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231225s2018 xx |||||o 00| ||eng c |
| 024 |
7 |
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|a 10.1111/gcb.14398
|2 doi
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| 028 |
5 |
2 |
|a pubmed25n0954.xml
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|a (DE-627)NLM286446022
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Champion, Curtis
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Rapid shifts in distribution and high-latitude persistence of oceanographic habitat revealed using citizen science data from a climate change hotspot
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| 264 |
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1 |
|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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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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| 500 |
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|a Date Completed 31.01.2019
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| 500 |
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|a Date Revised 31.01.2019
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2018 John Wiley & Sons Ltd.
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|a The environmental effects of climate change are predicted to cause distribution shifts in many marine taxa, yet data are often difficult to collect. Quantifying and monitoring species' suitable environmental habitats is a pragmatic approach for assessing changes in species distributions but is underdeveloped for quantifying climate change induced range shifts in marine systems. Specifically, habitat predictions present opportunities for quantifying spatiotemporal distribution changes while accounting for sources of natural climate variation. Here we demonstrate the utility of a marine-based habitat model parameterized using citizen science data and remotely sensed environmental covariates for quantifying shifts in oceanographic habitat suitability over 22 years for a coastal-pelagic fish species in a climate change hotspot. Our analyses account for the effects of natural intra- and interannual climate variability to reveal rapid poleward shifts in core (94.4 km/decade) and poleward edge (108.8 km/decade) oceanographic habitats. Temporal persistence of suitable oceanographic habitat at high latitudes also increased by approximately 3 months over the study period. Our approach demonstrates how marine citizen science data can be used to quantify range shifts, but necessitates shifting focus from species distributions directly, to the distribution of species' environmental habitat preferences
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| 650 |
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4 |
|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a Seriola lalandi
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| 650 |
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4 |
|a citizen science
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| 650 |
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4 |
|a climate change
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| 650 |
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4 |
|a global change
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| 650 |
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4 |
|a habitat suitability model
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| 650 |
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4 |
|a mixed-effects modelling
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| 650 |
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4 |
|a range shift
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| 650 |
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4 |
|a species distribution model
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| 650 |
|
4 |
|a species redistribution
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| 700 |
1 |
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|a Hobday, Alistair J
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tracey, Sean R
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Pecl, Gretta T
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 24(2018), 11 vom: 03. Nov., Seite 5440-5453
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnas
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| 773 |
1 |
8 |
|g volume:24
|g year:2018
|g number:11
|g day:03
|g month:11
|g pages:5440-5453
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1111/gcb.14398
|3 Volltext
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