Yinqiu Ji

TL;DR: It is demonstrated, for the first time, that metabarcoding allows for the precise estimation of pairwise community dissimilarity (beta diversity) and within-community phylogenetic diversity (alpha diversity), despite the inevitable loss of taxonomic information inherent to metabarcode.

TL;DR: Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution.

TL;DR: It is shown that the metagenomic mining and resequencing of mitochondrial genomes (mitogenomics) can be applied successfully to bulk samples of wild bees, and species lists, biomass frequencies, extrapolated species richness and community structure were recovered with less error than in a metabarcoding pipeline.

TL;DR: Using a systematic conservation planning analysis, it is shown that efficient protection of primary-forest species is achieved with land portfolios that include a large proportion of logged-forest plots, and is a cost-effective method of protecting an ecologically and taxonomically diverse range of species, particularly when conservation budgets are limited.

TL;DR: It is shown that while the taxonomic compositions of soil and leaf-litter samples are very different from aboveground samples, both types of samples provide similar ecological information, in terms of ranking sites by species richness and differentiating sites by beta diversity.