BBI: an R package for the computation of Benthic Biotic Indices from composition data

T. Cordier, J. Pawłowski
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引用次数: 7

Abstract

The monitoring of impacts of anthropic activities in marine environments, such as aquaculture, oil-drilling platforms or deep-sea mining, relies on Benthic Biotic Indices (BBI). Several indices have been formalised to reduce the multivariate composition data into a single continuous value that is ascribed to a discrete ecological quality status. Such composition data is traditionally obtained from macrofaunal inventories, which is time-consuming and expertise-demanding. Important efforts are ongoing towards using High-Throughput Sequencing of environmental DNA (eDNA metabarcoding) to replace or complement morpho-taxonomic surveys for routine biomonitoring. The computation of BBI from such composition data is usually being undertaken by practitioners with excel spreadsheets or through custom script. Hence, the updating of reference morpho-taxonomic tables and cross studies comparison could be hampered. Here we introduce the R package BBI for the computation of BBI from composition data, either obtained from traditional morpho-taxonomic inventories or from metabarcoding data. Its aim is to provide an open-source, transparent and centralised method to compute BBI for routine biomonitoring.
BBI:一个基于成分数据计算底栖生物指数的R包
监测海洋环境中人类活动的影响,如水产养殖、石油钻井平台或深海采矿,依赖于底栖生物指数。几个指数已经被形式化,以将多元组成数据简化为一个单一的连续值,该值被归因于离散的生态质量状态。这种组成数据传统上是从大型动物名录中获得的,这既耗时又需要专业知识。使用环境DNA高通量测序(eDNA代谢条形码)来取代或补充用于常规生物监测的形态分类学调查的重要努力正在进行中。根据此类组成数据计算BBI通常由从业者使用excel电子表格或通过自定义脚本进行。因此,参考形态分类表的更新和交叉研究的比较可能会受到阻碍。在这里,我们介绍了用于从组成数据计算BBI的R包BBI,这些数据要么从传统的形态分类学清单中获得,要么从代谢编码数据中获得。其目的是提供一种开源、透明和集中的方法来计算BBI,用于常规生物监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Metabarcoding and Metagenomics
Metabarcoding and Metagenomics Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
5.40
自引率
0.00%
发文量
25
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