The Posongchong Flora is an important window for understanding early vascular plant evolution. During a recent investigation of the Feigucun Section in the Bainiuchang area, Southeastern Yunnan, the author’s team discovered a large number of plant fossils from the Posongchong Formation of the Pragian Stage, Lower Devonian Series. Among the fossils collected in this investigation, there are six morphologically distinct drepanophycalean fossils, characterized by irregular dichotomous branching forming clustered stems, with the surface of the stems densely covered with spirally arranged falcate leaves. After comparing with coeval plant fossil records, it was found that the above characteristics are consistent with the generic characteristics of Hueberia fossils found in the Posongchong flora, indicating that these specimens should be assigned to the genus Hueberia. The team compared the newly discovered Hueberia fossils with the previously described Hueberia zhichangensis. The comparison revealed that the Hueberia specimens collected in the Bainiuchang area have thicker stems, longer intervals between successive branchings, and certain differences in leaf morphology from Hueberia zhichangensis. Therefore, the team considers that there are significant differences between it and Hueberia zhichangensis in morphology, geographical distribution, and other aspects, and there is sufficient reason to erect a new species, Hueberia bainiuchangensis sp. nov. The discovery of this species enriches our understanding of the species diversity of the genus Hueberia, expands the geographical distribution range of the Posongchong Flora, further corroborates that the Southeastern Yunnan region had extremely high biodiversity during the Pragian Age of the Early Devonian, and provides new clues for the study of Early Devonian plant evolution.

The Sar-e-Sang lapis lazuli deposit has a mining history exceeding 5000 years, producing the world’s finest lapis lazuli. Recently, gem-quality forsterite has been discovered in the marble containing spinel, dolomite, and phlogopite at the periphery of the lapis lazuli ore body at the Pitawak mine, located east of the Sar-e-Sang deposit. The mineral assemblage indicates that the protolith of this marble is dolomite with aluminous and siliceous components. These forsterite crystals occur as colorless, transparent anhedral grains, exhibiting distinct red fluorescence under 365 nm ultraviolet light. To investigate the gemological and spectroscopic characteristics of the Pitawak mine forsterite, this study conducted and analyzed data from basic gemological analysis, electron probe microanalysis (EPMA), Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), ultraviolet–visible absorption spectroscopy (UV-VIS), Fourier-transform infrared spectroscopy (FTIR), laser Raman spectroscopy (RAMAN), and photoluminescence spectroscopy (PL) on four forsterite samples from the Pitawak mine. The analysis results reveal that the samples indicate a composition close to ideal forsterite with a crystal chemical formula of (Mg_2.00Fe_0.02)_Σ2.02Si_0.99O₄. The trace elements present include Fe, Mn, Ca, and minor amounts of Cr and Ni. The UV-VIS spectroscopy results show that the samples possess high transmittance across the visible light range with very weak absorption bands, contributing to the colorless and transparent appearance of Pitawak mine forsterite. This phenomenon is attributed to the extremely low content of chromophoric elements, which have a negligible effect on the forsterite’s color. PL spectroscopy indicates that the red fluorescence of the samples is caused by an emission peak near 642 nm. This emission peak arises from the spin-forbidden ⁴T₁ → ⁶A₁ transition of Mn²⁺ ions situated in octahedral sites within the forsterite structure.

The Shangri-La region in northwest Yunnan preserves extensive glacial moraines, which provide abundant loose material for landslides and debris flows. Mapping these moraines is therefore critical for susceptibility assessment. In this study, we used remote sensing interpretation to extract the spatial distribution of moraines. We then applied the Analytic Hierarchy Process (AHP) to eight factors—elevation, slope, curvature, vegetation cover, lithology, moraine distribution, rainfall, and human activities—and built a susceptibility model within a GIS framework. A Monte Carlo simulation was also conducted to test the sensitivity of the factor weights to potential uncertainties in expert judgments. The results show that moraines cover about 186.7 km² of the study area. Rainfall intensity and moraine distribution emerged as the two most influential factors. The simulation gave weights that differ from the standard AHP by less than 1.6%, suggesting the results are stable. The resulting susceptibility map divides the area into four zones: non-susceptible, low, moderate, and high susceptibility. The high-susceptibility zone covers 1656.48 km² (14.26% of the total area), mainly in high-altitude, steep terrain where moraines are present. The model performed reasonably well in validation, with an ROC curve AUC of 0.807. These findings could support local hazard prevention and land-use planning.