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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.15295
|2 doi
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|a pubmed24n1043.xml
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|a (DE-627)NLM312986238
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|a (NLM)32722880
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Rickbeil, Gregory J M
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Changing spring snow cover dynamics and early season forage availability affect the behavior of a large carnivore
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 14.04.2021
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|a Date Revised 14.04.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2020 John Wiley & Sons Ltd.
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|a Changing climates are altering wildlife habitats and wildlife behavior in complex ways. Here, we examine how changing spring snow cover dynamics and early season forage availability are altering grizzly bear (Ursus arctos) behavior postden emergence. Telemetry data were used to identify spring activity dates for 48 individuals in the Yellowhead region of Alberta, Canada. Spring activity date was related to snow cover dynamics using a daily percent snow cover dataset. Snow melt end date, melt rate, and melt consistency explained 45% of the variation in spring activity date. We applied this activity date model across the entire Yellowhead region from 2000 to 2016 using simulated grizzly bear home ranges. Predicted spring activity date was then compared with a daily spring forage availability date dataset, resulting in "wait time" estimates for four key early season forage species. Temporal changes in both spring activity date and early season forage "wait times" were assessed using non-parametric regression. Grizzly bear activity date was found to have either remained constant (95%) or become earlier (5%) across the study area; virtually no areas with significantly later spring activity dates were detected. Similarly, the majority of "wait times" did not change (85%); however, the majority of significant changes in "wait times" for the four early season forage species indicated that "wait times" were lessening where changes were detected. Our results show that spring activity date is largely dictated by snow melt characteristics and that changing snow melt conditions may result in earlier spring activity. However, early season food stress conditions are likely to remain unchanged or improve as vegetation phenology also becomes earlier. Our findings extend the recent work examining animal movement in response to changing phenology from migratory birds and ungulates to an apex predator, further demonstrating the potential effects of changing climates on wildlife species
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|a Journal Article
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|a GPS
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| 650 |
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4 |
|a climate change
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| 650 |
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4 |
|a grizzly bears
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| 650 |
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4 |
|a mammal
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| 650 |
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4 |
|a phenology
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| 650 |
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|a remote sensing
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| 650 |
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4 |
|a telemetry
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| 650 |
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4 |
|a wildlife
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| 700 |
1 |
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|a Coops, Nicholas C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Berman, Ethan E
|e verfasserin
|4 aut
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| 700 |
1 |
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|a McClelland, Cameron J R
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bolton, Douglas K
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Stenhouse, Gordon B
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 26(2020), 11 vom: 04. Nov., Seite 6266-6275
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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| 773 |
1 |
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|g volume:26
|g year:2020
|g number:11
|g day:04
|g month:11
|g pages:6266-6275
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|u http://dx.doi.org/10.1111/gcb.15295
|3 Volltext
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