Institute for Marine and Antarctic Studies, Hobart, Tasmania, Australia.
CSIRO Oceans and Atmosphere, Hobart, Tasmania, Australia.
Glob Chang Biol. 2018 Nov;24(11):5440-5453. doi: 10.1111/gcb.14398. Epub 2018 Aug 1.
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.
气候变化的环境影响预计将导致许多海洋分类群的分布发生转移,但数据通常难以收集。量化和监测物种适宜的环境栖息地是评估物种分布变化的一种实用方法,但在量化海洋系统中气候变化引起的范围转移方面还不够发达。具体来说,栖息地预测为量化时空分布变化提供了机会,同时考虑了自然气候变化的来源。在这里,我们展示了一种基于海洋的栖息地模型的实用性,该模型使用公民科学数据和遥感环境协变量进行参数化,用于量化气候变化热点地区一种沿海洄游鱼类 22 年来的海洋学栖息地适宜性变化。我们的分析考虑了自然内部和年际气候变异性的影响,揭示了核心(94.4 公里/十年)和极区边缘(108.8 公里/十年)海洋学栖息地的快速向极转移。在研究期间,高纬度地区适宜海洋学栖息地的时间持久性也增加了大约 3 个月。我们的方法展示了如何使用海洋公民科学数据来量化范围转移,但需要将重点从物种分布直接转移到物种环境栖息地偏好的分布。