The NBCalCer model for calculating global benefits and costs of nitrogen fertilizer use for cereal cultivation: Model description, uncertainty analysis and validation

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-04-01 Epub Date: 2025-02-06 DOI:10.1016/j.compag.2025.110039
Alfredo Rodríguez , Hans J.M. van Grinsven , Rasmus Einarsson , Arthur H.W. Beusen , Alberto Sanz-Cobena , Luis Lassaletta
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Abstract

The challenge of achieving food security in a world with a growing population, given decreasing area of good arable land, and climate change impacts, necessitates structural system changes which includes a more efficient and less polluting agricultural practices. Cereals represent the major staple crop to feed the global population, and its production heavily relies on synthetic nitrogen (N) fertilizers. However, increasing fertilizer inputs for higher yields is not sustainable without proper management of soil, crop, inputs, water and nutrients. The NBCalCer tool was developed to evaluate options for a more sustainable cereal cultivation. NBCalCer quantifies long-term yield responses to N inputs and its implications for N budgets, N losses and environmental impacts for global countries. Crop benefits and environmental damages are monetized to assess benefit-cost consequences for the farming sector and society, to determine optimal N inputs for both sufficient grain supply and acceptable N pollution levels.

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计算全球谷物种植氮肥收益和成本的NBCalCer模型:模型描述、不确定性分析和验证
在一个人口不断增长的世界上,鉴于良好耕地面积的减少和气候变化的影响,实现粮食安全的挑战需要进行结构系统变革,包括更有效和更少污染的农业做法。谷物是养活全球人口的主要粮食作物,其生产严重依赖合成氮肥。然而,如果不对土壤、作物、投入物、水和养分进行适当管理,增加肥料投入以提高产量是不可持续的。开发NBCalCer工具是为了评估更可持续的谷物种植的各种选择。NBCalCer量化了全球各国对氮投入的长期产量响应及其对氮预算、氮损失和环境影响的影响。将作物效益和环境损害货币化,以评估农业部门和社会的效益-成本后果,以确定满足充足粮食供应和可接受的氮污染水平的最佳氮投入。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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