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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]
Copyright of Environmental Monitoring & Assessment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Siming%22">Chen, Siming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1993@mju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Fei%22">Chen, Fei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> flychfq@163.com</i><br /><searchLink fieldCode="AR" term="%22Niu%2C+Longhui%22">Niu, Longhui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> niulonghui9755@163.com</i><br /><searchLink fieldCode="AR" term="%22Deng%2C+Zhong%22">Deng, Zhong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1718@mju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Kebin%22">Wu, Kebin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> 1175617839@qq.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Wenbin%22">Li, Wenbin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> 7681641@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Monitoring+%26+Assessment%22">Environmental Monitoring & Assessment</searchLink>. May2026, Vol. 198 Issue 5, p1-18. 18p.
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  Data: *<searchLink fieldCode="DE" term="%22Mangrove+ecology%22">Mangrove ecology</searchLink><br />*<searchLink fieldCode="DE" term="%22Coastal+zone+management%22">Coastal zone management</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+niche%22">Ecological niche</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+mapping%22">Ecological mapping</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+assessment%22">Ecological assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+risk+assessment%22">Environmental risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Quanzhou+Shi+%28China%29%22">Quanzhou Shi (China)</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Environmental Monitoring & Assessment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10661-026-15126-2
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Subjects:
      – SubjectFull: Mangrove ecology
        Type: general
      – SubjectFull: Coastal zone management
        Type: general
      – SubjectFull: Ecological niche
        Type: general
      – SubjectFull: Ecological mapping
        Type: general
      – SubjectFull: Ecological assessment
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      – SubjectFull: Environmental risk assessment
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      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Remote-sensing images
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      – SubjectFull: Quanzhou Shi (China)
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      – SubjectFull: China
        Type: general
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      – TitleFull: Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.
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            NameFull: Chen, Siming
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            NameFull: Chen, Fei
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            NameFull: Wu, Kebin
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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