Attenuation of species abundance distributions by sampling
| Autor: | Ross Darnell, Hideyasu Shimadzu |
|---|---|
| Přispěvatelé: | European Research Council, University of St Andrews. School of Biology |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
0106 biological sciences
Richness sampling Species presence/absence QH301 Biology Biodiversity NDAS Biology computer.software_genre 010603 evolutionary biology 01 natural sciences rarefaction marine surveys 010104 statistics & probability QH301 Abundance (ecology) Statistics Resource management SDG 14 - Life Below Water 0101 mathematics lcsh:Science Sampling Relative species abundance Relative abundance distribution biodiversity estimation Sampling bias Multidisciplinary GE Sampling (statistics) Biology (Whole Organism) Biodiversity estimation Rarefactions lcsh:Q Data mining Species richness computer richness species presence/absence Marine surveys GE Environmental Sciences |
| Zdroj: | Royal Society Open Science Royal Society Open Science, Vol 2, Iss 4 (2015) |
| Popis: | Quantifying biodiversity aspects such as species presence/ absence, richness and abundance is an important challenge to answer scientific and resource management questions. In practice, biodiversity can only be assessed from biological material taken by surveys, a difficult task given limited time and resources. A type of random sampling, or often called sub-sampling, is a commonly used technique to reduce the amount of time and effort for investigating large quantities of biological samples. However, it is not immediately clear how (sub-)sampling affects the estimate of biodiversity aspects from a quantitative perspective. This paper specifies the effect of (sub-)sampling as attenuation of the species abundance distribution (SAD), and articulates how the sampling bias is induced to the SAD by random sampling. The framework presented also reveals some confusion in previous theoretical studies. Publisher PDF |
| Databáze: | OpenAIRE |
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