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Bao Y, Tian H, Wang X. Effects of climate change and ozone on vegetation phenology on the Tibetan Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 932:172780. [PMID: 38685428 DOI: 10.1016/j.scitotenv.2024.172780] [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: 03/19/2024] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/02/2024]
Abstract
The vegetation phenology, encompassing the start (SOS) and end (EOS) of the growing season on the Tibetan Plateau, has been significantly impacted by global climate change. Furthermore, ozone (O3) has gradually become the main pollutant in this region, substantially influencing carbon cycle and ecosystems on Earth. While ongoing studies have focused mainly on the implications of climate parameters, including temperature, precipitation, and radiation, the effects of O3 on the SOS and EOS remain unclear. Here, we compared the responses and sensitivities of the SOS and EOS to both climatic factors and O3 in this region. With the use of partial correlation analysis, we found that increased precipitation was the most important factor influencing the SOS and caused earlier occurrence (4.8 % vs. 21.9 %) for most plant functional types. In comparison, temperature only dominated in shrublands. In particular, we found that the EOS responded comparably to climatic factors with similar proportions between advancing and delaying patterns. However, higher O3 levels consistently advanced the EOS for almost all plant functional types and was the main factor controlling EOS variations based on the sensitivity analysis. Our results emphasized that O3 pollution should be considered for obtaining better phenological forecasts and determining the impacts of the environment and atmospheric composition on carbon sequestration in terrestrial ecosystems.
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Affiliation(s)
- Yanlei Bao
- School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China; Department of Hydraulic Engineering, Hebei University of Water Resources and Electric Engineering, Cangzhou 061001, China
| | - Haifeng Tian
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Xiaoyue Wang
- The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
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2
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Zhang W, Liu D, Tian H, Pan N, Yang R, Tang W, Yang J, Lu F, Dayananda B, Mei H, Wang S, Shi H. Parsimonious estimation of hourly surface ozone concentration across China during 2015-2020. Sci Data 2024; 11:492. [PMID: 38744849 PMCID: PMC11094007 DOI: 10.1038/s41597-024-03302-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/24/2024] [Indexed: 05/16/2024] Open
Abstract
Surface ozone is an important air pollutant detrimental to human health and vegetation productivity, particularly in China. However, high resolution surface ozone concentration data is still lacking, largely hindering accurate assessment of associated environmental impacts. Here, we collected hourly ground ozone observations (over 6 million records), remote sensing products, meteorological data, and social-economic information, and applied recurrent neural networks to map hourly surface ozone data (HrSOD) at a 0.1° × 0.1° resolution across China during 2015-2020. The coefficient of determination (R2) values in sample-based, site-based, and by-year cross-validations were 0.72, 0.65 and 0.71, respectively, with the root mean square error (RMSE) values being 11.71 ppb (mean = 30.89 ppb), 12.81 ppb (mean = 30.96 ppb) and 11.14 ppb (mean = 31.26 ppb). Moreover, it exhibits high spatiotemporal consistency with ground-level observations at different time scales (diurnal, seasonal, annual), and at various spatial levels (individual sites and regional scales). Meanwhile, the HrSOD provides critical information for fine-resolution assessment of surface ozone impacts on environmental and human benefits.
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Affiliation(s)
- Wenxiu Zhang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Di Liu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hanqin Tian
- Schiller Institute of Integrated Science and Society, Boston College, Chestnut Hill, MA, 02467, USA
| | - Naiqin Pan
- Schiller Institute of Integrated Science and Society, Boston College, Chestnut Hill, MA, 02467, USA
- College of Forestry, Wildlife and Environment, Auburn University, Auburn, AL, 36849, USA
| | - Ruqi Yang
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Wenhan Tang
- Department of Atmospheric Sciences, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Jia Yang
- Natural Resource Ecology & Management, Oklahoma State University, Stillwater, OK, 74078, USA
| | - Fei Lu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Buddhi Dayananda
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Han Mei
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, 999077, China
| | - Siyuan Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hao Shi
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Clifton OE, Schwede D, Hogrefe C, Bash JO, Bland S, Cheung P, Coyle M, Emberson L, Flemming J, Fredj E, Galmarini S, Ganzeveld L, Gazetas O, Goded I, Holmes CD, Horváth L, Huijnen V, Li Q, Makar PA, Mammarella I, Manca G, Munger JW, Pérez-Camanyo JL, Pleim J, Ran L, Jose RS, Silva SJ, Staebler R, Sun S, Tai APK, Tas E, Vesala T, Weidinger T, Wu Z, Zhang L. A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4). ATMOSPHERIC CHEMISTRY AND PHYSICS 2023; 23:9911-9961. [PMID: 37990693 PMCID: PMC10659075 DOI: 10.5194/acp-23-9911-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
A primary sink of air pollutants and their precursors is dry deposition. Dry deposition estimates differ across chemical transport models, yet an understanding of the model spread is incomplete. Here, we introduce Activity 2 of the Air Quality Model Evaluation International Initiative Phase 4 (AQMEII4). We examine 18 dry deposition schemes from regional and global chemical transport models as well as standalone models used for impact assessments or process understanding. We configure the schemes as single-point models at eight Northern Hemisphere locations with observed ozone fluxes. Single-point models are driven by a common set of site-specific meteorological and environmental conditions. Five of eight sites have at least 3 years and up to 12 years of ozone fluxes. The interquartile range across models in multiyear mean ozone deposition velocities ranges from a factor of 1.2 to 1.9 annually across sites and tends to be highest during winter compared with summer. No model is within 50 % of observed multiyear averages across all sites and seasons, but some models perform well for some sites and seasons. For the first time, we demonstrate how contributions from depositional pathways vary across models. Models can disagree with respect to relative contributions from the pathways, even when they predict similar deposition velocities, or agree with respect to the relative contributions but predict different deposition velocities. Both stomatal and nonstomatal uptake contribute to the large model spread across sites. Our findings are the beginning of results from AQMEII4 Activity 2, which brings scientists who model air quality and dry deposition together with scientists who measure ozone fluxes to evaluate and improve dry deposition schemes in the chemical transport models used for research, planning, and regulatory purposes.
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Affiliation(s)
- Olivia E. Clifton
- NASA Goddard Institute for Space Studies, New York, NY, USA
- Center for Climate Systems Research, Columbia Climate School, Columbia University in the City of New York, New York, NY, USA
| | - Donna Schwede
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Christian Hogrefe
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Jesse O. Bash
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Sam Bland
- Stockholm Environment Institute, Environment and Geography Department, University of York, York, UK
| | - Philip Cheung
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Mhairi Coyle
- United Kingdom Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, UK
- The James Hutton Institute, Craigiebuckler, Aberdeen, UK
| | - Lisa Emberson
- Environment and Geography Department, University of York, York, UK
| | | | - Erick Fredj
- Department of Computer Science, The Jerusalem College of Technology, Jerusalem, Israel
| | | | - Laurens Ganzeveld
- Meteorology and Air Quality Section, Wageningen University, Wageningen, the Netherlands
| | - Orestis Gazetas
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - Ignacio Goded
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - Christopher D. Holmes
- Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, USA
| | - László Horváth
- ELKH-SZTE Photoacoustic Research Group, Department of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary
| | - Vincent Huijnen
- Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
| | - Qian Li
- The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Paul A. Makar
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Ivan Mammarella
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Giovanni Manca
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - J. William Munger
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
| | | | - Jonathan Pleim
- Center for Environmental Measurement and Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Limei Ran
- Natural Resources Conservation Service, United States Department of Agriculture, Greensboro, NC, USA
| | - Roberto San Jose
- Computer Science School, Technical University of Madrid (UPM), Madrid, Spain
| | - Sam J. Silva
- Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ralf Staebler
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Shihan Sun
- Earth and Environmental Sciences Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
| | - Amos P. K. Tai
- Earth and Environmental Sciences Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Eran Tas
- The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Timo Vesala
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
- Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
| | - Tamás Weidinger
- Department of Meteorology, Institute of Geography and Earth Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Zhiyong Wu
- ORISE Fellow at Center for Environmental Measurement and Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Leiming Zhang
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
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Anav A, De Marco A, Collalti A, Emberson L, Feng Z, Lombardozzi D, Sicard P, Verbeke T, Viovy N, Vitale M, Paoletti E. Legislative and functional aspects of different metrics used for ozone risk assessment to forests. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 295:118690. [PMID: 34921939 DOI: 10.1016/j.envpol.2021.118690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Surface ozone (O3) is a threat to forests by decreasing photosynthesis and, consequently, influencing the strength of land carbon sink. However, due to the lack of continuous surface O3 measurements, observational-based assessments of O3 impacts on forests are largely missing at hemispheric to global scales. Currently, some metrics are used for regulatory purposes by governments or national agencies to protect forests against the negative impacts of ozone: in particular, both Europe and United States (US) makes use of two different exposure-based metrics, i.e. AOT40 and W126, respectively. However, because of some limitations in these metrics, a new standard is under consideration by the European Union (EU) to replace the current exposure metric. We analyse here the different air quality standards set or proposed for use in Europe and in the US to protect forests from O3 and to evaluate their spatial and temporal consistency while assessing their effectiveness in protecting northern-hemisphere forests. Then, we compare their results with the information obtained from a complex land surface model (ORCHIDEE). We find that present O3 uptake decreases gross primary production (GPP) in 37.7% of the NH forested area of northern hemisphere with a mean loss of 2.4% year-1. We show how the proposed US (W126) and the currently used European (AOT40) air quality standards substantially overestimate the extension of potential vulnerable regions, predicting that 46% and 61% of the Northern Hemisphere (NH) forested area are at risk of O3 pollution. Conversely, the new proposed European standard (POD1) identifies lower extension of vulnerability regions (39.6%).
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Affiliation(s)
- Alessandro Anav
- Department of Sustainability, Italian National Agency for New Technologies, Energy and the Environment (ENEA), Rome, Italy
| | - Alessandra De Marco
- Department of Sustainability, Italian National Agency for New Technologies, Energy and the Environment (ENEA), Rome, Italy.
| | - Alessio Collalti
- Forest Modelling Laboratory. Institute for Agriculture and Forestry Systems in the Mediterranean, National Research Council of Italy (CNR-ISAFOM), Perugia, Italy
| | - Lisa Emberson
- Environment and Geography Department, University of York, York, UK
| | - Zhaozhong Feng
- Institute of Ecology, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, China
| | - Danica Lombardozzi
- Climate and Global Dynamics, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
| | | | - Thomas Verbeke
- Laboratory of Mechanics and Technology, ENS Paris-Saclay, Gif sur Yvette, France
| | - Nicolas Viovy
- Laboratory for Sciences of Climate and Environment (LSCE), Gif sur Yvette, France
| | - Marcello Vitale
- Department of Environmental Biology, Sapienza University, Rome, Italy
| | - Elena Paoletti
- Institute of Research on Terrestrial Ecosystems, National Research Council of Italy (CNR-IRET), Sesto Fiorentino, Italy
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5
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The Influence of Ozone on Net Ecosystem Production of a Ryegrass–Clover Mixture under Field Conditions. ATMOSPHERE 2021. [DOI: 10.3390/atmos12121629] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
In order to understand the effect of phytotoxic tropospheric ozone (O3) on terrestrial vegetation, we quantified the impact of current O3 concentration ([O3]) on net ecosystem production (NEP) when compared to the conditions of the pre-industrial era. We compared and tested linear mixed-effects models based on [O3] and stomatal O3 flux (Fsto). The managed ryegrass–clover (Lolium perenne and Trifolium pratense) mixture was grown on arable land in the Czech Republic, Central Europe. Values of [O3] and Fsto were measured and calculated based on resistance analogy, respectively, while NEP was calculated from eddy covariance CO2 fluxes. We found the Fsto-based model more precise when compared to measured NEP. High Fsto was found even at low [O3], while broad summer maximum of [O3] was not necessarily followed by significant NEP decline, due to low soil water content leading to a low stomatal conductivity and Fsto. Comparing to low pre-industrial O3 conditions, current levels of O3 resulted in the reduction of cumulative NEP over the entire growing season, up to 29.7 and 13.5% when the [O3]-based and Fsto-based model was applied, respectively. During the growing season, an O3-induced reduction of NEP ranged between 13.1% in May and 26.2% in July when compared to pre-industrial Fsto levels. Looking to the future, high [O3] and Fsto may lead to the reduction of current NEP by approximately 13.3% on average during the growing season, but may increase by up to 61–86.6% in autumn, indicating further O3-induced acceleration of the senescence. These findings indicate the importance of Fsto and its inclusion into the models estimating O3 effects on terrestrial vegetation. The interaction between environmental factors and stomatal conductance is therefore discussed in detail.
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6
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Zhang J, Tian H, Shi H, Zhang J, Wang X, Pan S, Yang J. Increased greenhouse gas emissions intensity of major croplands in China: Implications for food security and climate change mitigation. GLOBAL CHANGE BIOLOGY 2020; 26:6116-6133. [PMID: 32697859 DOI: 10.1111/gcb.15290] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 06/23/2020] [Indexed: 06/11/2023]
Abstract
Balancing crop production and greenhouse gas (GHG) emissions from agriculture soil requires a better understanding and quantification of crop GHG emissions intensity, a measure of GHG emissions per unit crop production. Here we conduct a state-of-the-art estimate of the spatial-temporal variability of GHG emissions intensities for wheat, maize, and rice in China from 1949 to 2012 using an improved agricultural ecosystem model (Dynamic Land Ecosystem Model-Agriculture Version 2.0) and meta-analysis covering 172 field-GHG emissions experiments. The results show that the GHG emissions intensities of these croplands from 1949 to 2012, on average, were 0.10-1.31 kg CO2 -eq/kg, with a significant increase rate of 1.84-3.58 × 10-3 kg CO2 -eq kg-1 year-1 . Nitrogen fertilizer was the dominant factor contributing to the increase in GHG emissions intensity in northern China and increased its impact in southern China in the 2000s. Increasing GHG emissions intensity implies that excessive fertilizer failed to markedly stimulate crop yield increase in China but still exacerbated soil GHG emissions. This study found that overfertilization of more than 60% was mainly located in the winter wheat-summer maize rotation systems in the North China Plain, the winter wheat-rice rotation systems in the middle and lower reaches of the Yangtze River and southwest China, and most of the double rice systems in the South. Our simulations suggest that roughly a one-third reduction in the current N fertilizer application level over these "overfertilization" regions would not significantly influence crop yield but decrease soil GHG emissions by 29.60%-32.50% and GHG emissions intensity by 0.13-0.25 kg CO2 -eq/kg. This reduction is about 29% and 5% of total agricultural soil GHG emissions in China and the world, respectively. This study suggests that improving nitrogen use efficiency would be an effective strategy to mitigate GHG emissions and sustain China's food security.
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Affiliation(s)
- Jingting Zhang
- Research Center for Eco-Environmental Sciences, State Key Laboratory of Urban and Regional Ecology, Chinese Academy of Sciences, Beijing, China
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Hao Shi
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Jingfang Zhang
- Department of Agricultural Economics and Rural Sociology, Auburn University, Auburn, AL, USA
| | - Xiaoke Wang
- Research Center for Eco-Environmental Sciences, State Key Laboratory of Urban and Regional Ecology, Chinese Academy of Sciences, Beijing, China
| | - Shufen Pan
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Jia Yang
- Department of Forestry, Mississippi State University, Mississippi State, MS, USA
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7
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Emberson L. Effects of ozone on agriculture, forests and grasslands. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2020; 378:20190327. [PMID: 32981434 PMCID: PMC7536038 DOI: 10.1098/rsta.2019.0327] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/01/2020] [Indexed: 05/06/2023]
Abstract
The damage and injury that ground level ozone (O3) causes vegetation has become increasingly evident over the past half century with a large body of observational and experimental evidence demonstrating a variety of effects at ambient concentrations on crop, forest and grassland species and ecosystems. This paper explores the use of experimental data to develop exposure-response relationships for use in risk assessment studies. These studies have typically identified the USA mid-West, much of Europe, the Indo Gangetic Plain in South Asia and the Eastern coastal region of China as global regions where O3 is likely to threaten food supply and other ecosystems. Global risk assessment modelling estimates yield losses of staple crops between 3 to 16% causing economic losses of between US$14 to 26 billion in the year 2000. Changes in anthropogenic emissions of O3 precursors in recent decades have modified O3 concentration profiles (peaks versus background O3) and global distributions with the Northern Hemisphere seeing increases in O3 levels of between 1 and 5 ppb/decade since the 1950s and the emergence of Asia as the region with the highest O3 concentrations. In the future, O3 mitigation could focus on methane (CH4) and nitrogen oxide (NOx) emissions; these will differentially influence global and local/regional O3 concentrations and influence daily and seasonal profiles. The consequent effects on vegetation will in part depend on how these changes in O3 profile alter the exceedance of detoxification thresholds for plant damage. Adaptation options may play an important role in enhancing food supply while mitigation strategies are being implemented. An improved understanding of the mechanisms by which O3 affects plants, and how this might influence detoxification thresholds and interactions with other environmental variables such as water stress and nutrients, would help develop O3 deposition and impact models to support the development of crop, land-surface exchange and ultimately earth system models for holistic assessments of global change. This article is part of a discussion meeting issue 'Air quality, past present and future'.
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Affiliation(s)
- Lisa Emberson
- Environment and Geography Department, University of York, Environment Building, Heslington, York, North Yorkshire YO10 5NG, UK
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8
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Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations. REMOTE SENSING 2020. [DOI: 10.3390/rs12030375] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We employed a global high-resolution inverse model to optimize the CH4 emission using Greenhouse gas Observing Satellite (GOSAT) and surface observation data for a period from 2011–2017 for the two main source categories of anthropogenic and natural emissions. We used the Emission Database for Global Atmospheric Research (EDGAR v4.3.2) for anthropogenic methane emission and scaled them by country to match the national inventories reported to the United Nations Framework Convention on Climate Change (UNFCCC). Wetland and soil sink prior fluxes were simulated using the Vegetation Integrative Simulator of Trace gases (VISIT) model. Biomass burning prior fluxes were provided by the Global Fire Assimilation System (GFAS). We estimated a global total anthropogenic and natural methane emissions of 340.9 Tg CH4 yr−1 and 232.5 Tg CH4 yr−1, respectively. Country-scale analysis of the estimated anthropogenic emissions showed that all the top-emitting countries showed differences with their respective inventories to be within the uncertainty range of the inventories, confirming that the posterior anthropogenic emissions did not deviate from nationally reported values. Large countries, such as China, Russia, and the United States, had the mean estimated emission of 45.7 ± 8.6, 31.9 ± 7.8, and 29.8 ± 7.8 Tg CH4 yr−1, respectively. For natural wetland emissions, we estimated large emissions for Brazil (39.8 ± 12.4 Tg CH4 yr−1), the United States (25.9 ± 8.3 Tg CH4 yr−1), Russia (13.2 ± 9.3 Tg CH4 yr−1), India (12.3 ± 6.4 Tg CH4 yr−1), and Canada (12.2 ± 5.1 Tg CH4 yr−1). In both emission categories, the major emitting countries all had the model corrections to emissions within the uncertainty range of inventories. The advantages of the approach used in this study were: (1) use of high-resolution transport, useful for simulations near emission hotspots, (2) prior anthropogenic emissions adjusted to the UNFCCC reports, (3) combining surface and satellite observations, which improves the estimation of both natural and anthropogenic methane emissions over spatial scale of countries.
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9
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Southward propagation of Nazca subduction along the Andes. Nature 2019; 565:441-447. [PMID: 30675041 DOI: 10.1038/s41586-018-0860-1] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 11/20/2018] [Indexed: 11/09/2022]
Abstract
The Andean margin is the plate-tectonic paradigm for long-lived, continuous subduction, yet its geology since the late Mesozoic era (the past 100 million years or so) has been far from steady state. The episodic deformation and magmatism have been attributed to cyclic changes in the dip angle of the subducting slab, slab break-off and the penetration of the slab into the lower mantle; the role of plate tectonics remains unclear, owing to the extensive subduction of the Nazca-Farallon plate (which has resulted in more than 5,500 kilometres of lithosphere being lost to the mantle). Here, using tomographic data, we recreate the plate-tectonic geometry of the subducted Nazca slab, which enables us to reconstruct Andean plate tectonics since the late Mesozoic. Our model suggests that the current phase of Nazca subduction began at the northern Andes (5° S) during the late Cretaceous period (around 80 million years ago) and propagated southwards, reaching the southern Andes (40° S) by the early Cenozoic era (around 55 million year ago). Thus, contrary to the current paradigm, Nazca subduction has not been fully continuous since the Mesozoic but instead included episodic divergent phases. In addition, we find that foredeep sedimentation and the initiation of Andean compression are both linked to interactions between the Nazca slab and the lower mantle, consistent with previous modelling.
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10
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Anav A, Liu Q, De Marco A, Proietti C, Savi F, Paoletti E, Piao S. The role of plant phenology in stomatal ozone flux modeling. GLOBAL CHANGE BIOLOGY 2018; 24:235-248. [PMID: 28722275 DOI: 10.1111/gcb.13823] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 06/14/2017] [Indexed: 06/07/2023]
Abstract
Plant phenology plays a pivotal role in the climate system as it regulates the gas exchange between the biosphere and the atmosphere. The uptake of ozone by forest is estimated through several meteorological variables and a specific function describing the beginning and the termination of plant growing season; actually, in many risk assessment studies, this function is based on a simple latitude and topography model. In this study, using two satellite datasets, we apply and compare six methods to estimate the start and the end dates of the growing season across a large region covering all Europe for the year 2011. Results show a large variability between the green-up and dormancy dates estimated using the six different methods, with differences greater than one month. However, interestingly, all the methods display a common spatial pattern in the uptake of ozone by forests with a marked change in the magnitude, up to 1.9 TgO3 /year, and corresponding to a difference of 25% in the amount of ozone that enters the leaves. Our results indicate that improved estimates of ozone fluxes require a better representation of plant phenology in the models used for O3 risk assessment.
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Affiliation(s)
- Alessandro Anav
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
- Institute of Sustainable Plant Protection, National Research Council, Sesto Fiorentino, Italy
| | - Qiang Liu
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Alessandra De Marco
- Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, S. Maria di Galeria, Italy
| | - Chiara Proietti
- Council for Agricultural Research and Agricultural Economy Analysis (CREA) - Research Centre for the Soil-Plant System, Rome, Italy
| | - Flavia Savi
- Council for Agricultural Research and Agricultural Economy Analysis (CREA) - Research Centre for the Soil-Plant System, Rome, Italy
| | - Elena Paoletti
- Institute of Sustainable Plant Protection, National Research Council, Sesto Fiorentino, Italy
| | - Shilong Piao
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
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11
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Anav A, De Marco A, Proietti C, Alessandri A, Dell'Aquila A, Cionni I, Friedlingstein P, Khvorostyanov D, Menut L, Paoletti E, Sicard P, Sitch S, Vitale M. Comparing concentration-based (AOT40) and stomatal uptake (PODY) metrics for ozone risk assessment to European forests. GLOBAL CHANGE BIOLOGY 2016; 22:1608-1627. [PMID: 26492093 DOI: 10.1111/gcb.13138] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Revised: 10/16/2015] [Accepted: 10/16/2015] [Indexed: 06/05/2023]
Abstract
Tropospheric ozone (O3) produces harmful effects to forests and crops, leading to a reduction of land carbon assimilation that, consequently, influences the land sink and the crop yield production. To assess the potential negative O3 impacts to vegetation, the European Union uses the Accumulated Ozone over Threshold of 40 ppb (AOT40). This index has been chosen for its simplicity and flexibility in handling different ecosystems as well as for its linear relationships with yield or biomass loss. However, AOT40 does not give any information on the physiological O3 uptake into the leaves since it does not include any environmental constraints to O3 uptake through stomata. Therefore, an index based on stomatal O3 uptake (i.e. PODY), which describes the amount of O3 entering into the leaves, would be more appropriate. Specifically, the PODY metric considers the effects of multiple climatic factors, vegetation characteristics and local and phenological inputs rather than the only atmospheric O3 concentration. For this reason, the use of PODY in the O3 risk assessment for vegetation is becoming recommended. We compare different potential O3 risk assessments based on two methodologies (i.e. AOT40 and stomatal O3 uptake) using a framework of mesoscale models that produces hourly meteorological and O3 data at high spatial resolution (12 km) over Europe for the time period 2000-2005. Results indicate a remarkable spatial and temporal inconsistency between the two indices, suggesting that a new definition of European legislative standard is needed in the near future. Besides, our risk assessment based on AOT40 shows a good consistency compared to both in-situ data and other model-based datasets. Conversely, risk assessment based on stomatal O3 uptake shows different spatial patterns compared to other model-based datasets. This strong inconsistency can be likely related to a different vegetation cover and its associated parameterizations.
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Affiliation(s)
- Alessandro Anav
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
- Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, S. Maria di Galeria, Rome, 00123, Italy
| | - Alessandra De Marco
- Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, S. Maria di Galeria, Rome, 00123, Italy
| | - Chiara Proietti
- Department of Environmental Biology, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy
| | - Andrea Alessandri
- Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, S. Maria di Galeria, Rome, 00123, Italy
| | - Alessandro Dell'Aquila
- Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, S. Maria di Galeria, Rome, 00123, Italy
| | - Irene Cionni
- Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, S. Maria di Galeria, Rome, 00123, Italy
| | - Pierre Friedlingstein
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
| | - Dmitry Khvorostyanov
- Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau Cedex, 91128, France
| | - Laurent Menut
- Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau Cedex, 91128, France
| | - Elena Paoletti
- Institute of Sustainable Plant Protection, National Research Council, Sesto Fiorentino, Via Madonna del Piano 10, 50019, Italy
| | - Pierre Sicard
- ACRI-HE, 260 route du Pin Montard, BP 234, Sophia Antipolis Cedex, 06904, France
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Amory Building, Rennes Drive, Exeter, EX4 4RJ, UK
| | - Marcello Vitale
- Department of Environmental Biology, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy
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12
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Pan S, Tian H, Dangal SRS, Zhang C, Yang J, Tao B, Ouyang Z, Wang X, Lu C, Ren W, Banger K, Yang Q, Zhang B, Li X. Complex spatiotemporal responses of global terrestrial primary production to climate change and increasing atmospheric CO2 in the 21st century. PLoS One 2014; 9:e112810. [PMID: 25401492 PMCID: PMC4234638 DOI: 10.1371/journal.pone.0112810] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 10/17/2014] [Indexed: 11/18/2022] Open
Abstract
Quantitative information on the response of global terrestrial net primary production (NPP) to climate change and increasing atmospheric CO2 is essential for climate change adaptation and mitigation in the 21st century. Using a process-based ecosystem model (the Dynamic Land Ecosystem Model, DLEM), we quantified the magnitude and spatiotemporal variations of contemporary (2000s) global NPP, and projected its potential responses to climate and CO2 changes in the 21st century under the Special Report on Emission Scenarios (SRES) A2 and B1 of Intergovernmental Panel on Climate Change (IPCC). We estimated a global terrestrial NPP of 54.6 (52.8–56.4) PgC yr−1 as a result of multiple factors during 2000–2009. Climate change would either reduce global NPP (4.6%) under the A2 scenario or slightly enhance NPP (2.2%) under the B1 scenario during 2010–2099. In response to climate change, global NPP would first increase until surface air temperature increases by 1.5°C (until the 2030s) and then level-off or decline after it increases by more than 1.5°C (after the 2030s). This result supports the Copenhagen Accord Acknowledgement, which states that staying below 2°C may not be sufficient and the need to potentially aim for staying below 1.5°C. The CO2 fertilization effect would result in a 12%–13.9% increase in global NPP during the 21st century. The relative CO2 fertilization effect, i.e. change in NPP on per CO2 (ppm) bases, is projected to first increase quickly then level off in the 2070s and even decline by the end of the 2080s, possibly due to CO2 saturation and nutrient limitation. Terrestrial NPP responses to climate change and elevated atmospheric CO2 largely varied among biomes, with the largest increases in the tundra and boreal needleleaf deciduous forest. Compared to the low emission scenario (B1), the high emission scenario (A2) would lead to larger spatiotemporal variations in NPP, and more dramatic and counteracting impacts from climate and increasing atmospheric CO2.
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Affiliation(s)
- Shufen Pan
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
- * E-mail:
| | - Shree R. S. Dangal
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Chi Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjian Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Jia Yang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Bo Tao
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Zhiyun Ouyang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Xiaoke Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Chaoqun Lu
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Wei Ren
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Kamaljit Banger
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Qichun Yang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Bowen Zhang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Xia Li
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
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13
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Talhelm AF, Pregitzer KS, Kubiske ME, Zak DR, Campany CE, Burton AJ, Dickson RE, Hendrey GR, Isebrands JG, Lewin KF, Nagy J, Karnosky DF. Elevated carbon dioxide and ozone alter productivity and ecosystem carbon content in northern temperate forests. GLOBAL CHANGE BIOLOGY 2014; 20:2492-504. [PMID: 24604779 PMCID: PMC4261895 DOI: 10.1111/gcb.12564] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Revised: 01/07/2014] [Accepted: 02/14/2014] [Indexed: 05/18/2023]
Abstract
Three young northern temperate forest communities in the north-central United States were exposed to factorial combinations of elevated carbon dioxide (CO2 ) and tropospheric ozone (O3 ) for 11 years. Here, we report results from an extensive sampling of plant biomass and soil conducted at the conclusion of the experiment that enabled us to estimate ecosystem carbon (C) content and cumulative net primary productivity (NPP). Elevated CO2 enhanced ecosystem C content by 11%, whereas elevated O3 decreased ecosystem C content by 9%. There was little variation in treatment effects on C content across communities and no meaningful interactions between CO2 and O3 . Treatment effects on ecosystem C content resulted primarily from changes in the near-surface mineral soil and tree C, particularly differences in woody tissues. Excluding the mineral soil, cumulative NPP was a strong predictor of ecosystem C content (r(2) = 0.96). Elevated CO2 enhanced cumulative NPP by 39%, a consequence of a 28% increase in canopy nitrogen (N) content (g N m(-2) ) and a 28% increase in N productivity (NPP/canopy N). In contrast, elevated O3 lowered NPP by 10% because of a 21% decrease in canopy N, but did not impact N productivity. Consequently, as the marginal impact of canopy N on NPP (∆NPP/∆N) decreased through time with further canopy development, the O3 effect on NPP dissipated. Within the mineral soil, there was less C in the top 0.1 m of soil under elevated O3 and less soil C from 0.1 to 0.2 m in depth under elevated CO2 . Overall, these results suggest that elevated CO2 may create a sustained increase in NPP, whereas the long-term effect of elevated O3 on NPP will be smaller than expected. However, changes in soil C are not well-understood and limit our ability to predict changes in ecosystem C content.
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Affiliation(s)
- Alan F Talhelm
- Department of Forest, Rangeland, & Fire Sciences, College of Natural Resources, University of Idaho, Moscow, ID, 83844, USA
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14
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Dang Y, Ren W, Tao B, Chen G, Lu C, Yang J, Pan S, Wang G, Li S, Tian H. Climate and land use controls on soil organic carbon in the loess plateau region of China. PLoS One 2014; 9:e95548. [PMID: 24788559 PMCID: PMC4006802 DOI: 10.1371/journal.pone.0095548] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2013] [Accepted: 03/28/2014] [Indexed: 11/18/2022] Open
Abstract
The Loess Plateau of China has the highest soil erosion rate in the world where billion tons of soil is annually washed into Yellow River. In recent decades this region has experienced significant climate change and policy-driven land conversion. However, it has not yet been well investigated how these changes in climate and land use have affected soil organic carbon (SOC) storage on the Loess Plateau. By using the Dynamic Land Ecosystem Model (DLEM), we quantified the effects of climate and land use on SOC storage on the Loess Plateau in the context of multiple environmental factors during the period of 1961–2005. Our results show that SOC storage increased by 0.27 Pg C on the Loess Plateau as a result of multiple environmental factors during the study period. About 55% (0.14 Pg C) of the SOC increase was caused by land conversion from cropland to grassland/forest owing to the government efforts to reduce soil erosion and improve the ecological conditions in the region. Historical climate change reduced SOC by 0.05 Pg C (approximately 19% of the total change) primarily due to a significant climate warming and a slight reduction in precipitation. Our results imply that the implementation of “Grain for Green” policy may effectively enhance regional soil carbon storage and hence starve off further soil erosion on the Loess Plateau.
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Affiliation(s)
- Yaai Dang
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi, China; International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America; College of Science, Northwest A&F University, Yangling, Shaanxi, China
| | - Wei Ren
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Bo Tao
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Guangsheng Chen
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Chaoqun Lu
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Jia Yang
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Shufen Pan
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
| | - Guodong Wang
- College of Science, Northwest A&F University, Yangling, Shaanxi, China
| | - Shiqing Li
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi, China
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry & Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
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15
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Song X, Tian H, Xu X, Hui D, Chen G, Sommers G, Marzen L, Liu M. Projecting terrestrial carbon sequestration of the southeastern United States in the 21st century. Ecosphere 2013. [DOI: 10.1890/es12-00398.1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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16
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17
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Lu C, Tian H. Net greenhouse gas balance in response to nitrogen enrichment: perspectives from a coupled biogeochemical model. GLOBAL CHANGE BIOLOGY 2013; 19:571-88. [PMID: 23504794 DOI: 10.1111/gcb.12049] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2011] [Revised: 09/13/2012] [Accepted: 09/26/2012] [Indexed: 05/12/2023]
Abstract
Increasing reactive nitrogen (N) input has been recognized as one of the important factors influencing climate system through affecting the uptake and emission of greenhouse gases (GHG). However, the magnitude and spatiotemporal variations of N-induced GHG fluxes at regional and global scales remain far from certain. Here we selected China as an example, and used a coupled biogeochemical model in conjunction with spatially explicit data sets (including climate, atmospheric CO2 , O3 , N deposition, land use, and land cover changes, and N fertilizer application) to simulate the concurrent impacts of increasing atmospheric and fertilized N inputs on balance of three major GHGs (CO2 , CH4 , and N2 O). Our simulations showed that these two N enrichment sources in China decreased global warming potential (GWP) through stimulating CO2 sink and suppressing CH4 emission. However, direct N2 O emission was estimated to offset 39% of N-induced carbon (C) benefit, with a net GWP of three GHGs averaging -376.3 ± 146.4 Tg CO2 eq yr(-1) (the standard deviation is interannual variability of GWP) during 2000-2008. The chemical N fertilizer uses were estimated to increase GWP by 45.6 ± 34.3 Tg CO2 eq yr(-1) in the same period, and C sink was offset by 136%. The largest C sink offset ratio due to increasing N input was found in Southeast and Central mainland of China, where rapid industrial development and intensively managed crop system are located. Although exposed to the rapidly increasing N deposition, most of the natural vegetation covers were still showing decreasing GWP. However, due to extensive overuse of N fertilizer, China's cropland was found to show the least negative GWP, or even positive GWP in recent decade. From both scientific and policy perspectives, it is essential to incorporate multiple GHGs into a coupled biogeochemical framework for fully assessing N impacts on climate changes.
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Affiliation(s)
- Chaoqun Lu
- International Center for Climate, Auburn University, Auburn, AL 36849, USA
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18
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Wang X, Zhang Q, Zheng F, Zheng Q, Yao F, Chen Z, Zhang W, Hou P, Feng Z, Song W, Feng Z, Lu F. Effects of elevated O₃ concentration on winter wheat and rice yields in the Yangtze River Delta, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2012; 171:118-25. [PMID: 22892574 DOI: 10.1016/j.envpol.2012.07.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2012] [Revised: 07/11/2012] [Accepted: 07/21/2012] [Indexed: 05/10/2023]
Abstract
The effects of a continuing rise of ambient ozone on crop yield will seriously threaten food security in China. In the Yangtze River Delta, a rapidly developing and seriously air polluted region in China, innovative open-top chambers have been established to fumigate winter wheat and rice in situ with elevated O(3). Five years of study have shown that the yields of wheat and rice decreased with increasing O(3) concentration. There were significant relationships between the relative yield and AOT40 (accumulated hourly O(3) concentration over 40 ppb) for both winter wheat and rice. Winter wheat was more sensitive to O(3) than rice. O(3)-induced yield declines were attributed primarily to 1000-grain weight and harvest index for winter wheat, and attributed primarily to grain number per panicle and harvest index for rice. Control of ambient O(3) pollution and breeding of O(3) tolerant crops are urgent to guarantee food security in China.
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Affiliation(s)
- Xiaoke Wang
- State Key Lab of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Shuangqinglu 18, Beijing 100085, China.
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19
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Anav A, Menut L, Khvorostyanov D, Viovy N. A comparison of two canopy conductance parameterizations to quantify the interactions between surface ozone and vegetation over Europe. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jg001976] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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20
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Ren W, Tian H, Tao B, Huang Y, Pan S. China's crop productivity and soil carbon storage as influenced by multifactor global change. GLOBAL CHANGE BIOLOGY 2012; 18:2945-57. [PMID: 24501069 DOI: 10.1111/j.1365-2486.2012.02741.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2012] [Revised: 04/17/2012] [Accepted: 04/18/2012] [Indexed: 05/10/2023]
Abstract
Much concern has been raised about how multifactor global change has affected food security and carbon sequestration capacity in China. By using a process-based ecosystem model, the Dynamic Land Ecosystem Model (DLEM), in conjunction with the newly developed driving information on multiple environmental factors (climate, atmospheric CO2 , tropospheric ozone, nitrogen deposition, and land cover/land use change), we quantified spatial and temporal patterns of net primary production (NPP) and soil organic carbon storage (SOC) across China's croplands during 1980-2005 and investigated the underlying mechanisms. Simulated results showed that both crop NPP and SOC increased from 1980 to 2005, and the highest annual NPP occurred in the Southeast (SE) region (0.32 Pg C yr(-1) , 35.4% of the total NPP) whereas the largest annual SOC (2.29 Pg C yr(-1) , 35.4% of the total SOC) was found in the Northeast (NE) region. Land management practices, particularly nitrogen fertilizer application, appear to be the most important factor in stimulating increase in NPP and SOC. However, tropospheric ozone pollution and climate change led to NPP reduction and SOC loss. Our results suggest that China's crop productivity and soil carbon storage could be enhanced through minimizing tropospheric ozone pollution and improving nitrogen fertilizer use efficiency.
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Affiliation(s)
- Wei Ren
- International Center for Climate and Global Change Research, and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, 36849, USA
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21
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Zhang C, Tian H, Chen G, Chappelka A, Xu X, Ren W, Hui D, Liu M, Lu C, Pan S, Lockaby G. Impacts of urbanization on carbon balance in terrestrial ecosystems of the Southern United States. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2012; 164:89-101. [PMID: 22343525 DOI: 10.1016/j.envpol.2012.01.020] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2011] [Revised: 01/06/2012] [Accepted: 01/14/2012] [Indexed: 05/20/2023]
Abstract
Using a process-based Dynamic Land Ecosystem Model, we assessed carbon dynamics of urbanized/developed lands in the Southern United States during 1945-2007. The results indicated that approximately 1.72 (1.69-1.77) Pg (1P = 10(15)) carbon was stored in urban/developed lands, comparable to the storage of shrubland or cropland in the region. Urbanization resulted in a release of 0.21 Pg carbon to the atmosphere during 1945-2007. Pre-urbanization vegetation type and time since land conversion were two primary factors determining the extent of urbanization impacts on carbon dynamics. After a rapid decline of carbon storage during land conversion, an urban ecosystem gradually accumulates carbon and may compensate for the initial carbon loss in 70-100 years. The carbon sequestration rate of urban ecosystem diminishes with time, nearly disappearing in two centuries after land conversion. This study implied that it is important to take urbanization effect into account for assessing regional carbon balance.
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Affiliation(s)
- Chi Zhang
- Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
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22
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Tian H, Chen G, Zhang C, Liu M, Sun G, Chappelka A, Ren W, Xu X, Lu C, Pan S, Chen H, Hui D, McNulty S, Lockaby G, Vance E. Century-Scale Responses of Ecosystem Carbon Storage and Flux to Multiple Environmental Changes in the Southern United States. Ecosystems 2012. [DOI: 10.1007/s10021-012-9539-x] [Citation(s) in RCA: 117] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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23
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Lu C, Tian H, Liu M, Ren W, Xu X, Chen G, Zhang C. Effect of nitrogen deposition on China's terrestrial carbon uptake in the context of multifactor environmental changes. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2012; 22:53-75. [PMID: 22471075 DOI: 10.1890/10-1685.1] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The amount of atmospheric nitrogen (N) deposited on the land surface has increased globally and by nearly five times in China from 1901 to 2005. Little is known about how elevated reactive N input has affected the carbon (C) sequestration capability of China's terrestrial ecosystems, largely due to the lack of reliable data on N deposition. Here we have used a newly developed data set of historical N deposition at a spatial resolution of 10 km x 10 km in combination with other gridded historical information on climate, atmospheric composition, land use, and land management practices to drive a process-based ecosystem model, the dynamic land ecosystem model (DLEM) for examining how increasing N deposition and its interactions with other environmental changes have affected C fluxes and storage in China's terrestrial ecosystems during 1901-2005. Our model simulations indicate that increased N deposition has resulted in a net C sink of 62 Tg C/yr (1 Tg = 1012 g) in China's terrestrial ecosystems, totaling up to 6.51 Pg C (1 Pg = 10(15) g) in the past 105 years. During the study period, the N-induced C sequestration can compensate for more than 25% of fossil-fuel CO2 emission from China. The largest C sink was found in southeast China, a region that experienced the most significant increase of N deposition in the period 1901-2005. However, the net primary productivity induced by per-unit N deposition (referred to as ecosystem N use efficiency, ENUE, in this paper) has leveled off or declined since the 1980s. This indicates that part of the deposited N may not be invested to stimulate plant growth, but instead leave the ecosystem by various pathways. Except shrubland and northwest/southwest China, signs of N saturation are apparent in the rest major biome types and regions, with ENUE peaking in the 1980s and leveling off or declining thereafter. Therefore, to minimize the excessive N pollution while keeping the N-stimulated C uptake in China's terrestrial ecosystems, optimized management practices should be taken to increase N use efficiency rather than to keep raising N input level in the near future.
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Affiliation(s)
- Chaoqun Lu
- Ecosystem Dynamics and Global Ecology Laboratory, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama 36849, USA
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Tian H, Xu X, Lu C, Liu M, Ren W, Chen G, Melillo J, Liu J. Net exchanges of CO2, CH4, and N2O between China's terrestrial ecosystems and the atmosphere and their contributions to global climate warming. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2010jg001393] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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25
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Anav A, D'Andrea F, Viovy N, Vuichard N. A validation of heat and carbon fluxes from high-resolution land surface and regional models. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jg001178] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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26
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Deformation of the lowermost mantle from seismic anisotropy. Nature 2010; 467:1091-4. [DOI: 10.1038/nature09507] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2010] [Accepted: 09/06/2010] [Indexed: 11/08/2022]
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