A systematic analysis and review of soil organic carbon stocks in urban greenspaces

被引:0
作者
Guo, Yang [1 ,2 ]
Han, Jiatong [3 ]
Bao, Haijun [1 ]
Wu, Yuzhe [2 ]
Shen, Liyin [1 ]
Xu, Xiangrui [1 ]
Chen, Ziwei [1 ]
Smith, Pete [4 ]
Abdalla, Mohamed [4 ]
机构
[1] Hangzhou City Univ, Res Inst Urban Planning & Sustainabil, Hangzhou 310015, Peoples R China
[2] Zhejiang Univ, Sch Publ Affairs, Hangzhou 310058, Peoples R China
[3] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
[4] Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen AB24 3UU, Scotland
基金
中国国家自然科学基金;
关键词
Soil organic carbon; Vegetation type; Human footprint; Climate; Selected soil properties; Management and environmental setting; LAND-USE; HUMAN FOOTPRINT; CLIMATE-CHANGE; FOREST SOILS; TURF GRASS; FINE-SCALE; SEQUESTRATION; DYNAMICS; DRIVERS; STORAGE;
D O I
10.1016/j.scitotenv.2024.174788
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban greenspaces typically refer to urban wetland, urban forest and urban turfgrass. They play a critical role in carbon sequestration by absorbing carbon from the atmosphere; however, their capacity to retain and store carbon in the form of soil organic carbon (SOC) varies significantly. This study provides a systematic analysis and review on the capacity of different urban greenspace types in retaining and storing SOC in 30 cm soil depth on a global scale. Data came from 78 publications on the subject of SOC stocks, covering different countries and climate zones. Overall, urban greenspace types exerted significant influences on the spatial pattern of SOC stocks, with the highest value of 18.86 f 11.57 kg m- 2 (mean f standard deviation) in urban wetland, followed by urban forest (6.50 f 3.65 kg m-- 2 ), while the lowest mean value of 4.24 f 3.28 kg m- 2 was recorded in urban turfgrass soil. Soil organic carbon stocks in each urban greenspace type were significantly affected by climate zones, management/environmental settings, and selected soil properties (i.e. soil bulk density, pH and clay content). Furthermore, our analysis showed a significantly negative correlation between SOC stocks and human footprint in urban wetland, but a significantly positive relationship in urban forest and urban turfgrass. A positive correlation between SOC stocks and human footprint indicates that increased human activity and development can enhance SOC stocks through effective management and green infrastructure. Conversely, a negative correlation suggests that improper management of human activities can degrade SOC stocks. This highlights the need for sustainable practices to maintain or enhance SOC accumulation in urban greenspaces.
引用
收藏
页数:13
相关论文
共 106 条
  • [1] Critical review of the impacts of grazing intensity on soil organic carbon storage and other soil quality indicators in extensively managed grasslands
    Abdalla, M.
    Hastings, A.
    Chadwick, D. R.
    Jones, D. L.
    Evans, C. D.
    Jones, M. B.
    Rees, R. M.
    Smith, P.
    [J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2018, 253 : 62 - 81
  • [2] Land use and land cover changes explain spatial and temporal variations of the soil organic carbon stocks in a constructed urban park
    Bae, Jeehwan
    Ryu, Youngryel
    [J]. LANDSCAPE AND URBAN PLANNING, 2015, 136 : 57 - 67
  • [3] Six research priorities for cities and climate change
    Bai, Xuemei
    Dawson, Richard J.
    Urge-Vorsatz, Diana
    Delgado, Gian C.
    Barau, Aliyu Salisu
    Dhakal, Shobhakar
    Dodman, David
    Leonardsen, Lykke
    Masson-Delmotte, Valerie
    Roberts, Debra
    Schultz, Seth
    [J]. NATURE, 2018, 555 (7694) : 19 - 21
  • [4] Carbon concentrations and stocks in forest soils of Europe
    Baritz, Rainer
    Seufert, Guenther
    Montanarella, Luca
    Van Ranst, Eric
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2010, 260 (03) : 262 - 277
  • [5] A model of greenhouse gas emissions from the management of turf on two golf courses
    Bartlett, Mark D.
    James, Iain T.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2011, 409 (08) : 1357 - 1367
  • [6] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [7] Litter decomposition and organic matter turnover in northern forest soils
    Berg, B
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2000, 133 (1-2) : 13 - 22
  • [8] Heavy metal concentrations in groundwaters and soils of Thane Region of Maharashtra, India
    Bhagure, Ganesh Ramdas
    Mirgane, S. R.
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2011, 173 (1-4) : 643 - 652
  • [9] Tree species diversity increases fine root productivity through increased soil volume filling
    Brassard, Brian W.
    Chen, Han Y. H.
    Cavard, Xavier
    Laganiere, Jerome
    Reich, Peter B.
    Bergeron, Yves
    Pare, David
    Yuan, Zhiyou
    [J]. JOURNAL OF ECOLOGY, 2013, 101 (01) : 210 - 219
  • [10] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32