Risk of pesticide pollution at the global scale

环境科学 生物多样性 污染 农业 杀虫剂 环境保护 环境污染 自然资源经济学 地理 环境规划 生态学 生物 经济 考古
作者
Fiona H. M. Tang,Manfred Lenzen,Alex B. McBratney,Federico Maggi
出处
期刊:Nature Geoscience [Nature Portfolio]
卷期号:14 (4): 206-210 被引量:1223
标识
DOI:10.1038/s41561-021-00712-5
摘要

Pesticides are widely used to protect food production and meet global food demand but are also ubiquitous environmental pollutants, causing adverse effects on water quality, biodiversity and human health. Here we use a global database of pesticide applications and a spatially explicit environmental model to estimate the world geography of environmental pollution risk caused by 92 active ingredients in 168 countries. We considered a region to be at risk of pollution if pesticide residues in the environment exceeded the no-effect concentrations, and to be at high risk if residues exceeded this by three orders of magnitude. We find that 64% of global agricultural land (approximately 24.5 million km2) is at risk of pesticide pollution by more than one active ingredient, and 31% is at high risk. Among the high-risk areas, about 34% are in high-biodiversity regions, 5% in water-scarce areas and 19% in low- and lower-middle-income nations. We identify watersheds in South Africa, China, India, Australia and Argentina as high-concern regions because they have high pesticide pollution risk, bear high biodiversity and suffer from water scarcity. Our study expands earlier pesticide risk assessments as it accounts for multiple active ingredients and integrates risks in different environmental compartments at a global scale. Pesticide pollution is a risk for two-thirds of agriculture land. A third of high-risk areas are in high-biodiversity regions and a fifth are in low- and lower-middle-income areas, according to environmental modelling combined with pesticide application data.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_VZG7GZ应助科研通管家采纳,获得20
刚刚
刚刚
刚刚
李健应助科研通管家采纳,获得10
刚刚
2秒前
李小明完成签到,获得积分10
4秒前
5秒前
ZeYa发布了新的文献求助10
6秒前
淡定东东完成签到,获得积分10
6秒前
科研通AI6.2应助jacky采纳,获得10
8秒前
清都完成签到 ,获得积分10
8秒前
糖炒李子完成签到,获得积分10
9秒前
Muhebbet发布了新的文献求助10
9秒前
清爽的枕头完成签到,获得积分10
9秒前
漂泊2025完成签到,获得积分10
9秒前
aajhajkahna应助乐观小蕊采纳,获得10
9秒前
小二郎应助白衣卿相采纳,获得10
9秒前
袁之夺发布了新的文献求助10
11秒前
11秒前
爱吃果冻完成签到 ,获得积分10
13秒前
听闻墨笙发布了新的文献求助10
13秒前
深情安青应助个性严青采纳,获得10
14秒前
14秒前
李爱国应助ZeYa采纳,获得10
16秒前
lemon完成签到,获得积分20
16秒前
华仔应助YTT采纳,获得10
19秒前
22秒前
嗯嗯完成签到 ,获得积分10
22秒前
牛太虚发布了新的文献求助10
24秒前
长风完成签到,获得积分10
25秒前
ZeYa完成签到,获得积分20
26秒前
白衣卿相发布了新的文献求助10
26秒前
28秒前
傅问旋完成签到,获得积分10
29秒前
英俊的铭应助specium采纳,获得10
29秒前
小栗子发布了新的文献求助10
30秒前
30秒前
31秒前
31秒前
标致剑完成签到,获得积分10
32秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Analytical Separation Science 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7547275
求助须知:如何正确求助?哪些是违规求助? 9130649
关于积分的说明 19507917
捐赠科研通 7141255
什么是DOI,文献DOI怎么找? 3259566
关于科研通互助平台的介绍 2426436
邀请新用户注册赠送积分活动 2248120