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Spatial Differentiation of Mangrove Aboveground Biomass and Identification of Its Main Environmental Drivers in Qinglan Harbor Mangrove Nature Reserve

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Listed:
  • Kaiyue Wang

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Meihuijuan Jiang

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Yating Li

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Shengnan Kong

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Yilun Gao

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Yingying Huang

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Penghua Qiu

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China
    Hainan Provincial Key Laboratory of Ecological Civilization and Integrated Land-Sea Development, Haikou 571158, China)

  • Yanli Yang

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

  • Siang Wan

    (College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China)

Abstract

In the Bamen Bay area of the Qinglan Harbor Mangrove Provincial Nature Reserve in Wenchang, Hainan Province, China, mangrove aboveground biomass (AGB) was estimated using high-resolution UAV ortho-imagery and UAV LiDAR data. The spatial distribution characteristics of AGB were studied using global Moran’s I index and hotspot analysis. Optimal geographic detectors and regression models were employed to analyze the relationship between AGB and key environmental factors. The results indicate that (1) the average AGB in the study area was 141.22 Mg/ha, with significant spatial variation. High AGB values were concentrated in the southwestern and northeastern regions, while low values were mainly found in the central and southeastern regions. (2) Plant species, water pH, soil total potassium, salinity, dissolved oxygen, elevation, soil organic matter, soil total phosphorus, and soil total nitrogen were identified as major factors influencing the spatial distribution of AGB. The interaction results indicate either bifactor enhancement or nonlinear enhancement, showing a significantly higher impact compared with single factors. (3) Comprehensive regression model results reveal that soil total nitrogen was the primary factor affecting AGB, followed by soil total potassium, with water pH having the least impact. Factors positively correlated with AGB promoted biomass growth, while elevation negatively affected AGB, inhibiting biomass accumulation. The findings provide critical insights that can guide targeted conservation efforts and management strategies aimed at enhancing mangrove ecosystem health and resilience, particularly by focusing on key areas identified for potential improvement and by addressing the complex interactions among environmental factors.

Suggested Citation

  • Kaiyue Wang & Meihuijuan Jiang & Yating Li & Shengnan Kong & Yilun Gao & Yingying Huang & Penghua Qiu & Yanli Yang & Siang Wan, 2024. "Spatial Differentiation of Mangrove Aboveground Biomass and Identification of Its Main Environmental Drivers in Qinglan Harbor Mangrove Nature Reserve," Sustainability, MDPI, vol. 16(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8408-:d:1487120
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    References listed on IDEAS

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    1. Daniel P. McMillen, 2004. "Geographically Weighted Regression: The Analysis of Spatially Varying Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 554-556.
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