Yinqiu Ji

Kunming Institute of Zoology CAS · State Key Laboratory of Genetic Resources and Evolution

Plant diversity surely determines arthropod diversity, but only moderate correlations between arthropod and plant species richness had been observed until Basset et al. (2012, Science 338: 1481-1484) finally undertook an unprecedentedly comprehensive sampling of a tropical forest and demonstrated that plant species richness could indeed accurately...

Plant diversity surely determines arthropod diversity, but only moderate correlations between arthropod and plant species richness had been observed until Basset et al. (2012, Science 338: 1481-1484) finally undertook an unprecedentedly comprehensive sampling of a tropical forest and demonstrated that plant species richness could indeed accurately...

Appendix S2. Read map (see Fig. S2) for CN_CG_2.

Appendix S3. Read map (see Fig. S2) for CN_CG_3.

Appendix S4.Read map (see Fig. S2) for CS_OELS_1.

Appendix S5. Read map (see Fig. S2) for CS_OELS_2.

Appendix S6. Read map (see Fig. S2) for HD_CG_1.

Appendix S7. Read map (see Fig. S2) for HD_CG_2.

Appendix S8. Read map (see Fig. S2) for HD_CG_3.

Appendix S9. Read map (see Fig. S2) for LW_CG_1.

Fig. S1. The 48 reference mitogenomes, color‐coded for the 13 protein‐coding genes and the rDNA+Control Region. Fig. S2. Mapping of reads (red line segments) on reference mitogenomes (black lines). Fig. S3. Metabarcoding primers. Fig. S4. Scatterplot of Biomasses versus Metabarcoding Read numbers. Fig. S5. Community analyses for Metabarcoding d...

Appendix S10. Read map (see Fig. S2) for LW_ELS_1.

Table S1. DNA and assembly quality information for the 48 reference bee species and the 10 bulk samples. Table S2. Bee counts, biomasses, andmetabarcoding read numbers, subdivided by sample (columns) and bee species (rows).

Appendix S1. Read map (see Fig. S2) for CN_CG_1.

Bee populations and other pollinators face multiple, synergistically acting threats, which have led to population declines, loss of local species richness and pollination services, and extinctions. However, our understanding of the degree, distribution and causes of declines is patchy, in part due to inadequate monitoring systems, with the challeng...

Strong global demand for tropical timber and agricultural products has driven large-scale logging and subsequent conversion of tropical forests. Given that the majority of tropical landscapes have been or will likely be logged, the protection of biodiversity within tropical forests thus depends on whether species can persist in these economically e...

The targeted sequencing of taxonomically informative genetic markers, sometimes known as metabarcoding, allows eukaryote biodiversity to be measured rapidly, cheaply, comprehensively, repeatedly, and verifiably. Metabarcoding helps to remove the taxonomic impediment, which refers to the great logistical difficulties of describing and identifying sp...

The Tibetan fox (Vulpes ferrilata) is generally acknowledged to be a specialist forager on its preferred prey, the burrowing lagomorph plateau pika (Ochotona curzoniae), but whether true dependency characterizes the relationship remains unclear. We estimated the presence of Tibetan foxes in 62 habitat patches that reflected a continuum of environme...

Metabarcoding of mixed arthropod samples for biodiversity assessment has mostly been carried out on the Roche 454 GS FLX sequencer, due to its ability to produce long reads (≥ 400 bp) that are believed to allow higher taxonomic resolution. The Illumina sequencing platforms, with their much higher throughputs, could potentially reduce sequencing cos...

To manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard...

The horizontal distribution of stems, stand density and the differentiation of tree dimensions are among the most important aspects of stand structure. An increasing complexity of stand structure is often linked to a higher number of species and to greater ecological stability. For quantification, the Structural Com-plexity Index (SCI) describes st...

1. Traditional biodiversity assessment is costly in time, money and taxonomic expertise. Moreover, data are frequently collected in ways (e.g. visual bird lists) that are unsuitable for auditing by neutral parties, which is necessary for dispute resolution. 2. We present protocols for the extraction of ecological, taxonomic and phylogenetic informa...

see paper: Reliable, verifiable, and efficient monitoring of biodiversity via metabarcoding To manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. However, the great difficulty of quantifying biodiversity poses a serious roadblock to the development of effec...