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#TheoreticalEcology

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🚨 new paper online 🚨

From friend to foe and back: coevolutionary transitions in the mutualism–antagonism continuum

1st author Felix Jäger studied the dynamic nature of biotic interactions and identified an evolutionary #TippingPoint: a gradual change in environmental conditions may lead to an abrupt breakdown of #mutualism to #antagonism, which can‘t be reversed by restoring the initial conditions. 🤯

#TheoreticalEcology
#EcologicalModelling

royalsocietypublishing.org/doi

The program for the #GFÖ2025 / @gfoe conference is finally online! I'm very happy to see a whole session on species interactions and interaction networks! So exciting! 🤩

Btw, I'll attend together with my little coworker and my whole group. Who else is coming? We would love to talk about #Momademia, #TheoreticalEcology, #EcologcialNetworks and #EcoEvoFeedback! 😊

gfoe-conference.de/WEBS/GFOe20

My little #coworker and me got invited to the university of #Osnabrück, as guest speakers for the Maryam Mirzakhani Lecture. We are both very excited, because it’s our first trip by train! Let’s hope I packed enough diapers. And snacks. We need lots of snacks. Btw, the #seminar will be about #TheoreticalEcology and also about how to combine family and research. Let’s hope we’ll give a good example… 🙈

#AcademicParents
#Momademia
#AcademicChatter

Continued thread

🚨 Heads up: today is abstract submission deadline for the @gfoe #conference #GFOE2025! 🚨

My team is planning to contribute 4 amazing talks about the #ecology and #evolution of interaction networks! Additionally, we are planning a little get-together for fellow modellers. So if you consider yourself a (statistical / individual-based / mathematical / whatever) modeller in ecology, then please reach out!!

#TheoreticalEcology
#ComputationalEcology
#EcologicalModelling

gfoe-conference.de/

www.gfoe-conference.deGfÖ Annual Meeting 2025 September 01 to 05, 2025 in Würzburg, Germany

🚨 Heads-up: online registration is now open for the next @gfoe meeting! 🚨

It will take place in Würzburg in the first week of September. I'm planning to come with my whole #ecoevo team, so you can expect some really cool talks about #TheoreticalEcology, #EcologicalNetworks and #EcoEvoFeedback.

Who else is coming? We would love to get in touch!

gfoe-conference.de/
#GFOE2025 #GFOE

www.gfoe-conference.deGfÖ Annual Meeting 2025 September 01 to 05, 2025 in Würzburg, Germany

🚨 New #preprint online! 🚨

From friend to foe and back - Coevolutionary transitions in the mutualism-antagonism continuum

1st author Felix Jäger studied the dynamic nature of biotic interactions and identified an evolutionary #TippingPoint: a gradual change in environmental conditions may lead to an abrupt breakdown of #mutualism to #antagonism, which can‘t be reversed by restoring the initial conditions. 🤯

#TheoreticalEcology
#EcologicalModelling

doi.org/10.1101/2024.09.27.615

bioRxiv · From friend to foe and back - Coevolutionary transitions in the mutualism-antagonism continuumInterspecific interactions evolve along a continuum ranging from mutualism to antagonism. Evolutionary theory so far focused mostly on parts of this continuum, notably on mechanisms that enable and stabilise mutualism. These mechanisms often involve partner discrimination ensuring that interaction intensity is higher with more cooperative partners. However, the gradual trajectory of coevolutionary transitions between mutualism and antagonism remains unclear. Here, we model how discrimination ability in one partner coevolves with cooperativeness in the other and analyse the resulting evolutionary trajectories in the mutualism-antagonism continuum. We show that strong ecological change, such as a radical host shift or colonisation of a new environment, can trigger transitions in both directions including back-and-forth transitions between antagonism and mutualism. Moreover, we find an evolutionary tipping point: a stable mutualism may break down to antagonism if the cost of either mutualistic service or discrimination ability gradually increases above a threshold beyond which this transition cannot be reversed by reducing costs again. Our study provides a new perspective on the evolution of biotic interactions and hence on the dynamic structure of ecological networks. ### Competing Interest Statement The authors have declared no competing interest.

🚨 We are hiring! 🚨

The first of two job postings for a #PhDposition in #TheoreticalEcology is now online. It will be part of a larger, interdisciplinary DFG project that investigates fitness consequences of biotic interactions in various systems. Please boost!

shorturl.at/akqHP

#EcologicalNetworks
#EcologicalModelling
#ComputationalEcology
@ecoevojobs
@phdstudents

www.uni-hohenheim.deJob vacancies: University of HohenheimCurrent job opportunities at the University of Hohenheim

🚨 New #preprint is online! 🚨

"Many weak and few strong links" seems to be a common pattern in many #EcologicalNetworks. We show that this skewness in interaction strengths can enable stabilising effects of network structure. It should hence receive more attention in #TheoreticalEcology and #EcologicalModelling, especially in studies based on random matrices!

(Btw, just in case you are looking for guest speakers, I highly recommend the first author, Franziska Koch! 😉)

doi.org/10.1101/2024.01.25.577

bioRxiv · Skewness enables stabilising effect of hierarchy in complex competition networksIn observed ecological networks of interference-competition, hierarchy has been shown to generate asymmetric patterns of interaction strengths which enhance system stability. However, it remains unknown whether this stabilising effect of competitive hierarchies depends on the distribution of link strengths. Here, we analysed the relationship between interaction strength distributions, patterning, and system stability. We found that the interaction strengths within 30 observed encrusting, marine bryozoan networks were characterised by a high level of skewness, with many weak and few strong links. We showed that this distribution of link strengths is necessary for the stabilising effect of hierarchy, as skewness enables a patterning that strongly reduces the weight of short and long feedback loops. The stabilising effect of hierarchy did not appear in systems with uniform or normal distributions of interaction strengths. This has important ecological implications, since theoretical studies using random matrices often assume normal or uniform distributions. Since skewed interaction strengths are a common feature of ecological networks, including trophic and mutualistic systems, such theoretical approaches might overlook stabilising mechanisms present in living systems. ### Competing Interest Statement The authors have declared no competing interest.