Biodiversity Data Journal : Data Paper (Biosciences)
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Data Paper (Biosciences)
Occurrence dataset from the waterbird survey of the middle and lower Huai He floodplain, China
expand article infoIromi Kusum Wijethunge‡,§, Jingpeng Cao, Fanjuan Meng, Zheping Xu|, Qingshan Zhao, Lei Cao‡,§
‡ State Key Laboratory of Regional and Urban Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
§ University of Chinese Academy of Sciences, Beijing, China
| National Science Library, Chinese Academy of Sciences, Beijing, China
Open Access

Abstract

Background

The Huai He floodplain in Anhui and Jiangsu Provinces, an important component of the East Asian-Australasian Flyway (EAAF), sustains critical wetland habitats for migratory waterbirds, including four threatened species on the IUCN Red List: critically endangered Aythya baeri (Radde, 1863), endangered Anser cygnoides (Linnaeus, 1758) and vulnerable Melanitta fusca (Linnaeus, 1758) and Aythya ferina (Linnaeus, 1758). Despite its biogeographic significance as a transitional zone between the Yangtze and Yellow River floodplains, this region remains one of China's most understudied and ecologically degraded freshwater systems. Historical pollution events and contemporary anthropogenic pressures – agricultural intensification, hydrological fragmentation and invasive species - have severely compromised wetland integrity. During mid-December 2005 and November to December 2006, standardised surveys employed fixed-radius point counts (158 sites) with the component counting method to enhance accuracy.

New information

We present the first comprehensive waterbird dataset for the Anhui and Jiangsu part of the Huai He floodplain, comprising 44 species (32,517 individuals) recorded across 30 wetlands during 2005–2006 surveys. All occurrence data adhere to Darwin Core standards and are accessible via the Global Biodiversity Information Facility, providing spatial-temporal baselines for abundance and distributional data for waterbirds in this region.

Keywords

Sampling-event datasets, synchronous winter waterbird census, wetland

Introduction

The Huai He River Basin is one of the seven major river systems in China (Zhai et al. 2014). It lies about midway between the Yangtze and Yellow Rivers and flows in a west-east direction through Henan, Anhui and Jiangsu Provinces (He et al. 2010). It discharges into the Yangtze River after passing southwards through Hongze Hu and Gaoyou Hu (He et al. 2010). The river is 1,078 km long and has a catchment area of 174,000 km2 (He et al. 2010).

The Huai He River Basin is one of the most densely populated and heavily developed regions in China, characterised by an extensive network of water-related projects (Zhai et al. 2014). It also suffers from severe pollution. As the first large-scale initiative for pollution control in China, the Huai He River Pollution Control Project was launched in 1994, setting the ambitious goal of restoring the river’s water quality by the end of the 20th century (Zhai et al. 2014). Although some progress was made, such as shutting down heavily polluting factories and upgrading sewage treatment infrastructure, the overall objective was not achieved by 2000 (Zhai et al. 2014). The situation further deteriorated with several acute pollution incidents in 2004, which drew international attention and highlighted the ineffectiveness of earlier efforts (Zhai et al. 2014). Due to the Basin's complex natural characteristics and intense human activity, pollution control remains an enormous challenge (Zhai et al. 2014). Water pollution in the region is exceptionally severe, leading to devastating impacts on the aquatic environment and local ecosystems (Zhai et al. 2014). Until 2013-2019, the water quality did not seem to be improving (Wang et al. 2023).

Historically, the Huai He River Basin has supported a large number of waterbirds (Cao et al. 2010). Its significance has diminished, likely because widespread control of water levels restricts habitat availability for Anatidae. In addition, pollution has severely degraded water quality, rendering it unsuitable for irrigation, industrial use or as waterbird habitat (Cao et al. 2010). Despite the presence of expansive wetlands, only a small portion – approximately 3% – of the Huai He River floodplain provided suitable habitat for Anatidae in 2005 (Cao et al. 2010).

Here, we present winter survey data collected in 2005 and 2006. The Anatidae data were reported as part of east China Anatidae population estimates and the Huai He River was not considered separately (Cao et al. 2008, Cao et al. 2010). More recent studies have reported on the entire Huai He River Basin (from December 2023 to February 2024; Li et al. (2025)) and for the Anhui section of the basin during January 2023 (Liu et al. 2024). Although the absence of detailed distribution and abundance data limits more nuanced comparisons, the overall quick comparison suggests that, while the number of species has increased, total abundance has remained stable (Liu et al. 2024). We hope that making these detailed public data available will support long-term, standardised monitoring of waterbirds in the Huai He River Basin and serve as a historical baseline for future research and comparative studies.

General description

Purpose: 

Publicly Available Occurrence Dataset from the 2005–2006 Waterbird Survey on the Middle and Lower Huai He Floodplain, China (Wijethunge et al. 2025).

Sampling methods

Description: 

The area surveyed consists of the lakes and reservoirs shown within Anhui and Jiangsu Provinces, extending over a distance of about 200 km upstream of Hongze Hu. All the lakes visited are connected by channels or rivers to the Huai He.

Sampling description: 

The waterbird species to be counted during the survey were defined according to Waterbird Population Estimates 5th Edition (Mundkur and Nagy 2012), which is the document used by the Ramsar Convention for identifying wetlands containing internationally important concentrations of waterbirds.

Quality control: 

Observers generally underestimate the numbers of waterbirds present when counting large flocks (Rappoldt et al. 1985). Underestimation is also compounded by the common problem of missing birds when counting over large wetland areas.

As very large concentrations of waterbirds were not encountered during this survey, it is believed that count accuracy (identification of species and numbers) was good. It is also believed that few birds were missed at the individual count sites.

Step description: 

The count was conducted by one team of two experienced counters, each using Zeiss 10 ✕ 42 Victory roof prism binoculars and Leica Televid 77 telescopes with 20–60 ✕ zoom eyepieces.

We employed a three‑tiered approach for count site selection: first, we used geo‑referenced satellite imagery to pinpoint lakes and other wetlands and loaded the coordinates into GPS units; second, we consulted personnel from the local forestry bureau and other knowledgeable locals to identify areas of high waterbird concentration and sited count points so as to cover as much of each wetland as possible; third, we selected wetland‑margin locations accessible by vehicle, hiring local transport or walking where necessary to minimise logistical difficulties. Upon arrival at each approximate location, we chose unobstructed vantage points with the sun behind us and, when wind conditions allowed, positioned ourselves downwind to stabilise monocular observations. In normal visibility, sites were spaced at roughly 3–4 km intervals (within the 2-3 km identification range), but brought nearer together under poor visibility.

On all mornings, we aimed to arrive at the first count site at about 07:00 h when it was just light enough to see birds. We were able to survey through to about 17:30 h, before it got too dark to see.

The ease with which we were able to reach wetland shores varied between lakes. In some cases, there were dykes or roads around the wetland that allowed good views of potential waterbird habitat to be obtained, whilst the shorelines of other wetlands were difficult to reach, which seriously limited our ability to adequately cover these in the available time.

Geographic coverage

Description: 

The middle and lower Huai He floodplain, in Anhui and Jiangsu Provinces, China (Fig. 1). We conducted surveys at 158 sites across 30 lakes and reservoirs in the middle and lower Huai He River floodplain, Anhui and Jiangsu Provinces, China.

Figure 1.  

Geographic distribution of survey site.

Coordinates: 

32.2 and 33.7 Latitude; 116.2 and 119.5 Longitude.

Taxonomic coverage

Description: 

During the two-year sequential survey (2005–2006), 44 avian species were documented across both sampling periods. Annual census data revealed 40 species each year, comprising 15,498 individuals in 2005 and 20,445 individuals in 2006.

Taxa included:
Rank Scientific Name
species Aythya baeri (Radde, 1863)
species Anas formosa Georgi, 1775
species Anser fabalis (Latham, 1787)
species Nycticorax nycticorax (Linnaeus, 1758)
species Larus ridibundus Linnaeus, 1766
species Fulica atra Linnaeus, 1758
species Bucephala clangula (Linnaeus, 1758)
species Tringa nebularia (Gunnerus, 1767)
species Gallinula chloropus (Linnaeus, 1758)
species Aythya ferina (Linnaeus, 1758)
species Actitis hypoleucos (Linnaeus, 1758)
species Gallinago gallinago (Linnaeus, 1758)
species Anas crecca Linnaeus, 1758
species Pelecanus crispus Bruch, 1832
species Calidris alpina (Linnaeus, 1758)
species Casmerodius albus (Linnaeus, 1758)
species Botaurus stellaris (Linnaeus, 1758)
species Platalea leucorodia Linnaeus, 1758
species Anas penelope Linnaeus, 1758
species Anas falcata Georgi, 1775
species Anas strepera Linnaeus, 1758
species Mergus merganser Linnaeus, 1758
species Podiceps cristatus (Linnaeus, 1758)
species Phalacrocorax carbo (Linnaeus, 1758)
species Aythya marila (Linnaeus, 1761)
species Anser albifrons (Scopoli, 1769)
species Tringa ochropus Linnaeus, 1758
species Ardea cinerea Linnaeus, 1758
species Larus argentatus Pontoppidan, 1763
species Charadrius alexandrinus Linnaeus, 1758
species Egretta garzetta (Linnaeus, 1766)
species Tachybaptus ruficollis (Pallas, 1764)
species Charadrius placidus J.E.Gray & G.R.Gray, 1863
species Anas platyrhynchos Linnaeus, 1758
species Aix galericulata (Linnaeus, 1758)
species Vanellus vanellus (Linnaeus, 1758)
species Anas clypeata Linnaeus, 1758
species Recurvirostra avosetta Linnaeus, 1758
species Tadorna ferruginea (Pallas, 1764)
species Mergellus albellus (Linnaeus, 1758)
species Anas zonorhyncha Swinhoe, 1866
species Tringa erythropus (Pallas, 1764)
species Anser cygnoides (Linnaeus, 1758)
species Melanitta fusca (Linnaeus, 1758)

Temporal coverage

Data range: 
2005-12-09 - 2005-12-15; 2006-11-27 - 2006-12-13.

Usage licence

Usage licence: 
Other
IP rights notes: 

Creative Commons Attribution Non-Commercial (CC-BY-NC) 4.0 Licence

Data resources

Data package title: 
Occurrence dataset from the waterbird survey of the middle and lower Huai He floodplain, China
Number of data sets: 
1
Data set name: 
Occurrence dataset from the waterbird survey of the middle and lower Huai He floodplain, China
Data format: 
Darwin Core Event
Description: 

This dataset originates from the wintering waterbird survey of the middle and lower Huai He floodplain (Anhui and Jiangsu), China, during 2005–2006 (Wijethunge et al. 2025). It contains detailed species, abundance and geographical information.

Column label Column description
eventID An identifier for the broader dwc:Event that groups this and potentially other dwc:Events.
parentEventID An identifier for the broader dwc:Event that groups this and potentially other dwc:Events.
samplingProtocol The names of, references to, or descriptions of the methods or protocols used during a dwc:Event.
sampleSizeValue A numeric value for a measurement of the size (time duration, length, area or volume) of a sample in a sampling dwc:Event.
sampleSizeUnit The unit of measurement of the size (time duration, length, area or volume) of a sample in a sampling dwc:Event.
samplingEffort The amount of effort expended during a dwc:Event.
eventDate The date-time or interval during which a dwc:Event occurred.
continent The name of the continent in which the dcterms:Location occurs.
country The name of the country or major administrative unit in which the dcterms:Location occurs.
countryCode The standard code for the country in which the dcterms:Location occurs.
stateProvince The name of the next smaller administrative region than country (state, province, canton, department, region etc.) in which the dcterms:Location occurs.
county The full, unabbreviated name of the next smaller administrative region than stateProvince (county, shire, department etc.) in which the dcterms:Location occurs.
locality The specific description of the place.
decimalLatitude The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic centre of a dcterms:Location.
decimalLongitude The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic centre of a dcterms:Location.
geodeticDatum The ellipsoid, geodetic datum or spatial reference system (SRS) upon which the geographic coordinates given in dwc:decimalLatitude and dwc:decimalLongitude are based.
coordinateUncertaintyInMetres The horizontal distance (in metres) from the given dwc:decimalLatitude and dwc:decimalLongitude describing the smallest circle containing the whole of the dcterms:Location.
basisOfRecord The specific nature of the data record.
dynamicProperties A list of additional measurements, facts, characteristics or assertions about the record. Meant to provide a mechanism for structured content.
occurrenceID An identifier for the dwc:Occurrence (as opposed to a particular digital record of the dwc:Occurrence).
individualCount The number of individuals present at the time of the dwc:Occurrence.
organismQuantity A number or enumeration value for the quantity of dwc:Organisms.
organismQuantityType The type of quantification system used for the quantity of dwc:Organisms.
occurrenceStatus A statement about the presence or absence of a dwc:Taxon at a dcterms:Location.
occurrenceRemarks Comments or notes about the dwc:Occurrence.
scientificName The full scientific name, with authorship and date information if known.
kingdom The full scientific name of the kingdom in which the dwc:Taxon is classified.
phylum The full scientific name of the phylum or division in which the dwc:Taxon is classified.
class The full scientific name of the class in which the dwc:Taxon is classified.
order The full scientific name of the order in which the dwc:Taxon is classified.
family The full scientific name of the family in which the dwc:Taxon is classified.
genus The full scientific name of the genus in which the dwc:Taxon is classified.
taxonRank The taxonomic rank of the most specific name in the dwc:scientificName.

Acknowledgements

We gratefully acknowledge the contribution of field survey teams for the fieldwork, especially Mark Barter and Xin Wang. The work was supported by the Ministry of Science and Technology of China, The National Key Research and Development Program [grant number 2022YFF1301401] and the China Biodiversity Observation Networks (Sino BON).

References

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