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Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE (Open Access)

Nest remains are insufficient to identify predators of waterfowl nests

Kaylan M. Kemink https://orcid.org/0000-0002-1404-0690 A * , Kyle J. Kuechle A , Mason L. Sieges A , Sam Krohn A B , Cailey D. Isaacson A B , John Palarski A B , Nick Conrad A B , Allicyn Nelson A B , Boyan Liu A , Thomas K. Buhl https://orcid.org/0000-0001-9909-3419 C and Susan N. Ellis-Felege B
+ Author Affiliations
- Author Affiliations

A Great Plains Regional Office, Ducks Unlimited Inc., 2525 River Road, Bismarck, ND, USA.

B Department of Biology, University of North Dakota, 10 Cornell Street, Grand Forks, ND, USA.

C U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, ND, USA.

* Correspondence to: kkemink@ducks.org

Handling Editor: Jonathan Webb

Wildlife Research 50(3) 182-189 https://doi.org/10.1071/WR22042
Submitted: 4 March 2022  Accepted: 23 July 2022   Published: 19 September 2022

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY)

Abstract

Context: Nest predation is a leading cause of nest failure for most ground-nesting birds. Methods that allow for accurate classification of fate and identification of predators are important for understanding productivity and conservation strategies. Past studies have used a visual inspection of nest remains to determine nest fate and predict predator identity. Most formal assessments of these methods have addressed small-bodied birds nesting in trees or shrubs, and have revealed that use of evidence at nests can be relatively accurate for determining nest fate but may lead to incorrect conclusions regarding predator identity. However, few have tested the latter hypothesis for larger ground-nesting birds with precocial young.

Aim: We aimed to evaluate a classification system developed for determining nest fate and identifying predators of waterfowl nests, at both the scale of individual nests and across the study area.

Methods: From 2016 to 2020, we located 989 blue-winged teal (Spatula discors), mallard (Anas platyrhynchos) and gadwall (Mareca strepera) nests in central North Dakota. We placed cameras at a subset of 249 nests and recorded evidence of nest remains at depredated nests.

Key results: The most common predators were American badgers (Taxidea taxus), followed by striped skunks (Mephitis mephitis), raccoons (Procyon lotor) and red foxes (Vulpes vulpes). Using evidence of nest remains, we determined nest fates with high accuracy (98.0%). However, evidence of nest remains was only sufficient for identifying predators at 50% of nests, and the classification system was correct only 69.7% of the time. The predicted proportion of predators across the study area differed between the classification system and our video evidence as well.

Conclusions: The accuracy of predator identifications based upon the classification system that we evaluated was not supported at any scale.

Implications: Our results suggest that evidence of nest remains can be used to determine nest fate for large-bodied precocial, ground-nesting birds, but accurate identification of nest predators will require alternative methods such as nest cameras.

Keywords: badger, conservation, grassland, nest camera, Prairie Pothole Region, predation, waterfowl, wetland.


References

ndes, ndes, (2019). Accuracy of nest fate classification and predator identification from evidence at nests of least terns and piping plovers. Ibis 161, 286–300.
Accuracy of nest fate classification and predator identification from evidence at nests of least terns and piping plovers.Crossref | GoogleScholarGoogle Scholar |

Anthony, RM, Grand, JB, Fondell, TF, and Manly, BFJ (2004). A quantitative approach to identifying predators from nest remains. Journal of Field Ornithology 75, 40–48.
A quantitative approach to identifying predators from nest remains.Crossref | GoogleScholarGoogle Scholar |

Ball, JR, and Bayne, EM (2012). Using video monitoring to assess the accuracy of nest fate and nest productivity estimates by field observation. The Auk 129, 438–448.
Using video monitoring to assess the accuracy of nest fate and nest productivity estimates by field observation.Crossref | GoogleScholarGoogle Scholar |

Blythe, EM, and Boyce, MS (2020). Trappings of success: predator removal for duck nest survival in Alberta parklands. Diversity 12, 119.
Trappings of success: predator removal for duck nest survival in Alberta parklands.Crossref | GoogleScholarGoogle Scholar |

Burnam JS (2008) Using continuous video to monitor patterns of nest defense and incubation behavior in northern bobwhites Colinus virginianus. MS thesis, University of Georgia, Athens, GA, USA.

Burr, PC, Robinson, AC, Larsen, RT, Newman, RA, and Ellis-Felege, SN (2017). Sharp-tailed grouse nest survival and nest predator habitat use in North Dakota’s Bakken oil field. PLoS One 12, e0170177.
Sharp-tailed grouse nest survival and nest predator habitat use in North Dakota’s Bakken oil field.Crossref | GoogleScholarGoogle Scholar |

Cox WA, Pruett MS, Benson TJ, Chiavacci SJ, Thompson FR III (2012) Development of camera technology for monitoring nests. In ‘Video Surveillance of Nesting Birds’. (Eds CA Ribic, FR Thompson III, PJ Pietz) pp. 185–210. Studies in Avian Biology No. 43. (University of California Press: Berkeley, CA, USA)

Ellis, KS, Cavitt, JF, Larsen, RT, and Koons, DN (2018). Using remote cameras to validate estimates of nest fate in shorebirds. Ibis 160, 681–687.
Using remote cameras to validate estimates of nest fate in shorebirds.Crossref | GoogleScholarGoogle Scholar |

Ellis-Felege SN, Carroll JP (2012) Gamebirds and nest cameras: present and future. In ‘Video Surveillance of Nesting Birds’. (Eds CA Ribic, FR Thompson III, PJ Pietz), pp. 35–44. Studies in Avian Biology No. 43. (University of California Press: Berkeley, CA, USA)

Girard GL (1939) Life history of the shoveler. In ‘Transactions of the 14th North American Wildlife Conference’, Vol. 4. pp. 364–371. (Wildlife Management Institute: Washington, DC, USA)

Hopken, MW, Orning, EK, Young, JK, and Piaggio, AJ (2016). Molecular forensics in avian conservation: a DNA-based approach for identifying mammalian predators of ground-nesting birds and eggs. BMC Research Notes 9, 14.
Molecular forensics in avian conservation: a DNA-based approach for identifying mammalian predators of ground-nesting birds and eggs.Crossref | GoogleScholarGoogle Scholar |

Klett AT, Duebbert HF, Faanes CA, Higgins KF (1986) Techniques for studying nest success of ducks in upland habitats in the Prairie Pothole Region. Resource Publication 158. United States Department of the Interior Fish and Wildlife Service, Washington, DC, USA. Available at https://apps.dtic.mil/sti/pdfs/ADA323206.pdf [Accessed 20 April 2021]

Lariviere, S (1999). Reasons why predators cannot be inferred from nest remains. The Condor 101, 718–721.
Reasons why predators cannot be inferred from nest remains.Crossref | GoogleScholarGoogle Scholar |

Opermanis, O, Mednis, A, and Bauga, I (2001). Duck nests and predators: interaction, specialisation and possible management. Wildlife Biology 7, 87–96.
Duck nests and predators: interaction, specialisation and possible management.Crossref | GoogleScholarGoogle Scholar |

Pietz, PJ, and Granfors, DA (2000). Identifying predators and fates of grassland passerine nests using miniature video cameras. The Journal of Wildlife Management 64, 71–87.
Identifying predators and fates of grassland passerine nests using miniature video cameras.Crossref | GoogleScholarGoogle Scholar |

Pietz PJ, Granfors DA, Ribic CA (2012) Knowledge gained from video-monitoring grassland passerine nests. In ‘Video Surveillance of Nesting Birds’. (Eds CA Ribic, FR Thompson III, PJ Pietz) pp. 3–22. Studies in Avian Biology No. 43. (University of California Press: Berkeley, CA, USA)

Prinz, ACB, Taank, VK, Voegeli, V, and Walters, EL (2016). A novel nest-monitoring camera system using a Raspberry Pi micro-computer. Journal of Field Ornithology 87, 427–435.
A novel nest-monitoring camera system using a Raspberry Pi micro-computer.Crossref | GoogleScholarGoogle Scholar |

Ribic CA, Thompson FR, Pietz PK (Eds) (2012) ‘Video Surveillance of Nesting Birds.’ Studies in Avian Biology No. 43. (University of California Press: Berkley, CA, USA)

Robel, RJ, Briggs, JN, Dayton, AD, and Hulbert, LC (1970). Relationships between visual obstruction measurements and weight of grassland vegetation. Journal of Range Management 23, 295–297.
Relationships between visual obstruction measurements and weight of grassland vegetation.Crossref | GoogleScholarGoogle Scholar |

Sargeant AB, Sovada MA, Greenwood RJ (1998) Interpreting evidence of depredation at duck nests in the Prairie Pothole Region. US Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, ND, USA.

Sherfy, MH, Anteau, MJ, Shaffer, TL, Johnson, MA, Reynolds, RE, and Ringelman, JK (2018). Density and success of upland duck nests in native- and tame-seeded conservation fields. Wildlife Society Bulletin 42, 204–212.
Density and success of upland duck nests in native- and tame-seeded conservation fields.Crossref | GoogleScholarGoogle Scholar |

Staller, EL, Palmer, WE, Carroll, JP, Thornton, RP, and Sisson, DC (2005). Identifying predators at northern bobwhite nests. Journal of Wildlife Management 69, 124–132.
Identifying predators at northern bobwhite nests.Crossref | GoogleScholarGoogle Scholar |

Thompson, FR, Dijak, W, and Burhans, DE (1999). Video identification of predators at songbird nests in old fields. The Auk 116, 259–264.
Video identification of predators at songbird nests in old fields.Crossref | GoogleScholarGoogle Scholar |

Weidinger, K (2008). Identification of nest predators: a sampling perspective. Journal of Avian Biology 39, 640–646.
Identification of nest predators: a sampling perspective.Crossref | GoogleScholarGoogle Scholar |

Weller, MW (1956). A simple field candler for waterfowl eggs. The Journal of Wildlife Management 20, 111–113.
A simple field candler for waterfowl eggs.Crossref | GoogleScholarGoogle Scholar |

Williams, GE, and Wood, PB (2002). Are traditional methods of determining nest predators and nest fates reliable? An experiment with wood thrushes (Hylocichla mustelina) using miniature video cameras. The Auk 119, 1126–1132.
Are traditional methods of determining nest predators and nest fates reliable? An experiment with wood thrushes (Hylocichla mustelina) using miniature video cameras.Crossref | GoogleScholarGoogle Scholar |