Assessing the impacts of climate change and habitat suitability on the distribution and quality of medicinal plant using multiple information integration: Take Gentiana rigescens as an example

Shen, Tao; Yu, Hong; Wang, Yuanzhong

doi:10.1016/j.ecolind.2021.107376

Cited by 57 publications

(30 citation statements)

References 70 publications

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“…(2018) reported that a continuous rising‐temperature might decrease the suitable habitat of Paeonia delavayi which lives in the southwest mountain region of China. Climate change also might affect the G. rigescens in the southwest of China, making habitat moving to higher elevation (Shen et al., 2021). More than 1,000 woody plants have suffered from the rapid colonization of Paeonia delavayi and the G. rigescens in Yunnan and other south provinces in recent decades (Zhang et al., 2014).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

The Effects of Climate Change on Chinese Medicinal Yam Over North China Under the High‐Resolution PRECIS Projection

Fan

Jiang

Tian

et al. 2021

Earth and Space Science

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Section: Conclusion and Discussionmentioning

confidence: 99%

The Effects of Climate Change on Chinese Medicinal Yam Over North China Under the High‐Resolution PRECIS Projection

Fan

Jiang

Tian

et al. 2021

Earth and Space Science

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“…Raster data were reclassified according to habitat suitability index (HSI). The suitability was divided into four categories according to the difference of suitability index: high suitability (HIS ≥ 0.6), moderate suitability (0.4 ≤ HIS < 0.6), low suitability (0.2 ≤ HIS < 0.4), and no suitability (HIS < 0.2) (Shen et al, 2021 ). The areas of various suitable habitat were calculated by Zonal Statistics of ArcGIS.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Ecological Suitability and Quality Suitability of Panax notoginseng Under Multi-Regionalization Modeling Theory

Yue

Zuo

et al. 2022

Front. Plant Sci.

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Panax notoginseng is an important medicinal plant in China, but there are some limitations in the ecological suitability study, such as incomplete investigation of species distribution, single regionalization modeling, and lack of collaborative evaluation of ecological suitability, and quality suitability. In this study, the maximum entropy model was used to analyze the ecological suitability of P. notoginseng under current and future climates. The multi-source chemical information of samples was collected to evaluate the uniformity between quality and ecology. The results showed that the current suitable habitat was mainly in southwest China. In the future climate scenarios, the high suitable habitat will be severely degraded. Modeling based on different regionalization could predict larger suitable habitat areas. The samples in the high suitable habitat had both quality suitability and ecological suitability, and the accumulation of chemical components had different responses to different environmental factors. Two-dimensional correlation spectroscopy combined with deep learning could achieve rapid identification of samples from different suitable habitats. In conclusion, global warming is not conducive to the distribution and spread of P. notoginseng. The high suitable habitat was conducive to the cultivation of high-quality medicinal materials. Actual regionalization modeling had more guiding significance for the selection of suitable habitats in a small area. The multi-regionalization modeling theory proposed in this study could provide a new perspective for the ecological suitability study of similar medicinal plants. The results provided a reference for the introduction and cultivation, and lay the foundation for the scientific and standardized production of high-quality P. notoginseng.

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“…In ArcGIS 10.0 software, the output files in .ASC format were converted to raster data and reclassified according to habitat suitability index (HSI). Divided into four categories, high suitability (HIS ≥ 0.6), moderate suitability (0.4 ≤ HIS < 0.6), low suitability (0.2 ≤ HIS < 0.4), and no suitability (HIS < 0.2) 14 …”

Section: Methodsmentioning

confidence: 99%

“…Among them, environment factors have a unique charm in depicting the potential distribution of species of great value. Maximum entropy (MaxEnt) model combined with environment factors can describe the potential distribution of species, combined with chemical information can better evaluate the potential impact of environment on species quality 14 . Exploring the impact of environment factors on the chemical information of boletes has a positive significance for the development of wild resources.…”

Section: Introductionmentioning

confidence: 99%

ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution

Chen

Liu

et al. 2022

Journal of Chemometrics

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Yunnan is known for its rich biodiversity and is known as the Wild Mushroom Kingdom. Boletes are a world-renowned wild edible mushroom, with unique sensory characteristics, nutritional value and medicinal value extraordinary.However, the species and geographical origin of boletes influence their price and quality. In this study, a method was developed to identify species and geographical origin simultaneously. Therefore, Fourier transform near-infrared (FT-NIR) data sets of boletes were collected and converted to two-dimensional correlation spectroscopy (2D-COS). On this basis, the species and geographic origins of boletes were identified using Residual neural network (ResNet) image analysis model. The results showed that FT-NIR could identify boletes species and geographical origins, 7000-4000 cm À1 band was more suitable for species identification, 7000-5300 cm À1 band was more suitable for geographical origins identification. In addition, the environmental factors with high contribution to the distribution of boletes were screened based on the maximum entropy (MaxEnt) model. This allows characterization of the potential geographic distribution of boletes. The results showed that precipitation factors played a vital role in its distribution and might even be responsible for the difference in chemical composition.

show abstract

Assessing the impacts of climate change and habitat suitability on the distribution and quality of medicinal plant using multiple information integration: Take Gentiana rigescens as an example

Cited by 57 publications

References 70 publications

The Effects of Climate Change on Chinese Medicinal Yam Over North China Under the High‐Resolution PRECIS Projection

The Effects of Climate Change on Chinese Medicinal Yam Over North China Under the High‐Resolution PRECIS Projection

Evaluation of Ecological Suitability and Quality Suitability of Panax notoginseng Under Multi-Regionalization Modeling Theory

ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution

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