Describing functional diversity of communities from environmental DNA

被引:0
作者
Cantera, Isabel [1 ]
Giachello, Simone [2 ]
Munkemuller, Tamara [3 ]
Caccianiga, Marco [4 ]
Gobbi, Mauro [5 ]
Losapio, Gianalberto [4 ,6 ]
Marta, Silvio [7 ]
Valle, Barbara [8 ,9 ]
Zawierucha, Krzysztof [10 ]
Thuiller, Wilfried [3 ]
Ficetola, Gentile Francesco [1 ,3 ]
机构
[1] Univ Milan, Dept Environm Sci & Policy, Milan, Italy
[2] Univ Sch Adv Studies IUSS Pavia, Dept Sci Technol & Soc, Pavia, Italy
[3] Univ Grenoble Alpes, Univ Savoie Mont Blanc, CNRS, LECA, Grenoble, France
[4] Univ Milan, Dept Biosci, Milan, Italy
[5] MUSE Sci Museum Trento, Climate & Ecol Unit, Res & Museum Collect Off, Trento, Italy
[6] Univ Lausanne, Inst Earth Surface Dynam, Lausanne, Switzerland
[7] Inst Geosci & Earth Resources, CNR, Via Moruzzi 1, I-56124 Pisa, Italy
[8] Univ Siena, Siena, Italy
[9] NBFC Nat Biodivers Future Ctr, Palermo, Italy
[10] Adam Mickiewicz Univ, Dept Anim Taxon & Ecol, Poznan, Poland
基金
欧洲研究理事会; 瑞士国家科学基金会;
关键词
STANDARDIZED MEASUREMENT; BIODIVERSITY; HANDBOOK; TRAITS;
D O I
10.1016/j.tree.2024.10.007
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Comprehensive assessments of functional diversity are needed to understand ecosystem alterations under global changes. The 'Fun-eDNA' approach characterises functional diversity by assigning traits to taxonomic units obtained through environmental DNA (eDNA) sampling. By simultaneously analysing an unprecedented number of taxa over broad spatial scales, the approach provides a whole-ecosystem perspective of functional diversity. Fun-eDNA is increasingly used to tackle multiple questions, but aligning eDNA with traits poses several conceptual and technical challenges. Enhancing trait databases, improving the annotation of eDNA-based taxonomic inventories, interdisciplinary collaboration, and conceptual harmonisation of traits are key steps to achieve a comprehensive assessment of diverse taxa. Overcoming these challenges can unlock the full potential of eDNA in leveraging measures of ecosystem functions from multi-taxa assessments.
引用
收藏
页码:170 / 179
页数:10
相关论文
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