Global Change Biology最新文献

{"title":"Carbon-Degrading Gene Resistance Contributes to Microbial Thermal Adaptation of Soil Carbon Decomposition","authors":"Yan Zhang,&nbsp;Jintao Li,&nbsp;Jianjun Xu,&nbsp;Jinquan Li,&nbsp;Bo Li,&nbsp;Ming Nie","doi":"10.1111/gcb.70463","DOIUrl":"https://doi.org/10.1111/gcb.70463","url":null,"abstract":"<div>\u0000 \u0000 <p>The thermal adaptation of the microbial community can potentially mitigate the positive feedback between soil carbon loss and climate change. However, the mechanistic basis of this process remains unclear, particularly the link between functional genes and microbial metabolic physiology in regulating the thermal response of soil carbon decomposition. While most experimental warming studies have examined elevated mean temperatures, the magnitude of temperature fluctuations is also increasing under climate change and may impose distinct ecological effects on microbial processes. This knowledge gap likely underlies current uncertainties in predicting microbial contributions to soil carbon-climate feedbacks. Here, we conducted a 200-day incubation with soil samples from six subtropical forests spanning a 2000 km transect in China under two climate change scenarios: elevated mean temperature and increased temperature fluctuation. We found that the stronger functional gene resistance governed the thermal adaptation of the maximum potential reaction rate (<i>V</i>_max, an indicator of microbial decomposition of soil carbon) of three carbon-degrading enzymes under increased temperature fluctuation, while the enhancing response of <i>V</i>_max under elevated mean temperature was driven by the attenuated microbial community resistance. These findings provide a mechanistic basis for predicting microbially mediated feedbacks between soil carbon and temperature change via microbial physiology, offering empirical evidence for integrating microbial processes into Earth system models under climate warming.</p>\u0000 </div>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 9","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which Plant Traits Increase Soil Carbon Sequestration? Empirical Evidence From a Long-Term Poplar Genetic Diversity Trial","authors":"John L. Field,&nbsp;Brandon P. Sloan,&nbsp;Matthew E. Craig,&nbsp;Parker Calloway,&nbsp;Sarah L. Ottinger,&nbsp;Thomas Mead,&nbsp;Rose Z. Abramoff,&nbsp;Mirko Pavicic Venegas,&nbsp;Hari B. Chhetri,&nbsp;Kathy Haiby,&nbsp;Udaya C. Kalluri,&nbsp;Wellington Muchero,&nbsp;Christopher W. Schadt,&nbsp;Melanie A. Mayes","doi":"10.1111/gcb.70450","DOIUrl":"https://doi.org/10.1111/gcb.70450","url":null,"abstract":"<p>Plants play a key role in mediating soil response to global change, and breeding or engineering crops to increase soil organic carbon (SOC) storage is a potential route to land-based carbon dioxide removal in agricultural systems. However, due to limited observational datasets plus shifting paradigms of SOC stabilization, it is unclear which plant traits are most important for enhancing different types of soil organic matter. Existing long-term common gardens of genetically diverse plant populations may provide an opportunity to evaluate biological controls on SOC, separate from environmental or management variability. Here we report on soil and root chemical data collected for 24 genotypes within a 13-year-old common garden in northwestern Oregon planted with a large natural variant population of <i>Populus trichocarpa</i>. Fractionating surface soil (0–15 cm) revealed substantial variation in stocks of mineral-associated organic matter (MAOM; 18–67 t C/ha) and particulate organic matter (POM; 2–22 t C/ha). Tree genotype explained 24% and 26% of the MAOM and POM stock variability, respectively, after controlling for background variability. We found minimal association between SOC concentration and either aboveground tree productivity or root biomass recalcitrance (C/N ratios and lignin content). In contrast, root elemental content appeared influential for MAOM-C concentration, which showed a strong positive association with root aluminum (Al) and a strong negative association with root boron (B) and magnesium (Mg). Furthermore, root concentrations of these elements were highly heritable (57%–78%) and not simply a reflection of background variation in soil elemental concentrations. We estimate that surface SOC stocks under these 24 genotypes have diverged at rates of up to 1.2–4.3 t C/ha/year. These results suggest that long-term genetic diversity trials have value for elucidating biological controls on soil organic matter dynamics, and that traits associated with root elemental content may be a useful target for enhancing biosequestration.</p>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 9","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.70450","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patterns and Environmental Drivers of Soil Microbial Succession","authors":"Zhi Yu,&nbsp;Xiao-min Zeng,&nbsp;Xiaoli Cheng,&nbsp;Quanfa Zhang,&nbsp;Kerong Zhang","doi":"10.1111/gcb.70475","DOIUrl":"https://doi.org/10.1111/gcb.70475","url":null,"abstract":"<div>\u0000 \u0000 <p>Succession has been a central theme of ecology for over a century, yet the patterns and drivers of soil microbial succession remain less well understood. Here, we analyzed the raw sequencing data of 5184 soil samples involving microbial succession, including primary succession, forest and grassland secondary succession. We provide the first evidence that the β-diversity (β-total, compositional dissimilarity between communities) of soil bacterial and fungal communities both decreased significantly with successional age in the three successional types. This indicates that convergent succession (i.e., decrease in β-total with time) is prevalent and independent of successional types and initial conditions. Partitioning β-total into species addition and replacement revealed that species addition dominates in early succession and then declines with successional age, whereas species replacement shows an increasing pattern over succession and ultimately dominates the late-successional communities. The convergent succession is mainly attributed to the directional species replacement and is driven by the changes in soil properties. In primary succession, β-total in bacterial communities is negatively correlated with soil total nitrogen (TN), soil organic carbon (SOC), NO₃⁻-N, and NH₄⁺-N, and β-total in fungal communities is negatively related to soil TN, NH₄⁺-N, and NO₃⁻-N. In forest secondary succession, β-total in bacterial communities is negatively correlated with TN and SOC, and β-total in fungal communities is negatively related to TN, SOC, and NH₄⁺-N. In grassland secondary succession, β-total in bacterial communities is positively associated with the changes in soil pH (ΔpH), and β-total in fungal communities is negatively related to TN and SOC. Except for grassland bacterial succession, soil microbial communities generally shift from <i>r</i>-strategy (copiotrophs) to <i>K</i>-strategy (oligotrophs) during succession. Together, our study fills the knowledge gap in soil microbial succession patterns and highlights the universality of community convergence as predicted by the classical macroecological model.</p>\u0000 </div>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 9","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Local Adaptation May Help Mitigate Feminisation of Sea Turtle Populations Globally","authors":"Jared J. Tromp,&nbsp;Melissa N. Staines,&nbsp;Jacques-Olivier Laloë,&nbsp;Graeme C. Hays","doi":"10.1111/gcb.70458","DOIUrl":"https://doi.org/10.1111/gcb.70458","url":null,"abstract":"<p>Climate warming currently threatens many species with extinction, particularly those with a limited capacity for adaptation. Sea turtles have temperature-dependent sex determination, whereby female hatchlings are produced at warmer incubation temperatures; hence, climate warming might cause the feminisation of populations. Recent evidence suggests that climate warming will outpace the ability of turtles to adapt through phenological shifts in nesting. Here, we examine 138 published estimates for hatchling sex ratios spanning the seven sea turtle species and all ocean basins. We evaluate whether turtles have the capacity to adapt to warming temperatures through local adaptations of the pivotal temperature at which they produce a balanced amount of male and female hatchlings. We show that at warmer sites, lower proportions of female hatchlings are produced than expected from generalised sex ratio versus incubation temperature relationships that have been previously used across all sea turtle species. This points to local adaptation of the pivotal temperature (i.e., the temperature at which a balanced hatchling sex ratio is produced) as evidenced by an analysis of 33 pivotal temperatures recorded at sites around the world that showed generally higher pivotal temperatures at warmer sites, confirming previous work. These findings point to local adaptation of the pivotal temperatures, which could help the production of male hatchlings at warmer sites and so assist with population viability. These results suggest that the sea turtle hatchling sex ratio is more resilient to climate change than previously thought.</p>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 9","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.70458","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"More Than a Decade of Moderate Grazing: No Impact on Soil Organic Carbon Stocks and Enhancement of Mineral-Associated Organic Carbon via Livestock Diversification","authors":"Yipeng Zhou,&nbsp;Man Xu,&nbsp;Shuai Ren,&nbsp;Yuxuan Du,&nbsp;Yonghuan Yue,&nbsp;Haoran Yu,&nbsp;Yu Zhang,&nbsp;Shicheng Jiang,&nbsp;Tongtong Xu,&nbsp;Ling Wang","doi":"10.1111/gcb.70466","DOIUrl":"https://doi.org/10.1111/gcb.70466","url":null,"abstract":"<div>\u0000 \u0000 <p>Managed grassland soils represent a large reservoir of soil organic carbon (SOC), playing a crucial role in climate regulation. While optimal herbivore grazing is presumed to be nondetrimental and may even increase soil carbon sequestration, there is a limit to long-term experimental studies to validate this effect, especially those that incorporate multiple herbivore species and their combinations to assess impacts on SOC stocks. Here, we conducted a 14-year controlled grazing experiment with moderate intensity, incorporating common herbivore species (sheep, cattle or both) in a temperate grassland. The results showed that more than a decade of moderate grazing did not alter total SOC stocks and also particulate organic carbon (POC) regardless of livestock assemblages, while diversified livestock grazing by cattle and sheep increased the mineral-associated organic carbon (MAOC) content and its proportion of bulk soil carbon. This effect of grazing on soil MAOC is primarily attributed to an increase in soil microbial carbon inputs, driven directly by diversified livestock grazing and indirectly by improved plant diversity and soil conditions. Our study indicates that moderate grazing had a strong effect on MAOC, a key indicator of long-term soil carbon stability, but had little influence on total SOC. We further suggest that improving grassland soil carbon sequestration requires not only optimizing grazing intensity but also incorporating diverse herbivore assemblages that mimic natural grazing systems, with diversified moderate grazing emerging as an effective management strategy for promoting carbon storage and contributing to climate change mitigation.</p>\u0000 </div>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 9","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future Projections of Biodiversity Under Global Change Need to Include Genetic Diversity","authors":"Roslyn C. Henry","doi":"10.1111/gcb.70477","DOIUrl":"https://doi.org/10.1111/gcb.70477","url":null,"abstract":"<p>This perspective argues that current methods for predicting biodiversity loss from future land use and climate change models are incomplete without incorporating projections of genetic diversity. Without methods to estimate current and future changes in genetic diversity, we cannot fully anticipate extinction risk, nor can we measure progress toward conservation targets. This oversight threatens to undermine our most ambitious biodiversity goals. We need a vanguard shift in how forecasting is approached, one that integrates genetic data into global biodiversity models.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 8","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.70477","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining Observations and Models: A Review of the CARDAMOM Framework for Data-Constrained Terrestrial Ecosystem Modeling","authors":"Matthew A. Worden,&nbsp;T. Eren Bilir,&nbsp;A. Anthony Bloom,&nbsp;Jianing Fang,&nbsp;Lily P. Klinek,&nbsp;Alexandra G. Konings,&nbsp;Paul A. Levine,&nbsp;David T. Milodowski,&nbsp;Gregory R. Quetin,&nbsp;T. Luke Smallman,&nbsp;Yinon M. Bar-On,&nbsp;Renato K. Braghiere,&nbsp;Cédric H. David,&nbsp;Nina A. Fischer,&nbsp;Pierre Gentine,&nbsp;Tim J. Green,&nbsp;Ayanna Jones,&nbsp;Junjie Liu,&nbsp;Marcos Longo,&nbsp;Shuang Ma,&nbsp;Troy S. Magney,&nbsp;Elias C. Massoud,&nbsp;Vasileios Myrgiotis,&nbsp;Alexander J. Norton,&nbsp;Nick Parazoo,&nbsp;Elahe Tajfar,&nbsp;Anna T. Trugman,&nbsp;Mathew Williams,&nbsp;Sarah Worden,&nbsp;Wenli Zhao,&nbsp;Songyan Zhu","doi":"10.1111/gcb.70462","DOIUrl":"https://doi.org/10.1111/gcb.70462","url":null,"abstract":"<p>The rapid increase in the volume and variety of terrestrial biosphere observations (i.e., remote sensing data and in situ measurements) offers a unique opportunity to derive ecological insights, refine process-based models, and improve forecasting for decision support. However, despite their potential, ecological observations have primarily been used to benchmark process-based models, as many past and current models lack the capability to directly integrate observations and their associated uncertainties for parameterization. In contrast, data assimilation frameworks such as the CARbon DAta MOdel fraMework (CARDAMOM) and its suite of process-based models, known as the Data Assimilation Linked Ecosystem Carbon Model (DALEC), are specifically designed for model-data fusion. This review, motivated by a recent CARDAMOM community workshop, examines the development and applications of CARDAMOM, with an emphasis on its role in advancing ecosystem process understanding. CARDAMOM employs a Bayesian approach, using a Markov Chain Monte Carlo algorithm to enable data-driven calibration of DALEC parameters and initial states (i.e., carbon pool sizes) through observation operators. CARDAMOM's unique ability to retrieve localized model process parameters from diverse datasets—ranging from in situ measurements to global satellite observations—makes it a highly flexible tool for analyzing spatially variable ecosystem responses to environmental change. However, assimilating these data also presents challenges, including data quality issues that propagate into model skill, as well as trade-offs between model complexity, parameter equifinality, and predictive performance. We discuss potential solutions to these challenges, such as reducing parameter equifinality by incorporating new observations. This review also offers community recommendations for incorporating emerging datasets, integrating machine learning techniques, strengthening collaboration with remote sensing, field, and modeling communities, and expanding CARDAMOM's relevance for localized ecosystem monitoring and decision-making. CARDAMOM enables a deep, mechanistic understanding of terrestrial ecosystem dynamics that cannot be achieved through empirical analyses of observational datasets or weakly constrained models alone.</p>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 8","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.70462","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil Virus Life-Strategy Conversion and Implications for Ecosystem and Soil Functions","authors":"Di Tong,&nbsp;Bin Ma,&nbsp;Lingfei Hu,&nbsp;Yong Li,&nbsp;Randy A. Dahlgren,&nbsp;Jianming Xu","doi":"10.1111/gcb.70460","DOIUrl":"https://doi.org/10.1111/gcb.70460","url":null,"abstract":"<div>\u0000 \u0000 <p>Both viral abundance and life state vary across contrasting soil environments and are crucial for mediating microbial metabolism and soil functions. Yet, why soil viruses favor the lytic or lysogenic cycle in a given soil environment, and to what extent they affect soil functions, remains unclear. In this review, we constructed a soil virus abundance dataset containing 691 samples, which for the first time included the lysogenic fraction index to quantify the proportion of soil viruses in the lysogenic state. Moreover, we have assessed the distribution and key drivers of soil viral properties based on 21 soil physicochemical indicators. We also systematically summarized three molecular mechanisms regulating viral lysis–lysogenic transformations that are believed to be widespread in soil environments. We propose a conceptual framework for a transition threshold of viral life strategies based on existing experimental evidence. When environmental stress falls below the critical tolerance level of soil microbes, soil viruses facilitate stress relief. However, once stress exceeds the microbial tolerance threshold, the soil viruses transition to another life cycle, such as from the lysogenic to lytic state. This transition results in completely different effects on microbial metabolic systems and associated soil functions. Further, we documented the role of soil viruses in soil ecosystem functions, highlighting in particular, the importance of the “viral shuttle” and “virovory” mechanisms for soil carbon sequestration and complementary One Health functions. Finally, we provide our perspective on future research needs to advance our understanding of soil virology and its impact on soil functions, particularly in the context of global climate change.</p>\u0000 </div>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 8","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Higher Drought Sensitivity of Autumn Photosynthetic Phenology in Planted Forests Than in Natural Forests of Tropical and Subtropical China","authors":"Yue Xu,&nbsp;Yufeng Gong,&nbsp;Shouzhi Chen,&nbsp;Rongqi Tang,&nbsp;Zhenhong Hu,&nbsp;Yongshuo Fu","doi":"10.1111/gcb.70434","DOIUrl":"https://doi.org/10.1111/gcb.70434","url":null,"abstract":"<div>\u0000 \u0000 <p>Severe droughts advance autumn phenology, reducing terrestrial ecosystem productivity and carbon sequestration. Approximately 25% of China's tropical/subtropical forests are planted for climate mitigation, yet differences in drought sensitivity of autumn phenology between planted and natural forests remain unclear. In this study, we used four phenological fitting methods to extract end-of-photosynthetic-growing-season (EOPS) dates in China's tropical/subtropical forests over the period 2001–2020, and employed ridge regression to assess the difference in response of EOPS to drought (the standardized precipitation evapotranspiration index, SPEI) between natural and planted forests. The results showed that planted forests exhibited significantly later mean EOPS, with day of year (DOY) of 274 versus 269, greater interannual variability measured by standard deviation (SD) of 7.1 versus 6.3 (<i>p</i> &lt; 0.05), and comparable delaying trends of 0.33 versus 0.32 days per year, relative to natural forests. Importantly, EOPS sensitivity to SPEI was double higher in planted forests (0.12 vs. 0.06 per unit, <i>p</i> &lt; 0.01). Projections for 2021–2100 based on partial least squares regression indicate that planted forests will experience a ~5-day later mean EOPS, greater interannual variability (by 0.8 and 1.4 days under the SSP245 and SSP585 scenarios, respectively), but a slower delaying trend (0.05 and 0.06 days year⁻¹) compared to natural forests. These results reveal planted forests' heightened drought sensitivity threatens to shorten growing seasons under intensifying droughts, undermining carbon sequestration efficiency in afforestation programs.</p>\u0000 </div>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 8","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plant Functional Traits Define Microbial Response to Nutrient Availability in Tropical Rainforest Soil","authors":"Jie Chen,&nbsp;Yanpeng Li,&nbsp;Han Xu,&nbsp;Zhang Zhou,&nbsp;Dexiang Chen,&nbsp;Xiaomin Ma,&nbsp;Yide Li,&nbsp;Zhanfeng Liu,&nbsp;Hans Lambers,&nbsp;Yakov Kuzyakov","doi":"10.1111/gcb.70457","DOIUrl":"https://doi.org/10.1111/gcb.70457","url":null,"abstract":"<div>\u0000 \u0000 <p>High global inputs of nitrogen (N) compared with relatively low inputs of phosphorus (P) increase nutrient imbalances that may cause substantial shifts in plant functional traits and modulate resource utilization strategies, which are associated with soil microbial communities. These community-level trait-based adaptations and the responses of soil microbiomes to the projected nutrient changes remain largely unexplored. Here, we characterized the nutrient-induced shifts in plant functional traits and microbial communities in P-limited tropical rainforest soils by combining spatial multivariate analyses across 160 km² of primary and secondary tropical rainforest with an in situ 14-year nutrient addition experiment. The links between plant traits and microbial composition depending on soil N and P contents were examined to test how vegetation regulates the responses of microbial communities to nutrient input. Elevated soil N increased P limitation and thus led to a shift in leaf traits representing a conservative economy, as indicated by increases in leaf N:P ratios and leaf dry matter content. In response to the conservative shift in plant traits, soil bacterial r-strategists, arbuscular mycorrhizal and saprotrophic fungal guilds increased in relative abundance and thus were consistently enriched with increasing N content in soil. Addition of P to soil, however, led to increases in vegetation traits for acquisition economy, characterized by increases in leaf P content, specific leaf area, and trait diversity. With the shift to traits for acquisition in high-P soils, the relative abundance of bacterial K-strategists and ectomycorrhizal fungi rasied. Thus, vegetation traits have selective effects on soil microbiomes to acquire specific functions needed for P acquisition in P deficient tropical soil, which may, in turn, accelerate nutrient cycles and impact soil carbon sequestration. Our results suggest that models need to incorporate plant traits in predicting microbial dynamics and the associated functions under changing nutrient conditions.</p>\u0000 </div>","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"31 8","pages":""},"PeriodicalIF":12.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144894344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}