Grasslands are highly diverse ecosystems providing important ecosystem services, but they currently face a variety of anthropogenic stressors simultaneously. Quantifying grassland responses to global change factors (GCFs) is crucial for developing effective strategies to mitigate the negative impacts of global change on grassland communities and to promote their resilience in the face of future environmental challenges. We conducted a field experiment in the Songnen grassland, northeastern China, to test the combined effects of 0, 1, 2, 4, 6, and 8 GCFs, including fungicide, herbicide, insecticide, antibiotic stress, heavy metal pollution, light pollution, microplastic pollution, nitrogen deposition, tillage disturbance, and increased precipitation. We found that within one year, the increasing number of GCFs negatively impacts both the productivity and diversity of grassland communities. In comparison to exposure to a single GCF, exposure to 8 GCFs led to a reduction in productivity and species richness by 42.8% and 42.9%, respectively. Furthermore, these negative effects seem to be linked to the reduction of dominant species and the concurrent increase in neonative species (i.e., species that have expanded their geographic range into a new area without direct human assistance, but as an indirect consequence of human-induced environmental changes). The results of hierarchical diversity-interaction modeling suggested that the adverse impacts of an increasing number of GCFs on community productivity and diversity are attributable to both the specific identities of GCFs involved and their unique pairwise interactions. The results suggest that grasslands may quickly lose stability and degrade more rapidly in response to multiple co-occurring GCFs. Greater efforts should be made to conserve the functions and services of grassland ecosystems by reducing the impacts of human activities.

Plant and soil microbial communities jointly sustain ecosystem multifunctionality (EMF) in temperate grasslands, yet their relative contributions to EMF under grazing management remain poorly understood. We simultaneously investigated three temperate grasslands to assess the effects of grazing management, climate, edaphic properties, and plant and microbial communities (diversity and community composition) on EMF (quantified by potential soil nitrogen (N) mineralization, arbuscular mycorrhizal fungal infection rate, phospholipid fatty acid, soil total carbon (C) and N, inorganic N, and plant biomass). Using random forest modeling, we identified important predictors, followed by structural equation modeling (SEM) to disentangle their relative roles. The results showed consistent declines in plant diversity and EMF with increasing grazing intensity, while soil bacterial and fungal diversity exhibited minimal responses. Heavy grazing management significantly reduced the abundance of perennial forbs and rhizome grasses, but increased that of annuals and legumes. Concurrently, we observed a significant decrease in copiotrophic Proteobacteria abundance accompanied by an increase in oligotrophic Gemmatimonadetes abundance. Random forest modeling identified grazing intensity, climate, soil properties, plant diversity and community composition, and bacterial community composition as important predictors of EMF. SEM revealed that plant diversity was the dominant biotic predictor of EMF, exceeding the influence of microbial communities across all grasslands. Notably, aridity indirectly influenced EMF through plant diversity rather than direct regulation. These findings demonstrate that plant diversity primarily maintains EMF under grazing pressure, highlighting the importance of biodiversity-focused management strategies in temperate grassland conservation.

In grassland ecosystem management, mowing influences the tolerance mechanism of plants by modifying their growth and reproductive traits; however, the specific processes involved remain unclear. This study focused on the Elymus species (Elymus nutans ‘Aba’, Elymus sibiricus ‘Qingmu No.1’, Elymus submuticus ‘Tongde’, Elymus breviaristatus ‘Tongde’ and E. sibiricus ‘Tongde’) and systematically evaluated the effects of different mowing intensities (no mowing, light, moderate and heavy mowing) at three growth stages (jointing, booting and flowering) on plant tolerance and the role of growth and reproductive traits in this mechanism. The results revealed that mowing generally reduced plant height and the reproductive branch quantity, while significantly increasing the tiller number, seedling number and relative growth rate. However, the responses of rhizome length and vegetative branch height varied across the growth stages. Mowing during the jointing stage had the most significant effect on morphological traits, with vegetative reproduction contributing the most to tolerance and increasing with mowing intensity. Overall, the plant response to mowing timing was more pronounced than its response to changes in individual traits. Moderate mowing at the jointing stage significantly increased growth rate, tiller number and seedling number, thereby enhancing mowing tolerance. In contrast, heavy mowing at the booting and flowering stages markedly reduced reproductive branch quantity and rhizome length, resulting in diminished mowing tolerance. The study indicated that differences in the mowing stage and forage species regulated adaptive changes in growth and reproductive traits, thereby influencing tolerance mechanisms. Grassland management should fully consider the effects of mowing at different growth stages to optimize the utilization and management of the Elymus grasslands.

Shrubland functions as an important carbon sink. However, uncertainties have still persisted regarding shrubland C storage and its underlying drivers. In this study, we conducted a field survey encompassing 45 sites to investigate all sectors of C stocks in shrublands distributed in northern China, in order to accurately estimate the regional C storage and to explore the potential drivers. Our results showed that the total C density of shrubland was 78.78 Mg C ha^–1, with soil C density, vegetation C density and litter C density contributing 75.16, 2.99 and 0.64 Mg C ha^–1, respectively. Distinct C density sectors were driven by different factors: vegetation C density was primarily driven by plant community richness, litter C density by shrub diversity and soil C density by total annual sunshine and soil total phosphorus in our study. Climate factors, plant community traits and soil properties independently explained 5.15%, 6.79% and 23.73% variation of the shrubland ecosystem C density, respectively. Furthermore, the interactions between community structural traits and climate factors, as well as between community structural traits and soil properties, can explain 10.44% and 18.50% of the variation, respectively. Our findings, based on direct field measurements, refined estimates of C storage in shrubland ecosystems in northern China, and these findings provided crucial data for the validation and parameterization of C models both within China and globally.

Alien plants exhibit varied performance and distribution patterns across latitudinal gradients depending on species invasiveness and target community invasibility. Although numerous researches have studied the latitudinal patterns of plant invasiveness, few have focused on community-level invasibility. We hypothesize that community invasibility increases with latitude due to a reduction in native species richness (diversity-resistance hypothesis) and stronger environmental filtering (pre-adaptation hypothesis) at higher latitude. We conducted a field survey at 18 sites across 6 latitudes in southeast China to explore how the community invasibility changes with latitude and identify the key drivers underlying these patterns. We found that the community invasibility positively correlated with latitude, primarily due to a decrease of native species diversity at higher latitude. Climate factors exerted indirect effects on community invasibility by shaping native species diversity. The mean pairwise phylogenetic distance between species did not change with latitude indicating minor effects of pre-adaptation. Our study emphasizes the importance of native species diversity in shaping latitudinal patterns of community invasibility. These findings highlight biodiversity conservation as an effective strategy to mitigate biological invasions, particularly in regions vulnerable to climate change.

Straw and coal gangue, primary wastes from agriculture and industry, respectively, have the potential to improve soil nutrients. The impact of plant species and microbial nutrient activation on this improvement warrants further investigation. A greenhouse experiment was conducted to examine how phosphorus-solubilizing bacteria (PSB) and mulch made from coal gangue and straw affect soil available phosphorus (AP), available silicon (ASi) and plant growth. These species include two economic crops, Gossypium hirsutum and Glycine max, and two plants used for mining remediation, Solanum nigrum and Medicago sativa. We found that the effects of mulching with coal gangue and straw on soil AP, ASi and plant growth were influenced by plant species. The soil AP and ASi contents were significantly positively correlated in G. max and S. nigrum and the mixed mulch significantly increased the soil AP and ASi contents for G. max and S. nigrum. The mixed mulch significantly increased the total biomass of G. max, with no significant effect on the biomass of other plants, reflecting that planting G. max could be an optimal strategy for improving soil with straw and coal gangue. The enhancement effects of the mixed mulch on soil AP and ASi of S. nigrum and the total biomass of G. max were negated by PSB, while PSB increased the soil AP and ASi contents of M. sativa with the mixed mulch. Overall, these results demonstrated the necessity of planting suitable species and judiciously using microbial inoculants during the use of waste.

The trait-based approach has long been crucial for understanding and predicting seedling dynamics in forest ecosystems. However, the complex architecture of trait networks governing these dynamics has been scarcely explored. The relationships among plant traits, reflecting plants’ overall life strategies, can offer deeper insights into plant performance than traditional trait-based analyses. Focusing on trait network architecture and traits themselves helps better understand the seedling-to-sapling transition. During a 12-year period, we carried out a field census in a subtropical forest. Using a demographic progress model, we evaluated two key population-level metrics for 26 species: the time for seedlings to reach the 2-m sapling stage and their early-growth survival period. We constructed plant trait networks with 16 leaf, stem and root traits and explored their connections with population vital rates. Our results showed that newly recruited seedlings took 17–81 years to become saplings, with a survival span of 1–4 years over a 5-year observation period. Network centralization was negatively correlated with the transition time but did not explain early-stage survival variation. Species with acquisitive strategies exhibited shorter transition time and a shorter survival period. Hub traits with high connectivity, such as root tissue density and leaf dry matter content, were more influential in determining the transition time. Overall, our study highlights the importance of trait network centralization and hub traits. By linking population characteristics derived from long-term individual-based observations with plant traits, this study advances our understanding of trait-population relationships and provides theoretical implications for forest management and conservation.

The intricate relationships between plants and their rhizobacteria are crucial for plant success, yet our understanding of these associations, particularly in diverse alpine natural grasslands, remains limited. Here, we investigated two widespread grass genera (Stipa Linn and Poa Linn) and their core rhizobacteria across a vast 2161 km transects on the Qinghai–Tibetan Plateau. Compared to Stipa L., which has a broader niche breadth, Poa L. displays higher above- and below-ground biomass. This characteristic reflects a more resource-conservative and stable growth strategy, consistent with traits commonly observed in K-strategists. However, Poa’s core rhizobacteria (5458 species, 9.51% of total amplicon sequence variants (ASVs)) were enriched with here r-strategists, while Stipa’s (5193 species, 9.05% of total ASVs) were dominated by K-strategists. These findings highlight contrasting life-history strategies between grasses and their associated core rhizobacteria. Notably, only 633 core rhizobacteria overlapped between these two grasses. Functionally, Poa’s r-strategist microbiota likely prioritizes rapid resource acquisition for high biomass production, while Stipa’s K-strategist-dominated community might enhance stress tolerance in their resource-limited habitat. The observed pattern of life-history differences between grasses and rhizosphere microbes supports plant survival in alpine ecosystems. Our study advances understanding of rhizosphere ecology and its importance for ecosystem health in natural environments.

Microorganism-mediated nitrogen (N) denitrification and dynamics are crucial ecosystem functions that influence N losses. However, the drivers and microbial mechanisms underlying seasonal variations in denitrification across elevations in alpine forest mountain ecosystems remain poorly understood. Here, we assessed the variations in potential denitrification rates and denitrifier communities using ¹⁵N-labeling techniques and high-throughput sequencing and examined soil properties across an elevational gradient in alpine forest mountains. Our findings demonstrated that soil potential denitrification rates decreased with increasing elevations, exhibiting lower levels during the wet season (0.095 ± 0.005 mg kg⁻¹ d⁻¹) compared to the dry season (0.12 ± 0.007 mg kg⁻¹ d⁻¹) (P < 0.05). Soil substrates, including NH4+-N, dissolved organic nitrogen, and total nitrogen, were identified as pivotal regulators of soil denitrification during the dry season, indicating substrate-driven control. Conversely, microbial attributes (nirS and nosZ genes abundance), were the primary factors governing soil denitrification during the wet season, reflecting microbial regulation. Additionally, Bradyrhizobium emerged as the dominant genus contributing to denitrification rates in our study. Overall, our study underscores the diverse factors driving the seasonal dynamics of soil denitrification and provided critical insights to improve ecosystem models to better predict N losses under increasingly pronounced wet-dry precipitation patterns.