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Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.

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Title: Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.
Authors: Chen, Siming1 (AUTHOR) 1993@mju.edu.cn, Chen, Fei2 (AUTHOR) flychfq@163.com, Niu, Longhui1 (AUTHOR) niulonghui9755@163.com, Deng, Zhong1 (AUTHOR) 1718@mju.edu.cn, Wu, Kebin3 (AUTHOR) 1175617839@qq.com, Li, Wenbin3 (AUTHOR) 7681641@qq.com
Source: Environmental Monitoring & Assessment. May2026, Vol. 198 Issue 5, p1-18. 18p.
Subject Terms: *Mangrove ecology, *Coastal zone management, *Ecological niche, *Ecological mapping, *Ecological assessment, *Environmental risk assessment, Remote sensing, Remote-sensing images
Geographic Terms: Quanzhou Shi (China), China
Abstract: Reliable species-level monitoring of mangrove ecosystems is increasingly required for environmental assessment and regulatory decision-making, yet a methodological gap persists between remote sensing outputs and ecological risk evaluation. This study proposes an integrated assessment framework that links multi-sensor satellite imagery with ecological niche modeling to support precision monitoring and threshold-based management. Using Sentinel-2 and SPOT-6 data combined with an object-based U-Net model, we achieved high species-level classification accuracy (OA = 89.02%, Kappa = 0.82) for approximately 483.6 ha of mangroves in Quanzhou Bay, China. Generalized Additive Models (GAMs) quantified key environmental thresholds, revealing a structured zonation scheme: Kandelia obovata prevails in highly productive, hydrologically connected zones (NDVI > 0.43; NDTI > 0.37), Aegiceras corniculatum persists in moderately stressed transitional habitats, while Avicennia marina exhibits critical niche compression, with occurrence probability sharply declining beyond approximately 200 m from tidal creeks. These quantified thresholds provide measurable indicators for ecological monitoring, enabling the early identification of vulnerable species and habitat degradation risks. By integrating species-level distribution mapping with quantified environmental thresholds, the proposed approach operationalizes remote sensing products into a tiered set of management-relevant indicators, including mangrove habitat extent, fine-scale species distribution patterns, and key environmental drivers of species zonation. These evaluation-ready metrics support targeted hydrological restoration, species-specific rehabilitation planning, and invasive species control. This framework demonstrates strong transferability for environmental condition assessment and adaptive monitoring in coastal wetlands under increasing anthropogenic pressure. [ABSTRACT FROM AUTHOR]
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Database: GreenFILE
Description
Abstract:Reliable species-level monitoring of mangrove ecosystems is increasingly required for environmental assessment and regulatory decision-making, yet a methodological gap persists between remote sensing outputs and ecological risk evaluation. This study proposes an integrated assessment framework that links multi-sensor satellite imagery with ecological niche modeling to support precision monitoring and threshold-based management. Using Sentinel-2 and SPOT-6 data combined with an object-based U-Net model, we achieved high species-level classification accuracy (OA = 89.02%, Kappa = 0.82) for approximately 483.6 ha of mangroves in Quanzhou Bay, China. Generalized Additive Models (GAMs) quantified key environmental thresholds, revealing a structured zonation scheme: Kandelia obovata prevails in highly productive, hydrologically connected zones (NDVI > 0.43; NDTI > 0.37), Aegiceras corniculatum persists in moderately stressed transitional habitats, while Avicennia marina exhibits critical niche compression, with occurrence probability sharply declining beyond approximately 200 m from tidal creeks. These quantified thresholds provide measurable indicators for ecological monitoring, enabling the early identification of vulnerable species and habitat degradation risks. By integrating species-level distribution mapping with quantified environmental thresholds, the proposed approach operationalizes remote sensing products into a tiered set of management-relevant indicators, including mangrove habitat extent, fine-scale species distribution patterns, and key environmental drivers of species zonation. These evaluation-ready metrics support targeted hydrological restoration, species-specific rehabilitation planning, and invasive species control. This framework demonstrates strong transferability for environmental condition assessment and adaptive monitoring in coastal wetlands under increasing anthropogenic pressure. [ABSTRACT FROM AUTHOR]
ISSN:01676369
DOI:10.1007/s10661-026-15126-2