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Assessing Short‐Term Impacts of Management Practices on N 2 O Emissions From Diverse Mediterranean Agricultural Ecosystems Using a Biogeochemical Model
Author(s) -
Deng Jia,
Li Changsheng,
Burger Martin,
Horwath William R.,
Smart David,
Six Johan,
Guo Lei,
Salas William,
Frolking Steve
Publication year - 2018
Publication title -
journal of geophysical research: biogeosciences
Language(s) - English
Resource type - Journals
eISSN - 2169-8961
pISSN - 2169-8953
DOI - 10.1029/2017jg004260
Subject(s) - environmental science , tillage , biogeochemical cycle , greenhouse gas , denitrification , irrigation , agriculture , mediterranean climate , cropping , agronomy , nitrogen , environmental chemistry , ecology , chemistry , physics , quantum mechanics , biology
Croplands are important sources of nitrous oxide (N 2 O) emissions. The lack of both long‐term field measurements and reliable methods for extrapolating these measurements has resulted in a large uncertainty in quantifying and mitigating N 2 O emissions from croplands. This is especially relevant in regions where cropping systems and farming management practices (FMPs) are diverse. In this study, a process‐based biogeochemical model, DeNitrification‐DeComposition (DNDC), was tested against N 2 O measurements from five cropping systems (alfalfa, wheat, lettuce, vineyards, and almond orchards) representing diverse environmental conditions and FMPs. The model tests indicated that DNDC was capable of predicting seasonal and annual total N 2 O emissions from these cropping systems, and the model's performance was better than the Intergovernmental Panel on Climate Change emission factor approach. DNDC also captured the impacts on N 2 O emissions of nitrogen fertilization for wheat and lettuce, of stand age for alfalfa, as well as the spatial variability of N 2 O fluxes in vineyards and orchards. DNDC overestimated N 2 O fluxes following some heavy rainfall events. To reduce the biases of simulating N 2 O fluxes following heavy rainfall, studies should focus on clarifying mechanisms controlling impacts of environmental factors on denitrification. DNDC was then applied to assess the impacts on N 2 O emissions of FMPs, including tillage, fertilization, irrigation, and management of cover crops. The practices that can mitigate N 2 O emissions include reduced or no tillage, reduced N application rates, low‐volume irrigation, and cultivation of nonleguminous cover crops. This study demonstrates the necessity and potential of utilizing process‐based models to quantify N 2 O emissions from regions with highly diverse cropping systems.