The potential effects of future climate change on suitable habitat for the Taiwan partridge (Arborophila crudigularis): an ensemble-based forecasting method

Lei, Juncheng; Wu, Jun; Guan, Qingwei

doi:10.3906/zoo-1512-42

Cited by 2 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SDM model performance was assessed with the true skill statistic (TSS), Cohen's kappa statistic (Kappa), and the area under the receiver operating characteristic curve (AUC) [39][40][41]. The above three metrics are the most highly applied in assessing the performance of SDMs [17,42]. The TSS and Kappa values range from −1 to 1, and the AUC value ranges from 0.5 to 1; the closer their value is to 1, the more reliable the prediction results are [40,41].…”

Section: Modelling Proceduresmentioning

confidence: 99%

“…Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates, and the main assumption is that species are at equilibrium with their environments [14]. SDMs are considered a powerful tool to predict the impacts of climate change on a species' distribution [15][16][17] and are typically used to assess the introduction and cultivation of plants [18], the potential threat of pests [19], and the natural preservation of endangered species [20]. For example, Danping Xu et al, analysed the climate suitability of Zanthoxylum armatum DC.…”

Section: Introductionmentioning

confidence: 99%

“…Guangxi;17 Guangdong;18 Jiangxi;19 Fujian; 20 Anhui; 21 Zhejiang; 22 Jiangsu; 23 Shandong; 24 Hebei;25 Liaoning;26 Jilin;27 Heilongjiang.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Modelling the Effects of Climate Change on the Distribution of Endangered Cypripedium japonicum in China

Huang

Hong-yan

et al. 2021

Forests

View full text Add to dashboard Cite

Cypripedium japonicum is an endangered terrestrial orchid species with high ornamental and medicinal value. As global warming continues to intensify, the survival of C. japonicum will be further challenged. Understanding the impact of climate change on its potential distribution is of great significance to conserve this species. In this study, we established an ensemble species distribution model based on occurrence records of C. japonicum and 13 environmental variables to predict its potential distribution under current and future climatic conditions. The results show that the true skill statistic (TSS), Cohen’s kappa statistic (Kappa), and the area under the receiver operating characteristic curve (AUC) values of the ensemble model were 0.968, 0.906, and 0.995, respectively, providing more robust predictions. The key environmental variables affecting the distribution of C. japonicum were the precipitation in the warmest quarter (Bio18) and the mean temperature in the driest quarter (Bio9). Under future climatic conditions, the total suitable habitat of C. japonicum will increase slightly and tend to migrate northwestward, but the highly suitable areas will be severely lost. By 2070, the loss of its highly suitable habitat area will reach 57.69–72.24% under representative concentration pathway (RCP) 4.5 and 8.5 respectively, and the highly suitable habitats in Zhejiang and Anhui will almost disappear. It is noteworthy that the highly suitable habitat of C. japonicum has never crossed the Qinba mountainous area during the migration process of the suitable habitat to the northwest. Meanwhile, as the best-preserved area of highly suitable habitat for C. japonicum in the future, the Qinba mountainous area is of great significance to protect the wild germplasm resources of C. japonicum. In addition, we found that most of the changes predicted for 2070 will already be seen in 2050; the problem of climate change may be more urgent than it is believed.

show abstract

Section: Modelling Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the Effects of Climate Change on the Distribution of Endangered Cypripedium japonicum in China

Huang

Hong-yan

et al. 2021

Forests

View full text Add to dashboard Cite

show abstract

“…Unlike mammillaria, partridge embryo can be easily studied and manipulated as they monitor by removing a small section of the eggshell. This has made it possible to follow their developmental stages via time-lapsed video-microscopy [24][25][26][27][28] . Therefore, we chose the chukar partridge and embryonated partridge egg so that they could be used as laboratory models in areas that are easy to access.…”

mentioning

confidence: 99%

Partridge and embryonated partridge egg as new preclinical models for candidiasis

Tavakkoli

Khosravi

Sharifi

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Candida albicans (C. albicans) is the most common cause of candidiasis in humans and animals. This study was established to a new experimental infection model for systemic candidiasis using partridge and embryonated partridge egg. First, we tested the induction of systemic candidiasis in partridge and embryonated partridge egg. Finally, interaction between virulence factors of C. albicans and Bcl-2 family members was predicted. We observed that embryonic infection causes a decrease in survival time and at later embryonic days (11–12th), embryos showed lesions. Morphometric analysis of the extra-embryonic membrane (EEM) vasculature showed that vascular apoptotic effect of C. albicans was revealed by a significant reduction in capillary area. In immunohistochemistry assay, low expression of Bcl-2 and increased expression of Bax confirmed apoptosis. The gene expression of Bax and Bcl-2 was also altered in fungi-exposed EEM. Ourin silico simulation has shown an accurate interaction between aspartic proteinase, polyamine oxidase, Bcl-2 and BAX. We observed that the disease was associated with adverse consequences, which were similar to human candidiasis. Acquired results support the idea that partridge and embryonated partridge egg can be utilized as appropriate preclinical models to investigate the pathological effects of candidiasis.

show abstract

The potential effects of future climate change on suitable habitat for the Taiwan partridge (Arborophila crudigularis): an ensemble-based forecasting method

Cited by 2 publications

References 28 publications

Modelling the Effects of Climate Change on the Distribution of Endangered Cypripedium japonicum in China

Modelling the Effects of Climate Change on the Distribution of Endangered Cypripedium japonicum in China

Partridge and embryonated partridge egg as new preclinical models for candidiasis

Contact Info

Product

Resources

About