The Sanjiangyuan National Park is the first Chinese national park system, and the ecological environment is inherently fragile and sensitive. Therefore, for environmental protection, it is imperative to understand the spatiotemporal variation characteristics of the ecological quality of vegetation and its climate influence factors. We used the MODIS normalized difference vegetation index (NDVI) dataset, meteorological dataset, and Carnegie–Ames–Stanford Approach (CASA) model to investigate the spatiotemporal patterns and change trends of the NDVI and the net primary productivity (NPP) of the vegetation in the Sanjiangyuan National Park from 2000 to 2016. A linear regression model was used to explore the influence of the ecological quality of vegetation and climatic factors. The results showed that (1) the NDVI and NPP were high in the southeast area and low in the northwest area. The Yangtze River headwater region had the lowest NDVI (0–0.3) and NPP (0–100 gC/m²). The Lancang River had the highest NDVI (0.4–0.8) and NPP (100–250 gC/m²). (2) From 2000–2016, approximately 23.46% of the area showed a significant positive trend of the NDVI that was mainly distributed in the prairie areas in the midlands and the north of the Yangtze River headwater region, and was scattered in the midlands and the north of Yellow River headwater region. Furthermore, 24.32% of the NPP was determined to have increased significantly, which was mainly distributed in the midlands and the north of the Yangtze River headwater region, as well as the midlands and the east of the Yellow River headwater region. (3) The vegetation growth in the Sanjiangyuan National Park was regulated by both water and heat conditions. The NDVI was significantly affected by precipitation during the growing season and by the annual precipitation. In addition, the NPP was significantly affected by temperature during the growing season and by the annual average temperature of the study area.

A high-resolution and near real-time drought monitoring dataset has not been made readily available in drought-prone China, except for the low-resolution global product. Here we developed a set of near real-time meteorological drought data at a 0.25° spatial resolution over China, by seamlessly merging the satellite-based near real-time (RT) precipitation (3B42RTv7) into the high-quality gauge-based retrospective product (CN05.1) using the quantile-mapping (QM) bias-adjustment method. Comparing the standard precipitation index (SPI) from the satellite-gauge merged product (SGMP) with that from the retrospective ground product CN05.1 (OBS) shows that the SGMP reproduces well the observed spatial distribution of SPI and the pattern of meteorological drought across China, at both the 6-month and 12-month time scales. In contrast, the UN-SGMP generated by merging the unadjusted raw satellite precipitation into the gauging data shows systematical overestimation of the SPI, leaving less meteorological droughts to be identified. Furthermore, the SGMP is found to be able to capture the inter-annual variation of percentage area in meteorological droughts. These validation results suggest that the newly developed drought dataset is reliable for monitoring meteorological drought dynamics in near real-time. This dataset will be routinely updated as the satellite RT precipitation is made available, thus facilitating near real-time drought diagnosis in China.

During a survey of discomycetes in Yunnan, China, three saprobic species of Triblidium were discovered on decayed wood and the bark of living oak trees. These species are characterised by black cleistohymenial apothecia with 6–8 teeth-like lobes, which can be either stipitate or sessile, with greyish-white to orange hymenium, a well-developed covering and basal stroma, consisting of carbonised to hyaline angular cells or hyaline hyphae, with a subhymenium composed of hyaline angular cells, clavate, J- asci, with an elliptical or rounded apex and long acicular and ellipsoidal ascospores with multiple septa. Triblidium longisporum, T. stipitatum and T. daliense are described as new species within Triblidium, supported by both morphological features and phylogenetic analyses of the LSU-ITS-mtSSU dataset. Detailed descriptions, illustrations and multi-gene analyses fully support each species.

Sediment dredging and aeration are used as important technical measures to remediate internal loading of sediment in polluted rivers. However, previous studies have overlooked the impact of dredging and aeration on Greenhouse gases (GHGs) emission. We established three aeration rate(six different aeration intervals), one dredging treatment to investigate the effect of aeration and dredging on pollutant removals and CO₂, CH₄ and N₂O emissions. The results indicated the pollutants and GHGs at 2.4, 3.4, 4.4 L min⁻¹ aeration rates reached collaborative emission reduction after more than 3 h or within 1.5 h. Meanwhile, the GHGs fluxes after aeration decreased with the increasing aeration rate, with the mean CO₂, CH₄ and N₂O fluxes of 69.74, 0.16, 7.53 mg m⁻² h⁻¹ and 33.64, 0.09, 4.17 mg m⁻² h⁻¹ before and after aeration, respectively. With respect to dredging, the pollutants and N₂O reached synergic effects between reduction of pollution and carbon emissions after 1 h dredging. Specifically, the CO₂ and CH₄ emissions after dredging was lower than those of before dredging, but the N₂O emissions was higher than those of before dredging. In addition, our analysis revealed that the dissolved oxygen (DO), oxidation-reduction potential (ORP), available potassium (AK) and ammoniacal nitrogen (NH₄⁺-N) in the sediment influenced GHGs fluxes at the water-air interface in the aeration. Our study indicated moderate aeration and dredging can achieve the synergistic effect in reducing pollution and carbon emissions.

Grazing exclusion (GE) and rest grazing (RG) are important management systems for the restoration of degraded grassland ecosystems. In order to evaluate the effects and mechanisms of different grazing management systems on the scale dependency of species diversity, plant community indices and soil variables were determined in 32 plots in the Qilian Mountains in Gansu Province. The results show that diversity effects and their regulating mechanisms had space-scale dependence under different grazing management systems. The species richness and species diversity indices of RG grassland were significantly higher than those of GE at the regional scale. Species richness for RG and GE plots was 128 and 98, respectively, and the Shannon–Wiener and Simpson indices for RG and GE plots were 2.26 and 2.16, and 0.85 and 0.83, respectively. Additionally, three grazing management systems had a significant effect on species richness in mountain meadows, but different management systems had significantly different effects on species diversity indices in mountain meadows and temperate steppes. Meanwhile, soil variables only influenced species diversity at the regional scale. Most of the plant and soil variables at each scale had positive effects on species diversity. However, a negative correlation was seen between biodiversity and species coverage, mean plant height, soil porosity (SP) and bulk density (BD) under the two contrasting grazing management systems. In conclusion, choosing RG at the regional scale and selecting grazing management systems according to different grassland types at the local scale can help to restore degraded grassland vegetation.

This study systematically documented macrofungal diversity in Beijing, China (field surveys conducted from 2020 to 2024) using line-transect and random sampling. A total of 1056 species were identified, spanning 2 phyla, 7 classes, 25 orders, 109 families, and 286 genera. The inventory includes 12 new species, 456 new records for Beijing, 79 new records for China, and comprises 116 edible, 56 edible–medicinal, 123 medicinal, and 58 poisonous species. Among these, 542 species were assessed against China’s Macrofungi Redlist, revealing eight species needing conservation attention (seven Near Threatened, one Vulnerable). Analysis revealed stark differences in dominant taxa between natural ecosystems (protected areas) and urban green spaces/parks. In natural areas, macrofungi are dominated by 31 families (e.g., Russulaceae, Cortinariaceae) and 47 genera (e.g., Russula, Cortinarius). Ectomycorrhizal lineages prevailed, highlighting their critical role in forest nutrient cycling, plant symbiosis, and ecosystem integrity. In urban areas, 10 families (e.g., Agaricaceae, Psathyrellaceae) and 17 genera (e.g., Leucocoprinus, Coprinellus) were dominant. Saprotrophic genera dominated, indicating their adaptation to decomposing organic matter in human-modified habitats and the provision of ecosystem services. The study demonstrates relatively high macrofungal diversity in Beijing. The distinct functional guild composition—ectomycorrhizal dominance in natural areas versus saprotrophic prevalence in urban zones—reveals complementary ecosystem functions and underscores the conservation value of protected habitats for maintaining vital mycorrhizal networks. These findings provide fundamental data and scientific support for regional biodiversity conservation and sustainable macrofungal resource development.