Journal of Geophysical Research: Biogeosciences最新文献

{"title":"Linking Changes in Plant Growth and Nutrient Stoichiometry With Nitrogen Enrichment in a Meadow Steppe","authors":"Yinliu Wang,&nbsp;Guoxiang Niu,&nbsp;Guojiao Yang,&nbsp;Muqier Hasi,&nbsp;Ang Li,&nbsp;Jianguo Xue,&nbsp;Xiaotao Lü,&nbsp;Xingguo Han,&nbsp;Jianhui Huang","doi":"10.1029/2024JG008270","DOIUrl":"https://doi.org/10.1029/2024JG008270","url":null,"abstract":"<p>Exogenous nitrogen (N) inputs can significantly influence the availability of N and other nutrients in terrestrial ecosystems. However, the connections between soil nutrient dynamics following N enrichment and plant nutrient uptake as well as plant growth responses within a community remain underexplored. Here, we examined the effects of N addition on the dynamics of several macro and micronutrients in soil and three dominant plants on a meadow steppe in China. The results showed that (a) the exchangeable Ca and Mg in the soil initially increased when the N addition rate was lower than 10 g N m⁻² yr⁻¹ and then decreased at higher N addition rates (10–50 g N m⁻² yr⁻¹), whereas the available P and extractable Fe, Mn, and Cu remained relatively stable at low N addition rates but increased at high N addition rates. (b) The response of plant nutrient concentrations and the stoichiometry of these nutrients to N addition was not only species-specific but also showed marked differences especially for those micronutrients. (c) Species with lower variation in nutrient concentrations, such as <i>Leymus chinensis</i> (<i>Lc</i>) and <i>Thermopsis lanceolata</i> (<i>Tl</i>), exhibited increased (for <i>Lc</i>) or stable (for <i>Tl</i>) biomass after N addition, whereas species such as <i>Carex duriuscula</i>, with greater nutrient variability, experienced reduced biomass. These findings suggest that soil acidification induced by exogenous N inputs alters soil nutrient availability and further results in imbalanced plant nutrient uptake and stoichiometries, which will affect the dynamics and structures of plant communities under global change scenarios.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Vertical Mixing, Light Penetration and Phosphorus Cycling Regulate Seasonal Algae Blooms in an Ice-Covered Dimictic Lake","authors":"Alireza Ghane,&nbsp;Leon Boegman","doi":"10.1029/2024JG008258","DOIUrl":"https://doi.org/10.1029/2024JG008258","url":null,"abstract":"<p>Many temperate lakes accumulate sediment derived orthophosphate (PO₄) in their hypolimnion during late-summer deep-water hypoxia. In dimictic lakes, fall turnover will mix the PO₄ through the water column. However, the fate and transport of this primary production limiting nutrient, during winter, is unknown. Does it remain available for the spring bloom, and why does it not trigger a fall bloom in many dimictic lakes? We conducted field observations and supplemented these with three-dimensional physical biogeochemical numerical simulations to gain a deeper understanding of PO₄ transport and cycling within a small dimictic lake from 2011 to 2020. Our focus was particularly on the often-ice-covered winter season. We found, the sediment derived PO₄ to be only a small portion (∼1%) of the total PO₄ load, with most of the load from mineralization (49% ice free, 29% ice covered) and tributary inflows (22%). The accumulated hypolimnetic PO₄ increased the water column concentration during fall turnover, but a fall bloom was not initiated, because the associated mixing transported phytoplankton beneath the photic zone. This PO₄ remained available in the water column during winter and was combined with under-ice mineralized PO₄ to initiate the spring bloom, in a thin stable layer beneath the ice, as solar radiation increased seasonally during spring.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JG008258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Hot or Not? An Evaluation of Methods for Identifying Hot Moments of Nitrous Oxide Emissions From Soils","authors":"Emily R. Stuchiner,&nbsp;Jiacheng Xu,&nbsp;William C. Eddy,&nbsp;Evan H. DeLucia,&nbsp;Wendy H. Yang","doi":"10.1029/2024JG008138","DOIUrl":"https://doi.org/10.1029/2024JG008138","url":null,"abstract":"<p>Effectively quantifying hot moments of nitrous oxide (N₂O) emissions from agricultural soils is critical for managing this potent greenhouse gas. However, we are challenged by a lack of standard approaches for identifying hot moments, including (a) determining thresholds above which emissions are considered hot moments, and (b) considering seasonal variation in the magnitude and frequency distribution of net N₂O fluxes. We used one year of hourly N₂O flux measurements from 16 autochambers that varied in flux magnitude and frequency distribution in a conventionally tilled maize field in central Illinois, USA, to compare three approaches to identify hot moment thresholds: standard deviations (SD) above the mean, 1.5x the interquartile range (IQR), and isolation forest (IF) identification of anomalous values. We also compared these approaches on seasonally subdivided data (early, late, and non-growing seasons) versus the whole year. Our analyses revealed that 1.5x IQR method best identified N₂O hot moments. In contrast, using 2 or 4 SD both yielded hot moment threshold values too high, and IF yielded threshold values too low, leading to missed N₂O hot moments or low net N₂O fluxes mischaracterized as hot moments, respectively. Furthermore, seasonally subdividing the data set not only facilitated identification of smaller hot moments in the late- and non-growing seasons when N₂O hot moments were generally smaller but it also increased hot moment threshold values in the early growing season when N₂O hot moments were larger. Consequently, of the methods evaluated here, we recommend using the 1.5x IQR method on whole year data sets to identify N₂O hot moments.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JG008138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Terrestrial Organic Matter Contributes to CO2 Production From Siberian Shelf Sediments","authors":"Lewis Sauerland,&nbsp;Nicholas Ray,&nbsp;Jannik Martens,&nbsp;Tommaso Tesi,&nbsp;Oleg Dudarev,&nbsp;Örjan Gustafsson,&nbsp;Igor Semiletov,&nbsp;Birgit Wild","doi":"10.1029/2024JG008226","DOIUrl":"https://doi.org/10.1029/2024JG008226","url":null,"abstract":"<p>Arctic climate warming is causing permafrost thaw and erosion, which may lead to enhanced inputs of terrestrial organic matter into Arctic Ocean shelf sediments. Degradation of terrestrial organic matter in sediments might contribute to carbon dioxide production and bottom water acidification. Yet, the degradability of organic matter in shallow Arctic Ocean sediments, as well as the contribution of terrestrial input, is poorly quantified. Here, potential organic matter degradation rates were investigated for 16 surface sediments from the Kara Sea, Laptev Sea, and the western East Siberian Sea and compared with physicochemical sediment properties including molecular biomarkers, stable and radioactive carbon isotopes, and grain size. Aerobic oxygen and carbon dioxide fluxes, measured in laboratory incubations of sediment slurry, showed high spatial variability and correlated significantly with organic carbon content as well as with the amount and degradation state of terrestrial organic matter. The dependency on terrestrial organic matter declined with increasing distance from land, indicating that the presence of terrestrial organic matter is likely a constraining factor for organic matter degradation in shallow shelf seas. However, sediment oxygen consumption rates, measured in incubations of intact sediment cores, also exhibited substantial spatial variability but were not related to organic carbon content or terrestrial influence. Oxygen consumption of intact sediments may be more strongly influenced by in situ redox conditions. Together with previous observations, our findings support that terrestrial organic matter is easily degradable in shelf sea sediments and might substantially contribute to aerobic carbon dioxide production and oxygen consumption.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JG008226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Comparison of Global Aboveground Biomass Estimates From Satellite Observations and Dynamic Global Vegetation Models","authors":"Bassil El Masri,&nbsp;Jingfeng Xiao","doi":"10.1029/2024JG008305","DOIUrl":"https://doi.org/10.1029/2024JG008305","url":null,"abstract":"<p>The global forest carbon stocks represent the amount of carbon stored in woody vegetation and are important for quantifying the ability of the global forests to sequester atmospheric CO₂ and to provide ecosystem services (e.g., timber) under climate change. The forest ecosystem carbon pool estimates are highly variable and poorly quantified in areas lacking forest inventory estimates. Here, we compare and analyze aboveground biomass (AGB) estimates from five satellite-based global data sets and nine dynamic global vegetation models (DVGMs). We find that across the data sets, mean AGB exhibits the largest variability around the tropical area. In addition, AGB shows a similar latitudinal trend but large variability among the data sets. Satellite-based AGB estimates are lower than those simulated by DVGMs. The divergence among the satellite-based AGB estimates can be driven by the methodology, input satellite products, and the forested areas used to estimate AGB. The modeled NPP, autotrophic respiration, and carbon allocation mostly drive the variability of AGB simulated by DGVMs. The future availability of a high-quality global forest area map is anticipated to improve AGB estimate accuracy and to reduce the discrepancies among different satellite- and model-based AGB estimates. We suggest the carbon-modeling community reexamine the methodology used to estimate AGB and forested areas for a more robust global forest carbon stock estimation.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Thermal Adaptation of Enzyme-Mediated Processes Reduces Simulated Soil CO2 Fluxes Upon Soil Warming","authors":"Marijn Van de Broek,&nbsp;William J. Riley,&nbsp;Jinyun Tang,&nbsp;Serita D. Frey,&nbsp;Michael W. I. Schmidt","doi":"10.1029/2024JG008619","DOIUrl":"https://doi.org/10.1029/2024JG008619","url":null,"abstract":"<p>Understanding factors influencing carbon effluxes from soils to the atmosphere is important in a world experiencing climatic change. Two important uncertainties related to soil organic carbon (SOC) stock responses to a changing climate are (a) whether soil microbial communities acclimate or adapt to changes in soil temperature and (b) how to represent this process in SOC models. To further explore these issues, we included thermal adaptation of enzyme-mediated processes in a mechanistic SOC model (ReSOM) using the macromolecular rate theory. Thermal adaptation is defined here to encompass all potential responses of soil microbes and microbial communities following a change in temperature. To assess the effects of thermal adaptation of enzyme-mediated processes on simulated SOC losses, ReSOM was applied to data collected from a 13-year soil warming experiment. Results show that a model omitting thermal adaptation of enzyme-mediated processes substantially overestimates observed CO₂ effluxes during the initial years of soil warming. The bias against observed CO₂ effluxes was lower for models including thermal adaptation of enzyme-mediated processes. In addition, for a simulated linear 3°C soil warming over 100 years, models including thermal adaptation of enzyme-mediated processes simulated SOC losses of a factor of three smaller than models omitting this process. As thermal adaptation of microbial community characteristics is generally not included in models simulating feedback between the soil, biosphere and atmosphere, we encourage future studies to assess the potential impact that microbial adaptation has on soil carbon – climate feedback representations in models.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"129 12","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Spectral Induced Polarization Response of Bacteria Growth and Decay in Soil Column Experiments","authors":"Yalin Song,&nbsp;Xiaoqing Shi,&nbsp;André Revil,&nbsp;Ahmad Ghorbani,&nbsp;Siyuan Qiang,&nbsp;Kun Xing,&nbsp;Xueyuan Kang,&nbsp;Qilin Wang,&nbsp;Jichun Wu","doi":"10.1029/2024JG008050","DOIUrl":"https://doi.org/10.1029/2024JG008050","url":null,"abstract":"<p>Spectral induced polarization (SIP) exhibits potential to be a nonintrusive approach to monitor bacterial activity in biological hotspots associated with the critical zone of the earth. The polarization of bacteria in a low-frequency electrical field is related to the polarization of their electrical double layer coating their surface. However, few studies have quantified the induced polarization responses on both gram-negative (GN) and gram-positive (GP) bacteria in soil column experiments. To address this gap, 17 experiments using two strains, <i>Pseudomonas aeruginosa</i> O1 (PAO1, GN) and <i>Brevibacillus centrosporus</i> (L3, GP) are conducted. Complex conductivity spectra are collected in the frequency range 10 mHz–10 kHz during bacterial growth and decay phases in soils. The complex conductivity spectra are fitted using a double Cole-Cole model to remove the effect of Maxwell-Wagner polarization. The change in the magnitude of the polarization (quadrature conductivity or normalized chargeability of the low-frequency contribution) is linearly related to the bacterial density, regardless of the type of bacteria. The changes in the normalized chargeability and Cole-Cole relaxation time are directly proportional to the density of bacteria. Furthermore, it is inferred that the thickness of microcolonies plays a critical role in the relaxation time rather than the diameter of individual bacteria. This study expands the potential of SIP for in situ monitoring of microbial activity in soils.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"129 12","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Controls on Lake Pelagic Primary Productivity: Formalizing the Nutrient-Color Paradigm","authors":"Isabella A. Oleksy,&nbsp;Christopher T. Solomon,&nbsp;Stuart E. Jones,&nbsp;Carly Olson,&nbsp;Brittni L. Bertolet,&nbsp;Rita Adrian,&nbsp;Sheel Bansal,&nbsp;Jill S. Baron,&nbsp;Soren Brothers,&nbsp;Sudeep Chandra,&nbsp;Hsiu-Mei Chou,&nbsp;William Colom-Montero,&nbsp;Joshua Culpepper,&nbsp;Elvira de Eyto,&nbsp;Matthew J. Farragher,&nbsp;Sabine Hilt,&nbsp;Kristen T. Holeck,&nbsp;Garabet Kazanjian,&nbsp;Marcus Klaus,&nbsp;Jennifer Klug,&nbsp;Jan Köhler,&nbsp;Alo Laas,&nbsp;Erik Lundin,&nbsp;Alice H. Parkes,&nbsp;Kevin C. Rose,&nbsp;Lars G. Rustam,&nbsp;James Rusak,&nbsp;Facundo Scordo,&nbsp;Michael J. Vanni,&nbsp;Piet Verburg,&nbsp;Gesa A. Weyhenmeyer","doi":"10.1029/2024JG008140","DOIUrl":"https://doi.org/10.1029/2024JG008140","url":null,"abstract":"<p>Understanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. In lakes, pelagic gross primary productivity (GPP) is strongly controlled by inputs of nutrients and dissolved organic matter. Although past studies have developed process models of this nutrient-color paradigm (NCP), broad empirical tests of these models are scarce. We used data from 58 globally distributed, mostly temperate lakes to test such a model and improve understanding and prediction of the controls on lake primary production. The model includes three state variables–dissolved phosphorus, terrestrial dissolved organic carbon (DOC), and phytoplankton biomass–and generates realistic predictions for equilibrium rates of pelagic GPP. We calibrated our model using a Bayesian data assimilation technique on a subset of lakes where DOC and total phosphorus (TP) loads were known. We then asked how well the calibrated model performed with a larger set of lakes. Revised parameter estimates from the updated model aligned well with existing literature values. Observed GPP varied nonlinearly with both inflow DOC and TP concentrations in a manner consistent with increasing light limitation as DOC inputs increased and decreasing nutrient limitation as TP inputs increased. Furthermore, across these diverse lake ecosystems, model predictions of GPP were highly correlated with observed values derived from high-frequency sensor data. The GPP predictions using the updated parameters improved upon previous estimates, expanding the utility of a process model with simplified assumptions for water column mixing. Our analysis provides a model structure that may be broadly useful for understanding current and future patterns in lake primary production.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"129 12","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Seasonal Differences in Vegetation Susceptibility to Soil Drought During 2001–2021","authors":"Jiwang Tang,&nbsp;Ben Niu,&nbsp;Jinlong Peng,&nbsp;Zhigang Hu,&nbsp;Ziwei Zhang,&nbsp;Xianzhou Zhang","doi":"10.1029/2024JG008330","DOIUrl":"https://doi.org/10.1029/2024JG008330","url":null,"abstract":"<p>Droughts typically exert negative effects on vegetation growth, which largely depend on the timing of drought onset. However, huge inconsistencies exist in the seasonal vegetation response to drought among diverse regions across the globe. Here, using the leaf area index (LAI) and solar-induced chlorophyll fluorescence (SIF), we quantified the vegetation susceptibility by calculating the coincidence rate between vegetation suppression extremes and soil droughts, and further investigated the spatiotemporal changes of vegetation susceptibility during different seasons from 2001 to 2021. We found the vegetation during summer and dry seasons were most susceptible to soil droughts in the extra-tropics and tropics, respectively. Temporally, the autumn vegetation susceptibility was strengthening in drought-susceptible regions of extra-tropics, albeit with insignificant change during spring, summer and the entire growing season. Both the dry and wet seasons showed evidently increasing vegetation susceptibility on the dry tropical ecosystems, which dominated the enhanced vegetation susceptibility of global drought-susceptible regions. Our findings determined the spatial pattern of most susceptible seasons to soil droughts across the globe and highlighted the enhanced risk to soil droughts, especially in the dry tropics.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"129 12","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Patterns of Carbon and Nitrogen Accumulation in Seagrass (Posidonia oceanica) Meadows of the Eastern Mediterranean Sea","authors":"Eugenia T. Apostolaki,&nbsp;Paul S. Lavery,&nbsp;Victoria Litsi-Mizan,&nbsp;Eduard Serrano,&nbsp;Karina Inostroza,&nbsp;Vasilis Gerakaris,&nbsp;Thanos Dailianis,&nbsp;Julius Glampedakis,&nbsp;Tara Holitzki,&nbsp;Erik Johnson,&nbsp;Miguel A. Mateo,&nbsp;Oscar Serrano","doi":"10.1029/2024JG008163","DOIUrl":"https://doi.org/10.1029/2024JG008163","url":null,"abstract":"<p>The variability in stocks and accumulation rates of organic carbon (C_org), nitrogen (N), and carbonate (CaCO₃) was studied in fifteen <i>Posidonia oceanica</i> meadows spread throughout the South Aegean Sea (Greece). In addition, the abiotic and biotic drivers determining the pattern of variability in the accumulation rates were assessed by exploring the influence of sediment characteristics, seagrass traits, and environmental settings. The meadows supported on average (±STDEV) 14.6 ± 5.0 kg C_org m⁻², 0.47 ± 0.17 kg N m⁻², and 249 ± 210 kg CaCO₃ m⁻² in the top meter of their sediments, with mean accumulation rates over the last 500 years of 33.6 ± 23.6 g C_org m⁻² yr⁻¹, 1.00 ± 0.62 g N m⁻² yr⁻¹, and 405 ± 336 g CaCO₃ m⁻² yr⁻¹ across sites. A redundancy analysis (RDA) explained 70% of the variation in C_org, N, and CaCO₃ accumulation rates, with three sediment characteristics (i.e., sediment C_org:N and C_org:C_inorg ratios and <i>P</i>. <i>oceanica</i> contribution to the sediment C_org pool) emerging as the primary set of factors shaping the accumulation of matter, followed by seagrass traits (i.e., leaf biomass and rhizome elongation) and environmental variables (i.e., suspended organic matter). The high degree of variability within the region emphasizes the need for fine-scale assessments to understand the local conditions influencing sequestration. Our findings underscored the critical role of seagrass meadows in carbon and nitrogen sequestration in the region, urging conservation efforts to protect these ecosystems and prevent potential losses of stored carbon and nitrogen following seagrass degradation.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"129 12","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JG008163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}