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Modelling the effects of climate change, agricultural inputs, cropping diversity, and environment on soil nitrogen and phosphorus: A case study in Saskatchewan, Canada

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  • Lychuk, Taras E.
  • Moulin, Alan P.
  • Lemke, Reynald L.
  • Izaurralde, Roberto C.
  • Johnson, Eric N.
  • Olfert, Owen O.
  • Brandt, Stewart A.

Abstract

The relative impact of climate change, agricultural inputs, crop diversity, and environment on soil nitrate-N (NO3-N) and labile soil phosphorus (P) has seldom been assessed in the scientific literature. Furthermore crop management of plant nutrients, based on a combination of agricultural inputs and crop diversity, has not been assessed with respect to adaptation to climate change. This modeling study assessed soil NO3-N leaching and labile P simulated with the Environmental Policy Integrated Climate (EPIC) model for historical and future climate scenarios for the Alternative Cropping Systems (ACS) study (1994–2013) in North-Western Saskatchewan, Canada. The EPIC model was updated with 19 years of field management information from the ACS study. The field study was a combination of the three levels of agricultural inputs [organic (ORG), reduced (RED), and high (HI)] and three levels of cropping diversity [low (LOW), diversified annual grains (DAG), and diversified annual & perennial (DAP)]. Recursive partitioning with multivariate analyses of agricultural inputs, cropping diversity, precipitation, growing degree days, and terrain were used to assess changes in NO3-N and P for each climate change scenario. This is the first analysis, with the EPIC model in the Canadian Prairies, of the effects of climate change on NO3-N losses in agricultural runoff, and soil P content in the context of different agricultural input systems in combinations with diversified rotations. NO3-N losses increased by 28% (from 27.1 to 34.7 kg ha−1 y−1), while labile soil P decreased by 12% (from 24.7 to 21.6 kg ha−1 y−1) under climate change, compared to historical weather. Summer precipitation explained 12% of total variation in future NO3-N losses. Combined, input and diversity explained 23% and 20% of variation in NO3-N losses and labile P, respectively. Cropping diversity was most significant, with reduced NO3-N leaching and labile P under climate change, accounting for 22% and 13% of total variation, respectively. Combined, RED inputs and DAG diversity reduced the impact of climate change on NO3-N losses and soil P and may provide a sustainable, adaptive solution for farming with regards to upcoming seasonal variations in temperature and precipitation. The scientific community, decision and policy makers will use this information to develop conceptual and practical farm- and field-scale technologies for producers, in order to adapt to the impact of climate change on agricultural production and the environment, with methodology which can be applied in Canada and other countries.

Suggested Citation

  • Lychuk, Taras E. & Moulin, Alan P. & Lemke, Reynald L. & Izaurralde, Roberto C. & Johnson, Eric N. & Olfert, Owen O. & Brandt, Stewart A., 2021. "Modelling the effects of climate change, agricultural inputs, cropping diversity, and environment on soil nitrogen and phosphorus: A case study in Saskatchewan, Canada," Agricultural Water Management, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:agiwat:v:252:y:2021:i:c:s0378377421001153
    DOI: 10.1016/j.agwat.2021.106850
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    1. Singer, J.W. & Malone, R.W. & Jaynes, D.B. & Ma, L., 2011. "Cover crop effects on nitrogen load in tile drainage from Walnut Creek Iowa using root zone water quality (RZWQ) model," Agricultural Water Management, Elsevier, vol. 98(10), pages 1622-1628, August.
    2. Wang, Zhaozhi & Zhang, T.Q. & Tan, C.S. & Taylor, R.A.J. & Wang, X. & Qi, Z.M. & Welacky, T., 2018. "Simulating crop yield, surface runoff, tile drainage and phosphorus loss in a clay loam soil of the Lake Erie region using EPIC," Agricultural Water Management, Elsevier, vol. 204(C), pages 212-221.
    3. Philip W. Gassman & Jimmy R. Williams & Verel W. Benson & R. César Izaurralde & Larry M. Hauck & C. Allan Jones & Jay D. Atwood & James Kiniry & Joan D. Flowers, 2005. "Historical Development and Applications of the EPIC and APEX Models," Center for Agricultural and Rural Development (CARD) Publications 05-wp397, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    4. Kiniry, James R. & Major, D. J. & Izarralde, R. C. & Williams, J. R. & Gassman, Philip W. & Morrison, M. & Bergentine, R. & Zentner, R. P., 1995. "Epic Model Parameters for Cereal, Oilseed, and Forage Crops in the Northern Great Plains Region," Staff General Research Papers Archive 894, Iowa State University, Department of Economics.
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    1. Alan F. Hamlet & Nima Ehsani & Jennifer L. Tank & Zachariah Silver & Kyuhyun Byun & Ursula H. Mahl & Shannon L. Speir & Matt T. Trentman & Todd V. Royer, 2024. "Effects of climate and winter cover crops on nutrient loss in agricultural watersheds in the midwestern U.S," Climatic Change, Springer, vol. 177(1), pages 1-21, January.

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