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| eDNA 메타바코딩× | 거리 표본 추출법× | |
|---|---|---|
| 분야 | 생태학 | 생태학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2012 | 1993 |
| 창시자≠ | Pierre Taberlet | Stephen Buckland |
| 유형≠ | species detection and community assessment | population abundance estimation |
| 원전≠ | Taberlet, P., Coissac, E., Hajibabaei, M., & Rieseberg, L. H. (2012). Environmental DNA. Molecular Ecology, 21(8), 1789-1793. DOI ↗ | Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (1993). Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, London. link ↗ |
| 별칭 | eDNA, metabarcoding, DNA metabarcoding, genetic monitoring | line transect, point transect, distance estimation, detection probability |
| 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. | Distance sampling is a statistical method for estimating population abundance from data on distances between observers and detected individuals. Developed by Buckland and colleagues (1993) and formalized in the software Distance, this approach accounts for imperfect detection: animals far from an observer are less likely to be detected. By modeling the detection function (probability of detecting an animal at various distances), distance sampling produces unbiased estimates of abundance and density even when detection is incomplete. |
| ScholarGate데이터셋 ↗ |
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