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#EcologicalModelling

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Dr. Korinna Allhoff<p>Minor revisions! 🎉 </p><p>...and apparently our method to derive competitive interaction strengths from empirical observation is considered "extremely elegant". That's a nice vacation start! 🥳</p><p><a href="https://ecoevo.social/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicChatter</span></a> <br><a href="https://ecoevo.social/tags/TheoreticalEcology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TheoreticalEcology</span></a> <br><a href="https://ecoevo.social/tags/EcologicalModelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EcologicalModelling</span></a> <br><a href="https://ecoevo.social/tags/PeerReview" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PeerReview</span></a> <br><a href="https://ecoevo.social/tags/EcologicalNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EcologicalNetworks</span></a></p><p><a href="https://ecoevo.social/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a> available here: <br><a href="https://doi.org/10.1101/2024.01.25.577181" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1101/2024.01.25.577</span><span class="invisible">181</span></a></p>
Dr. Korinna Allhoff<p>🚨 new paper online 🚨 </p><p>From friend to foe and back: coevolutionary transitions in the mutualism–antagonism continuum</p><p>1st author Felix Jäger studied the dynamic nature of biotic interactions and identified an evolutionary <a href="https://ecoevo.social/tags/TippingPoint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TippingPoint</span></a>: a gradual change in environmental conditions may lead to an abrupt breakdown of <a href="https://ecoevo.social/tags/mutualism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mutualism</span></a> to <a href="https://ecoevo.social/tags/antagonism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>antagonism</span></a>, which can‘t be reversed by restoring the initial conditions. 🤯</p><p><a href="https://ecoevo.social/tags/TheoreticalEcology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TheoreticalEcology</span></a><br><a href="https://ecoevo.social/tags/EcologicalModelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EcologicalModelling</span></a> </p><p><a href="https://royalsocietypublishing.org/doi/10.1098/rspb.2024.2326" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">royalsocietypublishing.org/doi</span><span class="invisible">/10.1098/rspb.2024.2326</span></a></p>
Continued thread
Dr. Korinna Allhoff

🚨 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
Dr. Korinna Allhoff

🚨 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

Ingolf Kühn

NeoBiota neobiota.pensoft.net/ the journal which I have the pleasure and honour of being chief editor for the past 14 years, increased its Scopus CiteScore for the third consecutive year to now 8.1 (the journal's all-time high). This means we are in Q1 of #AnimalScience and #Zoology; #InsectScience; #AquaticScience; Ecology, #Evolution, Behavior and #Systematics; #PlantScience; #Ecology; and #EcologicalModelling.

NeoBiotaNeoBiotaNeoBiota is a peer-reviewed, open access, online journal launched to accelerate research on alien species and biological invasions: aquatic and terrestrial, animals, plants, fungi and micro-organisms. The journal is a continuation of the former NEOBIOTA publication series. NeoBiota publishes papers across all disciplines interested in biological invasions, specifically on the ecology, evolution and biogeography of non-indigenous aquatic and terrestrial animals, plants, fungi and micro-organisms, on mechanisms that drive the introduction, establishment and spread of these species, on ecological, evolutionary, economic and other consequences of biological invasions, and on the management of invasions in any part of the world. The journal also strongly encourages papers on ethical, social, legal and policy issues related to biological invasions.
#AcademicChatter#AcademicPublishing#BiologicalInvasions
Dr. Korinna Allhoff

🚨 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
Dr. Korinna Allhoff

🚨 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

Dr. Korinna Allhoff

🚨 Paper published! 🚨

Our story on joint interaction disinvestment of #plant-#pollinator systems in response to #InsectDecline was accepted at Evolutionary Ecology and is now available online:

doi.org/10.1007/s10682-023-102

I hope you enjoy reading it!

#TheoreticalEcology
#ComputationalEcology
#EcologicalModelling
#AdaptiveDynamics
#OpenAccess

SpringerLinkEco-evolutionary dynamics in two-species mutualistic systems: one-sided population decline triggers joint interaction disinvestment - Evolutionary EcologyThe interplay between ecological and evolutionary dynamics can create feedback that reinforces external disturbances and potentially threatens species’ coexistence. For example, plants might invest less into attracting insect pollinators (decreased flower or nectar production) and more into independence (increased selfing or vegetative reproduction) when faced with pollinator decline. This adaptive response saves plant resources at the cost of further threatening the pollinator population. We ask under which conditions such self-reinforcing feedback occurs in two-species mutualistic systems when considering one-sided population decline and whether it can be counteracted by self-dampening feedback if co-evolution of both interaction partners is considered. Based on a mathematical model and in line with previous studies, we find that the described pattern of accelerated population decline occurs for a wide range of parameter values if a concave allocation trade-off between independent growth and interaction investment is assumed. The undisturbed population typically disinvests first, which then forces the declining population to also disinvest, in favour of other energy sources. However, a decelerated population decline can occur if the adaptation of the undisturbed partner is relatively slow compared to environmental decay, reducing the speed of its disinvestment, or if the initial investment into the interaction was very high. Our results suggest that if actions are taken to save endangered populations, not only the evolution of the target species but also of their interaction partner, as well as the interaction between them should be considered.
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