Environmental <scp>DNA</scp> Metabarcoding Effectively Detects Invasive Species, Pests, and Community Changes in Taiwan's Rice Fields
(non-native). Cultivation status affected overall diversity, with higher species richness during planting compared to harvesting. No significant differences were observed between native/non-native taxa and between cultivation phases. Altogether, we detected a complex environment across trophic levels comprised of both native and non-native agricultural pests using limited sampling effort, demonstrating eDNA analysis as an efficient biomonitoring approach in rice agroecosystems with direct applications for pest, invasive species, and vector surveillance within Taiwan.
Authors
- Pritam Banerjee (ORCID: https://orcid.org/0000-0002-1818-5096)
- Raju Kumar Sharma (ORCID: https://orcid.org/0000-0002-0195-8320)
- Jyoti Prakash Maity (ORCID: https://orcid.org/0000-0003-4702-335X)
- Chien‐Yen Chen (ORCID: https://orcid.org/0000-0003-1130-669X)
- Kathryn A. Stewart (ORCID: https://orcid.org/0000-0001-6132-6627)
- Matthew A. Barnes (ORCID: https://orcid.org/0000-0002-5550-8587)
- Gobinda Dey (ORCID: https://orcid.org/0000-0002-2762-4679)
- Mathew Seymour (ORCID: https://orcid.org/0000-0002-3654-4857)
- Chin-Wen Wang (ORCID: https://orcid.org/0009-0001-0824-3192)
- Md. Taharia
Institutions
- Leiden University (NL)
- Texas Tech University (US)
- National Chung Cheng University (TW)
- Education University of Hong Kong (HK)
- KIIT University (IN)
- University of Hong Kong (HK)
- University of California, Berkeley (US)
Publication Details
- Journal
- Ecology and Evolution
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1002/ece3.73339
- Primary Topic
- Environmental DNA in Biodiversity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Education, India
- Ditmanson Medical Foundation Chia-Yi Christian Hospital
- National Science and Technology Council