Evidence map›Paper›PMID 40786124›Full record

ArticleEarth's future2024

The Critical Role of Hydrological Distance in Shaping Nutrient Dynamics Along the Watershed-Lake Continuum.

Jiacong Huang, George B Arhonditsis, Yinjun Zhang, Shuai Zhang, Yulai Ji, Hans W Paerl, Erik Jeppesen, Junfeng Gao

Abstract read
In one paragraph

Article in Earth's future, 2024. 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

8 authors.

Jiacong HuangKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.ORCID 0000-0003-4296-5823
George B ArhonditsisEcological Modelling Laboratory, Department of Physical & Environmental Sciences, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-5359-8737
Yinjun ZhangChina National Environmental Monitoring Centre, Beijing, China.
Shuai ZhangKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Yulai JiKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Hans W PaerlInstitute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, NC, USA.
Erik JeppesenDepartment of Bioscience, Aarhus University, Aarhus, Denmark.
Junfeng GaoKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.

Funding

The synergistic effects of climate and anthropogenic drivers on toxic cyanobacterial bloomsP01ES028939 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Gregory James Dick, David Joseph Kennedy · 2018 to 2026
$3.7M
NIEHS NIH HHS P01 ES028939
6 · The paper itself

Abstract

Terrestrial hydrological and nutrient cycles are subjected to major disturbances by agricultural operations and urbanization that profoundly influence freshwater resources. Non-point source pollution is one of the primary causes for water quality deterioration, and thus an emerging imperative in limnology is establishing empirical models that connect watershed attributes and hydrological drivers with lake nutrient dynamics. Here, we compiled three nation-wide nutrient, meteorological, and watershed-landscape data sets, to develop Generalized Linear Models that predict lake phosphorus and nitrogen concentrations as a function of the surrounding watershed characteristics within various hydrological distances across 104 Chinese lakes and reservoirs. Our national-scale investigation revealed that lake nutrient concentrations can be satisfactorily predicted by proxies of natural drivers and anthropogenic activities, reflecting the properties of the surrounding watershed. Counter to previous studies, we found that China's lake nutrient concentrations strongly depend on watershed characteristics within a hydrological distance of less than 45 km rather than the entire watershed. Furthermore, extensive human activities in watersheds not only compromise our predictive capacity, but also increase the hydrological distance that is relevant to predict lake nutrients. This national-scale characterization can inform one of the most contentious issues in the context of China's lake management, that is, the determination of the extent of the nearshore area, where nutrient control should be prioritized. As far as we know, our study represents the first attempt to apply the concept of hydrological distance and establish statistical models that can delineate the critical spatial domain primarily responsible for the nutrient conditions along the watershed-lake continuum.

Identifiers

PMID40786124
PMCPMC12333887

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.