Quantifying and spatializing the island landsenses ecological condition using a two-dimensional model

被引:0
|
作者
Zhang, Zhiwei [1 ,2 ]
Chi, Yuan [1 ]
Qu, Yubing [1 ,2 ]
Liu, Dahai [1 ]
机构
[1] Minist Nat Resources, Inst Oceanog 1, Key Lab Coastal Sci & Integrated Management, 6 Xianxialing Rd, Qingdao 266061, Shandong, Peoples R China
[2] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Landsense ecology; Quantifying and spatializing; Physical and psychological perception; Island;
D O I
10.1016/j.ocecoaman.2024.107246
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Achieving the harmonious development of the "social-ecological" system is a crucial aspect of the global sustainable development goals. Landsenses ecology is an emerging concept that emphasizes sustainable land use planning and comprehensive management. Islands serve as ideal study areas setting for studying the landsenses ecology due to their vulnerability as ecosystems exposed to significant human activities. To assess the condition and spatial distribution of landsenses ecology, we established a quantitative evaluation framework that encompassed eight factors across two perceptions - physical and psychological. Our study focused on two islands situated in southeast China, which, despite their proximity, demonstrate remarkable differences in terms of natural and economic characteristics. The results revealed a significant spatial heterogeneity in the landsenses ecological condition on both islands. Nan'ao island (NAI) exhibited higher values for physical (0.5) and psychological (0.243) perceptions compared to Dongshan island (DSI), which was primarily attributed to varying natural environments and topographic factors. Notably, elevation and slope demonstrated strong correlations with landsenses ecological condition, acting as critical determinants of island development. Finally, using beaches as an example, we examined the impact of landsenses ecological conditions about the tourist resources of the islands. This study contributes to the development of scientifically informed urban and tourism planning processes by providing decision-makers with valuable insights.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] A New Two-Dimensional Condition-Based Maintenance Model by Using Copulas
    Wang, Hanyang
    Luo, Ming
    Gu, Fengshou
    PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING, 2023, 117 : 907 - 920
  • [2] QUANTIFYING UNCERTAINTIES IN PHENOMENOLOGICAL MODEL OF TWO-DIMENSIONAL VIV USING MULTIVARIATE MONTE CARLO SIMULATIONS
    Tagliaferri, Francesca
    Srinil, Narakorn
    PROCEEDINGS OF THE ASME 36TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2017, VOL 2, 2017,
  • [4] Using two-dimensional hydrodynamic models at scales of ecological importance
    Crowder, DW
    Diplas, P
    JOURNAL OF HYDROLOGY, 2000, 230 (3-4) : 172 - 191
  • [5] Quantifying two-dimensional and three-dimensional stereoscopic learning in anatomy using electroencephalography
    Sarah J. Anderson
    Heather A. Jamniczky
    Olave E. Krigolson
    Sylvain P. Coderre
    Kent G. Hecker
    npj Science of Learning, 4
  • [6] Validating the Construct of Environmental Attitude in Urban Nepal Using the Two-Dimensional Model of Ecological Values
    Regmi, Shakil
    Johnson, Bruce
    URBAN SCIENCE, 2024, 8 (04)
  • [7] Quantifying two-dimensional and three-dimensional stereoscopic learning in anatomy using electroencephalography
    Anderson, Sarah J.
    Jamniczky, Heather A.
    Krigolson, Olave E.
    Coderre, Sylvain P.
    Hecker, Kent G.
    NPJ SCIENCE OF LEARNING, 2019, 4 (01)
  • [8] The effect of tree diffusion in a two-dimensional continuous model for Easter Island
    Takacs, Balint
    Horvath, Robert
    Farago, Istvan
    EUROPEAN JOURNAL OF MATHEMATICS, 2019, 5 (03) : 845 - 857
  • [9] The effect of tree diffusion in a two-dimensional continuous model for Easter Island
    Bálint Takács
    Róbert Horváth
    István Faragó
    European Journal of Mathematics, 2019, 5 : 845 - 857
  • [10] Quantifying the linear damping in two-dimensional turbulence
    Xie, Jin-Han
    PHYSICAL REVIEW FLUIDS, 2020, 5 (09):