Spatiotemporal connectivity dynamics in spatially structured populations

Drake, Joseph; Lambin, Xavier; Sutherland, Chris

doi:10.1111/1365-2656.13783

Cited by 5 publications

(2 citation statements)

References 105 publications

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“…demographic consequences) and gene flow (i.e. evolutionary consequences) and their variation in space and time (Peniston et al 2019, Drake et al 2022a).…”

Section: Discussionmentioning

confidence: 99%

“…The increasing recognition of the importance of considering the influence of demography in dispersal dynamics and their consequences on population dynamics was recently reviewed by Drake et al (2022b) who further emphasize the value of considering the 'demographically-weighted connectivity' (which they define as 'an extended conceptual representation of landscape connectivity that considers, explicitly, the population dynamics and demographics'). It has also been empirically demonstrated that considering connectivity patterns as coming from the spatial structure of a landscape is critical to better understand demographic dynamics of populations (Drake et al 2022a). In addition to demography, we emphasize the relevance of studying the spatial structure of genetic traits of interconnected populations in order to understand the evolutionary and demographic trajectories of local populations.…”

Section: Spatial Configuration Influences Local Populations Evolution...mentioning

confidence: 99%

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The importance of network spatial structure as a driver of eco‐evolutionary dynamics

Lamarins,

Prévost,

Carlson

et al. 2023

Ecography

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Investigating eco‐evolutionary responses of populations to environmental changes requires a solid understanding of the spatial context in which they evolve. While the interplay between local adaptation and dispersal in guiding evolutionary outcomes has been studied extensively, it is often in a context of divergent selection and simplified spatial structure. Alternatively, we used a spatially‐explicit demo‐genetic agent‐based model to simulate a complex network of interconnected populations of Atlantic salmon facing a perturbation shifting their genetic composition to create diversity among populations. Our model allowed us to track emerging demographic, phenotypic, and evolutionary changes from the individual to the metapopulation in a single, spatially realistic framework. We analyzed the influence of the spatial structure of genetic diversity and populations on the evolutionary dynamics under convergent selection (toward a common optimum). Our simulations showed adaptation and demographic recovery of local populations was enhanced by dispersal between initially diverse populations, providing general support for the adaptation network theory. This was particularly true for increased dispersal rates and a random spatial genetic structure. Importantly, our spatially realistic model emphasized that the evolutionary and demographic trajectories of local populations are context‐dependent and can be heavily influenced by the spatial configuration of populations linked by dispersal. Overall, the adaptive capacity of the network depended on the ‘opportunity for adaptation' provided by immigration patterns that emerged from the connectivity structures of the scenarios tested. We highlight the importance of spatial diversity and population structure for the ability of species to respond to environmental change, with implications for management and conservation of spatially structured populations.

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“…demographic consequences) and gene flow (i.e. evolutionary consequences) and their variation in space and time (Peniston et al 2019, Drake et al 2022a).…”

Section: Discussionmentioning

confidence: 99%

Section: Spatial Configuration Influences Local Populations Evolution...mentioning

confidence: 99%

The importance of network spatial structure as a driver of eco‐evolutionary dynamics

Lamarins,

Prévost,

Carlson

et al. 2023

Ecography

View full text Add to dashboard Cite

show abstract

Selection of movement rules to simulate species dispersal in a mosaic landscape model

Gold,

Croft,

Budgey

et al. 2024

Ecological Complexity

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Landscape-scale environmental variables are associated with burrowing crayfish distribution patterns in an Alabama watershed

Bearden,

Tompkins,

Hastert

et al. 2024

Freshwater Science

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Spatiotemporal connectivity dynamics in spatially structured populations

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 5 publications

References 105 publications

The importance of network spatial structure as a driver of eco‐evolutionary dynamics

The importance of network spatial structure as a driver of eco‐evolutionary dynamics

Selection of movement rules to simulate species dispersal in a mosaic landscape model

Landscape-scale environmental variables are associated with burrowing crayfish distribution patterns in an Alabama watershed

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