Evidence map›Paper›PMID 41502794›Full record

ArticleNature reviews. Earth & environment2024

Nitrogen management during decarbonization.

Xin Zhang, Robert Sabo, Lorenzo Rosa, Hassan Niazi, Page Kyle, Jun Suk Byun, Yanyu Wang, Xiaoyuan Yan, Baojing Gu, Eric A Davidson

Abstract read
In one paragraph

Article in Nature reviews. Earth & environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xin ZhangAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, USA.
Robert SaboU.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, U.S. EPA, Washington, District of Columbia, USA.
Lorenzo RosaDepartment of Global Ecology, Carnegie Science, Stanford, CA, USA.
Hassan NiaziJoint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA.
Page KyleJoint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA.
Jun Suk ByunAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, USA.
Yanyu WangAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, USA.
Xiaoyuan YanState Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
Baojing GuCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Eric A DavidsonAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Decarbonization is crucial to combat climate change. However, some decarbonization strategies could profoundly impact the nitrogen cycle. In this Review, we explore the nitrogen requirements of five major decarbonization strategies to reveal the complex interconnections between the carbon and nitrogen cycles and identify opportunities to enhance their mutually sustainable management. Some decarbonization strategies require substantial new nitrogen production, potentially leading to increased nutrient pollution and exacerbation of eutrophication in aquatic systems. For example, the strategy of substituting 44% of fossil fuels used in marine shipping with ammonia-based fuels could reduce CO

Identifiers

PMID41502794
PMCPMC12774383

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.