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      Vital roles of soil microbes in driving terrestrial nitrogen immobilization

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          Abstract

          Nitrogen immobilization usually leads to nitrogen retention in soil and, thus, influences soil nitrogen supply for plant growth. Understanding soil nitrogen immobilization is important for predicting soil nitrogen cycling under anthropogenic activities and climate changes. However, the global patterns and drivers of soil nitrogen immobilization remain unclear. We synthesized 1350 observations of gross soil nitrogen immobilization rate (NIR) from 97 articles to identify patterns and drivers of NIR. The global mean NIR was 8.77 ± 1.01 mg N kg-1  soil day-1 . It was 5.55 ± 0.41 mg N kg-1  soil day-1 in croplands, 15.74 ± 3.02 mg N kg-1  soil day-1 in wetlands, and 15.26 ± 2.98 mg N kg-1  soil day-1 in forests. The NIR increased with mean annual temperature, precipitation, soil moisture, soil organic carbon, total nitrogen, dissolved organic nitrogen, ammonium, nitrate, phosphorus, and microbial biomass carbon. But it decreased with soil pH. The results of structural equation models showed that soil microbial biomass carbon was a pivotal driver of NIR, because temperature, total soil nitrogen, and soil pH mostly indirectly influenced NIR via changing soil microbial biomass. Moreover, microbial biomass carbon accounted for most of the variations in NIR among all direct relationships. Furthermore, the efficiency of transforming the immobilized nitrogen to microbial biomass nitrogen was lower in croplands than in natural ecosystems (i.e., forests, grasslands, and wetlands). These findings suggested that soil nitrogen retention may decrease under the land use change from forests or wetlands to croplands, but NIR was expected to increase due to increased microbial biomass under global warming. The identified patterns and drivers of soil nitrogen immobilization in this study are crucial to project the changes in soil nitrogen retention.

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          Author and article information

          Contributors
          Journal
          Global Change Biology
          Glob. Change Biol.
          Wiley
          1354-1013
          1365-2486
          May 2021
          March 04 2021
          May 2021
          : 27
          : 9
          : 1848-1858
          Affiliations
          [1 ]Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
          [2 ]College of Resources and Environment, and Academy of Agricultural Sciences Southwest University Chongqing China
          [3 ]National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources Key Laboratory of Agricultural Environment in Universities of Shandong College of Resources and Environment Shandong Agricultural University Taian China
          [4 ]Center for Ecosystem Science and Society Department of Biological Sciences Northern Arizona University Flagstaff AZ USA
          [5 ]College of Resources and Environment University of Chinese Academy of Sciences Beijing China
          [6 ]Key Laboratory for Forest Resources and Ecosystem Processes Beijing Forestry University Beijing China
          [7 ]College of Resources and Environmental Sciences China Agricultural University Beijing China
          [8 ]College of Environmental Science and Engineering Yangzhou University Yangzhou China
          [9 ]Department of Mathematics and Statistics Northern Arizona University Flagstaff AZ USA
          Article
          10.1111/gcb.15552
          33560594
          d69c77a9-fe19-4b04-b321-ba2d5181b585
          © 2021

          http://onlinelibrary.wiley.com/termsAndConditions#vor

          http://doi.wiley.com/10.1002/tdm_license_1.1

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