Mei Shen's research while affiliated with Chinese Research Academy of Environmental Sciences and other places
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Publications (2)
Fish diversity, an important indicator of the health of aquatic ecosystems, is declining sharply due to water pollution, overfishing, climate change, and species invasion. For protecting fish diversity, effective surveying and monitoring are prerequisites. In this study, eDNA (environmental DNA) metabarcoding and ground cages were used to survey th...
Random forest (RF) and MaxEnt models are shallow machine learning approaches that perform well in predicting species' potential distributions. RF models can produce robust results with the default automatic configuration in most cases, but it is necessary for MaxEnt to optimize the model settings to improve the performance, and the predictive perfo...
Citations
... However, it wasn't until the early 2000s that researchers started using eDNA to evaluate macroorganisms. The first use of eDNA to macroorganisms was to determine the diversity of mammals, birds, and plants in ancient sediments (Ragot and Villemur, 2022;Ariza et al., 2022;Mei et al., 2022;Pennisi, 2022). eDNA has the ability to detect aquatic creatures, as demonstrated by the discovery of an invasive amphibian (the American bullfrog, Rana catesbeiana) in freshwater samples (Lin et al., 2019). ...
... There are more than 10 species distribution models (SDMs) that have been reported, but the MaxEnt model is low cost, simple to operate, short to run, and can simulate the fitness range of species well with a very small number of samples (n ≥ 5) [5]. At present, it is also widely used in the prediction research of amphibian habitats, such as Odrrana hainanensis [2], and five species of Scutiger [6], and others such as Rana Zhenhaiensis [7], Buergeria oxycephala [8], Nanorana parkeri [9], Plethodon [10], and Quasipaa boulengeri [11], and so on. ...
