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Chunyan Yang

Researcher at Kunming Institute of Zoology

Publications -  18
Citations -  903

Chunyan Yang is an academic researcher from Kunming Institute of Zoology. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 8, co-authored 16 publications receiving 718 citations.

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Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring

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.
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Using metabarcoding to ask if easily collected soil and leaf-litter samples can be used as a general biodiversity indicator

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.
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Environmental DNA for the enumeration and management of Pacific salmon.

TL;DR: It is shown that daily, and near‐daily, flow‐corrected eDNA rate closely tracks daily numbers of returning sockeye and coho spawners and outmigrating sockeye smolts, and promises accurate and efficient enumeration.
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Plant diversity accurately predicts insect diversity in two tropical landscapes.

TL;DR: It is demonstrated that plant species richness can accurately predict arthropod (mostly insect) species richness and that plant and insect community compositions are highly correlated, even in landscapes that are large, heterogeneous and anthropogenically modified.
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Cost-effective scat-detection dogs: unleashing a powerful new tool for international mammalian conservation biology.

TL;DR: The results demonstrate that detection dogs can locate fecal samples from unhabituated primates with variable diets, locomotion, and grouping patterns, despite challenging field conditions, and provide a model for in-country training, while also building local capacity for conservation and genetic monitoring.