Asymmetric migration decreases stability but increases resilience in a heterogeneous metapopulation

Limdi, Anurag; Pérez‐Escudero, Alfonso; Li, Aming; Gore, Jeff

doi:10.1038/s41467-018-05424-w

Cited by 24 publications

(22 citation statements)

References 54 publications

(54 reference statements)

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“…Our results are consistent with model projections that predict that dispersal-limited organisms have 250% higher likelihood of going extinct under climate change (Thomas et al, 2004). Higher risk of extinction for dispersal-limited organisms is also supported by microcosm experiments that show that systems that experience dispersal asymmetries have lower tolerance for challenging environments (Limdi, Pérez-Escudero, Li, & Gore, 2018). Therefore, extinction risk may be higher for asymmetric dispersers that are unable to persist under climate change scenarios because their potential for shifts is spatially limited (Sorte, 2013).…”

Section: F I G U R Esupporting

confidence: 87%

Local extinction risk under climate change in a neotropical asymmetrically dispersed epiphyte

et al. 2020

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1. The long-term fate of populations experiencing disequilibrium conditions with their environment will ultimately depend on how local colonization and extinction dynamics respond to abiotic conditions (e.g. temperature and rainfall), dispersal limitation and biotic interactions (e.g. competition, facilitation or interactions with natural enemies). Understanding how these factors influence distributional dynamics under climate change is a major knowledge gap, particularly for small ranged and dispersal-limited plant species, which are at higher risk of extinction. Epiphytes are hypothesized to be particularly vulnerable to climate change and we know little about what drives their distribution and how they will respond to climate change. To address this issue, we leveraged a 10-year dataset on the occupancy dynamics of the endemic orchid Lepanthes rupestris to identify the drivers of local colonization and extinction dynamics and assess the long-term fate of this population under multiple climate change scenarios. 2. We compared 290 dynamic occupancy models in their ability to predict the colonization and extinction dynamics of a L. rupestris metapopulation. The model set predicted colonization-extinction dynamics as a function of asymmetric patch connectivity, moss area, elevation, temperature (minimum, maximum and variability) and/or rainfall. 3. The best model predicted that local colonization increases with increasing asymmetric patch connectivity but decreases as minimum temperature and maximum temperature variability increase. The best model also predicted that local extinction increases with increasing variability in maximum temperature. Negative effects were more severe in smaller patches. 4. Synthesis. Overall, our results demonstrate the role of asymmetric connectivity, climate and interactions with moss area as drivers of colonization and extinction dynamics. Moreover, our results suggest that asymmetrically dispersed epiphytes may struggle to persist under climate change because their limited connectivity may not be enough to counterbalance the negative effects of increasing mean or variability in temperature.

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Section: F I G U R Esupporting

confidence: 87%

Local extinction risk under climate change in a neotropical asymmetrically dispersed epiphyte

et al. 2020

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“…In macroecology, population networks are pervasive in a variety of social and ecological settings such as human settlements connected by transportation routes 3 , oceanic islands connected by migration 4 , and faraway plant populations connected by seed dispersal 5 , 6 . Migration patterns shape the population dynamics on these networks 7 – 9 and can have a profound impact on population stability and persistence 5 , 10 , 11 .…”

Section: Introductionmentioning

confidence: 99%

Migration alters oscillatory dynamics and promotes survival in connected bacterial populations

et al. 2018

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Migration influences population dynamics on networks, thereby playing a vital role in scenarios ranging from species extinction to epidemic propagation. While low migration rates prevent local populations from becoming extinct, high migration rates enhance the risk of global extinction by synchronizing the dynamics of connected populations. Here, we investigate this trade-off using two mutualistic strains of E. coli that exhibit population oscillations when co-cultured. In experiments, as well as in simulations using a mechanistic model, we observe that high migration rates lead to synchronization whereas intermediate migration rates perturb the oscillations and change their period. Further, our simulations predict, and experiments show, that connected populations subjected to more challenging antibiotic concentrations have the highest probability of survival at intermediate migration rates. Finally, we identify altered population dynamics, rather than recolonization, as the primary cause of extended survival.

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“…Microbial populations exhibit heterogenous spatial distributions in natural environments. The spatial organization of a microbiome is a major determinant of systems-level properties including community metabolism and response to environmental perturbations such as antibiotics (22)(23)(24). In biofilms, a predominant form of microbial life in nature (25), the occurrence of intracolony channels can mediate the transfer of molecules to cells that are deeply embedded in the matrix (26).…”

Section: Spatial Organization and Biofilms Are Key Properties Of Microbiome Resiliencementioning

confidence: 99%

Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes

Leggieri

Liu

Hayes

et al. 2021

Annu. Rev. Biomed. Eng.

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Microbiomes are complex and ubiquitous networks of microorganisms whose seemingly limitless chemical transformations could be harnessed to benefit agriculture, medicine, and biotechnology. The spatial and temporal changes in microbiome composition and function are influenced by a multitude of molecular and ecological factors. This complexity yields both versatility and challenges in designing synthetic microbiomes and perturbing natural microbiomes in controlled, predictable ways. In this review, we describe factors that give rise to emergent spatial and temporal microbiome properties and the meta-omics and computational modeling tools that can be used to understand microbiomes at the cellular and system levels. We also describe strategies for designing and engineering microbiomes to enhance or build novel functions. Throughout the review,we discuss key knowledge and technology gaps for elucidating the networks and deciphering key control points for microbiome engineering, and highlight examples where multiple omics and modeling approaches can be integrated to address these gaps. Expected final online publication date for the Annual Review of Biomedical Engineering, Volume 23 is June 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Asymmetric migration decreases stability but increases resilience in a heterogeneous metapopulation

Cited by 24 publications

References 54 publications

Local extinction risk under climate change in a neotropical asymmetrically dispersed epiphyte

Local extinction risk under climate change in a neotropical asymmetrically dispersed epiphyte

Migration alters oscillatory dynamics and promotes survival in connected bacterial populations

Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes

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