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Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin

Author

Listed:
  • Dike Zhang

    (School of Foreign Languages, China University of Geosciences, Wuhan 430074, China)

  • Jianpeng Wang

    (Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430014, China
    Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resources, Wuhan 430014, China)

  • Ying Wang

    (Department of Land Resources Management, China University of Geosciences, Wuhan 430074, China)

  • Lei Xu

    (Wuhan Economic and Technological Development Zone (Hannan District) Natural Resources and Planning Bureau, Wuhan 430056, China)

  • Liang Zheng

    (Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430014, China
    Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resources, Wuhan 430014, China)

  • Bowen Zhang

    (Department of Land Resources Management, China University of Geosciences, Wuhan 430074, China)

  • Yuzhe Bi

    (Department of Land Resources Management, China University of Geosciences, Wuhan 430074, China)

  • Hui Yang

    (Department of Land Resources Management, China University of Geosciences, Wuhan 430074, China)

Abstract

The extent to which landscape spatial patterns can impact the dynamics and distribution of biodiversity is a key geography and ecology issue. However, few previous studies have quantitatively analyzed the spatial relationship between the landscape pattern and habitat quality from a simulation perspective. In this study, the landscape pattern in 2031 was simulated using a patch-generating simulation (PLUS) model for the Yellow River Basin. Then, the landscape pattern index and habitat quality from 2005 to 2031 were evaluated using the Fragstats 4.2 and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Furthermore, we analyzed the spatial distribution characteristics and spatial spillover effects of habitat quality using spatial autocorrelation analysis. Finally, the spatial association between the landscape pattern index and habitat quality was quantitatively revealed based on a spatial lag model. The simulation results showed that: (1) from 2005 to 2031, the landscape of the Yellow River Basin would be dominated by grassland and unused land, and the areas of construction land and water body will increase significantly, while the area of grassland will decrease; (2) patch density (PD) and Shannon’s diversity index (SHDI) show significant increases, while edge density (ED), landscape shape index (LSI), mean patch area (AREA_MN), and contagion index (CONTAG) decrease; (3) from 2005 to 2031, habitat quality would decrease. The high-value areas of habitat quality are mainly distributed in the upper reaches of the Yellow River Basin, and the low-value areas are distributed in the lower reaches. Meanwhile, both habitat quality and its change rate present positive spatial autocorrelation; and (4) the spatial relationships of habitat quality with PD and COHESION are negative, while ED and LSI have positive impacts on habitat quality. Specifically, landscape fragmentation caused by high PD has a dominant negative influence on habitat quality. Therefore, this study can help decision makers manage future landscape patterns and develop ecological conservation policy in the Yellow River Basin.

Suggested Citation

  • Dike Zhang & Jianpeng Wang & Ying Wang & Lei Xu & Liang Zheng & Bowen Zhang & Yuzhe Bi & Hui Yang, 2022. "Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:11974-:d:921764
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    References listed on IDEAS

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    1. Qinglong Ding & Yang Chen & Lingtong Bu & Yanmei Ye, 2021. "Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    2. Boumans, Roelof & Roman, Joe & Altman, Irit & Kaufman, Les, 2015. "The Multiscale Integrated Model of Ecosystem Services (MIMES): Simulating the interactions of coupled human and natural systems," Ecosystem Services, Elsevier, vol. 12(C), pages 30-41.
    3. Moreira, Miguel & Fonseca, Catarina & Vergílio, Marta & Calado, Helena & Gil, Artur, 2018. "Spatial assessment of habitat conservation status in a Macaronesian island based on the InVEST model: a case study of Pico Island (Azores, Portugal)," Land Use Policy, Elsevier, vol. 78(C), pages 637-649.
    4. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    5. Fazlolah Ahmadi Mirghaed & Bubak Souri, 2021. "Relationships between habitat quality and ecological properties across Ziarat Basin in northern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16192-16207, November.
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