Articles | Volume 11, issue 24
https://doi.org/10.5194/bg-11-7107-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-7107-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Dec 2014
Research article |
| 16 Dec 2014
Multi-factor controls on terrestrial carbon dynamics in urbanized areas
C. Zhang
CORRESPONDING AUTHOR
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
School of Resources Environment Science and Engineering, Hubei University of Science and Technology, Hubei, China
H. Tian
CORRESPONDING AUTHOR
International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn AL, 36849, USA
S. Pan
International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn AL, 36849, USA
G. Lockaby
International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn AL, 36849, USA
A. Chappelka
International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn AL, 36849, USA
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27 citations as recorded by crossref.
- Remote sensing-based artificial surface cover classification in Asia and spatial pattern analysis W. Kuang et al. 10.1007/s11430-016-5295-7
- Influence of different geographical factors on carbon sink functions in the Pearl River Delta Q. Xu et al. 10.1038/s41598-017-00158-z
- Urban Land Conversion Reduces Soil Organic Carbon Density Under Impervious Surfaces Q. Ding et al. 10.1029/2021GB007293
- Spatial and temporal variations in soil respiration among different land cover types under wet and dry years in an urban park J. Bae & Y. Ryu 10.1016/j.landurbplan.2017.07.020
- Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990–2050 in Cold China T. Pan et al. 10.3390/rs10122011
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- Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000–2016 Q. Zhong et al. 10.1016/j.rse.2019.111374
- Urban Land-Cover Change and Its Impact on the Ecosystem Carbon Storage in a Dryland City Y. Yan et al. 10.3390/rs8010006
- Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000–2020 Using Time Series of Remotely Sensed Images on the Big Data Platform Z. Yin et al. 10.3390/rs13214288
- Implications of climate change for managing urban green infrastructure: an Indiana, US case study H. Reynolds et al. 10.1007/s10584-019-02617-0
- Accounting for urban biogenic fluxes in regional carbon budgets B. Hardiman et al. 10.1016/j.scitotenv.2017.03.028
- The impact of renewable energy and urbanization on CO2 emissions in Europe – Spatio-temporal approach T. Grodzicki & M. Jankiewicz 10.1016/j.envdev.2022.100755
- Building houses and managing lawns could limit yard soil carbon for centuries M. Peach et al. 10.1186/s13021-019-0124-x
- Taking the pulse of forest plantations success in peri-urban environments through continuous inventory B. Ferrari et al. 10.1007/s11056-017-9580-x
- Impacts and uncertainties of climate/CO2 change on net primary productivity in Xinjiang, China (2000–2014): A modelling approach X. Fang et al. 10.1016/j.ecolmodel.2019.108742
- Urban expansion and intra-urban land evolution as well as their natural environmental constraints in arid/semiarid regions of China from 2000–2018 T. Pan et al. 10.1007/s11442-023-2136-4
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- Net primary productivity (NPP) dynamics and associated urbanization driving forces in metropolitan areas: a case study in Beijing City, China J. Peng et al. 10.1007/s10980-015-0319-9
- The influence of rapid urbanization and land use changes on terrestrial carbon sources/sinks in Guangzhou, China Q. Xu et al. 10.1016/j.ecolind.2016.05.052
- Temporal consistency between gross primary production and solar-induced chlorophyll fluorescence in the ten most populous megacity areas over years Y. Cui et al. 10.1038/s41598-017-13783-5
- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
- Hierarchical Urban Land Mappings and Their Distribution with Physical Medium Environments Using Time Series of Land Resource Images in Beijing, China (1981–2021) T. Pan et al. 10.3390/rs14030580
- Projecting the CO2 and Climatic Change Effects on the Net Primary Productivity of the Urban Ecosystems in Phoenix, AZ in the 21st Century under Multiple RCP (Representative Concentration Pathway) Scenarios C. Chen & C. Zhang 10.3390/su9081366
- Modeling direct above-ground carbon loss due to urban expansion in Zanzibar City Region, Tanzania M. Kukkonen et al. 10.1016/j.landusepol.2021.105810
- Urbanization and fragmentation mediate temperate forest carbon cycle response to climate A. Reinmann et al. 10.1088/1748-9326/abbf16
- Assessing changes of urban vegetation cover and aboveground carbon stocks using LiDAR and Landsat imagery data in Auckland, New Zealand V. Wang et al. 10.1080/01431161.2019.1685716
- Impact of Land Use Change on Vegetation Carbon Storage During Rapid Urbanization: A Case Study of Hangzhou, China Z. Wang et al. 10.1007/s11769-021-1183-y
Saved (final revised paper)
Latest update: 21 Jan 2025
Short summary
Based on a comprehensive analysis framework including 15 factors, a factorial analysis scheme was developed to quantify a relative contribution of individual factors to carbon dynamics induced by urbanization. A case study in the southern US showed that land conversion had larger impacts than other factors, causing C loss. Urban managements & the interactive effect among factors compensated for 42% of the C loss in LC. The altered disturbance regime after urbanization enhanced the urban C sink.
Based on a comprehensive analysis framework including 15 factors, a factorial analysis scheme...
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