The macro-eco-evolutionary interplay between dispersal, competition and landscape structure in generating biodiversity

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1907)

Published: June 24, 2024

Theory links dispersal and diversity, predicting the highest diversity at intermediate levels. However, modulation of this relationship by macro-eco-evolutionary mechanisms competition within a landscape is still elusive. We examine interplay between dispersal, structure in shaping biodiversity over 5 million years dynamic archipelago landscape. model allopatric speciation, temperature niche, competition, trait evolution trade-offs competitive traits. Depending on abilities their interaction with structure, our exhibits two ‘connectivity regimes’, that foster speciation events among same group islands. Peaks (i.e. alpha, gamma phylogenetic), occurred dispersal; while shifted peaks towards higher values for each connectivity regime. This shift demonstrates how can boost through thermal specialists, ultimately limiting geographical ranges. Even simple landscape, multiple relationships emerged, all shaped similarly according to strength. Our findings remain valid as dispersal- competitive-related traits evolve trade-off; potentially leaving identifiable signatures, particularly when are imposed. Overall, we scrutinize convoluted species interactions processes, lasting imprints biodiversity. article part theme issue ‘Diversity-dependence dispersal: interspecific determine spatial dynamics’.

Language: Английский

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Dispersal evolution and eco-evolutionary dynamics in antagonistic species interactions

Trends in Ecology & Evolution, Journal Year: 2024, Volume and Issue: 39(7), P. 666 - 676

Published: April 17, 2024

Language: Английский

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Integrating ecological feedbacks across scales and levels of organization

Ecography, Journal Year: 2024, Volume and Issue: unknown

Published: April 30, 2024

In ecosystems, species interact in various ways with other species, and their local environment. addition, ecosystems are coupled space by diverse types of flows. From these links connecting different ecological entities can emerge circular pathways indirect effects: feedback loops. This contributes to creating a nested set feedbacks operating at organizational levels as well spatial temporal scales systems: organisms modifying being affected abiotic environment, demographic behavioral within populations communities, occurring the landscape scale. Here, we review how vary time, discuss emergent properties they generate such coexistence or heterogeneity stability systems. With aim identifying similarities across scales, identify biotic modulators that change sign strength loops show time. Our shows despite acting emerging from processes, similar macroscopic systems organization. Ultimately, our contribution emphasizes need integrate improve understanding joint effects on dynamics, patterns,

Language: Английский

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Evolutionary ecology of dispersal in biodiverse spatially structured systems: what is old and what is new?

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1907)

Published: June 24, 2024

Dispersal is a well-recognized driver of ecological and evolutionary dynamics, simultaneously an evolving trait. evolution has traditionally been studied in single-species metapopulations so that it remains unclear how dispersal evolves metacommunities metafoodwebs, which are characterized by multitude species interactions. Since most natural systems both species-rich spatially structured, this knowledge gap should be bridged. Here, we discuss whether from ecology established holds metafoodwebs highlight generally valid fundamental principles. Most biotic interactions form the backdrop to theatre for play because mediate patterns fitness expectations across space time. While allows simple transposition certain known principles multispecies context, other drivers may require more complex transpositions, or might not transferred. We important quantitative modulator evolution—increased trait dimensionality biodiverse meta-systems—and additional driver: co-dispersal. speculate scale selection pressure mismatches owing co-dispersal, together with increased dimensionality, lead slower ‘diffuse’ meta-systems. Open questions potential consequences terms call investigation. This article part theme issue 'Diversity-dependence dispersal: interspecific determine spatial dynamics'.

Language: Английский

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The Anthropocene and the biodiversity crisis: an eco-evolutionary perspective

Comptes Rendus Biologies, Journal Year: 2025, Volume and Issue: 348(G1), P. 1 - 20

Published: Jan. 9, 2025

A major facet of the Anthropocene is global change, such as climate caused by human activities, which drastically affect biodiversity with all-scale declines and homogenization biotas. This crisis does not only ecological dynamics biodiversity, but also its evolutionary dynamics, including genetic diversity, an aspect that generally neglected. My tenet therefore to consider from eco-evolutionary perspective, i.e. explicitly accounting for possibility rapid evolution feedback on processes environment. I represent impact various avatars change in a temporal pre-industrial time near future, allowing visualize their set desired values should be trespassed given (e.g., +2 °C 50 years now). After presenting stressors change) this representation used heuristically show relevance perspective: (i) analyze how will respond stressors, example seeking out more suitable conditions or adapting new conditions; (ii) serve predictive exercises envision future (decades centuries) under stressor impact; (iii) propose nature-based solutions crisis. Significant obstacles stand way development approach, particular general lack interest intraspecific perhaps understanding that, we, humans, are modest part biodiversity. Supplementary Materials: material article supplied separate file: crbiol-172-suppl.pdf Un majeur de l'Anthropocène est le changement global, par exemple climatique, qui causé les activités humaines et conduit à un déclin drastique la biodiversité une homogénéisation des écosystèmes. Cette crise n'affecte pas seulement dynamique écologique biodiversité, mais également sa évolutive, y compris diversité génétique, généralement négligé. Il donc nécessaire considérer d'un point vue éco-évolutif, c'est-à-dire en tenant compte explicitement possibilité d'une évolution rapide rétroaction sur processus écologiques l'environnement. Je représente l'impact différents du dans perspective temporelle, l'époque préindustrielle au futur proche, ce permet visualiser leur fixer valeurs souhaitables ne dépasser pour période donnée (par exemple, ans). Après avoir présenté divers facteurs stress climatique) cette représentation utilisée montrer pertinence éco-évolutive : analyser comment répondra aux environnementaux, recherchant plus appropriées ou s'adaptant nouvelles ; servir exercices prédictifs afin d'envisager dynamiques futures (décennies siècles) sous ces proposer fondées nature. reste importants voie développement telle approche, particulier manque d'intérêt général intraspécifique, peut-être compréhension fait que nous, humains, sommes qu'une modeste partie biodiversité. Compléments Des compléments sont fournis cet fichier séparé

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Landscape structure as a driver of eco-evolution in host–parasite systems

Evolution Letters, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Abstract Spatial network structure of biological systems drives ecology and evolution by distributing organisms their genes. The ubiquitous host–parasite are no exception. However, past theoretical work has largely focused on simple spatial structures, such as grids, hampering the translation predictions to real ecosystems. Thus, we develop an eco-evolutionary metapopulation model dynamics where hosts parasites disperse through realistically complex networks representing major biomes using river-like terrestrial-like networks. We generate testable prediction that parasite virulence, or how harm hosts, peaks at intermediate dispersal values in while it increases with increasing systems. In systems, virulence also reaches higher overall values. Moreover, show kin selection is main driver evolution. characteristic patterns relatedness which drive differential Finally, accounting for allows us predict distribution key epidemiological variables (e.g., extinction risks) within Our study highlights feedbacks can be understood light linking topology classical evolutionary mechanisms selection.

Language: Английский

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Range of trait variation in prey determines evolutionary contributions to predator growth rates

Journal of Evolutionary Biology, Journal Year: 2024, Volume and Issue: 37(6), P. 693 - 703

Published: May 18, 2024

Evolutionary and ecological dynamics can occur on similar timescales thus influence each other. While it has been shown that the relative contribution of evolutionary change to population vary, still remains unknown what influences these differences. Here, we test whether prey populations with increased variation in their defence competitiveness traits will have a stronger impact evolution for predator growth rates. We controlled trait by pairing distinct clonal lineages green alga Chlamydomonas reinhardtii known as rotifer Brachionus calyciforus compared those results mechanistic model matching empirical system. measured (shift frequency) ecology density) rate its dependency using an approach based 2-way ANOVA. Our experimental indicated higher variation, i.e., greater distance space, over 3-4 generations, which was also observed simulations spanning longer time periods. In our model, clone-specific results, where more competitive undefended resulted contribution, independent distance. suggest combinations total combine dynamics, be used identify better predict role eco-evolutionary predator-prey systems.

Language: Английский

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Eco-evolutionary dynamics for finite populations and the noise-induced reversal of selection

The American Naturalist, Journal Year: 2024, Volume and Issue: unknown, P. 000 - 000

Published: Sept. 18, 2024

AbstractTheoretical studies from diverse areas of population biology have shown that demographic stochasticity can substantially impact evolutionary dynamics in finite populations, including scenarios where traits are disfavored by natural selection nevertheless increase frequency through the course evolution. Here, we analytically describe eco-evolutionary populations first principles. We investigate how noise-induced effects alter fate which total size may vary stochastically over time. Starting a generic birth-death process, derive set stochastic differential equations (SDEs) individuals bearing discrete traits. Our recover well-known descriptions dynamics, such as replicator-mutator equation, Price and Fisher's fundamental theorem infinite limit. For our SDEs reveal predictably bias trajectories to favor certain traits, phenomenon call "noise-induced biasing." show biasing acts two distinct mechanisms, "direct" "indirect" mechanisms. While direct mechanism be identified with classic bet-hedging theory, indirect is more subtle consequence frequency- density-dependent stochasticity. lead evolution proceeding direction opposite predicted By extending generalizing some standard genetics, thus appears alongside, interacts with, well-understood forces neutral drift determine nonconstant size.

Language: Английский

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Species interactions and eco-evolutionary dynamics of dispersal: the diversity dependence of dispersal

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1907)

Published: June 24, 2024

Dispersal plays a pivotal role in the eco-evolutionary dynamics of spatially structured populations, communities and ecosystems. As an individual-based trait, dispersal is subject to both plasticity evolution. Its dependence on conditions context well understood within single-species metapopulations. However, species do not exist isolation; they interact locally through various horizontal vertical interactions. While significance interactions recognized for coexistence food web functioning, our understanding their influence regional dynamics, such as impact spatial metacommunities meta-food webs, remains limited. Building upon insights from behavioural community ecology, we aim elucidate biodiversity driver outcome connectivity. By synthesizing conceptual, theoretical empirical contributions global experts field, seek explore how more mechanistic diversity–dispersal relationships influences distribution temporally changing environments. Our findings highlight importance explicitly considering interspecific drivers dispersal, thus reshaping fundamental including emergent meta-ecosystems. We envision that this initiative will pave way advanced forecasting approaches under pressures change. This article part theme issue ‘Diversity-dependence dispersal: determine dynamics’.

Language: Английский

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A gene-regulatory network model for density-dependent and sex-biased dispersal evolution during range expansions

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 19, 2023

Abstract Dispersal is key to understanding ecological and evolutionary dynamics. may itself evolve exhibit phenotypic plasticity. Specifically, organisms modulate their dispersal rates in response the density of conspecifics (density-dependent dispersal) own sex (sex-biased dispersal). While optimal plastic responses have been derived from first principles, genetic molecular basis plasticity has not modelled. An architecture especially relevant for evolution during rapidly changing spatial conditions such as range expansions. In this context, we develop an individual-based metapopulation model density-dependent sex-biased We represent trait a gene-regulatory network (GRN), which can take population individual’s input analyse emergent contextand condition-dependent responses. compare dynamics GRN standard reaction norm (RN) approach under equilibrium find that conditions, produces shapes match theoretical expectation RN model. However, expansion, leads faster expansion because GRNs maintain higher adaptive potential. Our results imply that, order understand eco-evolutionary contemporary time, traits must be taken into account.

Language: Английский

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