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Evaluation of Long-Term SOC and Crop Productivity within Conservation Systems Using GFDL CM2.1 and EPIC

Kieu N. Le (), Manoj K. Jha (), Jaehak Jeong (), Philip W. Gassman (), Manuel R. Reyes (), Luca Doro (), Dat Q. Tran () and Lyda Hok ()
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Kieu N. Le: Department of Natural Resources and Environmental Design, North Carolina A&T State University, Greensboro, NC 27411, USA
Manoj K. Jha: Civil, Architectural & Environmental Engineering, North Carolina A&T State University, Greensboro, NC 27411, USA
Jaehak Jeong: Texas A&M AgriLife Research, Blackland Research and Extension Center, Temple, TX 76502, USA
Philip W. Gassman: Center for Agricultural and Rural Development, Iowa State University, Ames, IA 50011-1054, USA
Manuel R. Reyes: Sustainable Intensification Innovation Lab, Kansas State University, Manhattan, KS 66506, USA
Luca Doro: Texas A&M AgriLife Research, Blackland Research and Extension Center, Temple, TX 76502, USA
Dat Q. Tran: Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 72701, USA
Lyda Hok: Department of Soil Science, Faculty of Agronomy, Royal University of Agriculture, Phnom Penh 12401, Cambodia

Sustainability, 2018, vol. 10, issue 8, 1-17

Abstract: Will soil organic carbon (SOC) and yields increase for conservation management systems in tropical zones in response to the next 100 years? To answer the question, the Environmental Policy Integrated Climate (EPIC) model was used to study the effects of climate change, cropping systems, conservation agriculture (CA) and conservation tillage management practices on SOC and crop productivity in Kampong Cham, Cambodia. The EPIC model was successfully calibrated and validated for crop yields, biomass, SOC and nitrogen based on field data from a five-year field experiment. Historical weather (1994–2013) was used for baseline assessment versus mid-century (2046–2064) and late-century (2081–2100) climate projections generated by the Geophysical Fluids Dynamics Laboratory (GFDL) CM2.1 global climate model. The simulated results showed that upland rice yield would increase the most under the B1 scenario in mid-century for all treatments, followed by soybean and maize. Cassava yield only increased under CA treatment when cultivated as a continuous primary crop. Carbon sequestration was more sensitive to cropping systems and crop rotation than climate change. The results indicated that the rotated CA primary crop (maize) systems should be prioritized for SOC sequestration as well as for increasing crop productivity. In addition, rice systems may increase SOC compared to soybean and cassava.

Keywords: upland rice; cassava; soybean; conservation agriculture; soil organic carbon (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
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Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2665-:d:160652