Phenology-based Crop Classification Algorithm and its Implications on Agricultural Water Use Assessments in California’s Central Valley

2012 ◽  
Vol 78 (8) ◽  
pp. 799-813 ◽  
Author(s):  
Liheng Zhong ◽  
Peng Gong ◽  
Greg S. Biging
Keyword(s):  
Water Use ◽  
Central Valley ◽  
Classification Algorithm ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Crop Classification ◽  
California's Central Valley ◽  
California’S Central Valley

Economic and policy drivers of agricultural water desalination in California’s central valley

2017 ◽  
Vol 194 ◽  
pp. 192-203 ◽  
Author(s):  
Paul D. Welle ◽  
Josué Medellín-Azuara ◽  
Joshua H. Viers ◽  
Meagan S. Mauter
Keyword(s):  
Central Valley ◽  
Water Desalination ◽  
Agricultural Water ◽  
California's Central Valley ◽  
California’S Central Valley

scholarly journals What Drives Crop Land Use Change during Multi-Year Droughts in California’s Central Valley? Prices or Concern for Water?

2021 ◽  
Vol 13 (4) ◽  
pp. 650
Author(s):  
Mekonnen Gebremichael ◽  
P. Krishna Krishnamurthy ◽  
Lula T. Ghebremichael ◽  
Sarfaraz Alam
Keyword(s):  
Resource Management ◽  
Water Use ◽  
Water Resource ◽  
Water Resource Management ◽  
Central Valley ◽  
Cropping Pattern ◽  
Economic Activities ◽  
The Impact ◽  
California's Central Valley ◽  
California’S Central Valley

The recent multi-year droughts in California have highlighted the heightened risk of longer and more intense droughts, thus increasing the interest in understanding potential impacts for major economic activities, such as agriculture. This study examines changes in cropping pattern in California’s Central Valley between 2007 and 2016 in response to two consecutive droughts (2007–2009 and 2012–2016), factors driving these changes, and the impact of these changes on groundwater level. Results indicate that Central Valley experienced a shift in cropping pattern from alfalfa, cereals (rice, winter wheat, corn, and oats), and cotton, to nut (almonds, walnuts, and pistachios) and fruit (grapes, oranges, and tomatoes) tree crops. This shift in cropping pattern was likely driven by high crop prices, increasing trend in crop price, and increasing water pumping cost, particularly in the relatively water-stressed southern parts of Central Valley. While the total cropland water use for Central Valley remained the same during 2007–2016 (during both wet and dry years), they vary from county to county. Some counties experienced large reductions in cropland water use, while other counties experienced large increases in cropland water use, indicating the need for county-specific water resource management. The results also indicate that both land management (determining size of fallow land), as well as crop management (choice of crop types), are key factors in water resource management.

Modifying agricultural water management to adapt to climate change in California’s central valley

2011 ◽  
Vol 109 (S1) ◽  
pp. 299-316 ◽  
Author(s):  
Brian A. Joyce ◽  
Vishal K. Mehta ◽  
David R. Purkey ◽  
Larry L. Dale ◽  
Michael Hanemann
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Central Valley ◽  
Agricultural Water ◽  
Agricultural Water Management ◽  
California's Central Valley ◽  
California’S Central Valley

scholarly journals Spatial–Temporal Evolution Characteristics and Influencing Factors of Agricultural Water Use Efficiency in Northwest China—Based on a Super-DEA Model and a Spatial Panel Econometric Model

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 632
Author(s):  
Weinan Lu ◽  
Wenxin Liu ◽  
Mengyang Hou ◽  
Yuanjie Deng ◽  
Yue Deng ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Resource ◽  
Arid Regions ◽  
Econometric Model ◽  
Northwest China ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Semi Arid

Improving agricultural water use efficiency (AWUE) is an important way to solve the shortage of water resources in arid and semi-arid regions. This study used the Super-DEA (data envelopment analysis) to measure the AWUE of 52 cities in Northwest China from 2000 to 2018. Based on spatial and temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) to explore the dynamic evolution and regional differences of AWUE. A spatial econometric model was then used to analyze the main factors that influence the AWUE in Northwest China. The results showed firstly that the overall AWUE in Northwest China from 2000 to 2018 presented a steady upward trend. However, only a few cities achieved effective agricultural water usage by 2018, and the differences among cities were obvious. Secondly, AWUE showed an obvious spatial autocorrelation in Northwest China and showed significant high–high and low–low agglomeration characteristics. Thirdly, economic growth, urbanization development, and effective irrigation have significant, positive effects on AWUE, while per capita water resource has a significant, negative influence. Finally, when improving the AWUE in arid and semi-arid regions, plans should be formulated according to local conditions. The results of this study can provide new ideas on the study of AWUE in arid and semi-arid regions and provide references for the formulation of regional agricultural water resource utilization policies as well.

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