Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model.

Liang, Kang; Zhang, Xuesong; Liang, Xin-Zhong; Jin, Virginia L; Birru, Girma; Schmer, Marty R; Robertson, G Philip; McCarty, Gregory W; Moglen, Glenn E

Liang, Kang; Zhang, Xuesong; Liang, Xin-Zhong; Jin, Virginia L; Birru, Girma; Schmer, Marty R; Robertson, G Philip; McCarty, Gregory W; Moglen, Glenn E.

Afiliación

Liang K; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA.
Zhang X; USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705-2350, USA. Electronic address: Xuesong.Zhang@usda.gov.
Liang XZ; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA; Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD 20742, USA.
Jin VL; USDA-ARS Agroecosystem Management Research, Lincoln, NE 68583, USA.
Birru G; USDA-ARS Agroecosystem Management Research, Lincoln, NE 68583, USA.
Schmer MR; USDA-ARS Agroecosystem Management Research, Lincoln, NE 68583, USA.
Robertson GP; W. K. Kellogg Biological Station and Dept. of Plant, Soil & Microbial Sciences, Michigan State University, Hickory Corners, MI 49060, USA.
McCarty GW; USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705-2350, USA.
Moglen GE; USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705-2350, USA.

Sci Total Environ ; 879: 162906, 2023 Jun 25.

Article en En | MEDLINE | ID: mdl-36934923

Palabras clave

Agroecosystem; Environmental sustainability; Management practices; SWAT-C; Soil inorganic nitrogen

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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