Evidence map›Paper›PMID 37179379›Full record

ArticleScientific data2023

Watershed carbon yield derived from gauge observations and river network connectivity in the United States.

Han Qiu, Xuesong Zhang, Anni Yang, Kimberly P Wickland, Edward G Stets, Min Chen

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 4 institutions in 1 country.

Han QiuDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, 53706, USA. qhgogogo@gmail.com.ORCID 0000-0001-9962-2472
Xuesong ZhangUSDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, 20705-2350, USA. Xuesong.Zhang@usda.gov.ORCID 0000-0003-4711-7751
Anni YangDepartment of Geography and Environmental sustainability, University of Oklahoma, Norman, 73019, USA.
Kimberly P WicklandGeosciences and Environmental Change Science Center, U.S. Geological Survey, Lakewood, CO, 80303, USA.
Edward G StetsU.S. Geological Survey, Mounds View, MN, 55112, USA.
Min ChenDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, 53706, USA.
United States Geological Survey · USUniversity of Wisconsin–Madison · USAgricultural Research Service · USUniversity of Oklahoma · US

Funding

National Aeronautics and Space Administration (NASA) 18-CMS18-0052National Aeronautics and Space Administration (NASA) NNX17AE66G
6 · The paper itself

Abstract

River networks play a critical role in the global carbon cycle. Although global/continental scale riverine carbon cycle studies demonstrate the significance of rivers and streams for linking land and coastal regions, the lack of spatially distributed riverine carbon load data represents a gap for quantifying riverine carbon net gain or net loss in different regions, understanding mechanisms and factors that influence the riverine carbon cycle, and testing simulations of aquatic carbon cycle models at fine scales. Here, we (1) derive the riverine load of particulate organic carbon (POC) and dissolved organic carbon (DOC) for over 1,000 hydrologic stations across the Conterminous United States (CONUS) and (2) use the river network connectivity information for over 80,000 catchment units within the National Hydrography Dataset Plus (NHDPlus) to estimate riverine POC and DOC net gain or net loss for watersheds controlled between upstream-downstream hydrologic stations. The new riverine carbon load and watershed net gain/loss represent a unique contribution to support future studies for better understanding and quantification of riverine carbon cycles.

Identifiers

PMID37179379
PMCPMC10182987
OpenAlexW4376504312

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.