nerc.ac.uk

Integrated livestock sector nitrogen pollution abatement measures could generate net benefits for human and ecosystem health in China

Zhu, Zhiping; Zhang, Xiuming; Dong, Hongmin; Wang, Sitong; Reis, Stefan ORCID: https://orcid.org/0000-0003-2428-8320; Li, Yue; Gu, Baojing. 2022 Integrated livestock sector nitrogen pollution abatement measures could generate net benefits for human and ecosystem health in China. Nature Food, 3 (2). 161-168. https://doi.org/10.1038/s43016-022-00462-6

Before downloading, please read NORA policies.
[img]
Preview
Text
N532168PP.pdf - Accepted Version

Download (18MB) | Preview

Abstract/Summary

Nearly one quarter of global meat production occurs in China, but a lack of detailed spatial livestock production data hinders ongoing pollution mitigation strategies. Here we generate high-resolution maps of livestock systems in China using over 480,000 farm surveys from 2007 to 2017, finding that China produced more livestock protein with fewer animals and less total pollution impact through better breeding, feeding and manure management in large-scale livestock farms. Hotspots of production can be observed across the North China Plain, Northeastern China and the Sichuan Basin. The Clean Water Act reduced manure nutrient losses to water by one third, but with limited changes to methane and ammonia emissions. Integrated production and consumption abatement measures costing approximately US$6 billion could further reduce livestock pollution by 2050, realizing benefits of up to US$30 billion due to avoided human health and ecosystem costs.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1038/s43016-022-00462-6
UKCEH and CEH Sections/Science Areas: Atmospheric Chemistry and Effects (Science Area 2017-)
ISSN: 2662-1355
Additional Keywords: agriculture, sustainability
NORA Subject Terms: Ecology and Environment
Health
Atmospheric Sciences
Date made live: 04 Apr 2022 14:10 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/532168

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...