Contexts in source publication

Context 1
... Yolo Bypass slopes gradually downward from west to east and north to south. Temperatures are generally lower in the southern end of the Bypass. Consequently, there are heterogeneous production conditions across the region and natural differences in both yield and drainage times. We identified 7 homogenous agricultural sub-regions in the Yolo Bypass which represent these production conditions and, as such, form the basis of the BPM. We used soil and climate data, in addition to interviews with Bypass farmers, to develop homogenous agricultural sub-regions. The regions are illustrated in Figure 1. Note that the BPM, as with the majority of agricultural production models, is a regional economic model, defined over the 7 regions illustrated in Figure 1. Field-level yield and production data are available for a subset of fields in the Bypass (discussed below), and these data are used in the DAYCENT agronomic model. We discuss this point again in Section 2.3 and again in Section 3, but want to raise the point here so the reader is not confused about the use of field-level data versus agricultural sub-regions in the model. As shown in Figure 1, Regions 1 and 2 are located north of Interstate 5, Regions 3 and 4 are located between Interstate 5 and Interstate 80, and Regions 5, 6 and 7 are located south of Interstate 80. The area south of Interstate 80 is divided into three regions due to its relatively large width and the distinct row crop region located in its western portion, which distinguishes it from the managed wetlands and grazing lands located to the east. Region 7 is located outside of the flood inundation footprint and is not anticipated to be affected by the implementation of CM2 of the RPA, so it is not discussed in further detail in this report or considered in the ...
Context 2
... Yolo Bypass slopes gradually downward from west to east and north to south. Temperatures are generally lower in the southern end of the Bypass. Consequently, there are heterogeneous production conditions across the region and natural differences in both yield and drainage times. We identified 7 homogenous agricultural sub-regions in the Yolo Bypass which represent these production conditions and, as such, form the basis of the BPM. We used soil and climate data, in addition to interviews with Bypass farmers, to develop homogenous agricultural sub-regions. The regions are illustrated in Figure 1. Note that the BPM, as with the majority of agricultural production models, is a regional economic model, defined over the 7 regions illustrated in Figure 1. Field-level yield and production data are available for a subset of fields in the Bypass (discussed below), and these data are used in the DAYCENT agronomic model. We discuss this point again in Section 2.3 and again in Section 3, but want to raise the point here so the reader is not confused about the use of field-level data versus agricultural sub-regions in the model. As shown in Figure 1, Regions 1 and 2 are located north of Interstate 5, Regions 3 and 4 are located between Interstate 5 and Interstate 80, and Regions 5, 6 and 7 are located south of Interstate 80. The area south of Interstate 80 is divided into three regions due to its relatively large width and the distinct row crop region located in its western portion, which distinguishes it from the managed wetlands and grazing lands located to the east. Region 7 is located outside of the flood inundation footprint and is not anticipated to be affected by the implementation of CM2 of the RPA, so it is not discussed in further detail in this report or considered in the ...
Context 3
... Yolo Bypass slopes gradually downward from west to east and north to south. Temperatures are generally lower in the southern end of the Bypass. Consequently, there are heterogeneous production conditions across the region and natural differences in both yield and drainage times. We identified 7 homogenous agricultural sub-regions in the Yolo Bypass which represent these production conditions and, as such, form the basis of the BPM. We used soil and climate data, in addition to interviews with Bypass farmers, to develop homogenous agricultural sub-regions. The regions are illustrated in Figure 1. Note that the BPM, as with the majority of agricultural production models, is a regional economic model, defined over the 7 regions illustrated in Figure 1. Field-level yield and production data are available for a subset of fields in the Bypass (discussed below), and these data are used in the DAYCENT agronomic model. We discuss this point again in Section 2.3 and again in Section 3, but want to raise the point here so the reader is not confused about the use of field-level data versus agricultural sub-regions in the model. As shown in Figure 1, Regions 1 and 2 are located north of Interstate 5, Regions 3 and 4 are located between Interstate 5 and Interstate 80, and Regions 5, 6 and 7 are located south of Interstate 80. The area south of Interstate 80 is divided into three regions due to its relatively large width and the distinct row crop region located in its western portion, which distinguishes it from the managed wetlands and grazing lands located to the east. Region 7 is located outside of the flood inundation footprint and is not anticipated to be affected by the implementation of CM2 of the RPA, so it is not discussed in further detail in this report or considered in the ...

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Citations

... 39 This habitat, also once abundant, now primarily exists in the Yolo Bypass, as a by-product of flood protection efforts for the Sacramento metropolitan area. In a recent study, Howitt et al. (2012a) examined the economic costs of expanding this habitat with more deliberate and earlier inundation of the bypass to support native aquatic species. They examined two flow rates (3,000 and 6,000 cfs) for flooding dates ending between February 15 and May 15. ...
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As in many places, groundwater in California (USA) is the major alternative water source for agriculture during drought, so groundwater’s availability will drive some inevitable changes in the state’s water management. Currently, agricultural, environmental, and urban uses compete for groundwater, resulting in substantial overdraft in dry years with lowering of water tables, which in turn increases pumping costs and reduces groundwater pumping capacity. In this study, SWAP (an economic model of agricultural production and water use in California) and C2VISim (the California Department of Water Resources groundwater model for California’s Central Valley) are connected. This paper examines the economic costs of pumping replacement groundwater during drought and the potential loss of pumping capacity as groundwater levels drop. A scenario of three additional drought years continuing from 2014 show lower water tables in California’s Central Valley and loss of pumping capacity. Places without access to groundwater and with uncertain surface-water deliveries during drought are the most economically vulnerable in terms of crop revenues, employment and household income. This is particularly true for Tulare Lake Basin, which relies heavily on water imported from the Sacramento-San Joaquin Delta. Remote-sensing estimates of idle agricultural land between 2012 and 2014 confirm this finding. Results also point to the potential of a portfolio approach for agriculture, in which crop mixing and conservation practices have substantial roles.