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High Quality, Granular, Timely, Trustworthy and Efficient Vertebrate Species Distribution Data Across a 30,000 km2 Protected Area Complex
Data Availability Statement R Code, data and outputs for all occupancy analyses implemented in this manuscript are available via GitHub public repository: https://github.com/dvpopescu/Gaoligongshan-eDNA; archived on Zenodo DOI: 10.5281/zenodo.17113196; Bioinformatic pipelines for creating the OTU table (http://github.com/jiyinqiu/2023GLG_eDNA_method_code; DOI: 10.5281/zenodo.17098000) and for Protax taxonomic assignment of the OTUs (https://github.com/jiyinqiu/screenforbio-mbc-23GLG; DOI:...
Extracting abundance information from DNA-based data
New Results doi: https://doi.org/10.1101/2022.01.06.475221 Abstract The accurate extraction of species-abundance information from DNA-based data (metabarcoding, metagenomics) could contribute usefully to diet analysis and food-web reconstruction, the inference of species interactions, the modelling of population dynamics and species distributions, the biomonitoring of environmental state and change, and the inference of false positives and negatives.
Extracting abundance information from DNA-based data
Confirmatory Results Mingjie Luo, Yinqiu Ji, View ORCID ProfileDouglas W.
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