Evidence map›Paper›PMID 39668385›Full record

ArticleJournal of environmental quality

A risk index tool to minimize the risk of nitrogen loss from land to water.

R W McDowell, V O Snow, R Tamepo, L Lilburne, R Cichota, K Muraoka, E Soal

Abstract read
In one paragraph

Article in Journal of environmental quality. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

R W McDowellFaculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand.ORCID https://orcid.org/0000-0003-3911-4825
V O SnowAgResearch, Lincoln Science Centre, Lincoln, New Zealand.ORCID https://orcid.org/0000-0002-6911-8184
R TamepoScion Research, Rotorua, New Zealand.ORCID https://orcid.org/0000-0002-6618-1487
L LilburneManaaki Whenua Landcare Research, Lincoln, New Zealand.
R CichotaPlant and Food Research, Lincoln, New Zealand.
K MuraokaMinistry for the Environment, Wellington, New Zealand.ORCID https://orcid.org/0000-0001-9086-0407
E SoalES Water Policy, Oamaru, New Zealand.

Funding

Ministry for the Environment, New ZealandOur Land and Water, National Science Challenge, New Zealand Ministry of Business, Innovation and Employment Contract C10 × 1507
6 · The paper itself

Abstract

Simple models can help reduce nitrogen (N) loss from land and protect water quality. However, the complexity of primary production systems may impair the accuracy of simple models. A tool was developed that assessed the risk of N loss as the product of N source inputs and relative transport by leaching and runoff. A dynamic process-based model was used to estimate the long-term monthly N loss risk by leaching and runoff in response to the interaction of static biophysical factors like soil type, slope, and long-term climate. Source inputs included dung and urine (from livestock), fertilizer, crop residues, and soil erosion. Estimates of the rank of N loss risk were related (r

Indexed as

NitrogenAgricultureEnvironmental MonitoringFertilizersSoilWaterWater Pollutants, ChemicalWater QualityFertilizersNitrogenSoilWaterWater Pollutants, Chemical

Identifiers

PMID39668385
PMCPMC11718142

What OpenQuestion holds

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LicenceCC BY
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.