Key Data Set Information
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Location
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SC-CN
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Geographical representativeness description
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Danling County, locating in Sichuan province of southwest China, is one of top 30 citrus producing counties in China.
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Reference year
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2017
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Name
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Citrus production
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Use advice for data set
| Users should consider the geographical and technological context when applying this data, as it is specific to citrus orchards in Danling County from the years 2017 and 2018. It is important to adjust the data for temporal and regional differences if using it as a reference for other locations or times. Any extrapolation should be done with caution, ensuring an understanding of local agricultural practices, input types and application rates, and emission factors. Methodologically, users should take into account the potential variations in yield, input usage, and emission rates when modeling other processes or locations. |
Technical purpose of product or process
| This dataset represents the inputs and outputs associated with citrus production in Danling County, one of the top citrus-producing areas in China. The data is meant for use in environmental impact studies, agricultural efficiency analysis, and sustainability assessments. It is suitable for understanding the resource utilization and environmental emissions of cultivating citrus plants, particularly in large-scale agricultural settings and in regions with similar climate and cultivation practices to Sichuan province. |
Classification
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Class name
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Hierarchy level
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| Cultivate citrus seedlings, apply pesticides, chemical fertilizers, farm manure and water, and use manual and machine to harvest citrus products,and produce emissions to the air, soil and water, respectively. |
Copyright
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No
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Owner of data set
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Quantitative reference
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Reference flow(s)
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Functional Unit
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One hectare of citrus orchard
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Time representativeness
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Data set valid until
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2018
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Time representativeness description
| Inputs and outputs of the citrus production in Danling County, Sichuan, southwest China based on returned survey questionnaires from 155 farmers in 2017 and 2018. |
Technological representativeness
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Flow diagram(s) or picture(s)
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