2021
DOI: 10.3389/fevo.2021.642276
|View full text |Cite
|
Sign up to set email alerts
|

Moose Habitat Selection and Fitness Consequences During Two Critical Winter Tick Life Stages in Vermont, United States†

Abstract: The moose (Alces alces) is a charismatic species in decline across much of their southern distribution in North America. In the northeastern United States, much of the reduction has been attributed to winter tick (Dermacentor albipictus) infestations. Winter ticks are fairly immobile throughout all life stages, and therefore their distribution patterns at any given time are shaped largely by the occurrence of moose across the landscape during the peak of two critical time periods: fall questing (when ticks lat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 9 publications
(8 citation statements)
references
References 30 publications
(63 reference statements)
0
5
0
Order By: Relevance
“…Additionally, the temporal flexibility allows prediction of the impacts of recent timber harvest on an annual basis or to periodically evaluate landscape changes when setting long-term management objectives [32]. Recent approaches have utilized LiDAR to create more comprehensive forest cover predictions that can identify more subtle variations in stand structure [51,62,63], but LiDAR can be cost prohibitive when predicting forest cover at large spatial scales or at multiple points in time [12].…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, the temporal flexibility allows prediction of the impacts of recent timber harvest on an annual basis or to periodically evaluate landscape changes when setting long-term management objectives [32]. Recent approaches have utilized LiDAR to create more comprehensive forest cover predictions that can identify more subtle variations in stand structure [51,62,63], but LiDAR can be cost prohibitive when predicting forest cover at large spatial scales or at multiple points in time [12].…”
Section: Discussionmentioning
confidence: 99%
“…Individuals in our simulated population were assigned random home range centroids within the study area using the spsample() function in the sp package (Bivand et al., 2013 ; Pebesma & Bivand, 2005 ). We assigned locations based on global positioning system (GPS) collar data collected on moose of the same sex and age in the study area, adjusted to be relative to each simulated animal's home range centroid (Blouin et al., 2021a , 2021b ). Animal centroids would change as individuals dispersed, and location data would be updated as individuals aged into older age classes.…”
Section: Methodsmentioning
confidence: 99%
“…Low-density moose populations exist along the southern edge of the species distribution in eastern North America. Suitable habitat for these moose population are often known (e.g., Blouin et al, 2021aBlouin et al, , 2021b and could inform spatially based sampling for pedigree reconstruction and aid in the monitoring of low-density populations.…”
Section: Future Applicationsmentioning
confidence: 99%
“…In this suite of models, we considered relative moose density (Bergeron & Pekins, 2014;Samuel, 2007), spatial overlap on winter range shared with other ungulates (deer [Odocoileus spp. ] or elk [Cervus elaphus]) that could serve as additional hosts (Welch et al, 1991), vegetation type (Addison et al, 2016;Drew & Samuel, 1986;Healy et al, 2018;Powers & Pekins, 2020), and individual moose migratory behavior (Blouin et al, 2021;Healy et al, 2018; Table 2). We characterized vegetation type at each capture site according to year-specific land cover data using the International Geosphere Biosphere Programme (IGBP) global vegetation classification of the moderate resolution imaging spectroradiometer (MODIS) land cover product (MCD12Q1) at a 500 × 500 m resolution, following Liang et al (2015).…”
Section: Tick Load Data and Hypothesized Covariatesmentioning
confidence: 99%