Wolf Movement Patterns: a Key to Estimation of Kill Rate?
Abstract: To estimate wolf ( Canis lupus ) kill rates from fine‐scale movement patterns, we followed adult wolves in 3 territories of the Scandinavian wolf population using Global Positioning Systems (GPS) during the winters of 2001–2003. The resulting 6 datasets of 62–84 study days gave a total of...
Published in: | The Journal of Wildlife Management |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2007
|
Subjects: | |
Online Access: | http://dx.doi.org/10.2193/2006-306 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.2193%2F2006-306 |
id |
crwiley:10.2193/2006-306 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.2193/2006-306 2024-09-15T17:36:15+00:00 Wolf Movement Patterns: a Key to Estimation of Kill Rate? ZIMMERMANN, BARBARA WABAKKEN, PETTER SAND, HÅKAN PEDERSEN, HANS C. LIBERG, OLOF 2007 http://dx.doi.org/10.2193/2006-306 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.2193%2F2006-306 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor The Journal of Wildlife Management volume 71, issue 4, page 1177-1182 ISSN 0022-541X 1937-2817 journal-article 2007 crwiley https://doi.org/10.2193/2006-306 2024-07-09T04:11:09Z Abstract: To estimate wolf ( Canis lupus ) kill rates from fine‐scale movement patterns, we followed adult wolves in 3 territories of the Scandinavian wolf population using Global Positioning Systems (GPS) during the winters of 2001–2003. The resulting 6 datasets of 62–84 study days gave a total of 8,747 hourly GPS positions. We visited clusters of positions in the field on average 8.8 days after positioning and found moose ( Alces alces ) killed by wolves during the study period on 74 (8%) of the 953 clusters. The number of positions and visits to a cluster, their interaction, and the proportion of afternoon positions were significant fixed effects in mixed logistic‐regression models predicting the probability of a cluster containing a wolf‐killed moose. The models, however, displayed a poor goodness‐of‐fit and were not a suitable tool for estimating kill rates from positioning data alone. They might be used to reduce fieldwork by excluding unlikely clusters, although the reduction was not substantial. We discuss proximate factors (i.e., human disturbance and access to prey) as well as ultimate factors (i.e., social organization, intra‐guild dominance, and litter size) as potential causes of the observed high temporal and spatial variation in prey‐handling. For similar future kill‐rate studies, we recommend increasing field efforts and shortening positioning intervals. Article in Journal/Newspaper Alces alces Canis lupus Wiley Online Library The Journal of Wildlife Management 71 4 1177 1182 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
Abstract: To estimate wolf ( Canis lupus ) kill rates from fine‐scale movement patterns, we followed adult wolves in 3 territories of the Scandinavian wolf population using Global Positioning Systems (GPS) during the winters of 2001–2003. The resulting 6 datasets of 62–84 study days gave a total of 8,747 hourly GPS positions. We visited clusters of positions in the field on average 8.8 days after positioning and found moose ( Alces alces ) killed by wolves during the study period on 74 (8%) of the 953 clusters. The number of positions and visits to a cluster, their interaction, and the proportion of afternoon positions were significant fixed effects in mixed logistic‐regression models predicting the probability of a cluster containing a wolf‐killed moose. The models, however, displayed a poor goodness‐of‐fit and were not a suitable tool for estimating kill rates from positioning data alone. They might be used to reduce fieldwork by excluding unlikely clusters, although the reduction was not substantial. We discuss proximate factors (i.e., human disturbance and access to prey) as well as ultimate factors (i.e., social organization, intra‐guild dominance, and litter size) as potential causes of the observed high temporal and spatial variation in prey‐handling. For similar future kill‐rate studies, we recommend increasing field efforts and shortening positioning intervals. |
format |
Article in Journal/Newspaper |
author |
ZIMMERMANN, BARBARA WABAKKEN, PETTER SAND, HÅKAN PEDERSEN, HANS C. LIBERG, OLOF |
spellingShingle |
ZIMMERMANN, BARBARA WABAKKEN, PETTER SAND, HÅKAN PEDERSEN, HANS C. LIBERG, OLOF Wolf Movement Patterns: a Key to Estimation of Kill Rate? |
author_facet |
ZIMMERMANN, BARBARA WABAKKEN, PETTER SAND, HÅKAN PEDERSEN, HANS C. LIBERG, OLOF |
author_sort |
ZIMMERMANN, BARBARA |
title |
Wolf Movement Patterns: a Key to Estimation of Kill Rate? |
title_short |
Wolf Movement Patterns: a Key to Estimation of Kill Rate? |
title_full |
Wolf Movement Patterns: a Key to Estimation of Kill Rate? |
title_fullStr |
Wolf Movement Patterns: a Key to Estimation of Kill Rate? |
title_full_unstemmed |
Wolf Movement Patterns: a Key to Estimation of Kill Rate? |
title_sort |
wolf movement patterns: a key to estimation of kill rate? |
publisher |
Wiley |
publishDate |
2007 |
url |
http://dx.doi.org/10.2193/2006-306 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.2193%2F2006-306 |
genre |
Alces alces Canis lupus |
genre_facet |
Alces alces Canis lupus |
op_source |
The Journal of Wildlife Management volume 71, issue 4, page 1177-1182 ISSN 0022-541X 1937-2817 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.2193/2006-306 |
container_title |
The Journal of Wildlife Management |
container_volume |
71 |
container_issue |
4 |
container_start_page |
1177 |
op_container_end_page |
1182 |
_version_ |
1810488201587982336 |