Junjie Yue

Dr. Junjie Yue

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 March 2024 in Plants
Verified
Journal Article
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Huayong ZhangHuayong Zhang
Huayong Zhang
YWYanan Wei
Yanan Wei
JYJunjie Yue
Junjie Yue
ZWZhongyu Wang
Zhongyu Wang
HZHengchao Zou
Hengchao Zou
ZLZhao Liu
Zhao Liu
Cupressus gigantea (C. gigantea) is an endemic endangered species on the Tibetan Plateau; its potential suitable areas and priority protection in the context of global climate change remain poorly predicted. This study utilized Biomod2 and Marxan to assess the potential suitable areas and priority protection for C. gigantea. Our study revealed that the suitable areas of C. gigantea were concentrated in the southeastern Tibetan Plateau, with the center in Lang County. Temperature was identified as a crucial environmental factor influencing the distribution of C. gigantea. Over the coming decades, the suitable range of C. gigantea expanded modestly, while its overall distribution remained relatively stable. Moreover, the center of the highly suitable areas tended to migrate towards Milin County in the northeast. Presently, significant areas for improvement are needed to establish protected areas for C. gigantea. The most feasible priority protected areas were located between the Lang and Milin counties in Tibet, which have more concentrated and undisturbed habitats. These results provide scientific guidance for the conservation and planning of C. gigantea, contributing to the stability and sustainability of ecosystems.

21 May 2023 in Forests
Verified
Journal Article
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XAXiu An
Xiu An
THTousheng Huang
Tousheng Huang
Huayong ZhangHuayong Zhang
Huayong Zhang
JYJunjie Yue
Junjie Yue
BZBingjian Zhao
Bingjian Zhao
How climate change affects the plants on the Qinghai-Tibet Plateau (QTP) has become a hot research topic in recent years. It was widely recognized that Larix. are sensitive to climate change, while the corresponding research of Larix. on the QTP has been rare. Using the maximum entropy (MaxEnt) model, we predicted the potential distribution patterns of Larix potaninii Batalin, Larix griffithii and Larix speciosa on the QTP in this study under different future climate scenarios. The results demonstrated that the area of suitable habitat for Larix potaninii Batalin (Larix griffithii) presented a loss (gain) trend, while that for Larix speciosa remained unchanged on the whole. The centroids of their suitable habits all migrated to the high-altitude and high-latitude areas, suggesting the three species may take the same survival strategy in response to climate change. Annual Precipitation was the most significant environmental factor influencing the distribution pattern of Larix potaninii Batalin, while Temperature Annual Range was the most significant for Larix griffithii and Larix speciosa. The overlapping potential suitable area for the three Larix species was the maximum under the 2041–2060 SSP126 future climate scenarios and decreased with the increasing emission concentration, suggesting that the niches of these species may step towards separation. This study suggested the survival strategies of the Larix species in response to climate change and the findings may provide a reliable basis for conserving the endangered Larix species under different future climate scenarios.

20 February 2023 in Forests
Verified
Journal Article
Open access
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Huayong ZhangHuayong Zhang
Huayong Zhang
BZBingjian Zhao
Bingjian Zhao
THTousheng Huang
Tousheng Huang
HCHao Chen
Hao Chen
JYJunjie Yue
Junjie Yue
YTYonglan Tian
Yonglan Tian
Predicting the suitable habitat of plants under climate change has become a trending research topic in recent years. Juniperus tibetica Komarov (Cupressales: Cupressaceae) is a unique and vulnerable species on the Qinghai–Tibet Plateau (QTP) and the highest timberline in the Northern Hemisphere. The prediction of the suitable habitat of J. tibetica will be beneficial for understanding the ecosystem of the QTP. In the present study, variations in the distribution pattern of the suitable habitats (DPSH) of J. tibetica on the QTP were investigated by MaxEnt and GIS spatial analysis based on 288 distribution records and 8 environmental factors. The environmentally abnormal areas and environmental factors determining the DPSH along with climate change were analyzed, and the most suitable climate models were evaluated. The results show that the suitable habitat of J. tibetica will migrate to higher-elevation and -latitude areas in the future. Precipitation was the most important factor affecting current suitable habitats and limiting future ones, followed by temperature. By comparing the integrality of suitable habitat under different climate models, it was suggested that the HadGEM2-ES (RCP2.6) and BCC-CSM1.1 (RCP8.5) climate models were the best for predicting the DPSH of J. tibetica. This study revealed the response of the suitable habitat of J. tibetica relative to climate change at a large scale and provides a theoretical basis for the scientific management and conservation of J. tibetica resources on the QTP.

14 July 2023 in Sustainability
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Journal Article
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Huayong ZhangHuayong Zhang
Huayong Zhang
SZShuang Zheng
Shuang Zheng
THTousheng Huang
Tousheng Huang
JLJiangnan Liu
Jiangnan Liu
JYJunjie Yue
Junjie Yue
Climate change has a significant impact on species distribution, especially for the relict plants. Euptelea pleiosperma is a type of tertiary relict plant. This plant shows a decreasing trend in population size, and it is on the edge of extinction given the background of climate change. Understanding the change in suitable habitats of E. pleiosperma will provide significant academic value for investigating species conservation and sustainable development. According to the 236 distribution records of E. pleiosperma in China, and 11 environmental factors, the optimal model was selected from MaxEnt, BIOCLIM, and DOMAIN models, aiming to estimate the future potential suitable habitats and exploring the major environmental factors influencing the distribution of E. pleiosperma. By comparison, the BIOCLIM model was the optimal for estimation, since it achieved the highest precision and the lowest standard error. Our results demonstrated that temperature was the most important factor affecting the suitable habitats of E. pleiosperma, followed by precipitation and altitude. Under the medium- and high-emission scenarios, the future suitable habitats of E. pleiosperma will migrate northward to the high-latitude areas, whereas those under the low-emission scenario will migrate southward to the low-latitude areas. During 2041–2060, the suitable habitat areas will present a positive trend, while those during 2081–2100 will exhibit a negative trend to varying degrees. Consistent with the above results, it is advisable to establish natural reserves and seed resource banks of E. pleiosperma in the current high suitability areas, as well as to provide artificial assistance to guide its migration to the high suitability areas under the future climate scenarios. The findings in this research not only reveal the response of suitable habitats of E. pleiosperma to climate change but also lay a reliable foundation for its population resource conservation and sustainable development.


9 December 2025 in Forests
Verified
Journal Article
Open access
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JYJunjie Yue
Junjie Yue
Huayong ZhangHuayong Zhang
Huayong Zhang
XXXiangyi Xue
Xiangyi Xue
Unraveling large-scale species richness patterns and drivers is central to ecology. While climate, soil, topography, and human activities are widely recognized as key drivers, their relative contributions to Pinus L. diversity (especially in Europe) remain inconclusive due to scale dependence and methodological variations. This study integrates distribution data for 17 European Pinus species along with climatic, soil, topographic, and anthropogenic variables and employs Random Forest and Structural Equation Modeling to analyze spatial patterns of overall, wide-ranged, and narrow-ranged species richness, quantifying factor importance and driving pathways. Additionally, diversity hotspots were identified using the complementarity algorithm and top 5% richness methods. Results indicate higher species richness in topographically complex western Europe. Climatic seasonality emerges as the primary direct driver of overall and wide-ranged species richness. Human activities exert strong positive direct effects on all species groups and produce substantial indirect effects by altering the environment, with a relatively prominent influence on narrow-ranged species richness patterns. Although existing European Pinus hotspots are generally well-protected, conservation gaps in southwestern Europe necessitate targeted strategies. This study elucidates the regulatory mechanisms of Pinus species richness patterns across different distribution ranges, highlighting the need for differentiated conservation under ongoing climate change and anthropogenic pressures.