Regional modelling of rice yields and nitrogen loss in Hubei Province using the WHCNS model

IF 6.1 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agricultural Systems Pub Date : 2024-12-25 DOI:10.1016/j.agsy.2024.104249

Chao Li, Xinrui Shi, William D. Batcholer, Puyu Feng, Kelin Hu

引用次数: 0

Abstract

Excessive nitrogen (N) fertilization has led to serious environmental problems. Exploring the spatial distribution of rice yields and N loss is crucial to determine optimal N fertilizer management. However, previous studies are mostly based on field scale, it's a big challenge to use model approach to explore the spatial distribution and influencing factors of rice yields and N loss due to lack of field management, soil and crop information at regional scale.

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基于WHCNS模型的湖北省水稻产量和氮损失区域模拟

过量施氮导致了严重的环境问题。研究水稻产量和氮素损失的空间分布对确定最佳氮肥管理至关重要。然而，以往的研究大多基于田间尺度，缺乏区域尺度的田间管理、土壤和作物信息，难以利用模型方法探索水稻产量和氮流失的空间分布及其影响因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.