new framework for stochastic eco-evo dynamics of multivariate traits now published at jtb 1 new result on response of G matrices to drift , questioning classical wisdom 2 new tools to make measure-valued processes accessible 3 synthesis of classic multvr quant gen ! enjoi :3
doi.org/10.1016/j.jt...
🗓️Next Tuesday our online seminar speaker is Purushottam Dixit (Yale), presenting:
⭐Niche dimensionality drives microbial community structure⭐
Global Times: www.timeanddate.com/worldclock/f...
Zoom Link: iite.info/seminar/
Free and open to all. See you there!
In our second model, we show that intraspecific trait variance is competitively antifragile under a fluctuating optimal environment, mediated by eco-evolutionary dynamics. However, biomass, productivity, and resilience never benefit from fluctuations in this model. (4/4)
In our first model, we examine under what conditions phytoplankton annual productivity is antifragile with respect to temperature and find that this is true at the community, but not species, level, and under top-down, but not bottom-up, control. (3/4)
We propose that ‘antifragility’, coined by Nassim Taleb, is a great high-level concept for ecologists of all kinds for parsing and communicating the effects of environmental variability. An antifragile property benefits from variability. We explore its use in two mathematical models. (2/4)
Happy to announce new paper with @chrisklausmeier.bsky.social and @elenalitchman.bsky.social in @asn-amnat.bsky.social in their new Inspiring Perspectives category! (1/4)
www.journals.uchicago.edu/doi/10.1086/...
📣Tomorrow our next series of online seminars restarts: Chris Klausmeier (MSU) will present:
⭐Microbial cross-feeding: coexistence and collapse, spatial patterns and population cycles⭐
Free and open to all:
Zoom link: iite.info/seminar/
Global Times: www.timeanddate.com/worldclock/f...
Does availability of juvenile refuge affect size structure of adults? Uszko et al. show that size of streams used as nurseries impacts growth and size structure of lake trout by controlling the strength of cannibalistic mortality and resource competition.
www.journals.uchicago.edu/doi/10.1086/...
Happy to share our new paper! We tested how species evolve in response to #competition. We tracked the evolution of 3 #phytoplankton species, evolved alone or together. Our main finding is that #density-dependence weakens through #evolution to increase population production. doi.org/10.1002/ece3...
We find that even in two highly symmetric models, outcomes are highly idiosyncratic with more available resources sometimes leading to lower evolved consumer diversity for the same trade-off shape. (3/3)
We develop some new tech to deal with high-dimensional resource space, where consumers’ uptake abilities for different resources are traded off against each other. We then assemble communities for different trade-off shapes and dimensionalities, to find when diverse communities evolve. (2/3)
No more competing consumers than there are resources can coexist in equilibrium, but have you ever wondered how many consumers actually evolve as resource diversity increases? In our new paper, @chrisklausmeier.bsky.social and I investigate. (1/3)
www.sciencedirect.com/science/arti...
📆Join us next Tuesday for our online seminar: Hal Caswell (Woods Hole) will present on:
⭐The formal demography of kinship: Demographic stochasticity in the kinship network⭐
Free for all to join!
Zoom Link: iite.info/seminar/
Global Times: www.timeanddate.com/worldclock/f...
NB Euro time shift!
📣Join us next week for the first talk of the year! Virginia Domínguez-García (EBD-CSIC, Seville) will present:
⭐Complex Networks to Understand Persistence in Empirical Plant-Pollinator Communities⭐
Zoom link: iite.info/seminar/
Global Times: www.timeanddate.com/worldclock/f...
See you there!
In our latest paper in PNAS, we ask: How can scientific progress be accelerated to meet the urgent challenges of the Anthropocene? We point to significant barriers in forecasting & prediction efforts for the biosphere 🧵👇 🧪🌎🦋 1/n www.pnas.org/doi/10.1073/...
#ScienceTwitter #Ecology #Anthropocene
Check out our new paper - Life history scaling in a tropical forest. Body size scaling & life history variation drive community structure & dynamics. Using a scaling framework, we quantify how abundance, richness, productivity & environmental variation link across life history strategies 1/n.... 🧪
IITE webinar Anuraag Bukkuri (Moffit Cancer Center): The Polyaneuploid Cancer Cell State and Therapeutic Resistance: Models of State-Structured Populations 2 April, 2024, 9 a.m. Pacific Zoom: liu-se.zoom.us/j/63158449287
IITE webinar
Anuraag Bukkuri (Moffit Cancer Center):
The Polyaneuploid Cancer Cell State and Therapeutic Resistance: Models of State-Structured Populations
2 April, 2024, 9 a.m. Pacific
Zoom: liu-se.zoom.us/j/63158449287
🧪,🌍, #ecoevo
Excited to share our new paper out in Science! We combined simulations, experiments, and field data to show how dispersal simultaneously stabilizes species and genetic diversity, which results in persistent eco-evo dynamics. doi.org/10.1126/scie...
IITE webinar Axel Rossberg (Queen Mary): Ecological Structural Instability everywhere February 20, 2024, 9 a.m. Pacific liu-se.zoom.us/j/63158449287
IITE webinar Axel Rossberg (Queen Mary):
Ecological Structural Instability everywhere
February 20, 2024, 9 a.m. Pacific
liu-se.zoom.us/j/63158449287
🧪,🌍, #ecoevo
Our work ties scalings at different levels of organization to one another and to ecological and evolutionary mechanisms. As these scalings have mostly been studied in isolation, our work points the way towards integrated study for testing the interrelation of scalings. 5/5
When parameterized with micro-scaling exponents our model predicts macro-scaling exponents between zooplankton biomass and phytoplankton biomass, and between phytoplankton mean body mass and biomass that agree remarkably well with observed macro scalings. 4/5
We propagate estimates of micro-scaling exponents and their uncertainty through our model predictions into how state variables scale with nutrient enrichment (A). Estimates of micro-scaling exponents from the literature (B). Model-predicted scalings with enrichment (C, D). 3/5
At the individual level, micro scalings relating to cell size determine many traits (F–I). These scaling relationships constrain eco-evolutionary dynamics (E), from which macro-level scaling relationships emerge across environmental gradients (A–D). 2/5