Monitoring Dataset on Waterbirds in the
Qinghai Lake Basin (2019)
Zhang, N. N.1,2,3 Sun, J. Q.4 Wang, X. Y.1,2,3 Qi, D. S.2,3,5 Chen,
K. L.1,2,3* Yang, S. D.4 Wei, Q. C.4
1. College of Geography,
Qinghai Normal University, Xining 810008, China;
2. Key Laboratory of
Physical Geography and Environmental Process of Qinghai Province, Qinghai
Normal University, Xining 810008, China;
3. Key Laboratory of Surface
Process and Ecological Conservation of the Qinghai-Tibet Plateau, Ministry of
Education, Xining 810008, China;
4. Qinghaihu National
Natural Reserve, Forestry Administration of Qinghai Province, Xining 810007,
China;
5. College of Life Sciences,
Qinghai Normal University, Xining 810008, China
Abstract: The Qinghai Lake Basin is
an important natural geographical area in the northeastern part of the
Qinghai?CTibet Plateau and a crucial component of Qinghai Province??s ??Two
Shields and Three Zones?? ecological security pattern. The basin boasts rich
biodiversity, serving as the gene pool for species on the Qinghai?CTibet Plateau
and a typical area of the plateau??s ecosystem. In 2019, waterbird monitoring
was conducted at 27 sites and 33 points within the basin. This dataset included
recording information such as habitat types at the waterbird sites, unified
disturbance types, and the distribution of migratory waterbirds in different
seasons. The dataset includes: (1) the time frequency of water birds
monitoring, and an overview of the sampling sites (including the GIS data); (2)
the composition and spatiotemporal distribution of various water bird species;
(3) the dynamic changes in water bird population numbers; (4) the diverse
distribution of water bird migrations in different seasons; (5) number of four
major breeding water bird clusters during 2015-2019. The dataset is archived in
.xlsx and .shp formats, and consists of 8 data files with data size of 60.9 KB
(Compressed into one file with 51.6 KB).
Keywords:
Qinghai Lake Basin; Qinghai?CTibet Plateau; waterfowl monitoring; 2019
DOI: https://doi.org/10.3974/geodp.2024.02.02
CSTR: https://cstr.escience.org.cn/CSTR:20146.14.2024.02.02
Dataset Availability Statement:
The dataset supporting this paper
was published and is accessible through the Digital Journal of Global Change Data Repository
at: https://doi.org/10.3974/geodb.2024.04.01.V1
or https://cstr.escience.org.cn/CSTR:20146.11.2024.04.01.V1.
1 Introduction
Biodiversity monitoring aims
to provide information on the spatial and temporal changes in biodiversity,
thereby assessing the effectiveness of ecological protection[1]. As top-level consumers in wetland ecosystems, birds cannot
exist independently of lower trophic level organisms and the inorganic
environment[2]. As a unique group of higher
organisms existing in wetlands, waterbirds are important indicators for
assessing changes in wetland quality[3, 4]. Waterbird monitoring,
through predetermined spatial and temporal plans, records specific information
on waterbird species, numbers, behavior, and habitats[5, 6].
The Qinghai Lake Basin, located on the eastern edge of
the Qinghai?CTibet Plateau, is an enclosed and independent basin that connects
the eastern, western, and southern regions of Qinghai Province. It plays a
crucial role in preventing eastward invasion by western deserts, and is an
important part of the ecological security barrier of the Qinghai?CTibet Plateau[7,
8]. The Qinghai Lake National Nature Reserve is located at
the intersection of the Central Asian and East Asian migratory routes for
waterbirds, and boasts the largest wetland area in the country[9].
The dataset utilized in this study was derived from years of waterbird
monitoring data collected by the Qinghai Lake Nature Reserve Administration
Bureau[10]. The monitoring period spanned the period from March 2019
to February 2020, with a total of nine monitoring sessions. Through these
monitoring efforts, data on the number, dynamics, distribution, and structure
of waterbird populations were collected and compiled into the QinghaiLakeWaterfowl2019[11].
2 Metadata of
the Dataset
The
metadata of the Monitoring dataset on waterbirds in Qinghai Lake Basin (2019)[11]
is summarized in Table 1. It includes the dataset full name, short name,
authors, year of the dataset, data format, data size, data files, data
publisher, and data sharing policy, etc.
3 Methods
In the waterbird monitoring
work, the original sites and points were renumbered and renamed, and
place-names were standardized according to administrative divisions. Ten
habitat types were uniformly determined, and the methods for recording disturbance
types and intensities were standardized. Based on the unique characteristics of
waterbird distribution in Qinghai Lake, the area around the lake was divided
into 27 waterbird monitoring sites, comprising a total of 33 monitoring points
(Figure 1). Among these sites, the Shadao area included three monitoring
points: Reed Lake, Sun Lake, and Crescent Lake. The Ganzihe Wetland comprised
four monitoring points: Xiao Dalian, Cao Dalian, Orchid Lake, and the Ganzihe Estuary. The Buha Estuary area had two monitoring
points: Buha Estuary and Buha River Bay. Based on the spatiotemporal
distribution characteristics of waterbirds in Qinghai Lake (the habitat
utilization), the habitats at the monitoring points were categorized into five
types: migratory stopover sites, non-colonial breeding sites, wintering sites,
foraging sites, and colonial breeding nesting sites. According to habitat
types, they were divided into ten types: estuarine wetlands, swamp meadows,
agricultural land, sub-lakes, freshwater lakes, river wetlands, lakeside salt
marshes, river manzanita, peninsulas, and islands. According to the functional
zoning of the reserve, they were divided into five types: core area, buffer
area, experimental area, outside the reserve, and the junction of the experimental
area and the reserve. Based on disturbance types and intensities, they were
classified into four types and three intensity levels: grazing, tourism,
bird-watching photography, no disturbance, and weak, medium, and strong
disturbance, respectively. The administrative divisions of the waterbird
monitoring points were specified down to the township level.
Table 1 Metadata summary of the monitoring dataset
on waterbirds in Qinghai Lake Basin (2019)
Item
|
Description
|
Dataset full name
|
Monitoring dataset on waterbirds in Qinghai Lake Basin (2019)
|
Dataset short
name
|
QinghaiLakeWaterfowl2019
|
Authors
|
Zhang, N. N.,
Qinghai Normal University, zhangnana2021@yeah.net;
Sun, J. Q.,
Qinghai Lake National Nature Reserve Administration, sunjq@163.com;
Wang, X. Y.,
Qinghai Normal University, 245003744@qq.com;
Qi, D. S.,
Qinghai Normal University, 2964694441@qq.com;
Chen, K. L.,
Qinghai Normal University, ckl7813@163.com;
Yang, S. D.,
Qinghai Lake National Nature Reserve Administration, 2402236852@qq.com
Wei, Q. C., Qinghai
Lake National Nature Reserve Administration, 350568066@qq.com
|
Geographical
region
|
Qinghai Lake
Basin
|
Year
|
March 2019 to
February 2020
|
Data format
|
.shp, .xlsx
|
Data size
|
60.9 KB (51.6 KB
after compression)
|
Data files
|
Overview of
monitoring sites, composition of various waterbird species, spatiotemporal
distribution, dynamic changes in waterbird populations, and diversity
distribution of waterbirds in different periods. The dataset consists of 8 files
|
Foundations
|
Ministry of
Science and Technology of P. R. China (2019ZQKK0405); National Natural
Science Foundation of China (41661023); Qinghai Province (2020-ZJ-Y06)
|
Data publisher
|
Global Change Research Data Publishing & Repository,
http://www.geodoi.ac.cn
|
Address
|
No.
11A, Datun Road, Chaoyang District, Beijing 100101, China
|
Data sharing
policy
|
(1) Data are openly available and can be free
downloaded via the Internet; (2) End users are encouraged to use Data subject to citation; (3) Users,
who are by definition also value-added service providers, are welcome to
redistribute Data subject to
written permission from the GCdataPR Editorial Office and the issuance of a Data redistribution license; and (4) If
Data are used to compile new
datasets, the ??ten per cent principal?? should be followed such that Data records utilized should not surpass
10% of the new dataset contents, while sources should be clearly noted in
suitable places in the new dataset[12]
|
Communication and searchable system
|
DOI, CSTR, Crossref, DCI, CSCD, CNKI,
SciEngine, WDS, GEOSS, PubScholar, CKRSC
|
Figure 1 Map of waterbird monitoring
sample points in the Qinghai Lake Basin in 2019
4 Data Results and Validation
4.1 Dataset Composition
This dataset, through waterbird monitoring,
captures information on population numbers, dynamics, distribution, and
structure. The dataset is archived in .shp and.xlsx formats, consisting of two
data files, with a total data size of 60.9 KB (compressed into 1 file,
51.6 KB).
4.2 Data Results
In 2019, monitoring recorded 61 species of
birds across six orders and 14 families (Table 2). Of these, three were species
from one family in the order Ciconiiformes, one species from one family in the
order Pelecaniformes, eight species from three families in the order Storks,
three species from two families in the order Ornithales, 19 species from one
family in the order Anseriformes, and 27 species from six families in the order
Plovers.
Table 2 Composition of waterbird
species observed in Qinghai Lake Basin in 2019
Order
|
Family
|
Species
|
Ciconiiformes
|
Pediatrics
|
3
|
Pelecaniformes
|
Phalacrocoracidae
|
1
|
Storks
|
Ciconiidae
|
1
|
Ardeidae
|
6
|
Threskiornithidae
|
1
|
Ornithales
|
Gruidae
|
2
|
Rallidae
|
1
|
Anseriformes
|
Anatidae
|
19
|
Plovers
|
Charadriidae
|
6
|
Recurvirostridae
|
2
|
Scolopacidae
|
13
|
Laridae
|
2
|
Glareolidae
|
1
|
Sternidae
|
3
|
Total 6 Orders
|
14 Families
|
61 Species
|
The
waterbird monitoring in 2019 indicated that the Heima River Wetland,
Daotang River Wetland, Erhai Lake, Quanwan Wetland, and Jiangxi Gully habitats
experienced significant disturbances, primarily from tourism, bird-watching
photography, and transportation. Important waterbird habitats such as Daotang
River Wetland, Ha Da Beach, and Jiangxi Gully had not yet been included in the
protected area. In 2019, the number of waterbirds in Qinghai Lake was 196,000,
a decrease of nearly 55,000 compared to 2018. Over the past five years, the variation
of waterbird population in Qinghai Lake is shown in Table 3.
Table 3 Dynamics in waterbird
populations in the Qinghai Lake Basin from 2015 to 2019
Year
|
March
|
April
|
May
|
June
|
July
|
September
|
October
|
December
|
February (following year)
|
Spring migration
period
|
Summer breeding period
|
Autumn migration
period
|
Wintering period
|
2019
|
17,277
|
31,351
|
34,475
|
23,348
|
37,751
|
84,076
|
143,499
|
4,622
|
165
|
|
2018
|
16,695
|
20,203
|
46,332
|
45,001
|
23,961
|
31,514
|
57,792
|
8,582
|
1,178
|
|
2017
|
38,157
|
24,289
|
26,731
|
51,781
|
38,638
|
42,931
|
100,969
|
6,232
|
6,731
|
|
2016
|
25,350
|
41,673
|
27,107
|
35,751
|
18,196
|
55,176
|
43,832
|
3,245
|
21,177
|
|
2015
|
23,666
|
65,375
|
48,859
|
50,019
|
35,413
|
26,383
|
110,496
|
2,945
|
1,438
|
|
As listed at the Table 4, during the
spring migration period of 2019, a total of 16 key waterbird habitats were
identified, including Ganzihe Wetland, Ha Da Beach, Cormorant Island, Naren
Wetland, Erhai Lake, Paerqiong Wetland, Egg Island, Quanwan Wetland, Jiangxi
Gully, Daotang River Wetland, Heima River Wetland, Nuraogeta Estuary, Quanji
Estuary, Qieji Estuary, Naishiji Wetland, and Erlangjian. These habitats
encompassed nine types of environments: freshwater lakes, river manzanita,
herbaceous swamp, lakeshore peninsulas, estuarine wetlands, agricultural land,
freshwater river, sub-lakes, and lakeshore wetlands.
Table 4 Spring migration of
waterbirds in the Qinghai Lake Basin in 2019
Number
|
Location
|
Number of individuals
|
Number of species
|
Habitat type
|
1
|
Ganzihe Wetland
|
1,388
|
30
|
Freshwater lake
|
2
|
Ha Da Beach
|
3,922
|
18
|
River manzanita
|
3
|
Naren Wetland
|
1,860
|
29
|
Herbaceous swamp
|
4
|
Cormorant Island
|
1,670
|
2
|
Lakeshore peninsula
|
5
|
Egg Island
|
2,981
|
7
|
Lakeshore peninsula
|
6
|
Erhai Lake
|
2,169
|
18
|
Freshwater lake
|
7
|
Paerqiong Wetland
|
1,192
|
23
|
Estuarine wetlands
|
8
|
Quanwan Wetland
|
6,756
|
9
|
Estuarine wetlands
|
9
|
Jiangxi Gully
|
1,060
|
4
|
Agricultural land
|
10
|
Daotang River Wetland
|
1,591
|
18
|
Freshwater river
|
11
|
Heima River Wetland
|
1,255
|
12
|
Herbaceous swamp
|
12
|
Nuraogeta Estuary
|
1,081
|
16
|
Estuarine wetlands
|
13
|
Quanji Estuary
|
1,000
|
15
|
Herbaceous swamp
|
14
|
Qieji Estuary
|
2,114
|
3
|
Estuarine wetlands
|
15
|
Naishiji Wetland
|
1,722
|
4
|
Sub-lake
|
16
|
Erlangjian
|
1,705
|
8
|
Lakeshore wetlands
|
As listed at the Table 5, during the summer
breeding period, a total of 13 major waterbird habitats were identified,
including Cormorant Island, Egg Island, Buha Estuary, Ha Da Beach, Quanwan
Wetland, Heima River Wetland, Shaliuhe Estuary, Naren Wetland, Haergai River
Estuary, Sankuai Shi, Haixin Mountain, Qieji Estuary, and Paerqiong Wetland. These
habitats included five different habitat types: lakeshore peninsula, estuarine
wetlands, herbaceous swamp, river manzanita, and islands in the lake.
Table 5 Summer breeding of
waterbirds in the Qinghai Lake Basin in 2019
Number
|
Location
|
Number of individuals
|
Number of species
|
Habitat type
|
1
|
Cormorant Island
|
3,966
|
12
|
Lakeshore peninsula
|
2
|
Egg Island
|
2,837
|
13
|
Lakeshore peninsula
|
3
|
Buha Estuary
|
3,137
|
14
|
Estuarine wetlands
|
4
|
Ha Da Beach
|
2,836
|
23
|
River manzanita
|
5
|
Quanwan Wetland
|
12,587
|
14
|
Herbaceous swamp
|
6
|
Heima River Wetland
|
1,964
|
9
|
Herbaceous swamp
|
7
|
Qieji Estuary
|
2,694
|
8
|
Estuarine wetlands
|
8
|
Shaliu Estuary
|
2,486
|
15
|
Estuarine wetlands
|
9
|
Naren Wetland
|
4,153
|
24
|
Herbaceous swamp
|
10
|
Haergai River Estuary
|
2,081
|
8
|
Estuarine wetlands
|
11
|
San Kuai Shi
|
14,800
|
3
|
Island in the Lake
|
12
|
Haixin Mountain
|
1,389
|
4
|
Island in the Lake
|
13
|
Paerqiong Wetland
|
2,390
|
10
|
Estuarine wetlands
|
As listed at the Table 6, during the fall
migration period, a total of 17 major waterbird habitats were identified. These
habitats included Egg Island, Cormorant Island, Paerqiong Wetland, Qieji Estuary,
Ha Da Beach, Quanwan Wetland, Heima River Wetland, Daotang River Wetland, Erhai
Lake, Jiangxi Gully, Naishiji Wetland, Naren Wetland, Garila Wetland, Xiannv
Wan Wetland, Wuha Alanchu Estuary, Ganzihe Estuary, and Shaliuhe Estuary. They included
eight habitat types: herbaceous swamp, lakeshore peninsula, freshwater
river, estuarine wetlands, river manzanita, freshwater lake, agricultural land, and sub-lake.
Table 6 Fall migration of waterbirds in the
Qinghai Lake Basin in 2019
Number
|
Location
|
Number of individuals
|
Number of species
|
Habitat type
|
1
|
Egg Island
|
5,518
|
111
|
Lakeshore
peninsula
|
2
|
Cormorant Island
|
2,806
|
8
|
Lakeshore
peninsula
|
3
|
Shaliuhe Estuary
|
1,411
|
10
|
Estuarine wetlands
|
4
|
Paerqiong Wetland
|
1,478
|
13
|
Estuarine wetlands
|
5
|
Qieji Estuary
|
16,847
|
16
|
Estuarine wetlands
|
6
|
Ha Da Beach
|
6,512
|
17
|
River manzanita
|
7
|
Quanwan Wetland
|
30,708
|
16
|
Herbaceous swamp
|
8
|
Heima River Wetland
|
3,712
|
7
|
Herbaceous swamp
|
9
|
Daotang River Wetland
|
3,073
|
14
|
Freshwater river
|
10
|
Erhai Lake
|
22,226
|
17
|
Freshwater lake
|
11
|
Jiangxi Gully
|
2,994
|
7
|
Agricultural land
|
12
|
Naishiji Wetland
|
42,086
|
13
|
Sub-lake
|
13
|
Naren Wetland
|
7,329
|
20
|
Herbaceous swamp
|
14
|
Garila Wetland
|
2,897
|
10
|
Herbaceous swamp
|
15
|
Xiannv Wan Wetland
|
1,756
|
12
|
Herbaceous swamp
|
16
|
Wuha Alanchu Estuary
|
1,681
|
13
|
Estuarine wetlands
|
17
|
Ganzihe Estuary
|
1,491
|
21
|
Herbaceous swamp
|
From Table 7, it can be seen that the key
wintering habitats for waterbirds included Jiangxi Gully, Egg Island, Qieji
Estuary, Ganzihe Wetland, Quanwan Wetland, Garila Wetland, Xiaobo Lake,
Cormorant Island, Naren Wetland, Xiannv Wan Wetland, Buha Estuary, and Haergai
River Estuary, making up a total of 12 locations. During the wintering period,
these 12 major waterbird habitats included five types of environments:
agricultural land, lakeshore peninsula, estuarine wetlands, swamp
meadow, and herbaceous swamp.
Table 7 Wintering staying of waterbirds in the
Qinghai Lake Basin in 2019
Number
|
Location
|
Number of Individuals
|
Number of Species
|
Habitat Type
|
1
|
Jiangxi Gully
|
540
|
1
|
Agricultural land
|
2
|
Egg Island
|
110
|
3
|
Lakeshore peninsula
|
3
|
Qieji Estuary
|
273
|
2
|
Estuarine wetlands
|
4
|
Ganzihe Wetland
|
233
|
3
|
Estuarine wetlands
|
5
|
Quanwan Wetland
|
247
|
4
|
Swamp meadow
|
6
|
Garila Wetland
|
9
|
1
|
Swamp meadow
|
7
|
Xiaobo Lake
|
20
|
1
|
Swamp meadow
|
8
|
Cormorant Island
|
3,020
|
5
|
Lakeshore peninsula
|
9
|
Naren Wetland
|
133
|
5
|
Herbaceous swamp
|
10
|
Xiannv Wan Wetland
|
116
|
2
|
Herbaceous swamp
|
11
|
Buha Estuary
|
59
|
2
|
Lakeshore peninsula
|
12
|
Haergai River Estuary
|
5
|
1
|
Estuarine wetlands
|
5 Discussion and Conclusion
To address the issue of declining waterbird
populations, team members strengthened patrol and monitoring efforts to
understand real-time changes and the distribution of waterbirds. Additionally,
they actively launched wetland protection and restoration projects,
implementing ecological restoration within protected areas to help maintain the
overall population stability of waterbirds in the Qinghai Lake Basin. In
response to the impact of ecological environmental changes on waterbird habitats,
efforts are being made to restore and rehabilitate these habitats to provide
suitable breeding environments for waterbirds. The composition of wintering
waterbirds in the Qinghai Lake Basin has changed, prompting enhanced monitoring
and protective measures for wintering areas to ensure waterbird populations
remain stable. During specific periods, patrol enforcement is intensified to
reduce disturbances to waterbird habitats, creating a safe and tranquil living
environment. For waterbird habitats not included within protected areas, the
team is collaborating with local governments to jointly establish protected
zones or implement joint defense and management measures.
Author Contributions
Zhang, N. N. and Chen, K. L. were responsible for the overall design of the
dataset development. Sun, J. Q., Qi, D. S., Wang, X. Y., Yang, S. D., and Wei,
Q. C. collected and processed all the data. Zhang, N. N. wrote the data paper
and other related documents.
Conflicts of Interest
The
authors declare no conflicts of interest.
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