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Valentine GP, Lu X, Childress ES, Dolloff CA, Hitt NP, Kulp MA, Letcher BH, Pregler KC, Rash JM, Hooten MB, Kanno Y. Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish. Glob Chang Biol 2024; 30:e17029. [PMID: 37987546 DOI: 10.1111/gcb.17029] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/07/2023] [Accepted: 10/07/2023] [Indexed: 11/22/2023]
Abstract
Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad-scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time-series count data (5-28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout, Salvelinus fontinalis), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub-region than in the southern sub-region. Spatial synchrony of trout populations extended to 100-200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub-regions and among local populations within sub-regions, indicating multiple cross-scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape-level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.
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Affiliation(s)
- George P Valentine
- Department of Fish, Wildlife, and Conservation Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
| | - Xinyi Lu
- Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA
| | | | - C Andrew Dolloff
- U.S. Forest Service Southern Research Station, Blacksburg, Virginia, USA
| | - Nathaniel P Hitt
- U.S. Geological Survey Eastern Ecological Science Center, Kearneysville, West Virginia, USA
| | - Matthew A Kulp
- Great Smoky Mountains National Park, Gatlinburg, Tennessee, USA
| | - Benjamin H Letcher
- U.S. Geological Survey Eastern Ecological Science Center, Kearneysville, West Virginia, USA
| | - Kasey C Pregler
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
| | - Jacob M Rash
- North Carolina Wildlife Resources Commission, Marion, North Carolina, USA
| | - Mevin B Hooten
- Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, Texas, USA
| | - Yoichiro Kanno
- Department of Fish, Wildlife, and Conservation Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
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