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A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production

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Title A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production
 
Creator Li, Man
Guo, Zhe
Zhang, Wei
 
Subject agriculture
nitrogen
organic fertilizers
chemical fertilizer
pollution
environment
ecosystems
human health
crop production
food insecurity
environmental degradation
climate change
sustainable intensification
technological innovation
modeling
 
Description Excess agricultural nitrogen, mainly from manure and chemical fertilizers, is a primary source of nutrient pollution and presents serious environmental threats to natural ecosystems and human health. Improvements in nitrogen-use efficiency in crop production are critical for addressing the triple challenge of food insecurity, environmental degradation, and climate change. Approaches such as sustainable intensification that stress technological innovations have received the most attention. But science-based cropland use planning, a promising complementary approach, has so far been largely overlooked. Here we develop a spatially integrated economic-ecological modeling method to assess this previously unexplored potential for improving the economic-environmental performance of crop production by examining the seasonal and spatial implications of cropland and fertilizer use in Bangladesh. In doing so, we aim to make the modeling method accessible to researchers and practitioners interested in achieving the dual goal of food production and environmental sustainability for countries that are characterized by seasonal and spatial variations in crop mix and cropping practices.
 
Date 2022-09-15
2023-01-16T15:21:20Z
2023-01-16T15:21:20Z
 
Type Journal Article
 
Identifier Li, Man; Guo, Zhe; and Zhang, Wei. 2022. A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production. MethodsX 9(2022): 101906. https://doi.org/10.1016/j.mex.2022.101906
2215-0161
https://hdl.handle.net/10568/127228
https://doi.org/10.1016/j.mex.2022.101906
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 101906
 
Publisher Elsevier
 
Source MethodsX