Priority effects and the macroevolutionary dynamics of biodiversity

Reijenga, Bouwe R.; Murrell, David J.; Pigot, Alex L.

doi:10.1111/ele.13766

Cited by 14 publications

(12 citation statements)

References 65 publications

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“…This would make immigrants vulnerable to extinction and cause the overrepresentation of recent immigrations with respect to ancient ones. Our study aligns with what appears to be an emerging consensus: incumbency can have evolutionary consequences, but its effects on speciation and morphology are decoupled and its impact can be eclipsed by that of other evolutionary processes (Schenk et al 2013;Rowsey et al 2019Rowsey et al , 2020Reijenga et al 2021).…”

Section: Incumbency Effects In Varanidaesupporting

confidence: 89%

Competition and geography underlie speciation and morphological evolution in Indo‐Australasian monitor lizards

et al. 2021

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How biotic and abiotic factors act together to shape biological diversity is a major question in evolutionary biology. The recent availability of large datasets and development of new methodological approaches provide new tools to evaluate the predicted effects of ecological interactions and geography on lineage diversification and phenotypic evolution. Here, we use a near complete phylogenomic-scale phylogeny and a comprehensive morphological dataset comprising more than a thousand specimens to assess the role of biotic and abiotic processes in the diversification of monitor lizards (Varanidae). This charismatic group of lizards shows striking variation in species richness among its clades and multiple instances of endemic radiation in Indo-Australasia (i.e., the Indo-Australian Archipelago and Australia), one of Earth's most biogeographically complex regions. We found heterogeneity in diversification dynamics across the family. Idiosyncratic biotic and geographic conditions appear to have driven diversification and morphological evolution in three endemic Indo-Australasian radiations. Furthermore, incumbency effects partially explain patterns in the biotic exchange between Australia and New Guinea. Our results offer insight into the dynamic history of Indo-Australasia, the evolutionary significance of competition, and the long-term consequences of incumbency effects.

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Section: Incumbency Effects In Varanidaesupporting

confidence: 89%

Competition and geography underlie speciation and morphological evolution in Indo‐Australasian monitor lizards

et al. 2021

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“…Dispersal is another key process influencing community assembly, which itself can be shaped by local conditions and stochasticity (e.g., order of taxa arrival ;Fukami, 2015;Reijenga et al, 2021). Our earlier study revealed that rapid dispersal could counter legacy effects driven by changes in microbial composition (Wang and Allison, 2021).…”

Section: Co-ordination Of Community Traitsmentioning

confidence: 97%

Climate-Driven Legacies in Simulated Microbial Communities Alter Litter Decomposition Rates

Wang

Allison

2022

Front. Ecol. Evol.

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The mechanisms underlying diversity-functioning relationships have been a consistent area of inquiry in biogeochemistry since the 1950s. Though these mechanisms remain unresolved in soil microbiomes, many approaches at varying scales have pointed to the same notion—composition matters. Confronting the methodological challenge arising from the complexity of microbiomes, this study used the model DEMENTpy, a trait-based modeling framework, to explore trait-based drivers of microbiome-dependent litter decomposition. We parameterized DEMENTpy for five sites along a climate gradient in Southern California, United States, and conducted reciprocal transplant simulations analogous to a prior empirical study. The simulations demonstrated climate-dependent legacy effects of microbial communities on plant litter decomposition across the gradient. This result is consistent with the previous empirical study across the same gradient. An analysis of community-level traits further suggests that a 3-way tradeoff among resource acquisition, stress tolerance, and yield strategies influences community assembly. Simulated litter decomposition was predictable with two community traits (indicative of two of the three strategies) plus local environment, regardless of the system state (transient vs. equilibrium). Although more empirical confirmation is still needed, community traits plus local environmental factors (e.g., environment and litter chemistry) may robustly predict litter decomposition across spatial-temporal scales. In conclusion, this study offers a potential trait-based explanation for climate-dependent community effects on litter decomposition with implications for improved understanding of whole-ecosystem functioning across scales.

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“…Similarly, the complex interactions between plant traits and the movement and behaviour of frugivores have been proposed to influence the speciation of fleshy‐fruited plants (Onstein et al 2017, Sales et al 2021). Additionally, recent findings have emphasized the importance of priority effects and competitive interactions (Rangel et al 2018, Reijenga et al 2021). For instance, Reijenga et al (2021) found that local priority effects drive disparities in richness among evolutionary lineages.…”

Section: Synthesis Of Deep‐time Meemsmentioning

confidence: 99%

“…Additionally, recent findings have emphasized the importance of priority effects and competitive interactions (Rangel et al 2018, Reijenga et al 2021). For instance, Reijenga et al (2021) found that local priority effects drive disparities in richness among evolutionary lineages. Classic macroevolutionary patterns of niche evolution, on the other hand, do not depend on local priority effects, e.g.…”

Section: Synthesis Of Deep‐time Meemsmentioning

confidence: 99%

Coupling eco‐evolutionary mechanisms with deep‐time environmental dynamics to understand biodiversity patterns

Hagen

2022

Ecography

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Pioneer naturalists such as Whewell, Lyell, Humboldt, Darwin and Wallace acknowledged the interactions between ecological and evolutionary forces, as well as the roles of continental movement, mountain formation and climate variations, in shaping biodiversity patterns. Recent developments in computer modelling and paleo‐environmental reconstruction have made it possible for scientists to study in silico how biodiversity emerges from eco‐evolutionary and environmental dynamic processes and their interactions. Simulating emergent biodiversity enables the experimentation of multiple interconnected hypotheses in a largely fragmented scientific landscape, with the final objective of successfully approximating natural mechanisms (i.e. hypothetical spatio–temporally unrestricted generalizations that hold across multiple empirical biodiversity patterns). This new interdisciplinary approach opens unprecedented scientific pathways, facilitating the communication and contemplation of causal implications of complex eco‐evolutionary and environmental interactions. In this review I provide a comprehensive overview of the available population‐based spatially explicit mechanistic eco‐evolutionary models (MEEMs) that rely on paleo‐environmental reconstructions, critically discussing their relevance and limitations for our understanding of biodiversity. To achieve this, I first introduce diverse biodiversity models and contextualize MEEMs. Second, I define MEEMs and synthesize the major insights from studies using MEEMs combined with deep‐time environmental dynamics (> 0.1 Ma). Lastly, I discuss the challenges and perspectives of solving long‐standing biodiversity enigmas by coupling eco‐evolutionary mechanisms with deep‐time environmental dynamics. Studies show that linking dynamic environments and eco‐evolutionary processes is necessary to reproduce multiple large‐scale biodiversity patterns simultaneously. Mechanisms related to adaptations (e.g. niche evolution), dispersal abilities and other eco‐evolutionary interactions (e.g. those resulting in speciation or extinction events) show universal importance, although their signatures across spatial and temporal scales remain largely unknown. Investigations with MEEMS spanning multiple levels of complexity in space and time foster interdisciplinary cooperation across the natural sciences and show promise for solving some of the enigmas in Earth's biodiversity.

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Priority effects and the macroevolutionary dynamics of biodiversity

Cited by 14 publications

References 65 publications

Competition and geography underlie speciation and morphological evolution in Indo‐Australasian monitor lizards

Competition and geography underlie speciation and morphological evolution in Indo‐Australasian monitor lizards

Climate-Driven Legacies in Simulated Microbial Communities Alter Litter Decomposition Rates

Coupling eco‐evolutionary mechanisms with deep‐time environmental dynamics to understand biodiversity patterns

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