Kaiyuan Li’s research while affiliated with Northwest A&F University and other places

Picea neoveitchii Mast., an endemic and rare species in China, classified as Critically Endangered (CR) in the IUCN Red List of Threatened Species, possesses significant research value due to its unique biological characteristics that contribute to plant taxonomy and the conservation of the genus Picea . Despite its excellent timber quality and high ornamental value, it has not been widely used and well protected. This study employed the MaxEnt modeling approach, incorporating field survey data on species distribution and species distribution data collected online, along with climatic and environmental data sourced from IPCC reports and climate databases. It assessed the current and future distribution ranges, influential variables, and conservation status of P. neoveitchii . The results indicate that Minimum Temperature of the Coldest Month, Annual Precipitation, Temperature Seasonality, and Altitude are the key factors influencing the distribution of P. neoveitchii . Across all future climate scenarios, the suitable habitat for P. neoveitchii consistently exhibits a trend of shifting northwestwards. Under SSP2-4.5, SSP5-5.8 scenario, the suitable area decreases in all periods. Under SSP1-2.6 scenario, the suitable area decreases, except the period from 2080 to 2,100, which sightly increases. Notably, the proportion of habitat within natural reserves increased. To conserve P. neoveitchii , it is necessary to adopt in-situ and ex-situ conservation measures, conserve germplasm resources through seed banking and tissue culture, and implement strict enclosure policies to minimize human disturbance and promote natural regeneration. These findings highlight the need for targeted conservation measures to address the ongoing threat to this species.

Picea neoveitchii Mast. is a rare and threatened species of evergreen coniferous tree in China, commonly facing issues such as damaged seeds, abnormal seed growth, and empty seed shells. These abnormalities vary by location; unfortunately, the reasons behind these inconsistencies are completely unknown. This study compared seeds from two 150-year-old trees located in Taibai (Shaanxi province, TB150) and Zhouqu (Gansu province, ZQ150). The results showed significant differences in 43 metabolites and hormone levels, with higher levels of indole-3-acetic acid (IAA), methyl jasmonate (MeJA), and brassinosteroid (BR) in ZQ150, which were associated with more viable seeds. In contrast, TB150 exhibited more damaged seeds and empty seed shells due to higher abscisic acid (ABA) levels. Moreover, to further investigate these inconsistencies, we performed de-novo transcriptomic assembly and functional annotation of unigenes using high-throughput sequencing. A total of 2,355 differentially expressed unigenes were identified between TB150 and ZQ150, with 1,280 upregulated and 1,075 downregulated. Hormone signaling and sugar metabolism-related unigenes were further examined for their role in seed development. ZQ150 increased the number of normal seeds by enhancing endogenous IAA levels and upregulating auxin signaling and sugar metabolism-related genes. Conversely, TB150 showed more empty seed shells, correlated with elevated ABA levels and the activation of ABA signaling genes. We hypothesize that enhanced IAA levels and the upregulation of sugar metabolism and auxin signaling genes promote normal seed development.

Picea neoveitchii Mast., an endemic and rare species in China, classified as Critically Endangered (CR) in the IUCN Red List of Threatened Species, holds significant research value due to its unique biological characteristics, which are crucial for plant taxonomy and the conservation of the genus Picea. Despite its excellent timber quality and high ornamental value, it has not been widely used and well protected. In this scientific investigation, MaxEnt modeling was employed to assess the optimal distribution range, influential variables, and the current conservation posture of P. neoveitchii, along with projections into potential future climatic contexts. This approach provides a rigorous scientific foundation upon which conservation strategies can be formulated and refined. During the research process, we enhanced the prediction accuracy of the model by conducting field surveys on species distribution, eliminating redundant distribution data, and removing some environmental data with high correlation coefficients. The results indicate that Minimum Temperature of the Coldest Month, Annual Precipitation, Temperature Seasonality, and Altitude are the key factors influencing the distribution of P. neoveitchii. Under different climate scenarios, the suitable area of P. neoveitchii shifts northwestward. Under SSP2-4.5、ssp5-5.8 scenario, the suitable area decreases in all periods. Under SSP1-2.6 scenario, the suitable area decreases, except the period from 2080 to 2100, which sightly increases. The proportion of habitat within natural reserves increases. These findings are of great significance for conservation strategies and provide valuable references for future forest management and protection efforts.

Urban parks, as an important component of urban green spaces, play a crucial role in improving the urban environment and enhancing residents' quality of life. This review summarizes the main content and research progress of urban park microclimate studies through analysis and synthesis of relevant literature from academic databases such as Web of Science and Google Scholar. Using Citespace or VOSviewer for bibliometric analysis, we found that the number of academic papers on the urban park microclimate has been growing year by year. The research content primarily covers the monitoring and analysis of temperature, humidity, wind speed, and other indicators in urban parks, as well as the impact of park design and planning on the microclimate. Keyword analysis revealed that researchers have mainly focused on the cooling effects of the urban park microclimate, mitigation of the urban heat island effect, and improvement of air quality. In terms of research methods, a combination of field observations and simulation models is commonly employed, with data being analyzed and validated using mathematical and statistical methods. The research results indicate that well-designed and planned parks can significantly improve the microclimate environment, reduce temperatures, and provide comfortable climatic conditions in urban areas. Additionally, vegetation arrangements and water features in urban parks also contribute to microclimate regulation. Moreover, windbreak measures and cooling strategies in parks can help alleviate the urban heat island effect, enhance air quality, and promote the health of ecosystems. However, this review also identified some issues in urban park microclimate research, including limitations in research scope, methods, and practical applicability. Future studies could deepen the comprehensive understanding of the urban park microclimate and explore more effective strategies for park design and planning to optimize and enhance the microclimate environment. It is also important for researchers to continuously innovate in terms of research methods and verify the feasibility of practical applications to better address the challenges of urban development.

In the past few years, deciduous landscape conservation has become a trend in China; however, the theoretical support is still limited, and the impact of demographic characteristics on people’s attitude toward deciduous landscape still needs to be explained. This study aimed at exploring the differences among demographic groups through Likert scale questionnaires of 981 respondents. The results show that of all characteristics, only age has a significant influence on deciduous landscape preference. However, there is a paradox for elderly people: they have the highest preference for deciduous landscape and the lowest intention to keep deciduous landscape in their lives at the same time. Moreover, the elderly tend to care about the underlying surface of deciduous landscape while the reliable predictor for other age groups is the color of fallen leaves. These findings can be useful for practical applications, which might guide future development of deciduous landscape planning and maintenance.