Evidence map›Paper›PMID 39583215›Full record

ArticleF1000Research2024

Using the R Package,

Dorothy Q Kellogg, Jeffrey W Hollister, Chester L Arnold, Arthur J Gold, Emily H Wilson, Cary B Chadwick, David W Dickson, Qian Lei-Parent, Kenneth J Forshay

Abstract read
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Dorothy Q KelloggDepartment of Natural Resources Science, University of Rhode Island, Kingston, Rhode Island, 02881, USA.ORCID https://orcid.org/0000-0002-9509-4606
Jeffrey W HollisterOffice of Research and Development, Atlantic Coastal Environmental Sciences Division, US Environmental Protection Agency, Narragansett, RI, 02882, USA.ORCID https://orcid.org/0000-0002-9254-9740
Chester L ArnoldCenter for Land Use Education and Research, University of Connecticut, Haddam, Connecticut, 06438, USA.
Arthur J GoldDepartment of Natural Resources Science, University of Rhode Island, Kingston, Rhode Island, 02881, USA.
Emily H WilsonCenter for Land Use Education and Research, University of Connecticut, Haddam, Connecticut, 06438, USA.
Cary B ChadwickCenter for Land Use Education and Research, University of Connecticut, Haddam, Connecticut, 06438, USA.
David W DicksonCenter for Land Use Education and Research, University of Connecticut, Haddam, Connecticut, 06438, USA.ORCID https://orcid.org/0000-0002-2660-6460
Qian Lei-ParentCenter for Land Use Education and Research, University of Connecticut, Haddam, Connecticut, 06438, USA.
Kenneth J ForshayOffice of Research and Development, Groundwater Characterization and Remediation Division, US Environmental Protection Agency, Ada, OK, 74820, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Excess nitrogen (N) loading to coastal ecosystems impairs estuarine water quality. Land management decisions made within estuarine watersheds have a direct impact on downstream N delivery. Natural features within watersheds can act as landscape sinks for N, such as wetlands, streams and ponds that transform dissolved N into gaseous N, effectively removing it from the aquatic system. Identifying and evaluating these landscape sinks and their spatial relationship to N sources can help managers understand the effects of alternative decisions on downstream resources. Methods: The N-Sink approach uses widely available GIS data to identify landscape sinks within HUC-12 (or larger) catchments, estimate their N removal potential and map the effect of those sinks on N movement through the catchment. Static maps are produced to visualize N removal efficiency, transport and delivery, the latter in the form of an index. The R package Results: Conclusions: N-Sink is a decision support tool created for local decision-makers and NGOs to facilitate better understanding of the relationship between land use and downstream N delivery. Local decision-makers that have prioritized N mitigation in their long-term planning can use

Indexed as

NitrogenEcosystemEnvironmental MonitoringGeographic Information SystemsSoftwareNitrogencatchmentGISlandscape N sinkNitrogennsinkRwater resourceswatershed

Identifiers

PMID39583215
PMCPMC11582390

What OpenQuestion holds

Textmetadata
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.