Skip to main navigation Skip to search Skip to main content

The problems with pooling poop: Confronting sampling method biases in wolf (Canis lupus) diet studies

Research output: Contribution to journalArticlepeer-review

Abstract

Wolf (Canis lupus L., 1758) diet is commonly estimated via scat analysis. Several researchers have concluded that scat collection method can bias diet estimates, but none of these studies properly accounted for interpack, age class, and temporal variability, all of which could bias diet estimates. We tested whether different scat collection methods yielded different wolf diet estimates after accounting for these other potential biases. We collected scats (n = 2406) monthly from four packs via three scat collection methods (at home sites, at clusters of GPS locations, and opportunistically) in and adjacent to Voyageurs National Park, Minnesota, USA, during April-October 2015. Diet estimates were not affected by scat collection method but did vary temporally, among packs, and by age class. To more accurately estimate wolf population diets, researchers should collect 10-20 adult scats/pack per month from home sites and (or) opportunistically from packs that are representative of the population of interest. Doing so will minimize the potential biases associated with temporal, interpack, and age-class variability.

Original languageEnglish (US)
Pages (from-to)843-851
Number of pages9
JournalCanadian Journal of Zoology
Volume95
Issue number11
DOIs
StatePublished - 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017, Canadian Science Publishing. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Biases
  • Canis lupus
  • Diet
  • Gray wolf
  • Minnesota
  • Scat analysis
  • Wolf diet

Fingerprint

Dive into the research topics of 'The problems with pooling poop: Confronting sampling method biases in wolf (Canis lupus) diet studies'. Together they form a unique fingerprint.

Cite this