Spatial-temporal heterogeneity in the influence of landscape patterns on trade-offs/synergies among ecosystem services: a case study of the Loess Plateau of northern Shaanxi

被引:6
|
作者
Shi, Jinxin [1 ]
Liang, Xiaoying [1 ,2 ]
Wei, Zheng [1 ]
Li, Huiqiang [1 ]
机构
[1] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China
[2] Shaanxi Key Lab Earth Surface Syst Carrying Capac, Xian 710127, Peoples R China
基金
中国国家自然科学基金;
关键词
Landscape pattern; Trade-off and synergy; Multiscale geographically weighted regression (MGWR); Spatial-temporal heterogeneity; The Loess Plateau of Northern Shaanxi (LPNS); GEOGRAPHICALLY WEIGHTED REGRESSION; CONSEQUENCES;
D O I
10.1007/s11356-023-31521-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Exploring the role of landscape patterns in the trade-offs/synergies among ecosystem services (ESs) is helpful for understanding ES generation and transmission processes and is of great significance for multiple ES management. However, few studies have addressed the potential spatial-temporal heterogeneity in the influence of landscape patterns on trade-offs/synergies among ESs. This study assessed the landscape patterns and five typical ESs (water retention (WR), food supply (FS), habitat quality (HQ), soil retention (SR), and landscape aesthetics (LA)) on the Loess Plateau of northern Shaanxi and used the revised trade-off/synergy degree indicator to measure trade-offs/synergies among ESs. The multiscale geographically weighted regression (MGWR) model was constructed to determine the spatial-temporal heterogeneity in the influence of landscape patterns on the trade-offs/synergies. The results showed that (1) from 2000 to 2010, the increase in cultivated land and the decrease in forestland and grassland increased landscape diversity and decreased landscape heterogeneity and fragmentation. During 2010-2020, the change range decreased, the spatial distribution was homogeneous, and the landscape diversity and fragmentation in the northwestern area increased significantly. (2) The supply of the five ESs continued to increase from 2000 to 2020. During 2000-2010, FS-SR, FS-LA and SR-LA were dominated by synergies. From 2010 to 2020, the proportion of trade-off units in all relationships increased, and HQ-FS, HQ-SR and HQ-LA were dominated by trade-offs. (3) Landscape patterns had complex impacts on trade-offs/synergies, and the same landscape variable could have the opposite impact on specific trade-offs/synergies in different periods and areas. The results of this study will inform managers in developing regional sustainable ecosystem management strategies and advocating for more research to address ecological issues from a spatial-temporal perspective.
引用
收藏
页码:6144 / 6159
页数:16
相关论文
共 50 条
  • [31] Spatiotemporal variations in ecosystem services and their trade-offs and synergies against the background of the gully control and land consolidation project on the Loess Plateau, China
    Jing Wang
    Yulu Wei
    Biao Peng
    Siqi Liu
    Jianfeng Li
    Journal of Arid Land, 2024, 16 : 131 - 145
  • [32] Spatiotemporal variations in ecosystem services and their trade-offs and synergies against the background of the gully control and land consolidation project on the Loess Plateau, China
    WANG Jing
    WEI Yulu
    PENG Biao
    LIU Siqi
    LI Jianfeng
    Journal of Arid Land, 2024, 16 (01) : 131 - 145
  • [33] Assessing heterogeneity of trade-offs/synergies and values among ecosystem services in Beijing-Tianjin-Hebei urban agglomeration
    Li, Qing
    Li, Wenjing
    Wang, Sheng
    Wang, Jinfeng
    ECOLOGICAL INDICATORS, 2022, 140
  • [34] The Temporal Variation and Spatial Scale Dependence of the Trade-Offs and Synergies among Multiple Ecosystem Services in the World Heritage Site of South China Karst
    Feng, Mingjun
    Xiong, Kangning
    Chen, Yue
    Zhang, Wenfang
    Xu, Meirong
    LAND, 2024, 13 (09)
  • [35] Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China
    Xu, Qiurong
    Li, Ruipeng
    Yu, Jia
    Zhang, Pei
    LAND, 2023, 12 (05)
  • [36] Analyzing spatio-temporal changes and trade-offs/synergies among ecosystem services in the Yellow River Basin, China
    Geng, Wenliang
    Li, Yanyan
    Zhang, Pengyan
    Yang, Dan
    Jing, Wenlong
    Rong, Tianqi
    ECOLOGICAL INDICATORS, 2022, 138
  • [37] Spatial heterogeneity of ecosystem services trade-offs among ecosystem service bundles in an alpine mountainous region: A case- study in the Qilian Mountains, Northwest China
    Teng, Yanmin
    Zhan, Jinyan
    Liu, Wei
    Chu, Xi
    Zhang, Fan
    Wang, Chao
    Wang, Lanyuan
    LAND DEGRADATION & DEVELOPMENT, 2022, 33 (11) : 1846 - 1861
  • [38] Exploring the heterogeneity and nonlinearity of trade-offs and synergies among ecosystem services bundles in the Beijing-Tianjin-Hebei urban agglomeration
    Shen, Jiashu
    Li, Shuangcheng
    Liang, Ze
    Liu, Laibao
    Li, Delong
    Wu, Shuyao
    ECOSYSTEM SERVICES, 2020, 43
  • [39] Spatio-Temporal Characteristics of Trade-Offs and Synergies in Ecosystem Services at Watershed and Landscape Scales: A Case Analysis of the Yellow River Basin (Henan Section)
    Niu, Haipeng
    Liu, Mengmeng
    Xiao, Dongyang
    Zhao, Xiaoming
    An, Ran
    Fan, Liangxin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (23)
  • [40] Spatio-temporal quantification of the trade-offs and synergies among ecosystem services based on grid-cells: A case study of Guanzhong Basin, NW China
    Li, Boyan
    Chen, Nengcheng
    Wang, Yunchen
    Wang, Wei
    ECOLOGICAL INDICATORS, 2018, 94 : 246 - 253