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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

doi: 10.1111/gcb.14398
pmid: 30003633
AbstractThe 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.
- Hobart Corporation United States
- Centre for Marine Socioecology Australia
- Centre for Marine Socioecology Australia
- University of Tasmania Australia
- University of Tasmania Australia
Climate Change, Oceans and Seas, 333, Seriola lalandi, citizen science, Animals, global change, Ecosystem, Pacific Ocean, Geography, species distribution model, Data Collection, habitat suitability model, Australia, Community Participation, range shift, Perciformes, climate change, mixed-effects modelling, Research Design, species redistribution, Animal Distribution
Climate Change, Oceans and Seas, 333, Seriola lalandi, citizen science, Animals, global change, Ecosystem, Pacific Ocean, Geography, species distribution model, Data Collection, habitat suitability model, Australia, Community Participation, range shift, Perciformes, climate change, mixed-effects modelling, Research Design, species redistribution, Animal Distribution
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