Spatiotemporal foresting of soil erosion for SSP-RCP scenarios considering local vegetation restoration project: A case study in the three gorges reservoir (TGR) area, China

被引:17
作者
Luo, Zhibang [1 ]
Chen, Xiao [1 ]
Li, Nian [1 ]
Li, Jingyi [3 ]
Zhang, Wenting [1 ,2 ]
Wang, Tianwei [1 ]
机构
[1] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China
[2] Huazhong Agr Univ, Res Ctr Terr Spatial Governance & Governance & Gre, Wuhan, Peoples R China
[3] Univ Arizona, Tucson, AZ USA
基金
中国国家自然科学基金;
关键词
Soil erosion; Three gorges reservoir; Grain -for -green policy; China; Land use change; Climate change; CMIP6; SSP -RCP scenarios; CLIMATE-CHANGE IMPACTS; FUTURE LAND-USE; USE/COVER CHANGE; GREEN PROGRAM; LOESS PLATEAU; GRAIN; MODEL; SIMULATION; CATCHMENT; EXPANSION;
D O I
10.1016/j.jenvman.2023.117717
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil erosion is a common form of land degradation. The Coupled Model Intercomparison Project Phase 6 (CMIP6) provides a scenario framework for global socio-economic development and climate change by combining Shared Socioeconomic Pathways (SSP) and Representative Concentration Pathways (RCP). The soil erosion estimation under global climate change and land-use change scenarios provided by CMIP6 is valuable for representing future changes and hotspots. This study estimated the future changes in soil erosion in the Three Gorges Reservoir (TGR) area, China, which has suffered severe soil loss over an extended period, and vegetation restoration projects have been conducted since 1999. The scenarios provided by SSP1-2.6, SSP2-4.5, and SSP5-8.5 were coupled with the scenarios of regional vegetation restoration projects to reflect future land use changes (LUC) and climate change. The results showed that future soil erosion from 2020 to 2100 in the TGR area will experience a non-significant decreasing trend (with trend slopes of-0.013,-0.020, and-0.006 in SSP1-2.6, SSP2-4.5, and SSP5-8.5, respectively, with p > 0.05). However, with the R factors calculated by different methods, this decreasing trend becomes either insignificant or a significant increasing trend. SSP1-2.6 will experience the lowest soil erosion in 2100 owing to the large amount of forest increase in this scenario. Furthermore, as estimates, the grain-for-green policy (GGP) will reduce 89353.47, 92737.73 and 42916.52 ton soil erosion per year in SSP1-2.6, SSP2-4.5 and SSP3-8.5 by 2100, respectively. In the future, the GGP will become increasingly important for controlling soil loss in the TGR area owing to the increasing precipitation in all scenarios, which increases the risk of soil loss.
引用
收藏
页数:15
相关论文
共 87 条
  • [1] Land use and climate change impacts on runoff and soil erosion at the hillslope scale in the Brazilian Cerrado
    Anache, Jamil A. A.
    Flanagan, Dennis C.
    Srivastava, Anurag
    Wendland, Edson C.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 : 140 - 151
  • [2] Land use and climate change impacts on global soil erosion by water (2015-2070)
    Borrelli, Pasquale
    Robinson, David A.
    Panagos, Panos
    Lugato, Emanuele
    Yang, Jae E.
    Alewell, Christine
    Wuepper, David
    Montanarella, Luca
    Ballabio, Cristiano
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (36) : 21994 - 22001
  • [3] An assessment of the global impact of 21st century land use change on soil erosion
    Borrelli, Pasquale
    Robinson, David A.
    Fleischer, Larissa R.
    Lugato, Emanuele
    Ballabio, Cristiano
    Alewell, Christine
    Meusburger, Katrin
    Modugno, Sirio
    Schuett, Brigitta
    Ferro, Vito
    Bagarello, Vincenzo
    Van Oost, Kristof
    Montanarella, Luca
    Panagos, Panos
    [J]. NATURE COMMUNICATIONS, 2017, 8
  • [4] Cai C., 2000, J SOIL WATER CONSERV, V14, P19, DOI DOI 10.13870/J.CNKI.STBCXB.2000.02.005
  • [5] Global projections of future urban land expansion under shared socioeconomic pathways
    Chen, Guangzhao
    Li, Xia
    Liu, Xiaoping
    Chen, Yimin
    Liang, Xun
    Leng, Jiye
    Xu, Xiaocong
    Liao, Weilin
    Qiu, Yue'an
    Wu, Qianlian
    Huang, Kangning
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [6] Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100
    Chen, Yidan
    Guo, Fang
    Wang, Jiachen
    Cai, Wenjia
    Wang, Can
    Wang, Kaicun
    [J]. SCIENTIFIC DATA, 2020, 7 (01)
  • [7] Predicted trends of soil erosion and sediment yield from future land use and climate change scenarios in the Lancang-Mekong River by using the modified RUSLE model
    Chuenchum, Pavisorn
    Xu, Mengzhen
    Tang, Wenzhe
    [J]. INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2020, 8 (03) : 213 - 227
  • [8] Assessment of current and future land use/cover changes in soil erosion in the Rio da Prata basin (Brazil)
    da Cunha, Elias Rodrigues
    Guimaraes Santos, Celso Augusto
    da Silva, Richarde Marques
    Panachuki, Eloi
    Sanches de Oliveira, Paulo Tarso
    Oliveira, Naelmo de Souza
    Falcao, Karina dos Santos
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 818
  • [9] Effects of the grain-for-green program on soil erosion in China
    Deng, Lei
    Shangguan, Zhou-ping
    Li, Rui
    [J]. INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 2012, 27 (01) : 120 - 127
  • [10] [丁明磊 Ding Minglei], 2022, [自然资源学报, Journal of Natural Resources], V37, P1137