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Quantification of the Relationship Among Cropland Area, Cropland Management Measures, and Cropland Productivity Using Panel Data Model

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Abstract

Cropland forms the material basis for human survival and is an important determinant of national food security. Cropland net primary productivity, which is the basis of food production and an important indicator of cropland productivity, reflects the production capacity of crops under natural conditions. However, currently, only limited knowledge was available on the relationship among cropland area, cropland management measures, and cropland productivity in China. Hence, in the current study, we used the panel data model to quantify the effects of cropland area and various cropland management measures (e.g., fertilizer use, irrigation area, agricultural machinery power, pesticide use, and agricultural film use) on cropland total net primary productivity (TNPP). Results revealed that for the entire cropland in China, an increase in cropland area, fertilizer use, agricultural machinery power, pesticide use, and agricultural film use increased cropland TNPP, whereas an increase in irrigation area decreased cropland TNPP. Further, in grain-producing areas, an increase in cropland area, fertilizer use, irrigation area, agricultural machinery power, pesticide use, and agricultural film use resulted in an increase in cropland TNPP. Moreover, in grain-balanced areas, an increase in cropland area, fertilizer use, pesticide use, and agricultural film use led to an increase in cropland TNPP, while an increase in irrigation area and agricultural machinery power reduced cropland TNPP. Finally, in grain-consuming areas, increases in cropland area, irrigation area, pesticide use, and agricultural film use caused an increase in cropland TNPP, whereas increases in fertilizer use and agricultural machinery power reduced cropland TNPP. Therefore, it is necessary to prevent the encroachment of fertile cropland and, simultaneously, implement scientific management measures based on local conditions in croplands.

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Acknowledgements

This work was funded by the National Science Foundation for Young Scientists of China (No. 42007406), the Special Project for Guangzhou Science and Technology Innovation and Development (NO.006290499067), and the Fundamental Research Funds for the Non-key Project of South China Institute of Environmental Science, MEE (No. PM-zx703-202002-054).

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Authors and Affiliations

  1. Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China

    Yuchao Yan

  2. Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, 200241, China

    Xiaojuan Liu

  3. South China Institute of Environmental Science, Ministry of Ecology and Environment, No.18 Ruihe RD., Guangzhou, 510535, China

    Youyue Wen

  4. State Environmental Protection Key Laboratory of Urban Ecological Simulation and Protection, No.18 Ruihe RD., Guangzhou, 510535, China

    Youyue Wen

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  1. Yuchao Yan
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Yan, Y., Liu, X. & Wen, Y. Quantification of the Relationship Among Cropland Area, Cropland Management Measures, and Cropland Productivity Using Panel Data Model. Int. J. Plant Prod. 14, 689–702 (2020). https://doi.org/10.1007/s42106-020-00113-5

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