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He Y, Bond-Lamberty B, Myers-Pigg AN, Newcomer ME, Ladau J, Holmquist JR, Brown JB, Falco N. Effects of spatial variability in vegetation phenology, climate, landcover, biodiversity, topography, and soil property on soil respiration across a coastal ecosystem. Heliyon 2024; 10:e30470. [PMID: 38726202 PMCID: PMC11079102 DOI: 10.1016/j.heliyon.2024.e30470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/21/2024] [Accepted: 04/26/2024] [Indexed: 05/12/2024] Open
Abstract
Coastal terrestrial-aquatic interfaces (TAIs) are crucial contributors to global biogeochemical cycles and carbon exchange. The soil carbon dioxide (CO2) efflux in these transition zones is however poorly understood due to the high spatiotemporal dynamics of TAIs, as various sub-ecosystems in this region are compressed and expanded by complex influences of tides, changes in river levels, climate, and land use. We focus on the Chesapeake Bay region to (i) investigate the spatial heterogeneity of the coastal ecosystem and identify spatial zones with similar environmental characteristics based on the spatial data layers, including vegetation phenology, climate, landcover, diversity, topography, soil property, and relative tidal elevation; (ii) understand the primary driving factors affecting soil respiration within sub-ecosystems of the coastal ecosystem. Specifically, we employed hierarchical clustering analysis to identify spatial regions with distinct environmental characteristics, followed by the determination of main driving factors using Random Forest regression and SHapley Additive exPlanations. Maximum and minimum temperature are the main drivers common to all sub-ecosystems, while each region also has additional unique major drivers that differentiate them from one another. Precipitation exerts an influence on vegetated lands, while soil pH value holds importance specifically in forested lands. In croplands characterized by high clay content and low sand content, the significant role is attributed to bulk density. Wetlands demonstrate the importance of both elevation and sand content, with clay content being more relevant in non-inundated wetlands than in inundated wetlands. The topographic wetness index significantly contributes to the mixed vegetation areas, including shrub, grass, pasture, and forest. Additionally, our research reveals that dense vegetation land covers and urban/developed areas exhibit distinct soil property drivers. Overall, our research demonstrates an efficient method of employing various open-source remote sensing and GIS datasets to comprehend the spatial variability and soil respiration mechanisms in coastal TAI. There is no one-size-fits-all approach to modeling carbon fluxes released by soil respiration in coastal TAIs, and our study highlights the importance of further research and monitoring practices to improve our understanding of carbon dynamics and promote the sustainable management of coastal TAIs.
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Affiliation(s)
- Yinan He
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720-8126, USA
| | - Ben Bond-Lamberty
- Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, 20740, USA
| | - Allison N. Myers-Pigg
- Marine and Coastal Research Laboratory, Pacific Northwest National Laboratory, Sequim, WA, 98382, USA
- Department of Environmental Sciences, University of Toledo, Toledo, OH, 43606, USA
| | - Michelle E. Newcomer
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720-8126, USA
| | - Joshua Ladau
- Computational Biosciences Group, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA
| | - James R. Holmquist
- Smithsonian Environmental Research Center, 647 Contees Wharf Road, Edgewater, MD, 21037, USA
| | - James B. Brown
- Computational Biosciences Group, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA
| | - Nicola Falco
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720-8126, USA
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2
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Liu Y, Men M, Peng Z, Chen HYH, Yang Y, Peng Y. Spatially explicit estimate of nitrogen effects on soil respiration across the globe. GLOBAL CHANGE BIOLOGY 2023; 29:3591-3600. [PMID: 37052888 DOI: 10.1111/gcb.16716] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 04/03/2023] [Indexed: 06/06/2023]
Abstract
Soil respiration (Rs), as the second largest flux of carbon dioxide (CO2 ) between terrestrial ecosystems and the atmosphere, is vulnerable to global nitrogen (N) enrichment. However, the global distribution of the N effects on Rs remains uncertain. Here, we compiled a new database containing 1282 observations of Rs and its heterotrophic component (Rh) in field N manipulative experiments from 317 published papers. Using this up-to-date database, we first performed a formal meta-analysis to explore the responses of Rs and Rh to N addition, and then presented a global spatially explicit quantification of the N effects using a Random Forest model. Our results showed that experimental N addition significantly increased Rs but had a minimal impact on Rh, not supporting the prevailing view that N enrichment inhibits soil microbial respiration. For the major biomes, the magnitude of N input was the main determinant of the spatial variation in Rs response, while the most important predictors for Rh response were biome specific. Based on the key predictors, global mapping visually demonstrated a positive N effect in the regions with higher anthropogenic N inputs (i.e., atmospheric N deposition and agricultural fertilization). Overall, our analysis not only provides novel insight into the N effects on soil CO2 fluxes, but also presents a spatially explicit assessment of the N effects at the global scale, which are pivotal for understanding ecosystem carbon dynamics in future scenarios with more frequent anthropogenic activities.
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Affiliation(s)
- Yang Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environmental Sciences, Key Laboratory of Farmland Eco-Environment of Hebei, Hebei Agricultural University, Baoding, China
| | - Mingxin Men
- College of Resources and Environmental Sciences, Key Laboratory of Farmland Eco-Environment of Hebei, Hebei Agricultural University, Baoding, China
| | - Zhengping Peng
- College of Resources and Environmental Sciences, Key Laboratory of Farmland Eco-Environment of Hebei, Hebei Agricultural University, Baoding, China
| | - Han Y H Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Yuanhe Yang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yunfeng Peng
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
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3
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Perez-Quezada JF, Barichivich J, Urrutia-Jalabert R, Carrasco E, Aguilera D, Bacour C, Lara A. Warming and drought weaken the carbon sink capacity of an endangered paleoendemic temperate rainforest in South America. JOURNAL OF GEOPHYSICAL RESEARCH. BIOGEOSCIENCES 2023; 128:2022jg007258. [PMID: 37457913 PMCID: PMC7614759 DOI: 10.1029/2022jg007258] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 03/14/2023] [Indexed: 07/18/2023]
Abstract
Measurements of ecosystem carbon (C) fluxes in temperate forests are concentrated in the Northern Hemisphere, leaving the functionally diverse temperate forests in the Southern Hemisphere underrepresented. Here, we report three years (February 2018-January 2021) of C fluxes, studied with eddy-covariance and closed chamber techniques, in an endangered temperate evergreen rainforest of the long-lived paleoendemic South American conifer Fitzroya cupressoides. Using classification and regression trees we analyzed the most relevant drivers and thresholds of daily net ecosystem exchange (NEE) and soil respiration. The annual NEE showed that the forest was a moderate C sink during the period analyzed (-287±38 g C m-2 year -1). We found that the capacity to capture C of the Fitzroya rainforests in the Coastal Range of southern Chile is optimal under cool and rainy conditions in the early austral spring (October-November) and decreases rapidly towards the summer dry season (January-February) and autumn. Although the studied forest type has a narrow geographical coverage, the gross primary productivity measured at the tower was highly representative of Fitzroya and other rainforests in the region. Our results suggest that C fluxes in paleoendemic cool F. cupressoides forests may be negatively affected by the warming and drying predicted by climate change models, reinforcing the importance of maintaining this and other long-term ecological research sites in the Southern Hemisphere.
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Affiliation(s)
- Jorge F. Perez-Quezada
- Department of Environmental Science and Renewable Natural Resources, University of Chile, Avenida Santa Rosa 11315, Santiago, Chile
- Institute of Ecology and Biodiversity, Victoria 631, Barrio Universitario, Concepción, Chile
- Cape Horn International Institute, Ave. Bulnes 01855, Punta Arenas, Chile
| | - Jonathan Barichivich
- Laboratorio de Dendrocronología y Cambio Global, Instituto de Conservación, Biodiversidad y Territorio, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Valdivia, Chile
- Laboratoire des Sciences du Climat et de l’Environnement (LSCE), LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Rocío Urrutia-Jalabert
- Laboratorio de Dendrocronología y Cambio Global, Instituto de Conservación, Biodiversidad y Territorio, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Valdivia, Chile
- Departamento de Ciencias Naturales y Tecnología, Universidad de Aysén, Coyhaique, Chile
- Center for Climate and Resilience Research (CR)2, Universidad de Chile, Santiago, Chile
| | - Enrique Carrasco
- Laboratorio de Dendrocronología y Cambio Global, Instituto de Conservación, Biodiversidad y Territorio, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Valdivia, Chile
| | - David Aguilera
- Department of Environmental Science and Renewable Natural Resources, University of Chile, Avenida Santa Rosa 11315, Santiago, Chile
| | - Cédric Bacour
- Laboratoire des Sciences du Climat et de l’Environnement (LSCE), LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Antonio Lara
- Laboratorio de Dendrocronología y Cambio Global, Instituto de Conservación, Biodiversidad y Territorio, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Valdivia, Chile
- Center for Climate and Resilience Research (CR)2, Universidad de Chile, Santiago, Chile
- Fundación Centro de los Bosques Nativos FORECOS, Valdivia, Chile
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4
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Yang H, Huang T, Li Y, Liu W, Fu J, Huang B, Yang Q. Spatial heterogeneity and influence mechanisms on soil respiration in an old-growth tropical montane rainforest with complex terrain. Front Ecol Evol 2023. [DOI: 10.3389/fevo.2022.1107421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
IntroductionAlthough numerous studies have investigated ecosystem-scale soil respiration (SR) at different ecosystem, our understanding of spatial heterogeneity of SR at plot scale is still incomplete, especially in tropical rainforests with complex topography. Further, the ecological factors that drive the variability of SR in tropical rainforests is also poorly understood.MethodsHere, we investigated the spatial variations and control mechanisms of SR in a 60-ha plot of old-growth tropical rainforest with complex topography. Specifically, we sampled a 60-ha plot in intervals of 20 m to measure SR with LI-8100, used semi-variogram of geostatistical tools to examine spatial heterogeneity of SR.ResultsThe mean SR rate in this plot was 4.312 ± 0.0410 (SE) μmol m−2 s−1. Geostatistical analysis indicated that the SR rate at this plot had a moderate spatial dependence, with a nugget-to-sill ratio of 68.1%. The coefficients variance of SR was 36.2% and the patch size was approximately 112 m. Stepwise linear regression analysis (involving a multiple regression tree) revealed that the independent factors regulated different types of SR’s. Liner mix-effect models showed that SR was significantly positively related to soil phosphorus and negatively to the slope in the 60-ha plot. Spatial disturbance of SR along multidimensional habitats that an increase in elevation of the multidimensional habitat, which was accompanied by enhanced SOC and soil phosphorous, also increased its SR in the 60-ha plot.DiscussionThis study would be helpful in designing future field experiments for a better understanding of SR at plot scale.
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Zhang M, Sayer EJ, Zhang W, Ye J, Yuan Z, Lin F, Hao Z, Fang S, Mao Z, Ren J, Wang X. Seasonal Influence of Biodiversity on Soil Respiration in a Temperate Forest. PLANTS (BASEL, SWITZERLAND) 2022; 11:3391. [PMID: 36501430 PMCID: PMC9738006 DOI: 10.3390/plants11233391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Soil respiration in forests contributes to significant carbon dioxide emissions from terrestrial ecosystems but it varies both spatially and seasonally. Both abiotic and biotic factors influence soil respiration but their relative contribution to spatial and seasonal variability remains poorly understood, which leads to uncertainty in models of global C cycling and predictions of future climate change. Here, we hypothesize that tree diversity, soil diversity, and soil properties contribute to local-scale variability of soil respiration but their relative importance changes in different seasons. To test our hypothesis, we conducted seasonal soil respiration measurements along a local-scale environmental gradient in a temperate forest in Northeast China, analyzed spatial variability of soil respiration and tested the relationships between soil respiration and a variety of abiotic and biotic factors including topography, soil chemical properties, and plant and soil diversity. We found that soil respiration varied substantially across the study site, with spatial coefficients of variation (CV) of 29.1%, 27.3% and 30.8% in spring, summer, and autumn, respectively. Soil respiration was consistently lower at high soil water content, but the influence of other factors was seasonal. In spring, soil respiration increased with tree diversity and biomass but decreased with soil fungal diversity. In summer, soil respiration increased with soil temperature, whereas in autumn, soil respiration increased with tree diversity but decreased with increasing soil nutrient content. However, soil nutrient content indirectly enhanced soil respiration via its effect on tree diversity across seasons, and forest stand structure indirectly enhanced soil respiration via tree diversity in spring. Our results highlight that substantial differences in soil respiration at local scales was jointly explained by soil properties (soil water content and soil nutrients), tree diversity, and soil fungal diversity but the relative importance of these drivers varied seasonally in our temperate forest.
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Affiliation(s)
- Mengxu Zhang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
| | - Emma J. Sayer
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
- Smithsonian Tropical Research Institute, Panama City 32402, Panama
| | - Weidong Zhang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Ji Ye
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
| | - Zuoqiang Yuan
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China
| | - Fei Lin
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
| | - Zhanqing Hao
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China
| | - Shuai Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
| | - Zikun Mao
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
| | - Jing Ren
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
| | - Xugao Wang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang 110016, China
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6
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Teramoto M, Hamamoto T, Liang N, Taniguchi T, Ito TY, Hu R, Yamanaka N. Abiotic and biotic factors controlling the dynamics of soil respiration in a coastal dune ecosystem in western Japan. Sci Rep 2022; 12:14320. [PMID: 35995806 PMCID: PMC9395540 DOI: 10.1038/s41598-022-17787-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 07/31/2022] [Indexed: 11/09/2022] Open
Abstract
In this study, we examined the abiotic and biotic factors controlling the dynamics of soil respiration (Rs) while considering the zonal distribution of plant species in a coastal dune ecosystem in western Japan, based on periodic Rs data and continuous environmental data. We set four measurement plots with different vegetation compositions: plot 1 on bare sand; plot 2 on a cluster of young Vitex rotundifolia seedlings; plot 3 on a mixture of Artemisia capillaris and V. rotundifolia; and plot 4 on the inland boundary between the coastal vegetation zone and a Pinus thunbergii forest. Rs increased exponentially along with the seasonal rise in soil temperature, but summer drought stress markedly decreased Rs in plots 3 and 4. There was a significant positive correlation between the natural logarithm of belowground plant biomass and Rs in autumn. Our findings indicate that the seasonal dynamics of Rs in this coastal dune ecosystem are controlled by abiotic factors (soil temperature and soil moisture), but the response of Rs to drought stress in summer varied among plots that differed in dominant vegetation species. Our findings also indicated that the spatial dynamics of Rs are mainly controlled by the distribution of belowground plant biomass and autotrophic respiration.
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Affiliation(s)
- Munemasa Teramoto
- Arid Land Research Center, Tottori University, Hamasaka, Tottori, 680-0001, Japan.
| | - Toru Hamamoto
- Arid Land Research Center, Tottori University, Hamasaka, Tottori, 680-0001, Japan.,Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, 980-8572, Japan
| | - Naishen Liang
- Earth System Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, 305-8506, Japan
| | - Takeshi Taniguchi
- Arid Land Research Center, Tottori University, Hamasaka, Tottori, 680-0001, Japan
| | - Takehiko Y Ito
- International Platform for Dryland Research and Education, Tottori University, Hamasaka, Tottori, 680-0001, Japan
| | - Richa Hu
- The United Graduate School of Agricultural Sciences, Tottori University, Koyama-Minami, Tottori, 680-8553, Japan
| | - Norikazu Yamanaka
- Arid Land Research Center, Tottori University, Hamasaka, Tottori, 680-0001, Japan
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Smith EM, Vargas R, Guevara M, Tarin T, Pouyat RV. Spatial variability and uncertainty of soil nitrogen across the conterminous United States at different depths. Ecosphere 2022. [DOI: 10.1002/ecs2.4170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Elizabeth M. Smith
- Department of Plant and Soil Sciences University of Delaware Newark Delaware USA
| | - Rodrigo Vargas
- Department of Plant and Soil Sciences University of Delaware Newark Delaware USA
| | - Mario Guevara
- Department of Plant and Soil Sciences University of Delaware Newark Delaware USA
| | - Tonantzin Tarin
- Department of Plant and Soil Sciences University of Delaware Newark Delaware USA
| | - Richard V. Pouyat
- Department of Plant and Soil Sciences University of Delaware Newark Delaware USA
- USDA Forest Service, Northern Research Station, NRS‐08 Newark Delaware USA
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8
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Jian J, Bailey V, Dorheim K, Konings AG, Hao D, Shiklomanov AN, Snyder A, Steele M, Teramoto M, Vargas R, Bond-Lamberty B. Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle. Nat Commun 2022; 13:1733. [PMID: 35365658 PMCID: PMC8976082 DOI: 10.1038/s41467-022-29391-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 02/28/2022] [Indexed: 11/09/2022] Open
Abstract
The terrestrial carbon cycle is a major source of uncertainty in climate projections. Its dominant fluxes, gross primary productivity (GPP), and respiration (in particular soil respiration, RS), are typically estimated from independent satellite-driven models and upscaled in situ measurements, respectively. We combine carbon-cycle flux estimates and partitioning coefficients to show that historical estimates of global GPP and RS are irreconcilable. When we estimate GPP based on RS measurements and some assumptions about RS:GPP ratios, we found the resulted global GPP values (bootstrap mean [Formula: see text] Pg C yr-1) are significantly higher than most GPP estimates reported in the literature ([Formula: see text] Pg C yr-1). Similarly, historical GPP estimates imply a soil respiration flux (RsGPP, bootstrap mean of [Formula: see text] Pg C yr-1) statistically inconsistent with most published RS values ([Formula: see text] Pg C yr-1), although recent, higher, GPP estimates are narrowing this gap. Furthermore, global RS:GPP ratios are inconsistent with spatial averages of this ratio calculated from individual sites as well as CMIP6 model results. This discrepancy has implications for our understanding of carbon turnover times and the terrestrial sensitivity to climate change. Future efforts should reconcile the discrepancies associated with calculations for GPP and Rs to improve estimates of the global carbon budget.
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Affiliation(s)
- Jinshi Jian
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China. .,Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, 5825 University Research Court, Suite 3500, College Park, MD, 20740, USA. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,Institute of Soil and Water Conservation, Northwest A & F University, Yangling, Shaanxi, 712100, China.
| | - Vanessa Bailey
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Kalyn Dorheim
- Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, 5825 University Research Court, Suite 3500, College Park, MD, 20740, USA
| | - Alexandra G Konings
- Department of Earth System Science, Stanford University, 473 Via Ortega, Room 140, Stanford, CA, 94305, USA
| | - Dalei Hao
- Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Alexey N Shiklomanov
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Building 33, Greenbelt, MD, 20771, USA
| | - Abigail Snyder
- Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, 5825 University Research Court, Suite 3500, College Park, MD, 20740, USA
| | - Meredith Steele
- School of Plant and Environmental Sciences, Virginia Tech, 183 Aq Quad Ln, Blacksburg, VA, 24061, USA
| | - Munemasa Teramoto
- National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan.,Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori, 680-0001, Japan
| | - Rodrigo Vargas
- Department of Plant and Soil Sciences, University of Delaware, Newark, DE, 19716, USA
| | - Ben Bond-Lamberty
- Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, 5825 University Research Court, Suite 3500, College Park, MD, 20740, USA
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9
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Dwivedi D, Santos ALD, Barnard MA, Crimmins TM, Malhotra A, Rod KA, Aho KS, Bell SM, Bomfim B, Brearley FQ, Cadillo‐Quiroz H, Chen J, Gough CM, Graham EB, Hakkenberg CR, Haygood L, Koren G, Lilleskov EA, Meredith LK, Naeher S, Nickerson ZL, Pourret O, Song H, Stahl M, Taş N, Vargas R, Weintraub‐Leff S. Biogeosciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. EARTH AND SPACE SCIENCE (HOBOKEN, N.J.) 2022; 9:e2021EA002119. [PMID: 35865637 PMCID: PMC9286804 DOI: 10.1029/2021ea002119] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 06/15/2023]
Abstract
This article is composed of three independent commentaries about the state of Integrated, Coordinated, Open, Networked (ICON) principles in the American Geophysical Union Biogeosciences section, and discussion on the opportunities and challenges of adopting them. Each commentary focuses on a different topic: (a) Global collaboration, technology transfer, and application (Section 2), (b) Community engagement, community science, education, and stakeholder involvement (Section 3), and (c) Field, experimental, remote sensing, and real-time data research and application (Section 4). We discuss needs and strategies for implementing ICON and outline short- and long-term goals. The inclusion of global data and international community engagement are key to tackling grand challenges in biogeosciences. Although recent technological advances and growing open-access information across the world have enabled global collaborations to some extent, several barriers, ranging from technical to organizational to cultural, have remained in advancing interoperability and tangible scientific progress in biogeosciences. Overcoming these hurdles is necessary to address pressing large-scale research questions and applications in the biogeosciences, where ICON principles are essential. Here, we list several opportunities for ICON, including coordinated experimentation and field observations across global sites, that are ripe for implementation in biogeosciences as a means to scientific advancements and social progress.
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Affiliation(s)
- D. Dwivedi
- Earth and Environmental Sciences AreaLawrence Berkeley National LaboratoryBerkeleyCAUSA
| | - A. L. D. Santos
- Department of Environmental EngineeringFederal University of ParanáPolytechnic Center CampusCuritibaBrazil
| | - M. A. Barnard
- Institute of Marine SciencesUniversity of North Carolina at Chapel HillMorehead CityNCUSA
| | - T. M. Crimmins
- School of Natural Resources and the EnvironmentUSA National Phenology NetworkUniversity of ArizonaTucsonAZUSA
| | - A. Malhotra
- Department of Earth System ScienceStanford UniversityStanfordCAUSA
| | - K. A. Rod
- Earth and Biological Sciences DirectoratePacific Northwest National LaboratoryRichlandWAUSA
| | - K. S. Aho
- National Ecological Observatory NetworkBattelleBoulderCOUSA
| | - S. M. Bell
- Institute of Environmental Science and Technology (ICTA)Universitat Autònoma de Barcelona (UAB)BellaterraSpain
| | - B. Bomfim
- Climate and Ecosystems Sciences DivisionLawrence Berkeley National LaboratoryBerkeleyCAUSA
| | - F. Q. Brearley
- Department of Natural SciencesManchester Metropolitan UniversityManchesterUK
| | | | - J. Chen
- Department of Geography, Environment, and Spatial SciencesMichigan State UniversityEast LansingMIUSA
| | - C. M. Gough
- Department of BiologyVirginia Commonwealth UniversityRichmondVAUSA
| | - E. B. Graham
- Earth and Biological Sciences DirectoratePacific Northwest National LaboratoryRichlandWAUSA
- School of Biological SciencesWashington State UniversityRichlandWAUSA
| | - C. R. Hakkenberg
- School of Informatics, Computing & Cyber SystemsNorthern Arizona UniversityFlagstaffAZUSA
| | - L. Haygood
- Department of GeosciencesThe University of TulsaTulsaOKUSA
- Boone Pickens School of GeologyOklahoma State UniversityStillwaterOKUSA
| | - G. Koren
- Copernicus Institute of Sustainable DevelopmentUtrecht UniversityUtrechtThe Netherlands
| | | | - L. K. Meredith
- School of Natural Resources and the EnvironmentUniversity of ArizonaTucsonAZUSA
| | - S. Naeher
- Department of Surface GeosciencesGNS ScienceLower HuttNew Zealand
| | | | | | - H.‐S. Song
- Department of Biological Systems EngineeringUniversity of Nebraska–LincolnLincolnNEUSA
- Department of Food Science and TechnologyUniversity of Nebraska–LincolnLincolnNEUSA
| | - M. Stahl
- Department of GeosciencesUnion CollegeSchenectadyNYUSA
| | - N. Taş
- Earth and Environmental Sciences AreaLawrence Berkeley National LaboratoryBerkeleyCAUSA
| | - R. Vargas
- Department of Plant and Soil SciencesUniversity of DelawareNewarkDEUSA
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10
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Soil Organic Carbon Dynamics in Response to Tillage Practices in the Steppe Zone of Southern Russia. Processes (Basel) 2022. [DOI: 10.3390/pr10020244] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Soil organic carbon (SOC) content is a vital indicator for soil health. The use of moldboard (traditional) plowing for many years had led to a prominent decline in the SOC and soil organic matter (SOM) in Southern Russia. Application of no-tillage (NT) is a sustainable alternative to conventional tillage (CT) as it offers an advantage for SOC store. The aim of the study was to assess soil organic carbon dynamics in response to tillage practices in the steppe zone of Southern Russia. The conservation of SOC under different tillage systems (CT and NT) was evaluated in comparison with the soils of the virgin soils (VS) in three different regions of the steppe zone of the Lower Don region (Southern of the European part of Russia). The SOC content under the conditions of CT was significantly lower than that in the VS and demonstrated an inclining trend when using NT technology. We estimate that the transition to NT over an area of 5.5 million hectares will lead to a significant reduction of carbon emissions into the atmosphere (by ~39 × 109 g C/year), thereby SOC deposition will be (~5.1 × 1012 g C) and high economic advantages will be reaped (with cost savings of up to 27%) in the Rostov region of Russia.
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Tang X, Shi Y, Luo X, Liu L, Jian J, Bond-Lamberty B, Hao D, Olchev A, Zhang W, Gao S, Li J. A decreasing carbon allocation to belowground autotrophic respiration in global forest ecosystems. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 798:149273. [PMID: 34378544 DOI: 10.1016/j.scitotenv.2021.149273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/22/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
Belowground autotrophic respiration (RAsoil) depends on carbohydrates from photosynthesis flowing to roots and rhizospheres, and is one of the most important but least understood components in forest carbon cycling. Carbon allocation plays an important role in forest carbon cycling and reflects forest adaptation to changing environmental conditions. However, carbon allocation to RAsoil has not been fully examined at the global scale. To fill this knowledge gap, we first used a Random Forest algorithm to predict the spatio-temporal patterns of RAsoil from 1981 to 2017 based on the most updated Global Soil Respiration Database (v5) with global environmental variables; calculated carbon allocation from photosynthesis to RAsoil (CAB) as a fraction of gross primary production; and assessed its temporal and spatial patterns in global forest ecosystems. Globally, mean RAsoil from forests was 8.9 ± 0.08 Pg C yr-1 (mean ± standard deviation) from 1981 to 2017 and increased significantly at a rate of 0.006 Pg C yr-2, paralleling broader soil respiration changes and suggesting increasing carbon respired by roots. Mean CAB was 0.243 ± 0.016 and decreased over time. The temporal trend of CAB varied greatly in space, reflecting uneven responses of CAB to environmental changes. Combined with carbon use efficiency, our CAB results offer a completely independent approach to quantify global aboveground autotropic respiration spatially and temporally, and could provide crucial insights into carbon flux partitioning and global carbon cycling under climate change.
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Affiliation(s)
- Xiaolu Tang
- College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, Sichuan, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & WaterPollution, Chengdu University of Technology, Chengdu 610059, China.
| | - Yuehong Shi
- College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, Sichuan, China
| | - Xinruo Luo
- College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, Sichuan, China
| | - Liang Liu
- College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, Sichuan, China
| | - Jinshi Jian
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, 5825 University Research Court, Suite 3500, College Park, MD 20740, USA
| | - Ben Bond-Lamberty
- Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, 5825 University Research Court, Suite 3500, College Park, MD 20740, USA
| | - Dalei Hao
- Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Alexander Olchev
- Department of Meteorology and Climatology, Faculty of Geography, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Wenjie Zhang
- School of Geographical Sciences, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
| | - Sicong Gao
- CSIRO Land and Water, PMB 2, Glen Osmond, SA 5064, Australia; Centre for Applied Water Science, University of Canberra, Canberra, Australia
| | - Jingji Li
- College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, Sichuan, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & WaterPollution, Chengdu University of Technology, Chengdu 610059, China
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