Geographic distribution and impacts of climate change on the suitable habitats of Glycyrrhiza species in China

Huang, Shiyuan; Zhang, Wenchao; Hong, Zhengyi; Yuan, Yanghe; Tan, Zekai; Wang, Ying; Chen, Zhuoyu; Zheng, Jiahui; Zhang, Zheng; Zhang, Lanyue; Chen, Min

doi:10.1007/s11356-023-26232-w

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Currently, the Tulipa iliensis is a second-level protected plant in China, the protection of Tulipa iliensis has been strengthened to reduce damage. Additionally, artificial cultivation bases can be established in the Xinjiang area for Tulipa iliensis; other suitable areas for the plant can also be selected for introduction and cultivation, such as Southern Tibet, Qinghai, Gansu, Northeast, Shanxi, and other areas in China [69]; Establishing protected areas in Xinjiang with on-site protection is an effective way to preserve the natural habitat in areas with less human activity [70,71]; at the same time, a tulip germplasm resource bank should be established to preserve the genetic diversity of Tulipa iliensis in fragmented habitats.…”

Section: Tulipa Iliensis Natural Population Conservation Strategymentioning

confidence: 99%

Potentially Suitable Area and Change Trends of <i>Tulipa iliensis</i> under Climate Change

Qin,

Liu,

Tian

et al. 2024

Phyton

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Tulipa iliensis, as a wild plant resource, possesses high ornamental value and can provide abundant parental materials for tulip breeding. The objective of this research was to forecast the worldwide geographical spread of Tulipa iliensis by considering bioclimatic, soil, and topographic variables, the findings of this research can act as a benchmark for the conservation, management, and utilization of Tulipa iliensis as a wild plant resource. Research results indicate that all 12 models have an area under curve (AUC) of the receiver operating characteristic curve (ROC) values greater than 0.968 for the paleoclimatic, current, and future climate scenarios, this suggests an exceptionally high level of predictive accuracy for the models. The distribution of Tulipa iliensis is influenced by several key factors. These factors include the mean temperature of the driest quarter (Bio9), calcium carbonate content (T_CACO 3 ), slope, precipitation of the driest month (Bio14), Basic saturation (T_BS), and precipitation of the coldest quarter (Bio19). During the three paleoclimate climate scenarios, the appropriate habitats for Tulipa iliensis showed a pattern of expansion-contraction expansion. Furthermore, the total suitable area accounted for 13.38%, 12.28%, and 13.28% of the mainland area, respectively. According to the current climate scenario, the High-suitability area covers 61.78472 × 10 4 km 2 , which accounts for 6.57% of the total suitable area, The Midsuitability area covers 190.0938 × 10 4 km 2 , accounting for 20.2% of the total suitable area, this represents a decrease of 63.53%~67.13% compared to the suitable area of Tulipa iliensis under the paleoclimate scenario. Under the Shared Socioeconomic Pathways (SSP) scenarios, in 2050 and 2090, Tulipa iliensis is projected to experience a decrease in the High, Mid, and Low-suitability areas under the SSP126 climate scenario by 7.10% ~12.96%, 2.96%~4.27% and 4.80%~7.96%, respectively. According to the SSP245 scenario, the high suitability area experienced a slight expansion of 2.26% in 2050, but a reduction of 6.32% in 2090. In the SSP370 scenario, the High-suitability areas had a larger reduction rate of 11.24% in 2050, while the Mid-suitability and Low-suitability areas had smaller expansion rates of 0.36% and 4.86%, respectively. In 2090, the High-suitability area decreased by 4.84%, while the Mid and Low-suitability areas experienced significant expansions of 15.73% and 45.89%, respectively. According to the SSP585 scenario, in the future, the High, Mid, and Low-suitability areas are projected to increase by 5.09%~7.21%, 7.57%~17.66%, and 12.30%~48.98%, respectively. The research offers enhanced theoretical direction for preserving Tulipa iliensis' genetic variety amidst evolving climatic scenarios.

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Section: Tulipa Iliensis Natural Population Conservation Strategymentioning

confidence: 99%

Potentially Suitable Area and Change Trends of <i>Tulipa iliensis</i> under Climate Change

Qin,

Liu,

Tian

et al. 2024

Phyton

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“…In recent years, various modeling methods such as the Maximum Entropy (MaxEnt) (Huang et al., 2023 ) Model, Maximum Likelihood (MaxLike) Model (Merow & Silander, 2014 ), and Generalized Additive Model (GAM) (Chan‐Espinoza et al., 2024 ), combined with spatial analysis techniques for geographic information, have been extensively utilized to forecast the influence of climate on species' potential habitats. Modern research has shown that the MaxEnt model performs better among the various species distribution models (Elith et al., 2006 ; Gao et al., 2020 ; Reddy et al., 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Predicting the distribution of potentially suitable habitat in China for Cirsium japonicum Fisch. ex DC. under future climate scenarios based on the R‐optimized MaxEnt model

Fang,

Jiang,

Chen

et al. 2024

Ecology and Evolution

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Cirsium japonicum contains a variety of medicinal components with good clinical efficacy. With the rapid changes in global climate, it is increasingly important to study the distribution of species habitats and the factors influencing their adaptability. Utilizing the MaxEnt model, we forecasted the present and future distribution regions of suitable habitats for C. japonicum under various climate scenarios. The outcome showed that under the current climate, the total suitable area of C. japonicum is 2,303,624 km2 and the highly suitable area is 79,117 km2. The distribution of C. japonicum is significantly influenced by key environmental factors such as temperature annual range, precipitation of the driest month, and precipitation of the wettest month. In light of future climate change, the suitable habitat for C. japonicum is anticipated to progressively relocate toward the western and northern regions, leading to an expansion in the total suitable area. These findings offer valuable insights into the conservation, sustainable utilization, and standardized cultivation of wild C. japonicum resources.

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Geographical distribution and potential distribution prediction of thirteen species of Citrus L. in China

Huang,

Li,

Yao

et al. 2023

Environ Sci Pollut Res

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Geographic distribution and impacts of climate change on the suitable habitats of Glycyrrhiza species in China

Cited by 4 publications

References 18 publications

Potentially Suitable Area and Change Trends of <i>Tulipa iliensis</i> under Climate Change

Potentially Suitable Area and Change Trends of <i>Tulipa iliensis</i> under Climate Change

Predicting the distribution of potentially suitable habitat in China for Cirsium japonicum Fisch. ex DC. under future climate scenarios based on the R‐optimized MaxEnt model

Geographical distribution and potential distribution prediction of thirteen species of Citrus L. in China

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