Exploring the characteristics and driving forces of orchard expansion in ecological fragile region: A case study of three typical counties in the Loess Plateau

被引:0
作者
Hu, Qiyuan [1 ]
Gao, Xiang [1 ]
Wang, Sijia [1 ]
Wang, Qihan [1 ]
Qin, Yuting [1 ]
Zhang, Weiyi [1 ]
Lun, Fei [1 ]
Li, Zhuo [2 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China
[2] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
orchard expansion; driving forces; ecological fragile region; linear spectral mixture analysis; Loess Plateau; LAND; DETERMINANTS; FORESTS; CHINA;
D O I
10.3389/fenvs.2022.1097236
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Loess Plateau exemplifies the type of ecologically fragile region that faces severe poverty challenges in China. Orchards have expanded rapidly over the past few decades and now constitute a considerable part of local economy. Not only do the characteristics of orchard expansion affect local economic development, but also exert additional pressure on the ecological environment. Therefore, it is essential for sustainable development on the Loess Plateau to investigate the characteristics and driving forces of orchard expansion. The Fuxian, Luochuan, Huangling, three typical orchard planting counties were chosen as the study area. Firstly, the orchard was extracted from the land use/cover classification from 1990-2020. It broadens the research approach to the identification of expansion cash crops by using the combination of linear spectral mixture analysis (LSMA) and decision tree. Secondly, the spatiotemporal dynamics of orchard expansion were quantitatively investigated based on spatial geometry center shift, physical geographical features, landscape pattern and orchard planting suitability. Then, we constructed an evaluation indicators system to detect the feature importance and partial dependence of different factors by random forest regression. It is more innovative to employ the machine learning method to investigate driving forces. Finally, the linkages between planting suitability and orchard expansion were further discussed, and subsequent policies were proposed. Findings demonstrated the orchard had continuously expanded over the past 30 years, with the fastest expansion rate during 1990-2005. Increased cohesion was accompanied by a shift in the orchard's spatial distribution to the north central region and highly suitable planting regions. Slope turned out to be the primary factor affecting the orchard expansion. In the future, regions with aging orchard but high planting suitability should be the preferred choice for orchard expansion. Additionally, the transportation connectivity and governmental assistance are crucial considerations for the future planning of the orchard.
引用
收藏
页数:19
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共 54 条
  • [41] Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications
    Tooke, Thoreau Rory
    Coops, Nicholas C.
    Goodwin, Nicholas R.
    Voogt, James A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2009, 113 (02) : 398 - 407
  • [42] Continuous maize cultivation with high nitrogen fertilizers associated with the formation of dried soil layers in the semiarid farmland on the Loess Plateau
    Wang L.
    Zechariah E.
    Fudjoe S.K.
    Li L.
    Xie J.
    Luo Z.
    Cai L.
    Khan S.
    Xu W.
    Chen Y.
    [J]. Journal of Hydrology, 2022, 613
  • [43] Reducing greenhouse gas emissions and improving net ecosystem economic benefit through long-term conservation tillage in a wheat-maize multiple cropping system in the Loess Plateau, China
    Wang, Weiyan
    Zhang, Houping
    Mo, Fei
    Liao, Yuncheng
    Wen, Xiaoxia
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2022, 141
  • [44] Dynamic changes of cultivated land use and grain production in the lower reaches of the Yellow River based on GlobeLand30
    Wang, Xiaowei
    Cheng, Hui
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [45] Transient Poverty, Poverty Dynamics, and Vulnerability to Poverty: An Empirical Analysis Using a Balanced Panel from Rural China
    Ward, Patrick S.
    [J]. WORLD DEVELOPMENT, 2016, 78 : 541 - 553
  • [46] Spatiotemporal prediction and optimization of environmental suitability in citrus-producing areas
    Wu, Zhenyu
    Zou, Shizhao
    Yang, Yong
    Yang, Xue
    Han, Qingzhong
    Chen, Chang
    Wang, Mingxia
    Tan, Wenfeng
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [47] Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning
    Xiao, Rui
    Su, Shiliang
    Mai, Gengchen
    Zhang, Zhonghao
    Yang, Chenxue
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 34 : 258 - 263
  • [48] Investigation on spatial and temporal variation of coupling coordination between socioeconomic and ecological environment: A case study of the Loess Plateau, China
    Xiao, Yi
    Wang, Rui
    Wang, Fan
    Huang, Huan
    Wang, Jue
    [J]. ECOLOGICAL INDICATORS, 2022, 136
  • [49] Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China
    Xu, Hanzeyu
    Qi, Shuhua
    Gong, Peng
    Liu, Chong
    Wang, Junbang
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (22) : 8271 - 8292
  • [50] Soil properties of apple orchards on China's Loess Plateau
    Yang, Min
    Wang, Shaofei
    Zhao, Xining
    Gao, Xiaodong
    Liu, Shuai
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 723