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<p>Wetlands are among the most productive ecosystems, providing vital ecological functions, biodiversity support, livelihoods, and climate resilience. In Bangladesh, however, wetlands such as Arial Beel are rapidly degrading due to anthropogenic pressure and unplanned land use. This study assessed vegetation structure, tree diversity, and carbon sequestration in the Arial Beel wetland using 40 nested field plots and satellite imagery. Species composition, biodiversity indices, and aboveground carbon stocks were evaluated across vegetation types, with carbon sequestration estimated using allometric equations and landscape patterns analyzed through remote sensing. A total of 43 plant species were recorded, including 14 tree species dominated by <i>Barringtonia acutangula</i> and <i>Crateva religiosa</i>. Vegetation covered 4,696.25&#xa0;ha and varied with topography and water availability. Biodiversity was moderate (Shannon Index = 2.68; Simpson = 0.91), while species similarity among plots was low. Mean carbon sequestration was 0.02&#xa0;Mg CO<sub>2</sub> tree⁻<sup>1</sup>&#xa0;year⁻<sup>1</sup>, highest in Eucalyptus and Coconut. Scenario modeling indicated that replacing Eucalyptus with native species could enhance biodiversity and water retention but slightly reduce carbon storage, highlighting restoration trade-offs. The study emphasizes the need for inteQuerygrated wetland management combining field data and remote sensing to sustain ecosystem services.</p>

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Role of trees in enhancing wetland resilience: a case study on biodiversity and carbon dynamics of Arial Beel, Bangladesh

  • 期刊论文

  • 发表日期：

    2026年5月26日

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  • S. M. Kamran Ashraf,
  • Kazi Kamrul Islam,
  • Mohd Golam Quader Khan,
  • Md. Shahjahan,
  • Md. Parvez Anwar,
  • Mohammad Salah Uddin,
  • Abdul Hannan Imran,
  • Goutam Chandra Mridha,
  • Md. Samsul Alam

摘要

Wetlands are among the most productive ecosystems, providing vital ecological functions, biodiversity support, livelihoods, and climate resilience. In Bangladesh, however, wetlands such as Arial Beel are rapidly degrading due to anthropogenic pressure and unplanned land use. This study assessed vegetation structure, tree diversity, and carbon sequestration in the Arial Beel wetland using 40 nested field plots and satellite imagery. Species composition, biodiversity indices, and aboveground carbon stocks were evaluated across vegetation types, with carbon sequestration estimated using allometric equations and landscape patterns analyzed through remote sensing. A total of 43 plant species were recorded, including 14 tree species dominated by Barringtonia acutangula and Crateva religiosa. Vegetation covered 4,696.25 ha and varied with topography and water availability. Biodiversity was moderate (Shannon Index = 2.68; Simpson = 0.91), while species similarity among plots was low. Mean carbon sequestration was 0.02 Mg CO2 tree⁻1 year⁻1, highest in Eucalyptus and Coconut. Scenario modeling indicated that replacing Eucalyptus with native species could enhance biodiversity and water retention but slightly reduce carbon storage, highlighting restoration trade-offs. The study emphasizes the need for inteQuerygrated wetland management combining field data and remote sensing to sustain ecosystem services.