Nest remains are insufficient to identify predators of waterfowl nests

Author:

Kemink Kaylan M.ORCID,Kuechle Kyle J.,Sieges Mason L.,Krohn Sam,Isaacson Cailey D.,Palarski John,Conrad Nick,Nelson Allicyn,Liu Boyan,Buhl Thomas K.ORCID,Ellis-Felege Susan N.

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.

Publisher

CSIRO Publishing

Subject

Management, Monitoring, Policy and Law,Ecology, Evolution, Behavior and Systematics

Reference26 articles.

1. Accuracy of nest fate classification and predator identification from evidence at nests of least terns and piping plovers.;Ibis,2019

2. A quantitative approach to identifying predators from nest remains.;Journal of Field Ornithology,2004

3. Using video monitoring to assess the accuracy of nest fate and nest productivity estimates by field observation.;The Auk,2012

4. Trappings of success: predator removal for duck nest survival in Alberta parklands.;Diversity,2020

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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3