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Occurrence dataset of birds from multi-region avifaunal surveys in Gansu Province, China (2011-2020)

Citation

Wu M, Gong Y, Zhang X, Gao Y, Bao X, Zhao W, Luo S, Cong P, Xu Z, Song S, Zhao Q (2026). Occurrence dataset of birds from multi-region avifaunal surveys in Gansu Province, China (2011-2020). Chinese Academy of Sciences (CAS). Sampling event dataset https://doi.org/10.15468/s6rndz accessed via GBIF.org on 2026-06-04.

Description

This study synthesizes line monitoring data collected from multiple locations within Gansu Province, including Subei Mongolian Autonomous County, Yumen City, Lanzhou City, Luqu County, and Wudu District of Longnan City, spanning the years 2011 to 2020. Additionally, it incorporates line records from Tianzhu County (2014–2020), as well as Gaotai County, Minqin County, Maiji District of Tianshui City, Kongtong District of Pingliang City, Wen County, and Dunhuang City (2016–2018). Drawing upon these asynchronous surveys conducted across varying temporal and spatial scales, a comprehensive sampling event dataset was developed, comprising 118 transects and encompassing 373 species. The dataset includes 27,077 georeferenced event records, representing 157,345 individual organisms from 373 species distributed across 21 orders, 65 families and 191 genera. The most abundant species was the Sparrow, constituting 12.57% of all individuals, followed by the Bar-headed Goose, which accounted for 10.43%. All records adhere to Darwin Core standards, thereby providing a robust foundation for subsequent analyses of population trends, habitat associations, and inter-basin comparisons within Gansu Province.

Purpose

Gansu Province, spanning the critical corridor of the Central Asian and East Asian-Australasian Flyways, harbors a mosaic of ecosystems from alpine meadows to arid deserts that sustain vital habitats for diverse avifauna. As a key biogeographic junction, its wetlands and grasslands along the Hexi Corridor and the upper reaches of the Yellow River provide indispensable breeding, stopover, and wintering grounds for numerous migratory birds, including globally threatened species such as the Black-necked Crane (Grus nigricollis) and Golden Eagle (Aquila chrysaetos). Despite its recognized biogeographic significance, comprehensive and standardized avifaunal datasets that encompass the province’s major ecoregions remain fragmented. Existing studies are often localized or temporally discontinuous, hindering a province-wide understanding of bird distribution dynamics and population statuses under escalating anthropogenic pressures. To address this gap, we conducted systematic line-transect surveys across twelve key counties and districts in Gansu over multiple distinct periods between 2011 and 2020, with survey durations tailored to regional logistics and ecological focus. This study presents a detailed occurrence dataset derived from these multi-temporal, multi-region investigations, providing foundational species occurrence and count data essential for informing conservation strategies and ecological monitoring across this under-sampled yet vital province.

Sampling Description

Study Extent

The monitoring dataset encompasses twelve regions within Gansu Province, China, spanning longitudinal coordinates approximately from 94.65°E to 105.71°E and latitudinal coordinates from approximately 33.00°N to 42.08°N.

Sampling

Utilizing standardized visual counting protocols, the research team conducted a comprehensive survey of avian biodiversity across twelve sites in Gansu Province from 2011 to 2020. Each survey was performed by a team of four experienced observers and lasted between 50 and 70 minutes. During the initial phase of method development (primarily 2011–2012), the collected data exhibited certain inconsistencies in spatiotemporal records, including occasional disruptions in interannual continuity and irregular survey timing. From 2013 onward, survey procedures were more rigorously standardized, geographical coverage was expanded, and systematic seasonal repeat surveys were implemented during spring and summer. Data collected prior to 2013 were carefully reviewed, with records either harmonized or excluded as necessary to ensure consistency in temporal and methodological parameters. All surveys followed fixed transects defined by origin and destination geographic coordinates, which were documented in the dataset using the LINESTRING geometric format. Spatial data employed the WGS84 geodetic datum, with latitude and longitude recorded in decimal degrees. This coordinate system facilitates compatibility with widely used geographic information systems and enables precise spatial analyses across the diverse landscapes of Gansu Province, ranging from arid deserts to alpine wetlands.

Quality Control

This survey upheld scientific rigor and data consistency through the implementation of a stringent quality control system. During the survey design phase, a standardized visual counting methodology was employed, and fixed geographical sample lines were predetermined. Additionally, all four participating counters underwent comprehensive training and screening to ensure their proficiency and expertise. Throughout the survey execution, immediate cross-verification of on-site data records was conducted to enhance accuracy. In the data management and compilation stage, systematic verification of each digitized record’s spatiotemporal information integrity and coordinate logic was performed, with all spatial data standardized to the WGS84 geodetic reference system. To address the requirements of long-term monitoring, core methodologies were consistently maintained, fixed sample sites were utilized, and regular team collaboration was conducted to minimize potential long-term deviations.

Method steps

  1. The avian species composition and abundance across twelve administrative regions within Gansu Province were examined employing the line-transect survey method. Following initial field reconnaissance, a total of 118 permanent transects, each measuring between 1 and 2 kilometers in length, were established. The placement of transects was strategically chosen to represent a diverse array of habitat types, including wetlands, forests, shrublands, and grasslands. Bird surveys were carried out during the spring (April to May) and early summer (June to July) periods under favorable weather conditions. In Subei Mongolian Autonomous County, ten transects were established, with a total of 59 surveys conducted intermittently from 2011 to 2018. Similarly, in Yumen City, ten transects were set up, and 126 surveys were carried out intermittently between 2011 and 2020. Lanzhou City also had ten transects established, with 133 surveys conducted intermittently during the same period. In Luqu County, ten transects were established, and 151 surveys were performed intermittently from 2011 to 2020. Wudu District in Longnan City had ten transects with 128 surveys conducted intermittently between 2011 and 2020. Likewise, Tianzhu Tibetan Autonomous County had ten transects and 128 intermittent surveys within the same timeframe. In Gao Tai County, three transects were established, and 13 surveys were conducted between 2016 and 2018. Minqin County had ten transects with 72 surveys conducted intermittently from 2016 to 2018. Maiji District in Tianshui City also had ten transects, with 60 surveys conducted intermittently during this period. Additionally, ten transects were set up in Kongtong District, Pingliang City, and Wen County, each with 60 surveys conducted intermittently between 2016 and 2018. Finally, Dunhuang City had ten transects established, with 60 surveys conducted intermittently from 2016 to 2018. Surveys were conducted during morning hours (07:00–12:00) and afternoon hours (14:00–17:00) under conditions of clear weather and favorable air quality. Observers traversed the transect at a walking speed of 1–2 km/h. Each survey involved four experienced researchers who utilized 8×40 binoculars to identify and record bird species and their numbers along the transect, following the guidelines outlined in the "Chinese Field Bird Manual. " Additionally, photographic documentation was obtained using a Canon 6D Mark II camera equipped with a Canon EF 100-400mm lens to further verify species identification. The duration of each transect survey ranged from 50 to 70 minutes. Post-fieldwork, the collected data were systematically organized and summarized using Microsoft Excel, and the resulting dataset was formatted according to the Darwin Core standard.

Taxonomic Coverages

N/A
  1. Stenostiridae
    rank: family
  2. Troglodytidae
    rank: family
  3. Suliformes
    rank: order
  4. Estrildidae
    rank: family
  5. Laridae
    rank: family
  6. Sylviidae
    rank: family
  7. Corvidae
    rank: family
  8. Cuculiformes
    rank: order
  9. Upupidae
    rank: family
  10. Phylloscopidae
    rank: family
  11. Anseriformes
    rank: order
  12. Columbidae
    rank: family
  13. Regulidae
    rank: family
  14. Motacillidae
    rank: family
  15. Muscicapidae
    rank: family
  16. Animalia
    rank: kingdom
  17. Phalacrocoracidae
    rank: family
  18. Cuculidae
    rank: family
  19. Galliformes
    rank: order
  20. Aegithalidae
    rank: family
  21. Podicipedidae
    rank: family
  22. Emberizidae
    rank: family
  23. Passeriformes
    rank: order
  24. Pycnonotidae
    rank: family
  25. Zosteropidae
    rank: family
  26. Rostratulidae
    rank: family
  27. Pelecaniformes
    rank: order
  28. Ciconiiformes
    rank: order
  29. Pteroclidae
    rank: family
  30. Picidae
    rank: family
  31. Falconiformes
    rank: order
  32. Leiothrichidae
    rank: family
  33. Accipitriformes
    rank: order
  34. Sittidae
    rank: family
  35. Pandionidae
    rank: family
  36. Sturnidae
    rank: family
  37. Cettiidae
    rank: family
  38. Chordata
    rank: phylum
  39. Gruiformes
    rank: order
  40. Fringillidae
    rank: family
  41. Paradoxornithidae
    rank: family
  42. Scolopacidae
    rank: family
  43. Columbiformes
    rank: order
  44. Alcedinidae
    rank: family
  45. Aves
    rank: class
  46. Apodiformes
    rank: order
  47. Ibidorhynchidae
    rank: family
  48. Charadriiformes
    rank: order
  49. Charadriidae
    rank: family
  50. Threskiornithidae
    rank: family
  51. Passeridae
    rank: family
  52. Gruidae
    rank: family
  53. Recurvirostridae
    rank: family
  54. Bucerotiformes
    rank: order
  55. Bombycillidae
    rank: family
  56. Prunellidae
    rank: family
  57. Accipitridae
    rank: family
  58. Podicipediformes
    rank: order
  59. Hirundinidae
    rank: family
  60. Campephagidae
    rank: family
  61. Strigidae
    rank: family
  62. Alaudidae
    rank: family
  63. Otididae
    rank: family
  64. Caprimulgiformes
    rank: order
  65. Tichodromadidae
    rank: family
  66. Phasianidae
    rank: family
  67. Pterocliformes
    rank: order
  68. Panuridae
    rank: family
  69. Falconidae
    rank: family
  70. Timaliidae
    rank: family
  71. Apodidae
    rank: family
  72. Turdidae
    rank: family
  73. Rallidae
    rank: family
  74. Acrocephalidae
    rank: family
  75. Caprimulgidae
    rank: family
  76. Strigiformes
    rank: order
  77. Otidiformes
    rank: order
  78. Cinclidae
    rank: family
  79. Piciformes
    rank: order
  80. Coraciiformes
    rank: order
  81. Laniidae
    rank: family
  82. Paridae
    rank: family
  83. Ardeidae
    rank: family
  84. Locustellidae
    rank: family
  85. Oriolidae
    rank: family
  86. Dicruridae
    rank: family
  87. Cisticolidae
    rank: family
  88. Ciconiidae
    rank: family
  89. Anatidae
    rank: family

Geographic Coverages

The monitoring data encompasses the entirety of Gansu Province, China, spanning a geographical range from approximately 94.65°E to 105.71°E in longitude and from approximately 33.00°N to 42.08°N in latitude. This dataset incorporates a diverse array of ecosystems, including northwestern desert regions, central river valley wetlands, and southern plateau forests.

Bibliographic Citations

Contacts

Mengling Wu
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
email: wumengling200211@163.com
Yuhan Gong
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Xiwang Zhang
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Yabo Gao
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Xinkang Bao
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Wei Zhao
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Shuang Luo
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Peihao Cong
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Zheping Xu
originator
Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences
Beijing
CN
Sen Song
originator
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
Qingshan Zhao
originator
State Key Laboratory of Regional and Urban Ecology, Research Centre for Eco-Environmental sciences, Chinese Academy of Sciences
Beijing
CN
email: qszhao@rcees.ac.cn
metadata author
Lanzhou university
Sen Song
administrative point of contact
School of Life Sciences, Lanzhou University
Lanzhou
Gansu
CN
email: songsen@lzu.edu.cn
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