Tanya Strydom

Tanya Strydom

@tanyadoesscience.bsky.social

🇿🇦 | postdoc | food web weaver 🕸 (now with bonus 🦖) | fancy maths 🧮 | part-time doodler 🎨 | warm beverage fan ☕️ | she/they 💬 | 🏠 https://tanyadoesscience.com

167 followers138 following68 posts

I promise cute doodles and(maybe) some pondering as to the assumptions we make when we construct networks! 🎨🕸️

📣Next Tuesday, our online seminar speaker will be Tanya Strydom (Sheffield) @tanyadoesscience.bsky.social , presenting: ⭐Take a Byte: How the (En)Codification of Food Webs Impacts Inference⭐ Free+open to all! Zoom link: liu-se.zoom.us/j/63158449287 Global Times: www.timeanddate.com/worldclock/f...

Me (after having spent ~2 days on a slide deck, including colour palette specific re-rendering of images and figures): I have the desire to rework my colour palette 🙃🙃🙃

Me: yeah I’m just not feeling the #wc2026 vibes this year Also Me: is obsessed with the typeface used for the Norway kit. 🇳🇴 Imma need journals to get real chill real quick about non standard typefaces…

🚨📄 NEW PREPRINT ALERT 🚨📄 🌐 Are we mapping ecosystems… or just mapping models? 🤔 We took ONE Jurassic fossil community 🦑🐚🐟 and built food webs SIX different ways. The result? 😳 The way you build the network can matter MORE than the change you're trying to study. 🔗 doi.org/10.32942/X2X... 👇

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🚨📄 NEW PREPRINT ALERT 🚨📄 🌐 Are we mapping ecosystems… or just mapping models? 🤔 We took ONE Jurassic fossil community 🦑🐚🐟 and built food webs SIX different ways. The result? 😳 The way you build the network can matter MORE than the change you're trying to study. 🔗 doi.org/10.32942/X2X... 👇

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And here's the bit that made us do a double take 😳 The reconstruction method explained MORE variation in network structure than the extinction event itself. Read that again. 🫠 The modelling framework had a bigger effect on the inferred food web than the ecological turnover we were studying.

Before anyone panics 😅 This doesn't mean food web models are bad. It means they're hypotheses. Every reconstruction method encodes a different view of how interactions happen 🧠 Trait constraints 🦷

 Energetics ⚡ 
Topology 📈 They're answering slightly different questions.

🚨📄 NEW PREPRINT ALERT 🚨📄 🌐 Are we mapping ecosystems… or just mapping models? 🤔 We took ONE Jurassic fossil community 🦑🐚🐟 and built food webs SIX different ways. The result? 😳 The way you build the network can matter MORE than the change you're trying to study. 🔗 doi.org/10.32942/X2X... 👇

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🍽️ Question 2: Do they predict the same species interactions? Also nope. Even when two methods produced networks that looked structurally similar... ...they often disagreed about who eats who 😬 So similar-looking food webs can hide very different ecological stories underneath.

💀 Question 3: Do they identify the same drivers of extinction? Again: 🚫 Not really. Different network reconstructions pointed to different mechanisms of collapse and recovery. Same fossils.
 Same species.
 Different stories.

🚨📄 NEW PREPRINT ALERT 🚨📄 🌐 Are we mapping ecosystems… or just mapping models? 🤔 We took ONE Jurassic fossil community 🦑🐚🐟 and built food webs SIX different ways. The result? 😳 The way you build the network can matter MORE than the change you're trying to study. 🔗 doi.org/10.32942/X2X... 👇

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Most studies ask: 💀 How did food webs change in an extinction event? We flipped the question 🔄 We took a marine community spanning the Early Toarcian extinction (~183 million years ago) And asked: If we reconstruct the food web 6 different ways... Do we reach the same conclusions? (Spoiler: lol no)

📊 Question 1: Do the networks actually look different? Yep. Very much so. Different reconstruction methods produced completely different food-web structures 😵‍💫 BUT Methods built on *similar* underlying ideas tended to cluster together 👯 (ADBM 🤝 ATN) So the assumptions matter.

🚨📄 NEW PREPRINT ALERT 🚨📄 🌐 Are we mapping ecosystems… or just mapping models? 🤔 We took ONE Jurassic fossil community 🦑🐚🐟 and built food webs SIX different ways. The result? 😳 The way you build the network can matter MORE than the change you're trying to study. 🔗 doi.org/10.32942/X2X... 👇

Ecologists love networks 🕸️ But here's the thing: There are LOTS of ways to build them. Traits 🦷
 Energetics ⚡
 Or just plain topology 📈 And each one comes with different assumptions🔧 We wanted to know: 👉 If we build the same ecosystem differently... do we get the same story?

It’s been so cool to follow the work coming from @gabdans.bsky.social. Awesome to see someone pushing the field into the applied space and being intentional about thinking about the end use of the cool science that we do!

ÉPICBiodiversity@epic-biodiversity.org

Information about species interactions is very scarce! In a new preprint, @gabdans.bsky.social shows that the methodology that enables biodiversity monitoring and reporting also supports the detection of species interactions, leading to multi-use monitoring. epic-biodiversity.org/blog/2026/05...

Sending love to 6-year-old me who was obsessed with dinosaurs 🦖🦕 Quick science PSA: not actually dinosaurs LOL — Permian marine communities 😂🙈 (Science accuracy > vibes) Still wild to be studying deep time like this... 🥹✨

🚨 NEW MUD DINOSAUR SCIENCE 🦕☄️ Obsessed with seeing networks being built, smashed and stress-tested with real data - not just debated from the sidelines 👀 (self-aware self-own 🙋). 🚀 Paleoecology leveled ⬆️. Big questions + awesome squad → measurable, mind-blowning results 🤯 Here’s what went down 👇✨

Prof Alex Dunhill@profalexdunhill.bsky.social

🚨New preprint out @biorxivpreprint.bsky.social (under review elsewhere!) 🧵 No global collapse of food webs across the Permian–Triassic Mass Extinction (PTME) www.biorxiv.org/content/10.6...

Preprint alert 🚨 (yes, I still go online, shocker) Scaling from Metawebs to Realised Webs: A Hierarchical Approach to Network Ecology TL;DR: Networks are like… weirdly finicky and if you want your network analysis to not be a sad chaos, check this preprint: [https://doi.org/10.32942/X2JW8K] 🏠💻

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Preprint alert 🚨 (yes, I still go online, shocker) Scaling from Metawebs to Realised Webs: A Hierarchical Approach to Network Ecology TL;DR: Networks are like… weirdly finicky and if you want your network analysis to not be a sad chaos, check this preprint: [https://doi.org/10.32942/X2JW8K] 🏠💻

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3️⃣ Explicit assumptions are essential for evaluation: If you don’t know what assumptions went into making your network, you’re basically guessing 🎲❌🌱. Spell them out ✍️📝 so your analysis isn’t just chaos in disguise ⚡🕸️.

4️⃣ A unified framework improves application and progress: We built something of a 'network GPS' 🗺️🕸️ to help pick the right network for the right question. This keeps everyone from getting lost in the jungle of misinterpretation 🌳😵‍💫 and makes progress actually progress 📈🚀.

Preprint alert 🚨 (yes, I still go online, shocker) Scaling from Metawebs to Realised Webs: A Hierarchical Approach to Network Ecology TL;DR: Networks are like… weirdly finicky and if you want your network analysis to not be a sad chaos, check this preprint: [https://doi.org/10.32942/X2JW8K] 🏠💻

1️⃣ Network representations encode different processes: Different networks = different vibes. Some networks are about who eats who 🍴🦌🦅, some are about who hangs out with whom 🫂🌿. Knowing the network’s 'personality' is key to asking the right questions 🧠✨.

2️⃣ Network representations are not interchangeable: There’s no one-size-fits-all 🤷‍♀️🧢. Your favorite network might be great for unicorns 🦄 but terrible for horses 🐴. Pick your network like you pick your Netflix shows 🍿📺—what you’re actually trying to watch.

Tanya Strydom reposted

Happy to announce the next edition of the @sortee.bsky.social Workshop & Webinar series on October 27 at 16:00UTC, ‘The Risks and Rewards of Large Language Models in (open) Scientific Research’ with @tanyadoesscience.bsky.social !! Sign up here: events.humanitix.com/sortee-webin...

events.humanitix.comSORTEE Webinar: The Risks and Rewards of Large Language Models in (Open) Scientific ResearchSORTEE Workshop & Webinar Series

They've done it again... This time with adding (unnecessary) visual detail to the zero commit days. Inconsolable 😭😭😭

Tanya Strydom@tanyadoesscience.bsky.social

I feel like GitHub has (very subtly) modified the gradient they use for ones contributions calendar... I am going to need 2-4 business days to come to terms with this…

Tanya Strydom reposted

Current me: Right I’ve said yes to this review I’m going to get it done in the next few days and submit my comments nice and early Me in a fortnight: Submitting my review the day before the deadline counts as early right?

The dream TBH…

gavin jones@ecologyofgavin.bsky.social

Love doing science but hate all the meetings? Clear your calendar by becoming Secluded Academic! Retire to your study and don’t emerge or discuss your ideas with anyone for 12-15 years at a time! Publish 1 magnum opus at the end of your career but make everyone wonder if you’re still alive!