Correction to: Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison (Nutrient Cycling in Agroecosystems, (2018), 110, 1, (177-193), 10.1007/s10705-017-9883-5)

Andreas Pacholski; Johannes Doehler; Urs Schmidhalter; Thomas Kreuter

doi:10.1007/s10705-017-9890-6

Correction to: Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison (Nutrient Cycling in Agroecosystems, (2018), 110, 1, (177-193), 10.1007/s10705-017-9883-5)

Research output: Journal contributions › Other (editorial matter etc.) › Research

Standard

Correction to: Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison (Nutrient Cycling in Agroecosystems, (2018), 110, 1, (177-193), 10.1007/s10705-017-9883-5). / Pacholski, Andreas; Doehler, Johannes; Schmidhalter, Urs et al.
In: Nutrient Cycling in Agroecosystems, Vol. 110, No. 1, 01.01.2018, p. 195-196.

Research output: Journal contributions › Other (editorial matter etc.) › Research

Bibtex

@article{3f2b87bca5054accb5df44c13cccaaca,

title = "Correction to: Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison (Nutrient Cycling in Agroecosystems, (2018), 110, 1, (177-193), 10.1007/s10705-017-9883-5)",

abstract = "The captions of figures 3–6 in the original publication are misplaced. The correct figure captions are as follows.Fig. 3: Linear regression of simulated relative ammonia emissions by the dynamic model Volt Air on measured relative ammonia emissions for the parameterization data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE).Fig. 4: Linear regression of simulated relative ammonia emissions by the dynamic model Volt{\textquoteright}Air on measured relative ammonia emissions for the validation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). Fig. 5: Linear regression of simulated relative ammonia emissions by the statistical model on measured relative ammonia emissions for the parameterisation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). Fig. 6: Linear regression of simulated relative ammonia emissions by the statistical model on measured relative ammonia emissions for the validation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2),d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). The original article was corrected.",

keywords = "Ecosystems Research",

author = "Andreas Pacholski and Johannes Doehler and Urs Schmidhalter and Thomas Kreuter",

year = "2018",

month = jan,

day = "1",

doi = "10.1007/s10705-017-9890-6",

language = "English",

volume = "110",

pages = "195--196",

journal = "Nutrient Cycling in Agroecosystems",

issn = "1385-1314",

publisher = "Kluwer Academic Publishers",

number = "1",

}

RIS

TY - JOUR

T1 - Correction to

T2 - Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison (Nutrient Cycling in Agroecosystems, (2018), 110, 1, (177-193), 10.1007/s10705-017-9883-5)

AU - Pacholski, Andreas

AU - Doehler, Johannes

AU - Schmidhalter, Urs

AU - Kreuter, Thomas

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The captions of figures 3–6 in the original publication are misplaced. The correct figure captions are as follows.Fig. 3: Linear regression of simulated relative ammonia emissions by the dynamic model Volt Air on measured relative ammonia emissions for the parameterization data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE).Fig. 4: Linear regression of simulated relative ammonia emissions by the dynamic model Volt’Air on measured relative ammonia emissions for the validation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). Fig. 5: Linear regression of simulated relative ammonia emissions by the statistical model on measured relative ammonia emissions for the parameterisation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). Fig. 6: Linear regression of simulated relative ammonia emissions by the statistical model on measured relative ammonia emissions for the validation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2),d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). The original article was corrected.

AB - The captions of figures 3–6 in the original publication are misplaced. The correct figure captions are as follows.Fig. 3: Linear regression of simulated relative ammonia emissions by the dynamic model Volt Air on measured relative ammonia emissions for the parameterization data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE).Fig. 4: Linear regression of simulated relative ammonia emissions by the dynamic model Volt’Air on measured relative ammonia emissions for the validation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). Fig. 5: Linear regression of simulated relative ammonia emissions by the statistical model on measured relative ammonia emissions for the parameterisation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2), d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). Fig. 6: Linear regression of simulated relative ammonia emissions by the statistical model on measured relative ammonia emissions for the validation data set (three sites), modelling performance indicators: axis intercept and slope, coefficient of determination (R2),d-index (d), modelling efficiency (ME), root mean squared error (RMSE), and mean bias error (MBE). The original article was corrected.

KW - Ecosystems Research

UR - http://www.scopus.com/inward/record.url?scp=85031395697&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/5b2363eb-1004-3a7e-8d48-38c4f515ae64/

U2 - 10.1007/s10705-017-9890-6

DO - 10.1007/s10705-017-9890-6

M3 - Other (editorial matter etc.)

AN - SCOPUS:85031395697

VL - 110

SP - 195

EP - 196

JO - Nutrient Cycling in Agroecosystems

JF - Nutrient Cycling in Agroecosystems

SN - 1385-1314

IS - 1

ER -