Published December 5, 2022 | Version v1
Dataset Open

Data for: A hierarchical framework for unpacking the nitrogen challenge

  • 1. China Agricultural University
  • 2. Hainan University
  • 3. University of Maryland Center For Environmental Sciences
  • 4. University of Pennsylvania
  • 5. University of Sao Paulo
  • 6. New York University
  • 7. Michigan State University

Description

To feed the world population while mitigating pressing nitrogen (N) pollution problems, tremendous efforts have been devoted to developing and implementing N-efficient technologies in food production, but limited progress has been made. The N management improvement on a farm does not necessarily translate to N pollution reduction on a broader scale due to complex responses of natural and human systems and lack of coordination among stakeholders. Consequently, it is imperative to develop an N management framework that encompasses the complex N dynamics across systems and spatial scales, yet simple enough to guide policies and actions of various stakeholders. Here, we propose a new framework, CAFE, that defines four N management systems (Cropping, Animal-crop, Food, and Ecosystem) in a hierarchical manner, and apply it to 13 representative countries to partition N surpluses across systems in a simple and consistent manner, thereby facilitating the identification and prioritization of systems-based intervention strategies. Surprisingly, the Cropping system contributes less than half of the total N surplus within its Ecosystem for most countries, highlighting the importance of N management beyond croplands. As N surplus increases along the CAFE hierarchy, systems-based intervention strategies are revealed: coupling chemical fertilizers with other N sources by maintaining half of the N from manure and N bio-fixation; coupling animal-crop production by reducing animal density to lower than 1.2 livestock units, and increasing self-sufficiency of animal feed to above 50%; coupling food trade with domestic demand and production; and coupling population needs for economic opportunities with environmental capacity of the region.

Notes

Funding provided by: Ministry of Science and Technology of the People's Republic of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002855
Award Number: 2016YFD0201303

Funding provided by: Ministry of Science and Technology of the People's Republic of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002855
Award Number: 31421092

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: CNS-1739823

Funding provided by: National Socio-Environmental Synthesis Center
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100014262
Award Number:

Funding provided by: Ministry of Science and Technology of the People's Republic of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002855
Award Number: ZDKJ2021008

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