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| eDNA 메타바코딩× | 기능 다양성× | |
|---|---|---|
| 분야 | 생태학 | 생태학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2012 | 2008 |
| 창시자≠ | Pierre Taberlet | Olivier Mouillot |
| 유형≠ | species detection and community assessment | trait-based diversity analysis |
| 원전≠ | Taberlet, P., Coissac, E., Hajibabaei, M., & Rieseberg, L. H. (2012). Environmental DNA. Molecular Ecology, 21(8), 1789-1793. DOI ↗ | Villéger, S., Mason, N. W., & Mouillot, D. (2008). New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology, 89(8), 2290-2301. DOI ↗ |
| 별칭 | eDNA, metabarcoding, DNA metabarcoding, genetic monitoring | functional traits, trait diversity, ecological niche, functional space |
| 관련 | 4 | 4 |
| 요약≠ | Environmental DNA (eDNA) metabarcoding detects and identifies species present in environmental samples (water, soil, air) by sequencing short DNA fragments released by organisms. Developed by Taberlet and colleagues (2012), this approach has revolutionized biodiversity monitoring: species can be surveyed without capture, observation, or complex sampling designs. Metabarcoding sequences millions of DNA fragments, identifies reads taxonomically, and assigns them to species. The method is non-invasive, rapid, and cost-effective, enabling large-scale biodiversity surveys and early detection of cryptic or rare species. | Functional diversity quantifies the range and abundance distribution of functional traits (morphology, physiology, behavior) among species in a community. Developed by Mouillot and colleagues (2008), functional diversity indices measure how different species are in their ecological roles and resource use strategies. Unlike species richness (number of species), functional diversity captures the breadth of ecological strategies, predicting ecosystem function and stability. |
| ScholarGate데이터셋 ↗ |
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