Pangolins in global camera trap data: Implications for ecological monitoring

  1. Khwaja, Hannah
  2. Buchan, Claire
  3. Wearn, Oliver R.
  4. Bahaa-el-din, Laila
  5. Bantlin, Drew
  6. Bernard, Henry
  7. Bitariho, Robert
  8. Bohm, Torsten ORCID logo
  9. Borah, Jimmy
  10. Brodie, Jedediah
  11. Chutipong, Wanlop
  12. Preez, Byron du
  13. Ebang-Mbele, Alex
  14. Edwards, Sarah
  15. Fairet, Emilie
  16. Frechette, Jackson L.
  17. Garside, Adrian
  18. Gibson, Luke
  19. Giordano, Anthony
  20. Veeraswami Gopi, Govindan
  21. Granados, Alys
  22. Gubbi, Sanjay
  23. Harich, Franziska
  24. Haurez, Barbara
  25. Havmøller, Rasmus W.
  26. Helmy, Olga
  27. Isbell, Lynne A.
  28. Jenks, Kate
  29. Kalle, Riddhika
  30. Kamjing, Anucha
  31. Khamcha, Daphawan
  32. Kiebou-Opepa, Cisquet
  33. Kinnaird, Margaret
  34. Kruger, Caroline
  35. Laudisoit, Anne
  36. Lynam, Antony
  37. Macdonald, Suzanne E.
  38. Mathai, John
  39. Sienne, Julia Metsio
  40. Meier, Amelia
  41. Mills, David
  42. Mohd-Azlan, Jayasilan
  43. Nakashima, Yoshihiro
  44. Nash, Helen C.
  45. Ngoprasert, Dusit
  46. Nguyen, An
  47. O’Brien, Tim
  48. Olson, David
  49. Orbell, Christopher
  50. Poulsen, John
  51. Ramesh, Tharmalingam
  52. Reeder, DeeAnn
  53. Reyna, Rafael
  54. Rich, Lindsey N.
  55. Rode-Margono, Johanna
  56. Rovero, Francesco
  57. Sheil, Douglas
  58. Shirley, Matthew H.
  59. Stratford, Ken
  60. Sukumal, Niti
  61. Suwanrat, Saranphat
  62. Tantipisanuh, Naruemon
  63. Tilker, Andrew ORCID logo
  64. Van Berkel, Tim
  65. Van der Weyde, Leanne K.
  66. Varney, Matthew
  67. Weise, Florian
  68. Wiesel, Ingrid
  69. Wilting, Andreas ORCID logo
  70. Wong, Seth T.
  71. Waterman, Carly
  72. Challender, Daniel W.S.

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WeightNameValue
1000 Titel
  • Pangolins in global camera trap data: Implications for ecological monitoring
1000 Autor/in
  1. Khwaja, Hannah |
  2. Buchan, Claire |
  3. Wearn, Oliver R. |
  4. Bahaa-el-din, Laila |
  5. Bantlin, Drew |
  6. Bernard, Henry |
  7. Bitariho, Robert |
  8. Bohm, Torsten |
  9. Borah, Jimmy |
  10. Brodie, Jedediah |
  11. Chutipong, Wanlop |
  12. Preez, Byron du |
  13. Ebang-Mbele, Alex |
  14. Edwards, Sarah |
  15. Fairet, Emilie |
  16. Frechette, Jackson L. |
  17. Garside, Adrian |
  18. Gibson, Luke |
  19. Giordano, Anthony |
  20. Veeraswami Gopi, Govindan |
  21. Granados, Alys |
  22. Gubbi, Sanjay |
  23. Harich, Franziska |
  24. Haurez, Barbara |
  25. Havmøller, Rasmus W. |
  26. Helmy, Olga |
  27. Isbell, Lynne A. |
  28. Jenks, Kate |
  29. Kalle, Riddhika |
  30. Kamjing, Anucha |
  31. Khamcha, Daphawan |
  32. Kiebou-Opepa, Cisquet |
  33. Kinnaird, Margaret |
  34. Kruger, Caroline |
  35. Laudisoit, Anne |
  36. Lynam, Antony |
  37. Macdonald, Suzanne E. |
  38. Mathai, John |
  39. Sienne, Julia Metsio |
  40. Meier, Amelia |
  41. Mills, David |
  42. Mohd-Azlan, Jayasilan |
  43. Nakashima, Yoshihiro |
  44. Nash, Helen C. |
  45. Ngoprasert, Dusit |
  46. Nguyen, An |
  47. O’Brien, Tim |
  48. Olson, David |
  49. Orbell, Christopher |
  50. Poulsen, John |
  51. Ramesh, Tharmalingam |
  52. Reeder, DeeAnn |
  53. Reyna, Rafael |
  54. Rich, Lindsey N. |
  55. Rode-Margono, Johanna |
  56. Rovero, Francesco |
  57. Sheil, Douglas |
  58. Shirley, Matthew H. |
  59. Stratford, Ken |
  60. Sukumal, Niti |
  61. Suwanrat, Saranphat |
  62. Tantipisanuh, Naruemon |
  63. Tilker, Andrew |
  64. Van Berkel, Tim |
  65. Van der Weyde, Leanne K. |
  66. Varney, Matthew |
  67. Weise, Florian |
  68. Wiesel, Ingrid |
  69. Wilting, Andreas |
  70. Wong, Seth T. |
  71. Waterman, Carly |
  72. Challender, Daniel W.S. |
1000 Erscheinungsjahr 2019
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-08-31
1000 Erschienen in
1000 Quellenangabe
  • 20:e00769
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.gecco.2019.e00769 |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S2351989419303105?via%3Dihub#appsec1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Despite being heavily exploited, pangolins (Pholidota: Manidae) have been subject to limited research, resulting in a lack of reliable population estimates and standardised survey methods for the eight extant species. Camera trapping represents a unique opportunity for broad-scale collaborative species monitoring due to its largely non-discriminatory nature, which creates considerable volumes of data on a relatively wide range of species. This has the potential to shed light on the ecology of rare, cryptic and understudied taxa, with implications for conservation decision-making. We undertook a global analysis of available pangolin data from camera trapping studies across their range in Africa and Asia. Our aims were (1) to assess the utility of existing camera trapping efforts as a method for monitoring pangolin populations, and (2) to gain insights into the distribution and ecology of pangolins. We analysed data collated from 103 camera trap surveys undertaken across 22 countries that fell within the range of seven of the eight pangolin species, which yielded more than half a million trap nights and 888 pangolin encounters. We ran occupancy analyses on three species (Sunda pangolin Manis javanica, white-bellied pangolin Phataginus tricuspis and giant pangolin Smutsia gigantea). Detection probabilities varied with forest cover and levels of human influence for P. tricuspis, but were low (<0.05) for all species. Occupancy was associated with distance from rivers for M. javanica and S. gigantea, elevation for P. tricuspis and S. gigantea, forest cover for P. tricuspis and protected area status for M. javanica and P. tricuspis. We conclude that camera traps are suitable for the detection of pangolins and large-scale assessment of their distributions. However, the trapping effort required to monitor populations at any given study site using existing methods appears prohibitively high. This may change in the future should anticipated technological and methodological advances in camera trapping facilitate greater sampling efforts and/or higher probabilities of detection. In particular, targeted camera placement for pangolins is likely to make pangolin monitoring more feasible with moderate sampling efforts.
1000 Sacherschließung
lokal Camera trap
lokal Detection
lokal Occupancy modelling
lokal Macroecology
lokal Monitoring
lokal Pangolin
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Fondation Segré |
  2. Biodiversity Monitoring Centre at the Faculty of Sciences of the University of Kisangani |
  3. Centre for International Forestry Research |
  4. Agence Nationale Des Parcs Nationaux |
  5. Centre National pour la Recherche Scientifique et Technique |
  6. Nouabalé-Ndoki Foundation |
  7. Ministry of Forest Economy, Republic of Congo |
  8. Department of Science and Technology, Ministry of Science and Technology, India |
  9. Ministry of Higher Education, Malaysia |
  10. National Science Foundation |
  11. AXA Research Fund |
  12. Conservation International |
  13. Smithsonian Institution |
  14. Wildlife Conservation Society |
  15. Gordon and Betty Moore Foundation |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
  7. -
  8. SR/S0/AS-100/2007
  9. NRGS 2013/1088/02
  10. BCS 1266389
  11. -
  12. -
  13. -
  14. -
  15. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
  7. -
  8. -
  9. -
  10. -
  11. -
  12. Tropical Ecology Assessment and Monitoring (TEAM) Network
  13. Tropical Ecology Assessment and Monitoring (TEAM) Network
  14. Tropical Ecology Assessment and Monitoring (TEAM) Network
  15. Tropical Ecology Assessment and Monitoring (TEAM) Network
1000 Dateien
  1. Pangolins in global camera trap data: Implications for ecological monitoring
    Pangolins in global camera trap data: Implications for ecological monitoring
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Fondation Segré |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Biodiversity Monitoring Centre at the Faculty of Sciences of the University of Kisangani |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Centre for International Forestry Research |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Agence Nationale Des Parcs Nationaux |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Centre National pour la Recherche Scientifique et Technique |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Nouabalé-Ndoki Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Ministry of Forest Economy, Republic of Congo |
    1000 Förderprogramm -
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer Department of Science and Technology, Ministry of Science and Technology, India |
    1000 Förderprogramm -
    1000 Fördernummer SR/S0/AS-100/2007
  9. 1000 joinedFunding-child
    1000 Förderer Ministry of Higher Education, Malaysia |
    1000 Förderprogramm -
    1000 Fördernummer NRGS 2013/1088/02
  10. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer BCS 1266389
  11. 1000 joinedFunding-child
    1000 Förderer AXA Research Fund |
    1000 Förderprogramm -
    1000 Fördernummer -
  12. 1000 joinedFunding-child
    1000 Förderer Conservation International |
    1000 Förderprogramm Tropical Ecology Assessment and Monitoring (TEAM) Network
    1000 Fördernummer -
  13. 1000 joinedFunding-child
    1000 Förderer Smithsonian Institution |
    1000 Förderprogramm Tropical Ecology Assessment and Monitoring (TEAM) Network
    1000 Fördernummer -
  14. 1000 joinedFunding-child
    1000 Förderer Wildlife Conservation Society |
    1000 Förderprogramm Tropical Ecology Assessment and Monitoring (TEAM) Network
    1000 Fördernummer -
  15. 1000 joinedFunding-child
    1000 Förderer Gordon and Betty Moore Foundation |
    1000 Förderprogramm Tropical Ecology Assessment and Monitoring (TEAM) Network
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419371.rdf
1000 Erstellt am 2020-03-26T08:54:31.367+0100
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1000 Zuletzt bearbeitet 2020-03-26T09:07:27.565+0100
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