Abstract
Understanding the impact mechanisms of territorial space composition and landscape pattern changes on carbon storage is critical to balance the development and utilization of territorial space and the conservation of the ecosystem. Thus, taking the Fujian Delta urban agglomeration (FDUA) of China as an example, this paper analyzed the impact of the transference in territorial space composition and the change in the coupling coordination degree (CCD) of landscape patterns on carbon storage based on the urban–rural gradient and grid scales. Results illustrated that the areas of agricultural, green, and blue spaces continued to decline, while the intensity of economic space expansion increased from 20.86 to 42.45% during 2000–2020. The grids with CCD change of landscape patterns declined mainly (accounting for 64.31%) in the first decade and rose mainly (accounting for 76.79%) in the second decade. The carbon loss of each under rural gradient was gradually serious. The percentage of grids with moderate and significant decrease in carbon storage escalated from 27.83 to 70.21%. Additionally, grids experiencing high carbon loss moved from the northeast coast to the southwest inland. The response of carbon storage change showed that the expansion of agricultural space occupied by economic space played a crucial role in the carbon loss in each urban–rural gradient. The carbon loss caused by supplementing agricultural space with green space increased from the urban to the field. Enhancing the CCD of landscape patterns can boost carbon storage, and the scattering expansion of economic space needs to be avoided. This paper provides a novel perspective to explore the spatial response of carbon storage change to the territorial space composition and landscape pattern evolution, which is important to optimize the territorial space pattern and improve the regional carbon sink capacity.
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Data availability
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- CCD:
-
Coupling coordination degree
- LPCI:
-
Landscape pattern comprehensive index
- CI:
-
Contribution index
References
Alam SA, Starr M, Clark BJF (2013) Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: a regional carbon sequestration study. J Arid Environ 89:67–76. https://doi.org/10.1016/j.jaridenv.2012.10.002
Benítez G, Ruelas-Monjardín LC, Von Thaden J et al (2023) Carbon storage in a peri-urban neotropical forest: assessing its potential and patterns of change over half a century. Urban for Urban Green 86:128009. https://doi.org/10.1016/j.ufug.2023.128009
Bastos JR, Capellesso ES, Vibrans AC et al (2023) Human impacts, habitat quantity and quality affect the dimensions of diversity and carbon stocks in subtropical forests: a landscape-based approach. J Nat Conserv 73:126383. https://doi.org/10.1016/j.jnc.2023.126383
Chen GS, Yang YS, Liu LZ et al (2007) Research review on total below ground carbon allocation forest ecosystems. J Subtrop Resour Environ 2(1):34–42. https://doi.org/10.19687/j.cnki.1673-7105.2007.01.00. (in Chinese)
Chen MJ, Wang QR, Bai ZK et al (2021a) Transition of “production–living–ecological” space and its carbon storage effect under the vision of carbon neutralization: a case study of Guizhou province. China Land Sci 35:101–111. https://doi.org/10.11994/zgtdkx.20211112.143927. (in Chinese)
Chen YP, Peng LH, Cao WZ (2021b) Health evaluation and coordinated development characteristics of urban agglomeration: case study of Fujian Delta in China. Ecol Indic 121:107149. https://doi.org/10.1016/j.ecolind.2020.107149
Chen JC, Qi Q, Wang BY et al (2023) Response of ecosystem services to landscape patterns under socio-economic-natural factor zoning: a case study of Hubei Province. China Ecol Indic 153:110417. https://doi.org/10.1016/j.ecolind.2023.110417
Fan LY, Cai TY, Wen Q et al (2023) Scenario simulation of land use change and carbon storage response in Henan Province, China: 1990–2050. Ecol Indic 154:110660. https://doi.org/10.1016/j.ecolind.2023.110660
Friedmann J, Miller J (1965) The urban field. J Am Plan Assoc 31(4):312–320. https://doi.org/10.1080/01944366508978185
Fu JY, Bu ZQ, Jiang D et al (2022) Sustainable land use diagnosis based on the perspective of production–living–ecological spaces in China. Land Use Polic 122:106386. https://doi.org/10.1016/j.landusepol.2022.106386
Geng LL, Zhang YY, Hui HX et al (2023) Response of urban ecosystem carbon storage to land use/cover change and its vulnerability based on major function-oriented zone planning. Land 12:1563. https://doi.org/10.3390/land12081563
Giardina CP, Ryan MG (2000) Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature. Nat 404(6780):858–861. https://doi.org/10.1038/35009076
Gong WF, Duan XY, Sun YX et al (2023) Multi-scenario simulation of land use/cover change and carbon storage assessment in Hainan coastal zone from perspective of free trade port construction. J Clean Prod 385:135630. https://doi.org/10.1016/j.jclepro.2022.135630
Gu CL (1995) Research on urban fringe of metropolitan area in China. Sci Press, Beijing, pp 147–150. (in Chinese)
Guo HQ, Yu Q, Pei YR et al (2021) Optimization of landscape spatial structure aiming at achieving carbon neutrality in desert and mining areas. J Clean Prod 322:129156. https://doi.org/10.1016/j.jclepro.2021.129156
Hassan MM (2017) Monitoring land use/land cover change, urban growth dynamics and landscape pattern analysis in five fastest urbanized cities in Bangladesh. Remote Sens Appl: Soc Environ 7:69–83. https://doi.org/10.1016/j.rsase.2017.07.001
Hwang J, Choi Y, Sung HC et al (2022) Evaluation of the function of suppressing changes in land use and carbon storage in green belts. Resour, Conserv Recycl 187:106600. https://doi.org/10.1016/j.resconrec.2022.106600
Hou L, Wu FQ, Xie XL (2020) The spatial characteristics and relationships between landscape pattern and ecosystem service value along an urban-rural gradient in Xi’an city. China Ecol Indic 108:105720. https://doi.org/10.1016/j.ecolind.2019.105720
Jiang HP, Guo HD, Sun ZC et al (2023) Urban-rural disparities of carbon storage dynamics in China’s human settlements driven by population and economic growth. Sci Total Environ 871:162092. https://doi.org/10.1016/j.scitotenv.2023.162092
Ju HR, Zhang ZX, Zhao XL et al (2018) The changing patterns of cropland conversion to built-up land in China from 1987 to 2010. J Geogr Sci 28:1595–1610. https://doi.org/10.1007/s11442-018-1531-8
Ke XL, Tang LP (2019) Impact of cascading processes of urban expansion and cropland reclamation on the ecosystem of carbon storage service in Hubei province, China. Acta Ecol Sin 39:672–683. https://doi.org/10.5846/stxb201712042177(inChinese)
Li H, Wu Y, Liu S et al (2022a) The Grain-for-Green project offsets warming-induced soil organic carbon loss and increases soil carbon stock in Chinese Loess Plateau. Sci Total Environ 837:155469. https://doi.org/10.1016/j.scitotenv.2022.155469
Li YX, Liu ZS, Li SJ, Li X (2022b) Multi-scenario simulation analysis of land use and carbon storage changes in Changchun city based on FLUS and InVEST model. Land 11:647. https://doi.org/10.3390/land11050647
Li WJ, Kang JW, Wang Y (2023) Distinguishing the relative contributions of landscape composition and configuration change on ecosystem health from a geospatial perspective. Sci Total Environ 894:165002. https://doi.org/10.1016/j.scitotenv.2023.165002
Liang FC, Zhu RM, Lin SH (2023) Exploring spatial relationship between landscape configuration and ecosystem services: a case study of Xiamen-Zhangzhou-Quanzhou in China. Ecol Model 486:110527. https://doi.org/10.1016/j.ecolmodel.2023.110527
Liu JY, Yan QQ, Zhang MH (2023) Ecosystem carbon storage considering combined environmental and land-use changes in the future and pathways to carbon neutrality in developed regions. Sci Total Environ 903:166204. https://doi.org/10.1016/j.scitotenv.2023.166204
Lyu YF, Wang MJ, Zou YN, Wu CF (2022) Mapping trade-offs among urban fringe land use functions to accurately support spatial planning. Sci Total Environ 802:149915. https://doi.org/10.1016/j.scitotenv.2021.149915
Marques A, Martins IS, Kastner T et al (2019) Increasing impacts of land use on biodiversity and carbon sequestration driven by population and economic growth. Nat Ecol Evol 3:628–637. https://doi.org/10.1038/s41559-019-0824-3
Medeiros A, Fernandes C, Gonçalves JF, Farinha-Marques P (2022) A diagnostic framework for assessing land-use change impacts on landscape pattern and character – a case-study from the Douro region. Portugal Landsc Urban Plan 228:104580. https://doi.org/10.1016/j.landurbplan.2022.104580
Mengist W, Soromessa T, Feyisa GL (2023) Responses of carbon sequestration service for landscape dynamics in the Kaffa biosphere reserve, southwest Ethiopia. Environ Impact Assess Rev 98:106960. https://doi.org/10.1016/j.eiar.2022.106960
Obersteiner M, Böttcher H, Yamagata Y (2010) Terrestrial ecosystem management for climate change mitigation. Curr Opin Environ Sustain 2:271–276. https://doi.org/10.1016/j.cosust.2010.05.006
Qian L, Yi HM, Shen MY, Wang M (2023) Coupling coordination and spatio-temporal evolution of land-use benefits under the dual carbon goal: a case study in Anhui. China Sci Total Environ 903:166123. https://doi.org/10.1016/j.scitotenv.2023.166123
Qin HX, Chen YJ (2023) Spatial non-stationarity of water conservation services and landscape patterns in Erhai Lake Basin. China Ecol Indic 146:109894. https://doi.org/10.1016/j.ecolind.2023.109894
Raich JW, Nadelhoffer KJ (1989) Belowground carbon allocation in forest ecosystems: global trends. Ecol 70(5):1346–1354. https://doi.org/10.2307/1938194
Ren Y, Wei XH, Wang DR et al (2013) Linking landscape patterns with ecological functions: a case study examining the interaction between landscape heterogeneity and carbon stock of urban forests in Xiamen, China. For Ecol Manag 293:122–131. https://doi.org/10.1016/j.foreco.2012.12.043
Song J (2022) Research on temporal and spatial changes of forest carbon storage and forest landscape pattern in Qilian Mountains. Dissertation, Gansu Agricultural University. https://doi.org/10.27025/d.cnki.ggsnu.2021.000022 (in Chinese)
Song JF, Zhang RD, Wang YR et al (2023) Evolution characteristics of wetland landscape pattern and its impact on carbon sequestration in Wuhan from 2000 to 2020. Land 12(3):582–582. https://doi.org/10.3390/LAND12030582
Su HM, He AX (2010) Analysis of land use based on RS and geostatistics in Fuzhou city. J Nat Resour 25(01):91–99. https://doi.org/10.11849/zrzyxb.2010.01.010. (in Chinese)
Sun ZX, Sun J, Guo HD et al (2021) A dataset of built–up areas of Chinese cities in 2020. Sci Data Bank. https://doi.org/10.11922/sciencedb.j00001.00332
Tang ZL, Wang YT, Fu M et al (2023) The role of land use landscape patterns in the carbon emission reduction: empirical evidence from China. Ecol Indic 156:111176. https://doi.org/10.1016/j.ecolind.2023.111176
Wan SZ, Chen FS, Hu XF et al (2020) Urbanization aggravates imbalances in the active C, N and P pools of terrestrial ecosystems. Glob Ecol Conserv 21:e00831. https://doi.org/10.1016/j.gecco.2019.e00831
Wang S, Zhuang QL, Zhou MY et al (2023) Temporal and spatial changes in soil organic carbon and soil inorganic carbon stocks in the semi-arid area of northeast China. Ecol Indic 146:109776. https://doi.org/10.1016/j.ecolind.2022.109776
Xu Q, Dong YX, Yang R (2018a) 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
Xu L, He NP, Yu GR (2018b) A dataset of carbon density in Chinese terrestrial ecosystems (2010s). Sci Data Bank. https://doi.org/10.11922/sciencedb.603
Xue B, Fu B (2023) Conceptual evolution and classification system reconstruction of urban fringe. Arid Land Geogr 46(11):1903–1914. https://doi.org/10.12118/j.issn.1000-6060.2023.111. (in Chinese)
Yang X, Liu X (2022) Carbon conduction effect and temporal–spatial difference caused by land type transfer in Chang–Zhu–Tan urban agglomeration from 1995 to 2018. Acta Ecol Sin 42. https://doi.org/10.1016/J.CHNAES.2022.02.004
Ye X, Chuai X (2022) Carbon sinks/sources’ spatiotemporal evolution in China and its response to built-up land expansion. J Environ Manag 321:115863. https://doi.org/10.1016/j.jenvman.2022.115863
Yu KJ, Li DH (1997) Landscape ecological model of urban–rural and regional planning. Urban Plan Int 03:27–31 (in Chinese)
Yu YY, Guo ZT, Wu HB et al (2009) Spatial changes in soil organic carbon density and storage of cultivated soils in China from 1980 to 2000. Glob Biogeochem Cycles 23. https://doi.org/10.1029/2008GB003428
Yuan YY, Tang SQ, Zhang JQ, Guo W (2023) 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
Zhai GQ (2007) The development and construction of urban fringe of contemporary big city in China. Dissertation, Tianjin University. https://doi.org/10.7666/d.Y1362251. (in Chinese)
Zhang XY, Gao XL, Cai Q, Song DJ (2023) Analyzing spatial–temporal pattern and climate factors of blue–green space in urban built–up areas in prefecture–level cities in China. J. Geo-Inf Sci 25:190–207. https://doi.org/10.12082/dqxxkx.2023.220261. (in Chinese)
Zheng HL, Zheng HF (2023) Assessment and prediction of carbon storage based on land use/land cover dynamics in the coastal area of Shandong province. Ecol Indic 153:110474. https://doi.org/10.1016/j.ecolind.2023.110474
Zhou T, Chen WX, Wang Q, Li Y (2023) Urbanisation and ecosystem services in the Taiwan Strait west coast urban agglomeration, China, from the perspective of an interactive coercive relationship. Ecol Indic 146:109861. https://doi.org/10.1016/j.ecolind.2023.109861
Zhu LY, Song RX, Sun S et al (2022) Land use/land cover change and its impact on ecosystem carbon storage in coastal areas of China from 1980 to 2050. Ecol Indic 142:109178. https://doi.org/10.1016/j.ecolind.2022.109178
Zhu CM, Yuan SF, Yang LX (2023) Evolution of territorial spacial pattern and associated eco-environmental effects from the perspective of major functional zones: a case study of Zhejiang province. Acta Ecol Sin 43(11):4488–4501. https://doi.org/10.5846/stxb202202240428 (in Chinese)
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This work was supported by Postgraduate Innovation Fund of Jiangxi province (YC2023–S585) and Research Center of Geological Resource Economics and Management (22GJDGL03).
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XZ: methodology, software, data curation, and writing—original draft. ZC: conceptualization and writing—review and editing.
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Zheng, X., Chen, Z. The spatial response of carbon storage to territorial space composition and landscape pattern changes: A case study of the Fujian Delta urban agglomeration, China. Environ Sci Pollut Res 31, 11666–11683 (2024). https://doi.org/10.1007/s11356-024-31861-w
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DOI: https://doi.org/10.1007/s11356-024-31861-w