Limits of agricultural greenhouse gas calculators to predict soil N2O and CH4 fluxes in tropical agriculture

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作者
Meryl Richards
Ruth Metzel
Ngonidzashe Chirinda
Proyuth Ly
George Nyamadzawo
Quynh Duong Vu
Andreas de Neergaard
Myles Oelofse
Eva Wollenberg
Emma Keller
Daniella Malin
Jørgen E. Olesen
Jonathan Hillier
Todd S. Rosenstock
机构
[1] CGIAR Research Program on Climate Change,Department of Soil Science and Agricultural Engineering
[2] Agriculture and Food Security,Department of Plant and Environmental Sciences
[3] University of Copenhagen,Department of Agroecology
[4] Gund Institute,undefined
[5] 617 Main Street,undefined
[6] University of Vermont,undefined
[7] Yale School of Management & Yale School of Forestry and Environmental Studies,undefined
[8] International Center for Tropical Agriculture,undefined
[9] United Nations Development Programme,undefined
[10] P.O.Box MP167 Mount Pleasant,undefined
[11] University of Zimbabwe,undefined
[12] Institute for Agricultural Environment,undefined
[13] Vietnamese Academy of Agricultural Sciences,undefined
[14] Vĩnh Quỳnh,undefined
[15] Thanh Trì,undefined
[16] Hanoi,undefined
[17] Vietnam ,undefined
[18] University of Copenhagen,undefined
[19] WWF-UK,undefined
[20] The Living Planet Centre,undefined
[21] Rufford House,undefined
[22] Brewery Road,undefined
[23] Sustainable Food Lab,undefined
[24] Blichers Allé 20,undefined
[25] Aarhus University,undefined
[26] School of Biological Sciences,undefined
[27] University of Aberdeen,undefined
[28] World Agroforestry Centre,undefined
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摘要
Demand for tools to rapidly assess greenhouse gas impacts from policy and technological change in the agricultural sector has catalyzed the development of ‘GHG calculators’— simple accounting approaches that use a mix of emission factors and empirical models to calculate GHG emissions with minimal input data. GHG calculators, however, rely on models calibrated from measurements conducted overwhelmingly under temperate, developed country conditions. Here we show that GHG calculators may poorly estimate emissions in tropical developing countries by comparing calculator predictions against measurements from Africa, Asia, and Latin America. Estimates based on GHG calculators were greater than measurements in 70% of the cases, exceeding twice the measured flux nearly half the time. For 41% of the comparisons, calculators incorrectly predicted whether emissions would increase or decrease with a change in management. These results raise concerns about applying GHG calculators to tropical farming systems and emphasize the need to broaden the scope of the underlying data.
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