Impacts of Land Use Conversion on Soil Erosion in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains

被引:12
作者
Guo, Ziqi [1 ]
Yan, Zhaojin [2 ,3 ,4 ]
He, Rong [5 ]
Yang, Hui [2 ,3 ]
Ci, Hui [2 ,3 ]
Wang, Ran [2 ,3 ]
机构
[1] China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou 221116, Peoples R China
[2] China Univ Min & Technol, Sch Resources & Geosci, Xuzhou 221116, Peoples R China
[3] China Univ Min & Technol, Key Lab Coal Bed Gas Resources & Forming Proc, Minist Educ, Xuzhou 221116, Peoples R China
[4] China Univ Min & Technol, Jiangsu Key Lab Coal Based Greenhouse Gas Control, Xuzhou 221108, Peoples R China
[5] Santa Clara Univ, Dept Civil Environm & Sustainable Engn, Santa Clara, CA 95053 USA
关键词
InVEST-SDR model; land use change; multi-scenario prediction; soil erosion; urban agglomeration on the northern slopes of Tianshan Mountains; ECOSYSTEM SERVICES; SEDIMENT DELIVERY; WATER EROSION; GIS; LANDSCAPE; SCENARIOS; RUSLE; PREDICTION; AREAS; CHINA;
D O I
10.3390/land13040550
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The serious problem of soil erosion not only has a profound impact on people's lives but also results in a series of ecological and environmental challenges. To determine the impact of changes in land use type on soil erosion in the urban agglomeration on the northern slopes of the Tianshan Mountains, this study commences by employing the InVEST-SDR (integrated valuation of ecosystem services and tradeoffs-sediment delivery ratio) model to calculate soil erosion levels spanning from 2000 to 2020. Subsequently, it forecasts land use and land cover (LULC) conditions for the year 2030 under three scenarios: Q1 (natural development), Q2 (ecological protection), and Q3 (economic priority). This projection is accomplished through the integration of a coupled Markov chain and multi-objective planning model (MOP) alongside patch-generating land use simulation (PLUS) models. Ultimately, based on these outcomes, the study predicts soil erosion levels for the year 2030. There has been a consistent decline in soil erosion from 2000 to 2020 with high-intensity erosion concentrated in the Tianshan Mountain region. Grasslands, glaciers, and permafrost are identified as the most erosion-prone land types in the study area, with forests exhibiting the highest capacity for soil retention. Converting from grassland and barren land to forest within the same area results in a substantial reduction in soil erosion, specifically by 27.3% and 46.3%, respectively. Furthermore, the transformation from barren land to grassland also leads to a noteworthy 19% decrease in soil erosion. Over the past two decades, the study area has witnessed a significant decline in the area of grasslands, with a notable shift towards barren and impervious surfaces due to economic development and mining activities. The three predicted scenarios depict significant expansion towards barren land, grassland, and impervious area, respectively. Soil erosion decreases under different shared socio-economic pathway (SSP) scenarios relative to 2020. There is an increase in soil erosion in the Q1 scenario and in the Q3 scenario, whereas the amount of soil erosion in the Q2 scenario exhibits a continued decrease when only the effect of land change on soil erosion is considered. Persistently rapid economic development can exacerbate soil erosion problems, underscoring the need to find a balance between economic growth and ecological conservation. As economic expansion slows down, greater emphasis should be placed on environmental protection to maintain ecological stability.
引用
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页数:26
相关论文
共 76 条
[1]   Using the USLE: Chances, challenges and limitations of soil erosion modelling [J].
Alewell, Christine ;
Borrelli, Pasquale ;
Meusburger, Katrin ;
Panagos, Panos .
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2019, 7 (03) :203-225
[2]   Land use/land cover change effect on soil erosion and sediment delivery in the Winike watershed, Omo Gibe Basin, Ethiopia [J].
Aneseyee, Abreham Bertav ;
Elias, Eyasu ;
Soromessa, Teshome ;
Feyisa, Gudina Legese .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 728
[3]   Soil erosion modelling: A global review and statistical analysis [J].
Borrelli, Pasquale ;
Alewell, Christine ;
Alvarez, Pablo ;
Ayach Anache, Jamil Alexandre ;
Baartman, Jantiene ;
Ballabio, Cristiano ;
Bezak, Nejc ;
Biddoccu, Marcella ;
Cerda, Artemi ;
Chalise, Devraj ;
Chen, Songchao ;
Chen, Walter ;
De Girolamo, Anna Maria ;
Gessesse, Gizaw Desta ;
Deumlich, Detlef ;
Diodato, Nazzareno ;
Efthimiou, Nikolaos ;
Erpul, Gunay ;
Fiener, Peter ;
Freppaz, Michele ;
Gentile, Francesco ;
Gericke, Andreas ;
Haregeweyn, Nigussie ;
Hu, Bifeng ;
Jeanneau, Amelie ;
Kaffas, Konstantinos ;
Kiani-Harchegani, Mahboobeh ;
Lizaga Villuendas, Ivan ;
Li, Changjia ;
Lombardo, Luigi ;
Lopez-Vicente, Manuel ;
Esteban Lucas-Borja, Manuel ;
Marker, Michael ;
Matthews, Francis ;
Miao, Chiyuan ;
Mikos, Matjaz ;
Modugno, Sirio ;
Moeller, Markus ;
Naipal, Victoria ;
Nearing, Mark ;
Owusu, Stephen ;
Panday, Dinesh ;
Patault, Edouard ;
Patriche, Cristian Valeriu ;
Poggio, Laura ;
Portes, Raquel ;
Quijano, Laura ;
Rahdari, Mohammad Reza ;
Renima, Mohammed ;
Ricci, Giovanni Francesco .
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 780
[4]   Prolegomena to sediment and flow connectivity in the landscape: A GIS and field numerical assessment [J].
Borselli, Lorenzo ;
Cassi, Paola ;
Torri, Dino .
CATENA, 2008, 75 (03) :268-277
[5]   Exploring ecosystem carbon storage change and scenario simulation in the Qiantang River source region of China [J].
Cao, Ludan ;
Kong, Fanbin ;
Xu, Caiyao .
SCIENCE PROGRESS, 2022, 105 (03)
[6]   The balance between economic development and ecosystem service value in the process of land urbanization: A case study of China's land urbanization from 2000 to 2015 [J].
Cao, Yanni ;
Kong, Lingqiao ;
Zhang, Lufeng ;
Ouyang, Zhiyun .
LAND USE POLICY, 2021, 108
[7]  
[陈槐 CHEN Huai], 2006, [应用与环境生物学报, Chinese Journal of Applied and Environmental Biology], V12, P726
[8]   Effects of land use and land cover on soil erosion control in southern China: Implications from a systematic quantitative review [J].
Chen, Jia ;
Li, Zhongwu ;
Xiao, Haibing ;
Ning, Ke ;
Tang, Chongjun .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 282
[9]   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 [J].
Chuenchum, Pavisorn ;
Xu, Mengzhen ;
Tang, Wenzhe .
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2020, 8 (03) :213-227
[10]   The value of the world's ecosystem services and natural capital [J].
Costanza, R ;
dArge, R ;
deGroot, R ;
Farber, S ;
Grasso, M ;
Hannon, B ;
Limburg, K ;
Naeem, S ;
ONeill, RV ;
Paruelo, J ;
Raskin, RG ;
Sutton, P ;
vandenBelt, M .
NATURE, 1997, 387 (6630) :253-260