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Rapid shifts in distribution and high-latitude persistence of oceanographic habitat revealed using citizen science data from a climate change hotspot

Citation

Champion, C and Hobday, AJ and Tracey, SR and Pecl, GT, Rapid shifts in distribution and high-latitude persistence of oceanographic habitat revealed using citizen science data from a climate change hotspot, Global Change Biology, 24, (11) pp. 5440-5453. ISSN 1354-1013 (2018) [Refereed Article]


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Copyright Statement

Copyright 2018 John Wiley & Sons Ltd

DOI: doi:10.1111/gcb.14398

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:citizen science, climate change, global change, habitat suitability model, mixed-effects modelling, range shift, Seriola lalandi, species distribution model, species redistribution
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - wild caught not elsewhere classified
UTAS Author:Champion, C (Mr Curtis Champion)
UTAS Author:Hobday, AJ (Dr Alistair Hobday)
UTAS Author:Tracey, SR (Associate Professor Sean Tracey)
UTAS Author:Pecl, GT (Professor Gretta Pecl)
ID Code:127193
Year Published:2018
Web of Science® Times Cited:34
Deposited By:Fisheries and Aquaculture
Deposited On:2018-07-17
Last Modified:2019-02-20
Downloads:58 View Download Statistics

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