disaggregation_of_nitrogen_input
Differences
This shows you the differences between two versions of the page.
Next revisionBoth sides next revision | |||
disaggregation_of_nitrogen_input [2020/03/29 08:26] – created matsz | disaggregation_of_nitrogen_input [2020/03/29 08:59] – [Crop response curve] matsz | ||
---|---|---|---|
Line 17: | Line 17: | ||
====Crop response curve==== | ====Crop response curve==== | ||
+ | |||
+ | Different crop response curves are proposed (Bodirsky and Müller, 2014; Godard et al., 2008). We base our response curve on the proposal of (Godard et al., 2008) in particular for the ‘saturation’ velocity(( | ||
+ | |||
+ | \begin{align} | ||
+ | \begin{split} | ||
+ | & | ||
+ | & | ||
+ | \end{split} | ||
+ | \end{align} | ||
+ | |||
+ | \begin{align} | ||
+ | \begin{split} | ||
+ | & | ||
+ | & | ||
+ | \end{split} | ||
+ | \end{align} | ||
+ | |||
+ | \(Y_{r, | ||
+ | \(Y_{r, | ||
+ | \(Y_{r, | ||
+ | \(f^{cropcurve}\) = Scaling factor [parameter, dimensionless] used in the crop response curve (Godard et al., 2008). We use a uniform value of \(f^{cropcurve}=0.008\). \\ | ||
+ | \(Q_{r, | ||
+ | |||
+ | ====Crop growth scaling factor==== | ||
+ | |||
+ | We use a constant factor \(f^{cropcurve}\) for all regions/ | ||
+ | |||
+ | * For \(f^{cropcurve}> | ||
+ | * For \(f^{cropcurve}< | ||
+ | |||
+ | Therefore, only a narrow range around a value of 0.008 seems plausible. | ||
+ | |||
+ | **Figure 44: Crop growth curves according to Godard et al. (2008) for different crop growth scaling factors.** | ||
+ | |||
+ | {{:: | ||
+ | |||
+ | **Figure 45: N input rates that give a yield of 80% of the maximum yield for different crop growth scaling factors according to Godard et al. (2008)** | ||
+ | {{: | ||
+ | |||
+ | **Lower efficiency for manure application** | ||
+ | |||
+ | We assume that manure is applied with less efficiency than mineral fertilizer. First, because we take into account lower nutrient availability in manure with respect to mineral fertilizer (due to reduced opportunity to target release of nutrients to crop demand, thus increasing the chance of nutrient releases in periods with enhanced risks of losses to the environment). Second, due to the fact that higher availability of manure often goes ahead with increased lack of surface where the manure can be applied in a reasonable manner. | ||
+ | |||
+ | Therefore, we assume a decrease of the NUE the higher the share of manure in the fertilizer mix. | ||
+ | |||
+ | We account for this fact by using a different crop response curve for mineral fertilizer and manure. This is realized by varying the theoretical crop curve’s maximum yield. | ||
+ | |||
+ | This is shown in figure below. | ||
+ | |||
+ | **Figure 46: Examples of crop response curves according to Godard et al. (2008).** | ||
+ | |||
+ | {{: | ||
+ | |||
+ | We introduce a dependency of y< | ||
+ | |||
+ | \begin{align} | ||
+ | \begin{split} | ||
+ | & | ||
+ | & | ||
+ | \end{split} | ||
+ | \end{align} | ||
+ | |||
disaggregation_of_nitrogen_input.txt · Last modified: 2022/11/07 10:23 by 127.0.0.1