{"title":"Contrasting Exogenous and Endogenous Soil Microbial Carbon Use Efficiencies Under Global Changes","authors":"Xiaodong Sun, Chenyang Zhang, Zhenghu Zhou, Yakov Kuzyakov, Yiqi Luo, Xuhui Wang, Xiaobo Qin, Bin Wang, Yue Li, Minggang Xu, Andong Cai","doi":"10.1111/geb.70027","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aim</h3>\n \n <p>Microbial carbon use efficiency (CUE) is one of the key indicators for the formation and release of soil carbon. CUE can be divided into exogenous CUE (CUE<sub>ex</sub>, efficiency in using external carbon sources measured by e.g. <sup>13</sup>C or <sup>14</sup>C labeling) and endogenous CUE (CUE<sub>en</sub>, efficiency in using internal carbon sources measured by <sup>18</sup>O labeling). Global changes strongly influence CUE, which response depends on the carbon source. However, the effect size and drivers of CUE<sub>ex</sub> and CUE<sub>en</sub> responses to global changes remain unclear, leading to large uncertainties when forecasting terrestrial carbon cycling. We aimed to quantify the magnitude and direction of microbial CUE<sub>ex</sub> and CUE<sub>en</sub> responses to global changes.</p>\n </section>\n \n <section>\n \n <h3> Location</h3>\n \n <p>Global.</p>\n </section>\n \n <section>\n \n <h3> Time Period</h3>\n \n <p>2011–2024.</p>\n </section>\n \n <section>\n \n <h3> Major Taxa Studied</h3>\n \n <p>Soil microorganisms.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Database containing 213 paired microbial CUE<sub>ex</sub> and 155 paired microbial CUE<sub>en</sub> data was integrated and meta-analysed to assess the impacts of global change factors on microbial CUE. Additional information gathered encompassed latitude, longitude, climate, plant properties, soil properties, microbial properties and experimental conditions.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We found that CUE<sub>ex</sub> decreased with absolute latitude, while CUE<sub>en</sub> showed the opposite trend. Warming reduced CUE<sub>ex</sub> and CUE<sub>en</sub> by 3.6% and 16.5%, respectively. Drought increased CUE<sub>ex</sub> by 7.9%, but decreased CUE<sub>en</sub> by 14.3%. Nutrient inputs consistently decreased CUE<sub>ex</sub> by 5.0%–17.1%, while nitrogen and nitrogen combined with phosphorus and potassium inputs increased CUE<sub>en</sub> by 25.5% and 43.1%, respectively. Aridity index, soil pH and cation exchange capacity were the main factors influencing microbial CUE<sub>ex</sub>. In contrast, microbial respiration and growth rates, followed by microbial biomass, were the major predictors of microbial CUE<sub>en</sub>.</p>\n </section>\n \n <section>\n \n <h3> Main Conclusions</h3>\n \n <p>Biogeochemical models should account for the opposite spatial patterns of microbial CUE<sub>ex</sub> and CUE<sub>en</sub>, as well as their respective specific drivers under global changes, to accurately predict microbial responses to various carbon sources.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70027","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.70027","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim
Microbial carbon use efficiency (CUE) is one of the key indicators for the formation and release of soil carbon. CUE can be divided into exogenous CUE (CUEex, efficiency in using external carbon sources measured by e.g. 13C or 14C labeling) and endogenous CUE (CUEen, efficiency in using internal carbon sources measured by 18O labeling). Global changes strongly influence CUE, which response depends on the carbon source. However, the effect size and drivers of CUEex and CUEen responses to global changes remain unclear, leading to large uncertainties when forecasting terrestrial carbon cycling. We aimed to quantify the magnitude and direction of microbial CUEex and CUEen responses to global changes.
Location
Global.
Time Period
2011–2024.
Major Taxa Studied
Soil microorganisms.
Methods
Database containing 213 paired microbial CUEex and 155 paired microbial CUEen data was integrated and meta-analysed to assess the impacts of global change factors on microbial CUE. Additional information gathered encompassed latitude, longitude, climate, plant properties, soil properties, microbial properties and experimental conditions.
Results
We found that CUEex decreased with absolute latitude, while CUEen showed the opposite trend. Warming reduced CUEex and CUEen by 3.6% and 16.5%, respectively. Drought increased CUEex by 7.9%, but decreased CUEen by 14.3%. Nutrient inputs consistently decreased CUEex by 5.0%–17.1%, while nitrogen and nitrogen combined with phosphorus and potassium inputs increased CUEen by 25.5% and 43.1%, respectively. Aridity index, soil pH and cation exchange capacity were the main factors influencing microbial CUEex. In contrast, microbial respiration and growth rates, followed by microbial biomass, were the major predictors of microbial CUEen.
Main Conclusions
Biogeochemical models should account for the opposite spatial patterns of microbial CUEex and CUEen, as well as their respective specific drivers under global changes, to accurately predict microbial responses to various carbon sources.
期刊介绍:
Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.