Integrating environmental footprints and ecosystem economic performance to evaluate nitrogen management in intensive drip-irrigated potato production

IF 6.1 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agricultural Systems Pub Date : 2024-09-02 DOI:10.1016/j.agsy.2024.104110

Yunfei Di , Haibo Yang , Yuncai Hu , Fei Li

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引用次数: 0

Abstract

Context

Excessive fertilizer application and poor agronomy management result in adverse environmental impacts and high environmental and economic costs for ecological restoration.

Objective

Analyzing the integrated effects of nitrogen (N) management on environmental footprints, human health, and ecosystem economic benefits (EEB) is essential to intensive potato cultivation under drip irrigation in Northwest China.

Methods

In this study, field experiments were conducted from 2018 to 2020 to evaluate environmental footprints and EEB based on the life cycle assessment (LCA), and a random forest algorithm was used to identify the importance of indicators to N and carbon (C) footprints. The N fertilizer levels were denoted as no N fertilizer application (Control), farmer practice (FP), and optimized N management (OM) based on N-balance principles, soil mineral N, and target yield.

Results and conclusions

The results revealed that OM treatment remarkably reduced reactive N (Nr) losses, greenhouse gas (GHG) emissions, environmental footprints, and ecosystem costs and increased human health and net EEB potentials per tonne or hectare of potato production. The OM treatment achieved 47.8 %, 27.7 %, 48.8 %, 30.4 %, and 42.9 % lower Nr losses, GHG emissions, N footprint, C footprint, and ecological costs, and 19.6 % higher N-derived net EEB compared to the FP treatment, respectively. The N leaching to the N footprint and N fertilizer to the C footprint were the most critical indicators and gained the highest importance scores. The decreased environmental footprints and increased EEB of OM treatments matched environmentally sustainable demand more than the FP treatment.

Significance

Integrating management measures and optimized N fertilizer rates have significant potential for environmental impacts and sustainable development in an intensive potato system under drip irrigation.

Abstract Image

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整合环境足迹和生态系统经济绩效，评估集约化滴灌马铃薯生产中的氮管理

背景化肥施用过量和农艺管理不善会对环境造成不利影响，并为生态恢复带来高昂的环境和经济成本。目标分析氮素（N）管理对环境足迹、人类健康和生态系统经济效益（EEB）的综合影响对于中国西北地区滴灌条件下的马铃薯集约化种植至关重要。方法在本研究中，从2018年到2020年进行了田间试验，基于生命周期评估（LCA）评估环境足迹和EEB，并使用随机森林算法识别指标对氮足迹和碳（C）足迹的重要性。结果和结论结果显示，OM 处理显著减少了反应性氮（Nr）损失、温室气体（GHG）排放、环境足迹和生态系统成本，并提高了每吨或每公顷马铃薯产量的人类健康和净 EEB 潜力。与 FP 处理相比，OM 处理的氮损失、温室气体排放、氮足迹、碳足迹和生态成本分别降低了 47.8%、27.7%、48.8%、30.4% 和 42.9%，氮衍生净 EEB 提高了 19.6%。氮浸出对氮足迹的影响和氮肥对碳足迹的影响是最关键的指标，重要性得分最高。在滴灌条件下的马铃薯集约化种植系统中，综合管理措施和优化的氮肥施用量对环境影响和可持续发展具有巨大潜力。

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来源期刊

Agricultural Systems 农林科学-农业综合

CiteScore

13.30

自引率

7.60%

发文量

174

审稿时长

30 days

期刊介绍： Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.