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  4. EXPLORING BIODIVERSITY IN MACAU’S URBAN WETLAND ECOSYSTEMS THROUGH E-DNA ANALYSIS
 
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EXPLORING BIODIVERSITY IN MACAU’S URBAN WETLAND ECOSYSTEMS THROUGH E-DNA ANALYSIS

Date Issued
2025-07
Author(s)
Leong Mei Kei
Abstract
Macau’s rapid urban development has significantly altered its natural
landscapes, leading to the degradation and fragmentation of wetland ecosystems.
Although diminished in size, these urban wetlands continue to deliver vital
ecological services and sustain a range of biodiversity. Conventional methods
for biodiversity assessment are often labor-intensive and unsuitable for regular
monitoring in urban environments. This study utilized environmental DNA
(eDNA) metabarcoding as a non-invasive and effective approach to survey
biodiversity in 2 coastal and 7 freshwater urban wetlands in Macau.
Environmental DNA was extracted from water samples collected from these
nine representative wetland sites and analyzed using metabarcoding techniques
to detect fish species. Three genetic markers were targeted to enhance
taxonomic resolution, which included COI (mlCOIintF/LoboR1, 313 bp), 12S
(miFish-U, 170 bp) and 18S (V4, 400 bp). Bioinformatic pipelines were used to
process sequencing data, identify taxa, and compute biodiversity indices,
providing a comprehensive snapshot of aquatic biodiversity in Macau’s urban
wetlands. A total of 90 fish species were detected, including native species,
migrants, and invasive taxa. Beta diversity analysis shows site and season
together explained 50% of the variation in community composition
(PERMANOVA R² = 0.50, p = 0.001), shaped by environmental gradients and
seasonal turnover. These results highlight eDNA metabarcoding as an effective
tool for biodiversity monitoring in urban wetlands and emphasize the need to
preserve habitat diversity and management strategies in Macau.
Subjects

Macau Urban Wetlands

Biodiversity

e-DNA Metabarcoding

Biodiversity Monitori...

File(s)
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Name

Variational Approaches and Mathematical Models (for office) - Mikael Mei Kei Leong.pdf

Size

2.38 MB

Format

Adobe PDF

Checksum

(MD5):f9aef4b465d4a713c07c3463ccc62e2e


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