Greenhouse Gas Emissions and Management Practices that Affect Emissions in US Rice Systems

Journal of Environmental Quality - Tập 47 Số 3 - Trang 395-409 - 2018
Bruce A. Linquist1, Mathias Marcos1, M. Arlene A. Adviento-Borbe2, Merle M. Anders3, Dustin L. Harrell4, Steven D. Linscombe4, Michele L. Reba2, Benjamin R. K. Runkle5, Lee Tarpley6, Allison M. Thomson7
1Dep. of Plant Sciences, One Shields Ave., Univ. of California, Davis, CA, 95616
2USDA-ARS, Delta Water Management Research Unit, 504 University Loop East, Jonesboro, AR, 72401
3PO Box 571, 17 Jill Lane, Casscoe, AR, 72026
4Louisiana State Univ., Agricultural Center, H. Rouse Caffey Rice Research Station, 1373 Caffey Rd., Rayne, LA, 70578
5231 ENGR Hall, Biological & Agricultural Engineering, Univ. of Arkansas Fayetteville AR 72701
6Texas A&M AgriLife Research Center, 1509 Aggie Dr., Beaumont, TX, 77713
7Field to Market, 777 N. Capitol St., NE Suite 803, Washington, DC, 20002

Tóm tắt

Previous reviews have quantified factors affecting greenhouse gas (GHG) emissions from Asian rice (Oryza sativa L.) systems, but not from rice systems typical for the United States, which often vary considerably particularly in practices (i.e., water and carbon management) that affect emissions. Using meta‐analytic and regression approaches, existing data from the United States were examined to quantify GHG emissions and major practices affecting emissions. Due to different production practices, major rice production regions were defined as the mid‐South (Arkansas, Texas, Louisiana, Mississippi, and Missouri) and California, with emissions being evaluated separately. Average growing season CH4 emissions for the mid‐South and California were 194 (95% confidence interval [CI] = 129–260) and 218 kg CH4 ha−1 season−1 (95% CI = 153–284), respectively. Growing season N2O emissions were similar between regions (0.14 kg N2O ha−1 season−1). Ratoon cropping (allowing an additional harvestable crop to grow from stubble after the initial harvest), common along the Gulf Coast of the mid‐South, had average CH4 emissions of 540 kg CH4 ha−1 season−1 (95% CI = 465–614). Water and residue management practices such as alternate wetting and drying, and stand establishment method (water vs. dry seeding), and the amount of residue from the previous crop had the largest effect on growing season CH4 emissions. However, soil texture, sulfate additions, and cultivar selection also affected growing season CH4 emissions. This analysis can be used for the development of tools to estimate and mitigate GHG emissions from US rice systems and other similarly mechanized systems in temperate regions.Core Ideas Emissions of CH4 and N2O were quantified for US rice systems using a meta‐analysis. Emissions were determined for both the growing and fallow seasons. We assessed the major management practices affecting emissions. Analysis can be used to develop a tool for quantifying emissions from rice fields.

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Tài liệu tham khảo

10.1016/j.geoderma.2015.11.034

10.2134/jeq2013.05.0167

10.1029/2004GB002378

10.1023/A:1009839929441

10.1007/s003740100420

10.1055/s-2001-12905

10.1023/A:1004817212321

10.1016/S0146-6380(00)00049-8

10.1029/1999GB900040

10.1016/S0038-0717(99)00050-4

Brye K.R., 2004, First‐year soybean growth and production as affected by soil properties following land leveling, Plant Soil, 263, 323, 10.1023/B:PLSO.0000047746.53182.b6

10.1016/j.geodrs.2016.04.005

Buresh R.J., 2008, Nitrogen in agricultural systems, 401

10.1029/1999GB001201

10.1016/j.fcr.2016.12.002

10.1016/j.ecolmodel.2013.04.003

10.1016/S0038-0717(97)00034-5

10.1023/A:1021178713988

10.1023/A:1011380916490

10.1016/S0038-0717(00)00096-1

10.1029/1999GB900084

Dobermann A., 2000, Rice: Nutrient disorders and nutrient management

Eggleston H.S., 2006, 2006 IPCC guidelines for national greenhouse gas inventories, prepared by the National Greenhouse Gas Inventories Programme

FAO 2017 FAOSTAT. FAO

Firestone M.K., 1989, Exchange of trace gases between terrestrial ecosystems and the atmosphere, 7

10.1029/2000GB001259

10.1007/s10980-012-9772-x

10.2307/2529336

10.2136/sssaj2000.6462180x

10.1046/j.1365-2486.1997.00083.x

10.1111/gcb.13737

10.1007/BF00257658

10.1051/agro:2005056

10.1007/s11104-014-2255-x

10.1016/S1002-0160(15)60063-7

La Hue G.T., 2016, Alternate wetting and drying in high yielding direct‐seeded rice systems accomplishes multiple environmental and agronomic objectives, Agric. Ecosyst. Environ., 229, 30, 10.1016/j.agee.2016.05.020

10.1016/j.fcr.2014.10.013

10.1007/BF02390179

10.1016/0038-0717(94)90284-4

10.1007/BF00009503

10.1097/00010694-199307000-00006

10.1016/0167-8809(95)00587-I

10.1007/BF00361607

10.1007/BF02150050

10.1016/S0167-8809(97)00154-0

10.1016/j.fcr.2012.06.007

10.1111/gcb.12701

10.2134/agronj2005.0350

10.2134/agronj2008.0230x

10.1111/j.1365-2486.2011.02502.x

10.1111/j.1365-2486.2009.02145.x

McMillan A.M.S., 2007, Stoichiometry of CH4 and CO2 flux in a California rice paddy, J. Geophys. Res. Biogeosci, 112

Norman R.J., 2013, Rice production handbook, 69

10.1029/93GB02042

10.1016/j.agee.2013.05.011

10.2134/agronj13.0491

10.1038/nature13809

R Core Team, 2016, R: A language and environment for statistical computing

10.1126/science.290.5493.966

Rogers C.W., 2014, Methane emissions from drill‐seeded, delayed‐flood rice production on a silt‐loam soil in Arkansas, J. Environ. Qual., 42, 1059, 10.2134/jeq2012.0502

10.1097/SS.0000000000000039

Rogers C.W., 2017, Nitrogen source effects on methane emissions from drill‐seeded, delayed‐flood rice production, Soil Sci., 182, 9, 10.1097/SS.0000000000000188

10.1029/2000GB001355

10.1029/94GB00588

10.1029/92GB01674

10.1029/96GB03040

10.1029/97GB00627

10.2134/jeq2014.07.0286

10.1002/2015JG002915

10.1155/2016/9542361

10.1080/00380768.1982.10432433

Street J.E., 2003, Rice: Origin, history, technology, and production, 271

10.1890/02-0472

USDA, 2017, 2016 state agriculture overview: Arkansas

USDA‐NASS, 2016, Published crop‐specific data layer

USEPA, 2017, Inventory of U.S. greenhouse gas emissions and sinks: 1990–2015

10.1111/j.1365-2486.2007.01388.x

10.1007/BF00361401

10.1023/A:1021171303510

10.1023/A:1009874014903

10.1016/j.soilbio.2017.08.029

10.1007/s10705-005-3361-1

10.1029/2008GB003299

10.1111/j.1365-2486.2005.00976.x

10.1007/s00376-001-0027-z

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Journal of Environmental Quality

Tập 47 Số 3

395-409

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