IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i5p471-d547601.html
   My bibliography  Save this article

Measuring Dynamic Changes in the Spatial Pattern and Connectivity of Surface Waters Based on Landscape and Graph Metrics: A Case Study of Henan Province in Central China

Author

Listed:
  • Bo Mu

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Guohang Tian

    (College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450002, China)

  • Gengyu Xin

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Miao Hu

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Panpan Yang

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Yiwen Wang

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Hao Xie

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Audrey L. Mayer

    (School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI 49931, USA)

  • Yali Zhang

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

Abstract

An understanding of the scientific layout of surface water space is crucial for the sustainable development of human society and the ecological environment. The objective of this study was to use land-use/land-cover data to identify the spatiotemporal dynamic change processes and the influencing factors over the past three decades in Henan Province, central China. Multidisciplinary theories (landscape ecology and graph theory) and methods (GIS spatial analysis and SPSS correlation analysis) were used to quantify the dynamic changes in surface water pattern and connectivity. Our results revealed that the water area decreased significantly during the periods of 1990–2000 and 2010–2018 due to a decrease in tidal flats and linear waters, but increased significantly in 2000–2010 due to an increase in patchy waters. Human construction activities, socioeconomic development and topography were the key factors driving the dynamics of water pattern and connectivity. The use of graph metrics (node degree, betweenness centrality, and delta probability of connectivity) in combination with landscape metrics (Euclidean nearest-neighbor distance) can help establish the parameters of threshold distance between connected habitats, identify hubs and stepping stones, and determine the relatively important water patches that require priority protection or development.

Suggested Citation

  • Bo Mu & Guohang Tian & Gengyu Xin & Miao Hu & Panpan Yang & Yiwen Wang & Hao Xie & Audrey L. Mayer & Yali Zhang, 2021. "Measuring Dynamic Changes in the Spatial Pattern and Connectivity of Surface Waters Based on Landscape and Graph Metrics: A Case Study of Henan Province in Central China," Land, MDPI, vol. 10(5), pages 1-21, May.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:471-:d:547601
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/5/471/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/5/471/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bo Mu & Chang Liu & Guohang Tian & Yaqiong Xu & Yali Zhang & Audrey L. Mayer & Rui Lv & Ruizhen He & Gunwoo Kim, 2020. "Conceptual Planning of Urban–Rural Green Space from a Multidimensional Perspective: A Case Study of Zhengzhou, China," Sustainability, MDPI, vol. 12(7), pages 1-20, April.
    2. Shanthala Devi, B.S. & Murthy, M.S.R. & Debnath, Bijan & Jha, C.S., 2013. "Forest patch connectivity diagnostics and prioritization using graph theory," Ecological Modelling, Elsevier, vol. 251(C), pages 279-287.
    3. Rahel Hamad & Heiko Balzter & Kamal Kolo, 2017. "Multi-Criteria Assessment of Land Cover Dynamic Changes in Halgurd Sakran National Park (HSNP), Kurdistan Region of Iraq, Using Remote Sensing and GIS," Land, MDPI, vol. 6(1), pages 1-17, March.
    4. Bodin, Örjan & Saura, Santiago, 2010. "Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments," Ecological Modelling, Elsevier, vol. 221(19), pages 2393-2405.
    5. Tian, Junfeng & Wang, Binyan & Zhang, Chuanrong & Li, Weidong & Wang, Shijun, 2020. "Mechanism of regional land use transition in underdeveloped areas of China: A case study of northeast China," Land Use Policy, Elsevier, vol. 94(C).
    6. Wang, Yan, 2020. "Urban land and sustainable resource use: Unpacking the countervailing effects of urbanization on water use in China, 1990–2014," Land Use Policy, Elsevier, vol. 90(C).
    7. Martin Herold & Joseph Scepan & Keith C Clarke, 2002. "The Use of Remote Sensing and Landscape Metrics to Describe Structures and Changes in Urban Land Uses," Environment and Planning A, , vol. 34(8), pages 1443-1458, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Min Zhao & Chenyang Li & Denielle M. Perry & Yuxiao Zhang & Yuwen He & Peng Li, 2022. "Connectivity Index-Based Identification of Priority Area of River Protected Areas in Sichuan Province, Southwest China," Land, MDPI, vol. 11(4), pages 1-21, March.
    2. Junhao Zhang & Xinjun Wang & Yujing Xie, 2021. "Implication of Buffer Zones Delineation Considering the Landscape Connectivity and Influencing Patch Structural Factors in Nature Reserves," Sustainability, MDPI, vol. 13(19), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Almpanidou, Vasiliki & Mazaris, Antonios D. & Mertzanis, Yorgos & Avraam, Ioannis & Antoniou, Ioannis & Pantis, John D. & Sgardelis, Stefanos P., 2014. "Providing insights on habitat connectivity for male brown bears: A combination of habitat suitability and landscape graph-based models," Ecological Modelling, Elsevier, vol. 286(C), pages 37-44.
    2. Yang, Tianxiang & Jing, Dong & Wang, Shoubing, 2015. "Applying and exploring a new modeling approach of functional connectivity regarding ecological network: A case study on the dynamic lines of space syntax," Ecological Modelling, Elsevier, vol. 318(C), pages 126-137.
    3. Sheng Liu & Ming Bai & Min Yao & Ke Huang, 2021. "Identifying the natural and anthropogenic factors influencing the spatial disparity of population hollowing in traditional villages within a prefecture-level city," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
    4. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    5. Xingjian Liu & Ying Long, 2016. "Automated identification and characterization of parcels with OpenStreetMap and points of interest," Environment and Planning B, , vol. 43(2), pages 341-360, March.
    6. Zihan Cai & Sidong Zhao & Mengshi Huang & Congguo Zhang, 2023. "Evolution Model, Mechanism, and Performance of Urban Park Green Areas in the Grand Canal of China," Land, MDPI, vol. 13(1), pages 1-29, December.
    7. Roy, Arijit & Bhattacharya, Sudeepto & Ramprakash, M. & Senthil Kumar, A., 2016. "Modelling critical patches of connectivity for invasive Maling bamboo (Yushania maling) in Darjeeling Himalayas using graph theoretic approach," Ecological Modelling, Elsevier, vol. 329(C), pages 77-85.
    8. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    9. Qian Zuo & Yong Zhou & Jingyi Liu, 2022. "Construction and Optimization Strategy of an Ecological Network in Mountainous Areas: A Case Study in Southwestern Hubei Province, China," IJERPH, MDPI, vol. 19(15), pages 1-27, August.
    10. Iga Solecka & Dietmar Bothmer & Arkadiusz Głogowski, 2019. "Recognizing Landscapes for the Purpose of Sustainable Development—Experiences from Poland," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    11. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    12. Shirkou Jaafari & Yousef Sakieh & Afshin Alizadeh Shabani & Afshin Danehkar & Ali-akbar Nazarisamani, 2016. "Landscape change assessment of reservation areas using remote sensing and landscape metrics (case study: Jajroud reservation, Iran)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(6), pages 1701-1717, December.
    13. Min Wang & Kongtao Qin & Yanhong Jia & Xiaohan Yuan & Shuqi Yang, 2022. "Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
    14. Jinling Zhao & Jie Wang & Yu Jin & Lingling Fan & Chao Xu & Dong Liang & Linsheng Huang, 2018. "Land Cover Based Landscape Pattern Dynamics of Anhui Province Using GlobCover and MCD12Q1 Global Land Cover Products," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
    15. Sarah Hasan & Wenzhong Shi & Xiaolin Zhu & Sawaid Abbas & Hafiz Usman Ahmed Khan, 2020. "Future Simulation of Land Use Changes in Rapidly Urbanizing South China Based on Land Change Modeler and Remote Sensing Data," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    16. Xiao Lyu & Yanan Wang & Yuntai Zhao & Shandong Niu, 2022. "Spatio‐temporal pattern and mechanism of coordinated development of “population–land–industry–money” in rural areas of three provinces in Northeast China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1333-1361, September.
    17. T.V. Ramachandra & H. A. Bharath & M. V. Sowmyashree, 2013. "Analysis Of Spatial Patterns Of Urbanisation Using Geoinformatics And Spatial Metrics," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(4), pages 5-24, November.
    18. Yılmaz, Merve & Terzi, Fatih, 2021. "Measuring the patterns of urban spatial growth of coastal cities in developing countries by geospatial metrics," Land Use Policy, Elsevier, vol. 107(C).
    19. Wencun Zhou & Zhengjia Liu & Sisi Wang, 2023. "Spatiotemporal Dynamics of the Cropland Area and Its Response to Increasing Regional Extreme Weather Events in the Farming-Pastoral Ecotone of Northern China during 1992–2020," Sustainability, MDPI, vol. 15(18), pages 1-28, September.
    20. Zhicong Zhao & Pei Wang & Xiaoshan Wang & Fangyi Wang & Tz-Hsuan Tseng & Yue Cao & Shuyu Hou & Jiayuan Peng & Rui Yang, 2022. "A Protected Area Connectivity Evaluation and Strategy Development Framework for Post-2020 Biodiversity Conservation," Land, MDPI, vol. 11(10), pages 1-17, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:471-:d:547601. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.