Beyond variance: simple random distributions are not a good proxy for intraspecific variability in systems with environmental structure DOI Creative Commons
Camille Girard‐Tercieux, Ghislain Vieilledent, Adam Thomas Clark

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Авг. 6, 2022

Abstract The role of intraspecific variability (IV) in shaping community dynamics and species coexistence has been intensively discussed over the past decade modelling studies have played an important that respect. However, these often implicitly assume IV can be represented by independent random draws around speciesspecific mean parameters. This major assumption largely remained undiscussed, although a great part observed is structured space or time, particular when environmental dimensions influence individual performance are imperfectly characterised unobserved field. To test impact this strong on outcome models, we designed simulation experiment where varied level knowledge environment virtual communities, resulting different relative importance explained vs unexplained spatial variation performance. We used simulator to generate communities is, not, added as unstructured noise. Communities simulated with never reached diversity composition those all was (perfect model). highlights incorporating ( i.e . noise) account for (but structured) lead incorrect simulations dynamics. In addition, effects depended IV, environment, which may partly explain contrasting results previous effect coexistence. particular, positive proportion model low, but negative high. because noise either limit competitive exclusion inferior competitors low destabilise tight niche partitioning high dimension. Our study suggests it crucial sources structure real better understand its assembly properly include models.

Язык: Английский

Beyond variance: simple random distributions are not a good proxy for intraspecific variability in systems with environmental structure DOI Creative Commons
Camille Girard‐Tercieux, Ghislain Vieilledent, Adam Thomas Clark

и другие.

Peer Community Journal, Год журнала: 2024, Номер 4

Опубликована: Март 11, 2024

The role of intraspecific variability (IV) in shaping community dynamics and species coexistence has been intensively discussed over the past decade modelling studies have played an important that respect. However, these often implicitly assume IV can be represented by independent random draws around species-specific mean parameters. This major assumption largely remained undiscussed, although a great part observed is structured space or time, particular when environmental dimensions influence individual performance are imperfectly characterised unobserved field. To test impact this strong on outcome models, we designed simulation experiment where varied level knowledge environment virtual communities, resulting different relative importance explained vs unexplained spatial variation performance. We used simulator to generate communities is, not, added as unstructured noise. Communities simulated with never reached diversity composition those all was (perfect model). highlights incorporating (i.e. noise) account for (but structured) lead incorrect simulations dynamics. In addition, effects depended IV, i.e. environment, which may partly explain contrasting results previous effect coexistence. particular, positive proportion model low, but negative high. because noise either limit competitive exclusion inferior competitors low destabilise tight niche partitioning high dimension. Our study suggests it crucial sources structure real better understand its assembly properly include models.

Язык: Английский

Процитировано

0

Quantifying the intra- and inter-species community interaction in a microbiome by dynamic covariance mapping DOI Creative Commons
Adrian W.R. Serohijos, Melis Gencel, Cang Hui

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 21, 2024

Abstract A microbiome’s composition, stability, and response to perturbations is dictated by the community interaction matrix 1-10 that commonly assayed pair-wise species competition. In their natural environment however, microbes concurrently experience multiple species, face conditions may be difficult mimic in vitro, have members are impractical isolate. Additionally, due overlapping of evolutionary ecological timescales, also influenced intra-species diversity, but how what extent remains poorly understood 11-14. Here, we develop a general approach called Dynamic Covariance Mapping (DCM) estimate multispecies microbiome its from abundance time-series data. Together with high-resolution lineage tracking via chromosomal barcoding, quantify inter- during E. coli colonization mice gut increasing complexity: germ-free, antibiotic-perturbed, innate microbiota. With DCM, differentiate three temporal phases invasion susceptible communities: 1) initial loss stability as enters; 2) recolonization some bacteria; 3) recovery clones coexisting resident bacteria quasi-steady state. These specific interactions between sub-lineages other community. results highlight transient nature time-dependence networks microbiomes driven persistent coupling dynamics. Our theoretical experimental can applied characterize coupled ecological-evolutionary dynamics bacterial communities vitro situ.

Язык: Английский

Процитировано

0

The role of intraspecific trait variation in driving post‐metamorphic survival: Implications for recruitment in open populations DOI Creative Commons
Luis Giménez, Stuart R. Jenkins

Ecology and Evolution, Год журнала: 2024, Номер 14(8)

Опубликована: Авг. 1, 2024

Abstract Most ecological studies attempting to understand causes of population dynamics and community structure disregard intraspecific trait variation. We quantified the importance natural intra‐cohort variation in body size density juveniles for recruitment a sessile marine organism, barnacle Semibalanus balanoides . Barnacles are representative species organised metapopulations, that is, as open local populations connected by larval dispersal. tracked individual growth survival cohort juvenile barnacles from two shores North Wales. settled larvae spring 2002 on previously cleared rock. The these new recruits was experimentally manipulated June randomly selected individuals were monitored October evaluate role predicting survival. In doing so we characterised at three spatial scales (quadrat: 25 cm 2 , cells within quadrats: mm neighbourhood: number neighbours physical contact with target barnacle). At all scales, variations exacerbated effect density‐dependent mortality size. While very intense small‐sized individuals, large‐sized experienced weak showed high rates. Using concept ‘Jensen inequality’, show important biases estimations survival, based only, occur densities, where is low. Our study highlights understanding populations.

Язык: Английский

Процитировано

0

Habitat fragmentation drives pest termite risk in humid, but not arid, biomes DOI
Donghao Wu, Cong Liu, Fernanda S. Caron

и другие.

One Earth, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0

Beyond variance: simple random distributions are not a good proxy for intraspecific variability in systems with environmental structure DOI Creative Commons
Camille Girard‐Tercieux, Ghislain Vieilledent, Adam Thomas Clark

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Авг. 6, 2022

Abstract The role of intraspecific variability (IV) in shaping community dynamics and species coexistence has been intensively discussed over the past decade modelling studies have played an important that respect. However, these often implicitly assume IV can be represented by independent random draws around speciesspecific mean parameters. This major assumption largely remained undiscussed, although a great part observed is structured space or time, particular when environmental dimensions influence individual performance are imperfectly characterised unobserved field. To test impact this strong on outcome models, we designed simulation experiment where varied level knowledge environment virtual communities, resulting different relative importance explained vs unexplained spatial variation performance. We used simulator to generate communities is, not, added as unstructured noise. Communities simulated with never reached diversity composition those all was (perfect model). highlights incorporating ( i.e . noise) account for (but structured) lead incorrect simulations dynamics. In addition, effects depended IV, environment, which may partly explain contrasting results previous effect coexistence. particular, positive proportion model low, but negative high. because noise either limit competitive exclusion inferior competitors low destabilise tight niche partitioning high dimension. Our study suggests it crucial sources structure real better understand its assembly properly include models.

Язык: Английский

Процитировано

1