Global Grassland Research Articles

Different grazing management strategies change greenhouse gas emissions and global warming potential in global grasslands

Different grazing management strategies change greenhouse gas emissions and global warming potential in global grasslands

Unveiling and advancing grassland degradation research using a BERTopic modelling approach

Grassland degradation presents overwhelming challenges to biodiversity, ecosystem services, and the socio-economic sustainability of dependent communities. However, a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland degradation research has <pg=>not been achieved due to the limitations of traditional scientometrics methods. The present synthesis of information employed BERTopic, an advanced natural language processing tool, to analyze the extensive ecological literature on grassland degradation. We compiled a dataset of 4,504 publications from the Web of Science core collection database and used it to evaluate the geographic distribution and temporal evolution of different grassland types and available knowledge on the subject. Our analysis identified key topics in the global grassland degradation research domain, including the effects of grassland degradation on ecosystem functions, grassland ecological restoration and biodiversity conservation, erosion processes and hydrological models in grasslands, and others. The BERTopic analysis significantly outperforms traditional methods in identifying complex and evolving topics in large datasets of literature. Compared to traditional scientometrics analysis, BERTopic provides a more comprehensive perspective on the research areas, revealing not only popular topics but also emerging research areas that traditional methods may overlook, although scientometrics offers more specificity and detail. Therefore, we argue for the simultaneous use of both approaches to achieve more systematic and comprehensive assessments of specific research areas. This study represents an emerging application of BERTopic algorithms in ecological research, particularly in the critical research focused on global grassland degradation. It also highlights the need for integrating advanced computational methods in ecological research in this era of data explosion. Tools like the BERTopic algorithm are essential for enhancing our understanding of complex environmental problems, and it marks an important stride towards more sophisticated, data-driven analysis in ecology.

Mapping critical soil moisture thresholds of water stress for global grasslands

The critical soil moisture threshold (SMth) of plant water stress distinguishes whether vegetation is in an energy-limited or water-limited regime. Accurate quantification of SMth for grasslands holds significant implications for drought monitoring and efficient grassland management. However, our understanding of SMth within global grasslands remains limited. In this study, we investigated the relationship between SMth and environmental factors and mapped the global SMth for grasslands based on the estimated SMth across FLUXNET sites. Firstly, SMth was identified and estimated for 18 distinct grassland sites. Then, the factors significantly affecting SMth were investigated and the global SMth for grasslands was predicted using an empirical linear model. Our results showed that SMth was significantly positively correlated with mean annual soil moisture (SM), mean annual precipitation (PRE), and maximum annual LAI (LAImax), while negatively correlated with vapor pressure deficit (VPD) and shortwave radiation (RAD). These factors collectively constrain SMth well, with the coefficient of determination of 0.79. The estimated mean SMth for global grasslands from 2000 to 2021 is 27.8%, with a range from 1.3% to 55.2%. The SMth values are lower in the northern hemisphere than that in the southern hemisphere. The highest values of SMth, exceeding 40.0%, are mainly distributed in Brazil, Peru, Southern Europe, New Zealand and the Tibetan Plateau. In contrast, the lowest values, failing below 20.0%, are mainly distributed in Northern Canada, Greenland, Central African Savannah and Kazakhstan. The SMth is markedly lower in the arid region than that in the tropical and temperate regions. The quantified SMth in this study could provide a direct way to determine whether and to what extent grasslands are subjected to water stress, which would greatly facilitate the study of drought or water stress effects on vegetation growth for grassland ecosystems.

Resistance of grassland productivity to drought and heatwave over a temperate semi-arid climate zone

Drought and heatwave are the primary climate extremes for vegetation productivity loss in the global temperate semi-arid grassland, challenging the ecosystem productivity stability in these areas. Previous studies have indicated a significant decline in the resistance of global grassland productivity to drought, but we still lack a systematic understanding of the mechanisms determining the spatiotemporal variations in grassland resistance to drought and heatwave. In this study, we focused on temperate semi-arid grasslands of China (TSGC) to assess the spatiotemporal variations of grassland productivity resistance to different climate extremes: compound dry-hot events, individual drought events, and individual heatwave events that occurred during 2000–2019. Based on the explainable machine learning model, we explored the resistance to the interaction of drought and heatwave and identify the dominant factors determining the spatiotemporal variations in resistance. The results revealed that grassland resistance to climate extremes had decreased in Xilingol Grassland and Mu Us Sandy Land, and had a not significant increase in Otindag Desert during 2000–2019. Human activities and the increase in CO2 concentration causes a decline in resistance in Mu Us Sandy Land, and the increase of VPD and shift of vegetation loss event timing caused a decline in resistance in Xilingol Grassland, while the weakening of climate extremes, especially the shortening of drought duration, increase the resistance in Otindag Desert. Mean annual temperature dominates the spatial differences in resistance among different grasslands. When drought and heatwave occur simultaneously, there is an additive effect on resistance and causes lower resistance to compound dry-hot events compared to individual drought and heatwave events. Our analysis provides crucial insights into understanding the impact of climate extremes on the temperate semi-arid grasslands of China.

Aboveground and belowground biodiversity have complementary effects on ecosystem functions across global grasslands.

Grasslands are integral to maintaining biodiversity and key ecosystem services and are under threat from climate change. Plant and soil microbial diversity, and their interactions, support the provision of multiple ecosystem functions (multifunctionality). However, it remains virtually unknown whether plant and soil microbial diversity explain a unique portion of total variation or shared contributions to supporting multifunctionality across global grasslands. Here, we combine results from a global survey of 101 grasslands with a novel microcosm study, controlling for both plant and soil microbial diversity to identify their individual and interactive contribution to support multifunctionality under aridity and experimental drought. We found that plant and soil microbial diversity independently predict a unique portion of total variation in above- and belowground functioning, suggesting that both types of biodiversity complement each other. Interactions between plant and soil microbial diversity positively impacted multifunctionality including primary production and nutrient storage. Our findings were also climate context dependent, since soil fungal diversity was positively associated with multifunctionality in less arid regions, while plant diversity was strongly and positively linked to multifunctionality in more arid regions. Our results highlight the need to conserve both above- and belowground diversity to sustain grassland multifunctionality in a drier world and indicate climate change may shift the relative contribution of plant and soil biodiversity to multifunctionality across global grasslands.

Reseeding inhibits grassland vegetation degradation – Global evidence

Global grassland faces different degradation degrees, and reseeding is commonly used to restore degraded grasslands. However, the factors affecting the results of reseeding restorations worldwide remain unclear. Here, we screened 141 independently published articles and performed a meta-analysis of the extracted 1386 data pairs. We selected five quantitative indices and four α diversity indices to analyze the effects of reseeding on the degraded grassland. Our results showed that reseeding significantly increased the quantitative indices and diversity index of degraded grasslands worldwide. Mixed reseeding has the best effect on improving the diversity of degraded grassland. A high mixed reseeding number was more conducive to restoring degraded grassland diversity. The more severe the grassland degradation, the better the restoration effect of reseeding. Short- and medium-term restorations significantly increased the diversity of degraded grassland. However, the restoration time increased the response proportion of aboveground biomass and cover. After reseeding, the proportion of aboveground biomass (AGB) response in humid areas was greater than in arid regions. This study explored the overall effect of reseeding restoration and the factors affecting reseeding restoration, providing a basis for the global restoration of degraded grassland and promoting the healthy development and sustainable use of grassland.

Predicting the potential risk of Caragana shrub encroachment in the Eurasian steppe under anthropogenic climate change

Climate change and human activities drive widespread shrub encroachment in global grassland ecosystems, particularly in the Eurasian steppe. Caragana shrubs, the primary contributors to shrub encroachment in this region, play a crucial role in shaping the ecosystem's structure and function. Future changes in the suitable distribution range of Caragana species will directly affect the ecological security and sustainable socio-economic development of the Eurasian steppe ecosystem. We used an ensemble modeling approach to predict Caragana shrub-dominated plant communities' current and future distribution in three major steppe subregions: the Black Sea-Kazakhstan steppe, the Tibetan Plateau steppe, and the Central Asian steppe. We assessed the potential risk of Caragana shrub encroachment by predicting changes in the suitable distribution area of 19 Caragana shrub species under future climate changes. Our research findings suggest that the expansion of Caragana species in different subregions of the Eurasian steppe is influenced by the effects of climate change in various ways. The distribution of Caragana species is primarily influenced by precipitation and temperature, and the global human modification (ghm) has a significant impact on the Central Asian and Tibetan Plateau subregions. Minimal changes are expected in the Black Sea-Kazakhstan subregion, a slight increase on the Tibetan Plateau, and a substantial rise in the Central Asian subregion, which suggests a higher potential risk of Caragana species shrub encroachment in that area. Our research provides valuable insights into the response of Caragana shrub encroachment to changing climates and human activities. It also has implications for the sustainable management of different areas of the vast Eurasian steppe ecosystem.

Separating Shrub Cover From Green Vegetation in Grasslands Using Hyperspectral Vegetation Indices

Shrub cover is a key parameter for monitoring woody plant encroachment (WPE) in the background of global grassland degradation. At the critical early encroachment stage, many shrub species are small, and it is impossible to be detected through height parameters. Hyperspectral vegetation indices (HVIs) are valuable tools to estimate vegetation cover, while the effect of shrubs of different cover levels (e.g., low: <35%, moderate: 36–55%, high: >56%) on the spectrum of mixed grassland is still unclear. In this study, narrowband HVIs were created for shrub cover estimation using field hyperspectral data collected in Cypress Hills Interprovincial Park, SK. Published HVIs and newly developed HVIs were examined for the relationship between green shrub cover and total green vegetation (GV) cover. Averaging normalized difference vegetation index (NDVI) was also used to minimize in the variation of shrub cover and GV in each quadrat. Results showed that HVIs SR [600, 800] and NDVI [705, 750] had the highest R2 with green shrub and GV cover (R2 = 0.34 and R2 = 0.30, p-value < 0.05). Blue bands (449 and 489 nm) and SWIR bands (1619 and 1739 nm) combination exhibited the highest accuracy for shrub and GV covers estimation (R2 = 0.60 and 0.40, p-value < 0.05). Averaging NDVI positively correlated with green shrub cover below 30% or above 70%. Three separability metrics (JM, TD, and M) results also showed the red and NIR region may promise to distinguish different shrub cover levels.

Cooperative management can mitigate trade-offs between livestock production and ecological functions to promote grassland sustainability

An increase in the population in pastoral regions and an improvement in living standards have increased livestock production; however, this has led, at least in part, to global grassland degradation. Consequently, the optimal pathway to mitigate trade-offs between livestock production and ecological functions of grassland is the key to achieve sustainable development in pastoral regions. Transformative adaptation is the recommended and feasible approach. However, most studies are not designed to determine which grassland management system addresses transformative adaptation and, therefore, do not provide options that can resolve the trade-offs. To fill this gap, we compared three grassland management systems, namely single, joint and cooperative. The grassland health index (GHI), data envelopment analysis (DEA), life cycle assessment (LCA), TOPSIS model and the multi-objective optimization model were employed to assess the productive and ecological benefits of the three systems. Cooperative management had the greatest comprehensive benefits when considering ecological functions, livestock production, carbon efficiency utilization and grassland area utilization efficiency, and had the greatest potential to achieve a balance between livestock production and ecological functions in the future.

Optimizing grazing exclusion duration for carbon sequestration in grasslands: Incorporating temporal heterogeneity of aboveground biomass and soil organic carbon

Grasslands account for approximately one-third of the global terrestrial carbon stocks. However, a limited understanding of the impact of grazing exclusion on carbon storage in grassland ecosystems hinders progress towards restoring overgrazed grasslands and promoting carbon sequestration. In this study, we conducted a comprehensive meta-analysis to investigate the effects of grazing exclusion on aboveground biomass (AGB) and soil organic carbon (SOC) in four grasslands: alpine grasslands (AP), tropical savannas (TS), temperate subhumid grasslands (TG), and a semi-desert steppe (SD). Our meta-analysis indicated that grazing exclusion significantly enhanced carbon sequestration in grassland ecosystems, and the benefits of carbon sequestration were most pronounced in the AP, followed by the TG, SD, and TS. Grazing exclusion duration (DUR) was a significant factor associated with the response of aboveground biomass (AGB) and soil organic carbon (SOC) to grazing exclusion. Moreover, the relationships between AGB and DUR were nonlinear, with existence thresholds of 18, 21, 12, 19, and 23 years in global grasslands (ALL), AP, TS, TG, and SD, respectively. However, the relationship between SOC and DUR was linear, with SOC continuing to increase as DUR increased (up to 40 years). The multi-objective optimization indicated that the optimal duration of grazing exclusion for grassland carbon sequestration was 18–20, 21–23, 12–14, 19–21, and 23–25 years for ALL, AP, TS, TG, and SD, respectively. Our study contributes to the enhancement of grazing management and offers better options for increasing carbon sequestration in grasslands.

Effects of grazing on soil respiration in global grassland ecosystems

Soil respiration is an important process in the global carbon cycle, one that plays a crucial role in altering carbon dioxide levels in the atmosphere. However, the effects of grazing on soil respiration at the global scale remain unclear. Here, we analyzed 688 paired observations from 69 studies worldwide and found that grazing substantially suppresses soil respiration (including autotrophic respiration and heterotrophic respiration). Moreover, these negative effects on soil respiration were amplified at higher grazing intensity, longer grazing duration (> 10 years) and higher temperature (> 5 °C). Importantly, changes in belowground biomass drive soil respiration in response to grazing in grassland ecosystems worldwide. Overall, accurately predicting the soil respiration pattern in grazed grasslands allows us to minimize the impact of grazing on grassland functional structure and improve the sustainability of livestock production.

Contrasting roles of fungal and oomycete pathogens in mediating nitrogen addition and winter grazing effects on biomass.

Both bottom-up and top-down processes modulate plant communities. Fungal and oomycete pathogens are most common in global grasslands, and due to differences in their physiology, function, host range, and life cycles, they may differentially affect plants (in both intensity and direction). However, how fungal and oomycete pathogens regulate bottom-up and top-down effects on plant community biomass remains unclear. To this end, we conducted a 3-year field experiment in an alpine meadow incorporating mammalian herbivore exclosure, fungicide/oomyceticide application, and nitrogen addition treatments. We arranged 12 blocks with half randomly assigned to be mammalian herbivore exclosures (fenced to exclude grazing sheep), and the other half were fenced most of the year but not in winter (winter grazing control). Six 2.5 × 2.5 m square plots were established in each block, with each of the six plots assigned as control, nitrogen addition, fungicide application, oomyceticide application, nitrogen addition + fungicide application, and nitrogen addition + oomyceticide application. We found that fungicide application significantly increased plant community biomass (mainly Poaceae species) under nitrogen addition and promoted the bottom-up effect of nitrogen addition on plant community biomass by altering the community-weighted mean of plant height (via species turnover). Meanwhile, oomyceticide application significantly increased plant community biomass (mainly Poaceae species) when mammalian herbivores were excluded and weakened the top-down effect of winter grazing on plant community biomass by driving intraspecific variation in plant height. Our results highlight that fungal and oomycete pathogens play important (but differing) roles in mediating the effects of nutrient availability and higher trophic levels on plant community biomass. Mechanistically, we demonstrated that plant pathogen-related modulation of plant community biomass is achieved by alterations to plant height. Overall, this study combines both community and disease ecology to reveal complex interactions among higher trophic levels and their potential impacts on terrestrial ecosystem functioning under human disturbance.

Responses of soil bacterial functional group diversity to nitrogen enrichment in global grasslands

Soil microbial functional groups are closely linked to ecosystem functioning and are highly sensitive to global environmental changes. However, compared to the species diversity, how soil microbial functional group diversity responds to environmental changes remains poorly understood. Here, we investigated the nitrogen (N) effect on soil bacterial functional group diversity and predicted its spatial pattern in global grasslands. By re-analyzing publicly available 16S rRNA gene amplicon data from 38 N-addition experiments including 96 paired measurements across five continents, we found that N enrichment significantly leads to a more similar β-diversity but had no pronounced effect on α-diversity of soil bacterial functional groups. Global mapping with a random forest model revealed a clear spatial pattern of the N effect: ∼78 % of the global grasslands have shifted towards a more similar bacterial functional group β-diversity under contemporary N deposition rates, and in the regions particularly affected by high N deposition and vulnerable to global changes (e.g. the Eurasian steppe), the magnitude of change was greater. These results make a step in understanding soil microbial functional group diversity in addition to species diversity in the face of environmental changes, and provide more knowledge and rationale for the conservation of soil microbial functional diversity hotspots in global grasslands.

Global response of different types of grasslands to precipitation and grazing, especially belowground biomass

Precipitation and grazing both modify the structure and function of grassland. Although the effects of site-scale precipitation and grazing on vegetation communities have been investigated, the differences between different grassland types at the global scale are still not clear. Therefore, we conducted a global-scale meta-analysis synthesizing 107 field studies with different grassland types (savanna grassland, temperate grassland, cold grassland, and alpine grassland) to quantify the effects of global changes in precipitation and grazing on community structure and function of grassland types. Results showed that regardless of grassland type, increased precipitation increased species richness by 7.8%, decreased belowground biomass (BGB) by 20.0%, and increased aboveground biomass (AGB) by 22.9%, but interestingly, decreased precipitation increased BGB by 17.7%, decreased AGB by 22.8%, and decreased species richness by 13.7%. Species richness of global grassland vegetation was positively correlated with grazing intensity. The total vegetation community biomass (TB) increased by 11.7% under moderate grazing intensity, while the species diversity of global grassland vegetation increased by 10.7% under heavy grazing intensity. Increased precipitation had negatively impacted BGB in temperate grassland, while increased precipitation significantly increased cool grassland BGB. In savanna grasslands, vegetation AGB decreased with increasing precipitation. Our results highlight the impact of altered precipitation on grassland vegetation under different climate types. We suggest that future studies of grassland management should consider incorporating grazing intensity and climate type, which will help to protect grassland vegetation species diversity and predict future carbon dynamics.

Similar effects of seasonal nitrogen enrichment on plant species–area relationship in a temperate grassland

1. Nitrogen (N) enrichment often decreases plant species richness in local communities, thus altering plant species–area relationships (SAR). However, whether N enrichment affects the SAR across global grasslands has not yet been well explored. Additionally, whether and how seasonal N enrichment alters the SAR remains unknown.2. This study employed data from global grasslands (meta-analysis) in combination with a seasonal field N addition experiment during the first 6 consecutive years (2014–2020) in a temperate grassland in northern China.3. We found that N addition did not alter the SAR slopes across global grasslands and our experimental grassland, but significantly reduced the intercepts (plant species richness at the 1 m2 plot scale). There was no significant difference among seasonal N treatments. The SAR intercepts were negatively correlated with increasing experimental years in our temperate grassland, without significant differences among the three seasonal N addition treatments, indicating a cumulative effect on the reduction in plant species richness at 1 m2 with N-enriched conditions.4. These results suggest that N enrichment affects the SAR in grassland ecosystems by reducing the SAR intercepts. Therefore, biodiversity conservation activities should be applied urgently in localities facing increasing atmospheric N deposition.

Livestock grazing modifies soil nematode body size structure in mosaic grassland habitats

Body size is closely related to the trophic level and abundance of soil fauna, particularly nematodes. Therefore, size-based analyses are increasingly prominent in unveiling soil food web structure and its responses to anthropogenic disturbances, such as livestock grazing. Yet, little is known about the effects of different livestock on the body size structure of soil nematodes, especially in grasslands characterized by local habitat heterogeneity. A four-year field grazing experiment from 2017 to 2020 was conducted in a meadow steppe characterized by typical mosaics of degraded hypersaline patches and undegraded hyposaline patches to assess the impacts of cattle and sheep grazing on the body size structure of soil nematodes within and across trophic groups. Without grazing, the hypersaline patches harbored higher abundance of large-bodied nematodes in the community compared to the hyposaline patches. Livestock grazing decreased large-bodied nematodes within and across trophic groups mainly by reducing soil microbial biomass in the hypersaline patches, with sheep grazing resulting in more substantial reductions compared to cattle grazing. The reduction in large-bodied nematode individuals correspondingly resulted in decreases in nematode community-weighted mean (CWM) body size, nematode biomass, and size spectra slopes. However, both cattle and sheep grazing had minimal impacts on the CWM body size and size spectra of total nematodes in the hyposaline patches. Our findings suggest that livestock grazing, especially sheep grazing, has the potential to simplify soil food webs by reducing large-bodied nematodes in degraded habitats, which may aggravate soil degradation by weakening the bioturbation activities of soil fauna. In light of the widespread land use of grasslands by herbivores of various species and the ongoing global grassland degradation of mosaic patches, the recognition of the trends revealed by our findings is critical for developing appropriate strategies for grassland grazing management.

Drivers of soil microbial and detritivore activity across global grasslands

Covering approximately 40% of land surfaces, grasslands provide critical ecosystem services that rely on soil organisms. However, the global determinants of soil biodiversity and functioning remain underexplored. In this study, we investigate the drivers of soil microbial and detritivore activity in grasslands across a wide range of climatic conditions on five continents. We apply standardized treatments of nutrient addition and herbivore reduction, allowing us to disentangle the regional and local drivers of soil organism activity. We use structural equation modeling to assess the direct and indirect effects of local and regional drivers on soil biological activities. Microbial and detritivore activities are positively correlated across global grasslands. These correlations are shaped more by global climatic factors than by local treatments, with annual precipitation and soil water content explaining the majority of the variation. Nutrient addition tends to reduce microbial activity by enhancing plant growth, while herbivore reduction typically increases microbial and detritivore activity through increased soil moisture. Our findings emphasize soil moisture as a key driver of soil biological activity, highlighting the potential impacts of climate change, altered grazing pressure, and eutrophication on nutrient cycling and decomposition within grassland ecosystems.

Belowground C sequestrations response to grazing exclusion in global grasslands: Dynamics and mechanisms

Globally, grazing exclusion is a widely implemented management strategy for restoring degraded grassland ecosystems and sequestering carbon (C). However, there is limited understanding regarding the temporal responses and underlying factors influencing ecosystem C stocks following grazing exclusion. In this study, we conducted a comprehensive synthesis of data from 199 independent experiments (454 pairwise observations) to analyze responses of plant and soil C stocks to grazing exclusion across four distinct grassland ecosystems (desert, typical, meadow, and alpine) in the globe. We found that rates of change in plant biomass C stocks and soil organic C stocks exponentially or rationally decreased with years since enclosure. Grazing exclusion generally enhanced aboveground biomass C in plants, while its effects on C stocks of belowground biomass and soil were more contingent upon various factors, such as climate, initial levels of C stocks, and grazing exclusion duration. Furthermore, the responses of C stocks of plant biomass and soil to livestock grazing cessation tend to stabilize over time, with equilibrium typically reaching after approximately 40 years, while soil C sequestration responses exhibited a lagged pattern compared to plant biomass C. Our results underscored the effectiveness of grazing exclusion as an effective strategy to enhance C stocks in regions characterized by low C content and non-water limited conditions. We propose that grazing exclusion for 1–5 years was the best restoration time for typical, meadow and alpine grasslands. Given the limited effects of grazing exclusion on soil organic C stocks of desert types, grazing exclusion might not be an effective measure to increase the soil organic C stocks in water-limited areas like desert grasslands.

Local climate conditions explain the divergent climate change effects on (de)nitrification across the grassland biome: A meta-analysis

Ecosystem functions, such as soil nitrogen cycling, are being altered by climate change. The responses of soil (de)nitrification to climate change are different and sometimes opposite across global grasslands. However, it remains unclear how the local environmental conditions and the duration and magnitude of climate change experiments influence these responses. We synthesized the results of 49 studies corresponding to 518 observations on the effects of warming, elevated CO2, and elevated precipitation, and unfolded the reasons for the divergent responses in (de)nitrification to these climate change factors. We found that the responses of (de)nitrification are mainly related to annual precipitation and temperature, and less to the duration and magnitude of experimental treatment. In contrast, soil variables such as pH and organic carbon had no significant effects on these responses. Specifically, the effect of warming on the abundance of ammonia-oxidizing archaea (AOA) shifted from negative for mean annual precipitation (MAP) < 600 mm to positive for MAP>700 mm, whereas the effects on denitrification decreased with mean annual temperature (MAT). The effects of elevated CO2 on nitrification, denitrification and soil nitrate all decreased with MAP, with negative effects observed for MAP>700 mm. The effects of elevated P on nitrification and soil ammonium decreased with MAP, with negative effects observed for MAP>300 mm. The results suggested that in dry regions, altered water availability governs climate change effects, while changed nitrogen availability is likely the main determinant in wet regions. This shows how biochemical models should include local climatic conditions when predicting nitrogen dynamics across the grassland biome under future climate change scenarios.

Nothing lasts forever: Dominant species decline under rapid environmental change in global grasslands

Abstract Dominance often indicates one or a few species being best suited for resource capture and retention in a given environment. Press perturbations that change availability of limiting resources can restructure competitive hierarchies, allowing new species to capture or retain resources and leaving once dominant species fated to decline. However, dominant species may maintain high abundances even when their new environments no longer favour them due to stochastic processes associated with their high abundance, impeding deterministic processes that would otherwise diminish them. Here, we quantify the persistence of dominance by tracking the rate of decline in dominant species at 90 globally distributed grassland sites under experimentally elevated soil nutrient supply and reduced vertebrate consumer pressure. We found that chronic experimental nutrient addition and vertebrate exclusion caused certain subsets of species to lose dominance more quickly than in control plots. In control plots, perennial species and species with high initial cover maintained dominance for longer than annual species and those with low initial cover respectively. In fertilized plots, species with high initial cover maintained dominance at similar rates to control plots, while those with lower initial cover lost dominance even faster than similar species in controls. High initial cover increased the estimated time to dominance loss more strongly in plots with vertebrate exclosures than in controls. Vertebrate exclosures caused a slight decrease in the persistence of dominance for perennials, while fertilization brought perennials' rate of dominance loss in line with those of annuals. Annual species lost dominance at similar rates regardless of treatments. Synthesis. Collectively, these results point to a strong role of a species' historical abundance in maintaining dominance following environmental perturbations. Because dominant species play an outsized role in driving ecosystem processes, their ability to remain dominant—regardless of environmental conditions—is critical to anticipating expected rates of change in the structure and function of grasslands. Species that maintain dominance while no longer competitively favoured following press perturbations due to their historical abundances may result in community compositions that do not maximize resource capture, a key process of system responses to global change.