湖泊科学2026，Vol.38Issue(5)：1813-1828,中插1-中插2,18.DOI:10.18307/2026.0501
环境DNA助力解析水生态基本生物多样性变量
Harnessing environmental DNA to fill the national gaps in aquatic essential biodiversity variables
摘要
Abstract
The increasing global demand for biodiversity conservation has made the accurate acquisition of biodiversity data a press-ing challenge worldwide.Essential biodiversity variables(EBVs),as core indicators for biodiversity monitoring,provide a scientif-ic foundation for both global and regional conservation policies.While traditional monitoring methods have contributed valuable da-ta,they remain limited by high costs,low efficiency,and sampling difficulties.Environmental DNA(eDNA),as an emerging tool,enables efficient and precise detection of diverse species within environmental samples,thereby supplying richer datasets for the development of EBVs.This paper highlights the potential of eDNA technology in advancing EBVs construction and examines its prospects in biodiversity conservation in China,with the goal of fostering stronger integration between scientific research and policy-making.Using the six classes of EBVs as an analytical framework,this study reviewed 22 national and regional guidelines for a-quatic biodiversity monitoring in China.The results revealed a strong dominance of community-level indicators,with approximately 95.5％of guidelines focusing on community composition,while genetic diversity,quantitative population dynamics,and ecosystem structure and function remain poorly represented.Considerable inconsistencies also existed among guidelines issued by different ad-ministrative sectors,limiting long-term comparability.Environmental DNA,with its high sensitivity,non-invasive sampling,and broad taxonomic coverage,offers a promising approach to address these structural gaps and support the development of EBVs-a-ligned aquatic biodiversity monitoring systems.关键词
环境DNA(eDNA)/基本生物多样性变量(EBVs)/水生生物多样性Key words
Environmental DNA(eDNA)/essential biodiversity variables(EBVs)/aquatic biodiversity引用本文复制引用
傅堃,张颜,张效伟..环境DNA助力解析水生态基本生物多样性变量[J].湖泊科学,2026,38(5):1813-1828,中插1-中插2,18.基金项目
国家重点研发计划项目(2022YFC3202101)和国家自然科学基金项目(42507382)联合资助. （2022YFC3202101）
