中国主产区小麦籽粒中镉、铅的空间分布及其环境驱动因素

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Zhenfeng Zang , Suhua Liu , Yonghua Li
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引用次数: 0

摘要

镉和铅可通过食物链进入人体,对人体健康和食品安全构成威胁。了解主产区小麦籽粒中Cd、Pb的空间分布格局,识别其主要驱动因素,可为制定精准的污染修复与管理措施提供科学参考,保障粮食安全和农业可持续发展。本研究采用多方法协同,整合多源环境数据,综合分析中国典型小麦主产区小麦籽粒中镉、铅浓度的空间分布格局及其环境驱动因素。结果表明,小麦籽粒中镉和铅的平均浓度均低于国家标准限值,超标率分别为11.69%和8.83%。镉和铅的空间分布特征相似,具有明显的空间集聚特征,西北部和南部为高值区集聚区。牲畜施用和粪肥施用对镉和铅的空间分布影响最大,q值分别为0.105和0.187,其次是肥料施用和人口密度。镉的分布受畜禽、粪肥、化肥等因素的影响,东部地区大于西部地区,而铅的分布东南高于西北地区。地理探测器综合分析和地理加权回归分析表明,畜禽粪便施用、化肥施用、人口密度和工业活动是影响Cd和Pb空间分布的主要因素。研究结果有助于进一步认识小麦籽粒中镉、铅的空间分布格局和环境驱动因素,为小麦安全生产提供新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatial distribution of cadmium and lead in wheat grains and their environmental driving factors in major grain-producing areas, China

Spatial distribution of cadmium and lead in wheat grains and their environmental driving factors in major grain-producing areas, China
Cadmium and lead can enter the human body through the food chain, posing a threat to human health and food safety. Knowledge of the spatial distribution pattern of Cd and Pb in wheat grains in the major grain producing areas and identification of the main driving factors can provide scientific references for development of precise pollution remediation and management measures to ensure food security and sustainable agricultural development. The study adopted multi-method collaboration, and integrated multi-source environment data to comprehensively analyze the spatial distribution pattern and their environmental driving factors of cadmium and lead concentrations in wheat grains in a typical major wheat producing area in China. Results showed that the mean concentrations of cadmium and lead in wheat grains were lower than the Chinese standard limits, with the exceedance rates of 11.69 % and 8.83 %, respectively. The spatial distribution characteristics of cadmium and lead was similar, and had obvious spatial aggregation characteristics, i.e., the northwestern and southern parts were the agglomeration of high-value areas. The livestock and manure application had the most significant effect on the spatial distribution of cadmium and lead, with q values of 0.105 and 0.187, respectively, followed by fertilizer application and population density. The distribution of cadmium was more influenced by livestock and manure application, fertilizer application, etc. in the eastern region than in the western region, whereas for lead, it was higher in the southeast than in the northwest. The comprehensive analysis of geodetector and geographically weighted regression indicated that the livestock and manure application, fertilizer application, population density, and industrial activities were the main driving factors for the spatial distribution of Cd and Pb. The findings enhance our understanding of the spatial distribution pattern and environmental driving factors of cadmium and lead in wheat grains, offering a new perspective on the safe production of wheat.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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