Evidence map›Paper›PMID 42129191›Full record

ArticleScientific data2026

A Sampling-event Dataset from Aerial Surveys of Northern Eurasian Waterbirds, 2014-2024.

Jingpeng Cao, Fanjuan Meng, George Kirtaev, Diana Solovyeva, Valeriya Danilova, Natalya Rogova, Evgeniya Melikhova, Zheping Xu, Qingshan Zhao, Sonia B Rozenfeld

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. 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

10 authors.

Jingpeng Cao *State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
Fanjuan Meng *State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
George KirtaevSevertsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia.
Diana SolovyevaInstitute of Biological Problems of the North, Far-Eastern Branch, Russian Academy of Sciences, Magadan, Russia.
Valeriya DanilovaGoose, Swan, and Duck Study Group of Northern Eurasia, Moscow, Russia.
Natalya RogovaGoose, Swan, and Duck Study Group of Northern Eurasia, Moscow, Russia.
Evgeniya MelikhovaGoose, Swan, and Duck Study Group of Northern Eurasia, Moscow, Russia.
Zheping XuNational Science Library, Chinese Academy of Sciences, Beijing, China.
Qingshan ZhaoState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. qszhao@rcees.ac.cn.
Sonia B RozenfeldSevertsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia. rozenfeldbro@mail.ru.

Funding

National Science and Technology Major Project for Comprehensive Environmental Governance in the Beijing-Tianjin-Hebei Region, China No.2026ZD1208400
6 · The paper itself

Abstract

We present a comprehensive, decade-long (2014-2024) aerial survey dataset of northern Eurasian waterbirds, covering a broad northern Eurasian study area, with survey effort concentrated in the Russian Arctic and Subarctic. Surveys in a purpose-built light hydroplane covered 1,140,337 km of flight tracks across 67 administrative districts and a net, non-overlapping area of 1,918,845 km² (45.20-76.52°N, 35.49°E-180.00°E / 180.00°W-172.05°W). The dataset contains 97,638 georeferenced occurrence records, comprising 2 distinct survey components: marine (14%) and inland basin (86%) surveys. The 10 most abundant species (4 geese and 6 ducks) account for 76% of all individuals. Following spatial deduplication with survey-type grouping, the dataset encompasses 2,438,521 deduplicated individuals from 42 species in 19 genera, distributed as: marine surveys: 397,373 individuals (16%) from 34 species; basin surveys: 2,041,148 individuals (84%) from 42 species. These records provide a spatially explicit baseline for analyses of broad distribution patterns and conservation planning in surveyed regions of northern Eurasia.

Indexed as

DucksGeeseAnimalsArctic RegionsRussia

Identifiers

PMID42129191
PMCPMC13402325

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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.