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State of India’s Birds
1.57 million
observations
0.66 million checklists
16,318 observers
1,333 species
State of India’s Birds
o Started in August 2018
o Multiple institutions
Ashoka Trust for Research in Ecology & the Environment
Bombay Natural History Society
Foundation for Ecological Security
National Centre for Biological Sciences
Nature Conservation Foundation
Salim Ali Centre for Ornithology and Natural History
Wetlands International – South Asia
Wildlife Institute of India
Worldwide Fund for Nature – India
o Based on long-term eBird data
o Population trend and/or range for 867
species
o Identifies species of conservation concern
o Long-term trend – % change in abundance (frequency of
reporting) in 2018 when compared to pre-2000 levels
o Current annual change – mean % annual change in abundance
(frequency of reporting) in the last 5 years, from 2014 to 2018
o Range size – occupied range size in the last 5 years, 2014 to 2018
3 indices of population status
100%
60%
40%
60%
20%
Frequencyof
Reporting
Effort
Standardize to checklist of
average effort
Variable effort across checklists
Frequencyof
Reporting
Month (Jan – Dec)
Frequencyof
Reporting
Effort
Standardize to average
month
Variation across months (Seasonality)
Standardize to checklist of
average effort
Frequencyof
Reporting
Month (Jan – Dec)
Frequencyof
Reporting
Effort
Clustering and variation across space
Average across spaceStandardize to checklist of
average effort
Standardize to average
month
Population trends relative to pre-2000
Population trends relative to pre-2000
Population trends relative to pre-2000
Population trends relative to pre-2000
Vultures
Indian Peafowl
Large-billed Crow
House Crow
Common Myna
Red-whiskered Bulbul
Feral Pigeon
Black Kite
Short-toed Snake-Eagle
Shikra
Ashy Drongo
Greater Racket-tailed Drongo
Black-rumped Flameback
Greater Flameback
Common Iora
Cotton Pygmy-Goose
Indian Spot-billed Duck
Glossy Ibis
Little Cormorant
Purple Sunbird
Purple-rumped Sunbird
Crimson-backed Sunbird
Orange Minivet
Small Minivet
Western Yellow Wagtail
White-browed Wagtail
Oriental Skylark
Pied Kingfisher
Plain Prinia
Rosy Starling
Yellow-browed Bulbul
White-throated Kingfisher
Eurasian Marsh-Harrier
White-browed Bulbul
Common Greenshank
Little Stint
Pacific Golden-Plover
Common Redshank
Common Sandpiper
Green Sandpiper
o Long-term trend – Generalized Linear Mixed-Effects Models with
binomial errors
o Current annual change – Generalized Linear Mixed-Effects
Models with binomial errors, annual change in past 5 years
o Range size – Simple Occupancy models
3 indices of population status
Category Rule: Long-term Rule: Current Category Rule
Data Deficient insufficient data insufficient data Data Deficient absent in data
Strong Decline decline > 50% decline > 2.7% Very Restricted range < 7,500 sq. km.
Moderate Decline decline > 25% decline > 1.1% Restricted range < 42,500 sq. km.
Strong Increase increase > 50% increase > 1.6% Very Large range > 1,000,000 sq. km.
Moderate Increase increase > 25% increase > 0.9% Large range > 250,000 sq. km.
Uncertain CI > 25% CI > 2% Moderate others
Stable others others
Range SizeTrend
Trends: Endemics
Trends: Migration
Trends: Waterbirds
Trends: Raptors
Strong Decline – Residents Important for Kerala
M
D
Strong Decline – Residents Important for Kerala
M
D
Strong Decline – Migrants Important for Kerala
M
D
Not Different from Stable (Long-term)
o Several species, especially resident generalists, stable
o Most migratory Anatidae uncertain
Indian Species of Conservation Concern (ISoCC)
o High Concern (require urgent
attention)
o Moderate Concern (species to watch)
o Low Concern
With the information from all three indices, and drawing
from IUCN status when trends were uncertain/data
deficient, species were categorized as:
Species of High Concern
M
D
Species of High Concern

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Long-term Trends of Birds found in Kerala

Editor's Notes

  1. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  2. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  3. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  4. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  5. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  6. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  7. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  8. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  9. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  10. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  11. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  12. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  13. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  14. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  15. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  16. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  17. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  18. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  19. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  20. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  21. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  22. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  23. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  24. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  25. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  26. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  27. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  28. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  29. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  30. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  31. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  32. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  33. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  34. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  35. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  36. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  37. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  38. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  39. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  40. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  41. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  42. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  43. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  44. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  45. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  46. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  47. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  48. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  49. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  50. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  51. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  52. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  53. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  54. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  55. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  56. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  57. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point