108323
Wang Y, Chang Q, Li X (2021c) Promoting sustainable carbon sequestration of plants in urban greenspace by planting design: a case study in parks of Beijing. Urban Forestry & Urban Greening 64:127291. https://doi.org/10.1016/j.ufug.2021.127291
Wang D, Fu J, Xie X et al (2022a) Spatiotemporal evolution of urban-agricultural-ecological space in China and its driving mechanism. J Cleaner Product 371:133684. https://doi.org/10.1016/j.jclepro.2022.133684
Wang W-M, Chen C-Y, Lu T-H, Liao C-M (2022b) Soil-dwelling species-based biomarker as a sensitivity-risk measure of terrestrial ecosystems response to microplastics: a dose–response modeling approach. Sci Total Environment 833:155178. https://doi.org/10.1016/j.scitotenv.2022.155178
Wang Y, Gan S, Li K, Chen Y (2022c) Planning for low-carbon energy-transportation system at metropolitan scale: a case study of Beijing. China Energy 246:123181. https://doi.org/10.1016/j.energy.2022.123181
Wang C, Liu X, Li H, Yang C (2023a) Analyzing the impact of low-carbon city pilot policy on enterprises’ labor demand: evidence from China. Energy Economics 106676. https://doi.org/10.1016/j.eneco.2023.106676
Wang S, Kobayashi K, Takanashi S et al (2023b) Estimating divergent forest carbon stocks and sinks via a knife set approach. J Environmental Management 330:117114. https://doi.org/10.1016/j.jenvman.2022.117114
Wang X, Wang G, Chen T et al (2023c) Low-carbon city and its future research trends: a bibliometric analysis and systematic review. Sustain Cities Soc 90:104381. https://doi.org/10.1016/j.scs.2022.104381
Wei W, Chen C (2022) Measuring the precise carbon sinks of green spaces in high-density urban areas based on UAV oblique photography: the case of Lujiazui CBD area, Shanghai. https://doi.org/10.47472/GBt6NztU
Wei X, Yang J, Luo P et al (2022) Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions. Ecological Indicators 138:108834. https://doi.org/10.1016/j.ecolind.2022.108834
Wu L, Wang S, Bai X et al (2020) Climate change weakens the positive effect of human activities on karst vegetation productivity restoration in southern China. Ecological Indicators 115:106392. https://doi.org/10.1016/j.ecolind.2020.106392
Wu Z, Zhou L, Wang Y (2022) Prediction of the spatial pattern of carbon emissions based on simulation of land use change under different scenarios. Land 11:1788. https://doi.org/10.3390/land11101788
Xia L, Zhang Y, Sun X, Li J (2017) Analyzing the spatial pattern of carbon metabolism and its response to change of urban form. Ecol Model 355:105–115. https://doi.org/10.1016/j.ecolmodel.2017.03.002
Xu Q, Dong Y, Yang R (2018) Influence of land urbanization on carbon sequestration of urban vegetation: a temporal cooperativity analysis in Guangzhou as an example. Sci Total Environ 635:26–34. https://doi.org/10.1016/j.scitotenv.2018.04.057
Xue D, Wang Z, Li Y et al (2022) Assessment of ecosystem services supply and demand (mis)matches for urban ecological management: a case study in the Zhengzhou–Kaifeng–Luoyang cities. Remote Sensing 14:1703. https://doi.org/10.3390/rs14071703
Yan Z, Sun Z, Shi R, Zhao M (2023) Smart city and green development: empirical evidence from the perspective of green technological innovation. Technol Forecasting Social Change 191:122507. https://doi.org/10.1016/j.techfore.2023.122507
Yang Y, Tong L, Yin S et al (2022) Status and challenges of applications and industry chain technologies of hydrogen in the context of carbon neutrality. J Cleaner Production 376:134347. https://doi.org/10.1016/j.jclepro.2022.134347
Yang J, Deng Z, Guo S, Chen Y (2023a) Development of bottom-up model to estimate dynamic carbon emission for city-scale buildings. Applied Energy. 331:120410. https://doi.org/10.1016/j.apenergy.2022.120410
Yang S, Zhou J, Hu Z et al (2023b) Site selection decision framework for biomass pyrolysis project based on a mixed method under probabilistic linguistic environment and low carbon perspective: a case study in China. Energy 272:127118. https://doi.org/10.1016/j.energy.2023.127118
Yao X, Chen W, Song C, Gao S (2022) Sustainability and efficiency of water-land-energy-food nexus based on emergy-ecological footprint and data envelopment analysis: Case of an important agriculture and ecological region in Northeast China. J Cleaner Product 379:134854. https://doi.org/10.1016/j.jclepro.2022.134854
Yin L, Tao M (2023) Balanced broad learning prediction model for carbon emissions of integrated energy systems considering distributed ground source heat pump heat storage systems and carbon capture & storage. Applied Energy 329:120269. https://doi.org/10.1016/j.apenergy.2022.120269
You G, Gan S, Guo H, Dagestani AA (2022) Public opinion spread and guidance strategy under COVID-19: a SIS model analysis. Axioms 11:296. https://doi.org/10.3390/axioms11060296
Yuan N, Wang E, Lv S et al (2023a) Degradation reduces greenhouse gas emissions while weakening ecosystem carbon sequestration of Moso bamboo forests. Sci Total Environ 877:162915. https://doi.org/10.1016/j.scitotenv.2023.162915
Yuan Y, Tang S, Zhang J, Guo W (2023b) Quantifying the relationship between urban blue-green landscape spatial pattern and carbon sequestration: a case study of Nanjing’s central city. Ecol Indic 154:110483. https://doi.org/10.1016/j.ecolind.2023.110483
Zeng J, Xu J, Li W et al (2022) Evaluating trade-off and synergies of ecosystem services values of a representative resources-based urban ecosystem: a coupled modeling framework applied to Panzhihua City. China Remote Sensing 14:5282. https://doi.org/10.3390/rs14205282
Zeng S, Jin G, Tan K, Liu X (2023) Can low-carbon city construction reduce carbon intensity?Empirical evidence from low-carbon city pilot policy in China. J Environmental Management 332:117363. https://doi.org/10.1016/j.jenvman.2023.117363
Zhang A, Deng R (2022) Spatial-temporal evolution and influencing factors of net carbon sink efficiency in Chinese cities under the background of carbon neutrality. J Cleaner Product 365:132547. https://doi.org/10.1016/j.jclepro.2022.132547
Zhang Y, Zheng H, Yang Z et al (2015) Analysis of urban energy consumption in carbon metabolic processes and its structural attributes: a case study for Beijing. J Clean Prod 103:884–897. https://doi.org/10.1016/j.jclepro.2014.07.075
Zhang D, Wang G, Huang F, Zhang K (2020) Load-transferring mechanism and calculation theory along engaged threads of high-strength bolts under axial tension. J Constructional Steel Res 172:106153. https://doi.org/10.1016/j.jcsr.2020.106153
Zhang N, Luo Z, Liu Y et al (2022a) Towards low-carbon cities through building-stock-level carbon emission analysis: a calculating and mapping method. Sustain Cities and Soc 78:103633. https://doi.org/10.1016/j.scs.2021.103633
Zhang Y, Meng W, Yun H et al (2022b) Is urban green space a carbon sink or source? - a case study of China based on LCA method. Environ Impact Assessment Rev 94:106766. https://doi.org/10.1016/j.eiar.2022.106766
Zhang D, Zhao Y, Wu J (2023a) Assessment of carbon balance attribution and carbon storage potential in China’s terrestrial ecosystem. Res, Conservation Recycling 189:106748. https://doi.org/10.1016/j.resconrec.2022.106748
Zhang S, Shinwari R, Zhao S, Dagestani AA (2023b) Energy transition, geopolitical risk, and natural resources extraction: a novel perspective of energy transition and resources extraction. Resources Policy 83:103608. https://doi.org/10.1016/j.resourpol.2023.103608
Zhao R, Huang X, Zhong T et al (2014) Carbon flow of urban system and its policy implications: the case of Nanjing. Renew Sustain Energy Rev 33:589–601. https://doi.org/10.1016/j.rser.2014.02.020
Zhao N, Wang K, Yuan Y (2023) Toward the carbon neutrality: forest carbon sinks and its spatial spillover effect in China. Ecol Economics 209:107837. https://doi.org/10.1016/j.ecolecon.2023.107837
Zheng Y, Zhang B (2023) The impact of carbon market on city greening: Quasi-experimental evidence from China. Resour Conserv Recycl 193:106960. https://doi.org/10.1016/j.resconrec.2023.106960
Zheng J, Sun N, Yan J et al (2023a) Decoupling between carbon source and sink induced by responses of daily stem growth to water availability in subtropical urban forests. Sci Total Environment 877:162802. https://doi.org/10.1016/j.scitotenv.2023.162802
Zheng Y, Tan R, Zhang B (2023b) The joint impact of the carbon market on carbon emissions, energy mix, and copollutants. Environ Res Lett 18(4):045007. https://doi.org/10.1088/1748-9326/acca98
Zhou Y (2022) Low-carbon transition in smart city with sustainable airport energy ecosystems and hydrogen-based renewable-grid-storage-flexibility. Energy Reviews 1:100001. https://doi.org/10.1016/j.enrev.2022.100001
Zhu X-J, Qu F-Y, Fan R-X et al (2022) Effects of ecosystem types on the spatial variations in annual gross primary productivity over terrestrial ecosystems of China. Sci Total Environment 833:155242. https://doi.org/10.1016/j.scitotenv.2022.155242
Zhuang Q, Shao Z, Gong J et al (2022) Modeling carbon storage in urban vegetation: progress, challenges, and opportunities. Int J Appl Earth Observation and Geoinformation 114:103058. https://doi.org/10.1016/j.jag.2022.103058
Zianis D, Muukkonen P, Mäkipää R, Mencuccini M (2005) Biomass and stem volume equations of tree species in Europe. Silva Fennica 4:. https://doi.org/10.14214/sf.sfm4
Zou C, Huang Y, Wu S, Hu S (2022) Does “low-carbon city” accelerate urban innovation? Evidence from China. Sustain Cities Soc 83:103954. https://doi.org/10.1016/j.scs.2022.103954
Zou C, Huang Y, Hu S, Huang Z (2023) Government participation in low-carbon technology transfer: an evolutionary game study. Technol Forecast Soc Change 188:122320. https://doi.org/10.1016/j.techfore.2023.122320
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Wang, G., Wan, Y., Ding, C.J. et al. A review of applied research on low-carbon urban design: based on scientific knowledge mapping. Environ Sci Pollut Res 30, 103513–103533 (2023). https://doi.org/10.1007/s11356-023-29490-w
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DOI: https://doi.org/10.1007/s11356-023-29490-w