Climate change affects the species spatio‐temporal distribution deeply. However, how climate affects the spatio‐temporal distribution pattern of related species on the large scale remains largely unclear. Here, we selected two closely related species in Taxus genus Taxus chinensis and Taxus mairei to explore their distribution pattern. Four environmental variables were employed to simulate the distribution patterns using the optimized Maxent model. The results showed that the highly suitable area of T. chinensis and T. mairei in current period was 1.616 × 105 km2 and 3.093 × 105 km2, respectively. The distribution area of T. chinensis was smaller than that of T. mairei in different periods. Comparison of different periods shown that the distribution area of the two species was almost in stasis from LIG to the future periods. Temperature and precipitation were the main climate factors that determined the potential distribution of the two species. The centroids of T. chinensis and T. mairei were in Sichuan and Hunan provinces in current period, respectively. In the future, the centroid migration direction of the two species would shift towards northeast. Our results revealed that the average elevation distribution of T. chinensis was higher than that of T. mairei. This study sheds new insights into the habitat preference and limiting environment factors of the two related species and provides a valuable reference for the conservation of these two threatened species.

Climate change affects the species spatio-temporal distribution deeply. However, how climate affects the spatio-temporal distribution pattern of related species on the large scale remains largely unclear. Here, we selected two closely related species in Taxus genus Taxus chinensis and Taxus mairei to explore their distribution pattern. Four environmental variables were employed to simulate the distribution patterns using the optimized Maxent model. The results showed that the highly suitable area of T. chinensis and T. mairei in current period was 1.964×105km2 and 3.074×105km2, respectively. The distribution area of T. chinensis was smaller than that of T. mairei in different periods. Temperature and precipitation were the main climate factors that determined the potential distribution of the two species. The centroids of T. chinensis and T. mairei were in Sichuan and Hunan province in current period, respectively. In the future, the centroid migration direction of two species was almost opposite. T. chinensis would shift towards southwest, while T. mairei towards northeast. Our results revealed that the average elevation distribution of T. chinensis was higher than that of T. mairei. This study sheds new insights into the habitat preference and limiting environment factors of the two related species and provides a valuable reference for the conservation of these two endangered species.

No abstract

This research aimed to reveal the response characteristics of soil microbial community structure to different degrees of tourism disturbance. To explore the soil microbial community structure’s response mechanism, we set up continuous plots with different interference intensities: high disturbance, middle disturbance, and the control area. We collected 0–10 cm topsoil in all plots and used Illumina MiSeq high-throughput sequencing method to obtain and analyze the response characteristics of soil microbial community composition and structure under different tourism disturbances. These results were then combined with alpha diversity and environmental factors to explore the microbial response mechanism. In the tested soil, Acidobacteria, Chlorocurve, and Proteobacteria were the main bacterial phyla, while Basidiomycota and Ascomycota were the main fungal phyla. Based on the phylum, the relative abundance of the microbial community between the interference groups was compared using a significance test, with significant differences found between the interference groups in the phyla Chloroflexus, GAL15, Rokubacteria, and Blastomonas (p < 0.05). The relative abundance of the dominant phyla in the fungal community was significantly different among the groups (p < 0.05). A principal component analysis of the soil microbial community structure suggested that the soil microbial community structure was significantly different for different interference levels.