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Hu Z, Michaletz ST, Johnson DJ, McDowell NG, Huang Z, Zhou X, Xu C. Traits drive global wood decomposition rates more than climate. GLOBAL CHANGE BIOLOGY 2018; 24:5259-5269. [PMID: 29901246 DOI: 10.1111/gcb.14357] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 04/22/2018] [Accepted: 05/14/2018] [Indexed: 05/21/2023]
Abstract
Wood decomposition is a major component of the global carbon cycle. Decomposition rates vary across climate gradients, which is thought to reflect the effects of temperature and moisture on the metabolic kinetics of decomposers. However, decomposition rates also vary with wood traits, which may reflect the influence of stoichiometry on decomposer metabolism as well as geometry relating the surface areas that decomposers colonize with the volumes they consume. In this paper, we combined metabolic and geometric scaling theories to formalize hypotheses regarding the drivers of wood decomposition rates, and assessed these hypotheses using a global compilation of data on climate, wood traits, and wood decomposition rates. Our results are consistent with predictions from both metabolic and geometric scaling theories. Approximately half of the global variation in decomposition rates was explained by wood traits (nitrogen content and diameter), whereas only a fifth was explained by climate variables (air temperature, precipitation, and relative humidity). These results indicate that global variation in wood decomposition rates is best explained by stoichiometric and geometric wood traits. Our findings suggest that inclusion of wood traits in global carbon cycle models can improve predictions of carbon fluxes from wood decomposition.
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Affiliation(s)
- Zhenhong Hu
- Center for Global Change and Ecological Forecasting, Tiantong National Station for Forest Ecosystem Research, School of Ecological and Environmental Sciences, ECNU-UH Joint Translational Science and Technology Research Institute, East China Normal University, Shanghai, China
- College of Natural Resources and Environment, South China Agricultural University, Guangzhou, China
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Sean T Michaletz
- Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico
- Biosphere 2 and Department of Ecology and Evolutionary Biology, University of Arizona, Arizona, Tucson
| | - Daniel J Johnson
- Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - Nate G McDowell
- Earth Systems Analysis and Modeling Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Zhiqun Huang
- Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, China
| | - Xuhui Zhou
- Center for Global Change and Ecological Forecasting, Tiantong National Station for Forest Ecosystem Research, School of Ecological and Environmental Sciences, ECNU-UH Joint Translational Science and Technology Research Institute, East China Normal University, Shanghai, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China
| | - Chonggang Xu
- Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico
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Deng Y, Ning D, Qin Y, Xue K, Wu L, He Z, Yin H, Liang Y, Buzzard V, Michaletz ST, Zhou J. Spatial scaling of forest soil microbial communities across a temperature gradient. Environ Microbiol 2018; 20:3504-3513. [PMID: 30051570 DOI: 10.1111/1462-2920.14303] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Revised: 04/03/2018] [Accepted: 05/31/2018] [Indexed: 11/29/2022]
Abstract
Temperature is an important correlate of global patterns of biodiversity, yet the mechanisms driving these relationships are not well understood. Taxa-area relationships (TARs) have been intensively examined, but the effects of temperature on TARs, particularly for microbial communities, are largely undocumented. Here we present a continental-scale description of temperature-dependent nested TARs of microbial communities (bacteria and archaea) from soils of six forest sites spanning a temperature gradient from subalpine Colorado to tropical Panama. Our results revealed that spatial scaling rates (z-values) of microbial communities varied with both taxonomic resolutions and phylogenetic groups. Additionally, microbial TAR z-values increased with temperature (r = 0.739, P < 0.05), but were not correlated with other environmental variables tested (P > 0.05), indicating that microbial spatial scaling rate is temperature-dependent. Understanding how temperature affects the spatial scaling of microbial biodiversity is of fundamental importance for preservation of soil biodiversity and management of ecosystems.
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Affiliation(s)
- Ye Deng
- Institute for Marine Science and Technology, Shandong University, Qingdao, 266237, China.,CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.,Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Daliang Ning
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA
| | - Yujia Qin
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA
| | - Kai Xue
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liyou Wu
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA
| | - Zhili He
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA.,School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Huaqun Yin
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA.,School of Minerals Processing and Bioengineering, Central South University, Changsha, 410083, China
| | - Yuting Liang
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA.,State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Vanessa Buzzard
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Sean T Michaletz
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Jizhong Zhou
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, 73019, USA.,Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94270, USA.,State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
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Zhou J, Deng Y, Shen L, Wen C, Yan Q, Ning D, Qin Y, Xue K, Wu L, He Z, Voordeckers JW, Van Nostrand JD, Buzzard V, Michaletz ST, Enquist BJ, Weiser MD, Kaspari M, Waide R, Yang Y, Brown JH. Correspondence: Reply to 'Analytical flaws in a continental-scale forest soil microbial diversity study'. Nat Commun 2017; 8:15583. [PMID: 28585533 PMCID: PMC5467158 DOI: 10.1038/ncomms15583] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Jizhong Zhou
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
- Earth Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94270, USA
| | - Ye Deng
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, China
| | - Lina Shen
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Chongqing Wen
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Qingyun Yan
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Daliang Ning
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Yujia Qin
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Kai Xue
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Liyou Wu
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Zhili He
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - James W. Voordeckers
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Joy D. Van Nostrand
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Vanessa Buzzard
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - Sean T. Michaletz
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - Brian J. Enquist
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA
- The Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, New Mexico 87501, USA
| | - Michael D. Weiser
- EEB Graduate Program, Department of Biology, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Michael Kaspari
- EEB Graduate Program, Department of Biology, University of Oklahoma, Norman, Oklahoma 73019, USA
- Smithsonian Tropical Research Institute, Balboa 0843-03092, Republic of Panama
| | - Robert Waide
- Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - Yunfeng Yang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - James H. Brown
- Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131, USA
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