The scale identification associated with priority zone management of the Yangtze River Estuary.

Yang Hu, Ning He, Mingxuan Wu, Pengling Wu, Peimin He, Ying Yang, Qinyi Wang, Maoqiu Wang, Shubo Fang

Abstract read

In one paragraph

Article in Ambio, 2022. 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.

Yang HuCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Ning HeCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Mingxuan WuCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Pengling WuCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Peimin HeCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Ying YangEast China Sea Environmental Monitoring Center, SOA, Shanghai, 200137, China.

Qinyi WangCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Maoqiu WangCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

Shubo FangCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China. bsfang@shou.edu.cn.

Funding

National Basic Research Program of China (973 Program) 2017YFC0506002

6 · The paper itself

Abstract

Watershed and catchment area-based water quality management are important methods for comprehensive management of rivers and lakes. The impacts of land use/land cover (LULC) on river water quality vary with spatial scales, such as watersheds, catchments, and riparian zones. Achieving an effective spatial scale relationship between LULC and water quality, determining priority management areas, and reaching sustainable development of large estuarine deltas remain problematic. In this study, buffering analysis on the water quality data of the Yangtze River Estuary from 2009 to 2018 was conducted based on LULC, and the priority management areas of the basin were identified. Also, we infer that future river restoration or management efforts should focus on priority management area construction of a 1500 m riparian zone and a 150 km reach zone. Conclusively, establishing a priority management area within the effective buffer zone is key to watershed water quality management.

Indexed as

EstuariesRiversEnvironmental MonitoringLakesWater QualityBuffering analysisLand use/land coverPriority area managementRiparianTrace metal pollution

Identifiers

PMID35230659

DOI10.1007/s13280-021-01696-7

PMCPMC9110578

What OpenQuestion holds

Textmetadata

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Registered trials

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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.