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

Kaiyue Wang, Meihuijuan Jiang, Yating Li, Shengnan Kong, Yilun Gao, Yingying Huang, Penghua Qiu (), Yanli Yang and Siang Wan
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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
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

Sustainability, 2024, vol. 16, issue 19, 1-20

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.

Keywords: mangrove forest; aboveground biomass; spatial variation; environmental factors; coupling; geographic detector (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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