2021
DOI: 10.1016/j.scitotenv.2020.142548
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Chinese caterpillar fungus (Ophiocordyceps sinensis) in China: Current distribution, trading, and futures under climate change and overexploitation

Abstract: Chinese caterpillar fungus ( Ophiocordyceps sinensis ) is a precious traditional medicine which is mostly distributed on the Qinghai-Tibetan Plateau (QTP). Due to its medicinal values, it has become one of the most valuable biological commodities and widely traded in recent years worldwide. However, its habitat has changed profoundly in recent years under global warming as well as anthropogenic pressures, resulting in a sharp decline in its wild population in recent years. Based on the o… Show more

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Cited by 66 publications
(35 citation statements)
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“…Since temperature is one critical factor in determining the distribution of M. punicea , an increase in temperature might trigger a habitat shift from a lower elevation to a higher elevation. According to the trend of precipitation, the climate of Qinghai-Tibet Plateau will become warmer and drier in future ( Wei et al, 2021 ), which may intensify the vulnerability of M. punicea to the new climate regime.…”
Section: Discussionmentioning
confidence: 99%
“…Since temperature is one critical factor in determining the distribution of M. punicea , an increase in temperature might trigger a habitat shift from a lower elevation to a higher elevation. According to the trend of precipitation, the climate of Qinghai-Tibet Plateau will become warmer and drier in future ( Wei et al, 2021 ), which may intensify the vulnerability of M. punicea to the new climate regime.…”
Section: Discussionmentioning
confidence: 99%
“…However, previous studies often neglected the optimization of model parameters, or involved inadequate optimization, which could affect the accuracy of the predictive model (Li et al, 2020; Yan, Feng, Zhao, Feng, Wu, et al, 2020; Yan, Feng, Zhao, Feng, Zhu, et al, 2020). Previous studies revealed that the quality control of species occurrence points, screening of environment variables, selection of GCMs and SSPs, threshold selection, and the optimization of RM and FC all had significant effects on the predictive results of the model (Wei et al, 2021; Yang et al, 2021; Ye et al, 2020; Zeng et al, 2016). For this study, these parameters were systematically optimized so as to ensure predictive accuracy to the maximum extent.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the research of Tang et al (2020) and Wei Y. et al (2021), the habitat suitability of LULC types and their sensitivity to various threat factors on the QTP are obtained, shown in Table 3 (Tang et al, 2020;Wei Y. et al, 2021).…”
Section: Habitat Quality Modelmentioning
confidence: 99%