obr. 1: Nově vybudovaná tůň, která odvodnila kdysi vlhkou louku a začala zarůstat (foto: Kryštof Chytrý).
1/2 Tůně mohou překypovat životem. Ale také nemusí.
Jejich budování může mít na rostlinná společenstva a ohrožené druhy rostlin neblahé následky.
Více ve stanovisku ČBS, které nově naleznete na našich stránkách.
10.03.2026 05:54
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Thank you, Karen! :)
21.01.2026 13:51
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I saw you there! Thanks for joining, Patrick.
21.01.2026 13:50
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Thanks Tommaso! It’s gonna be some kind of post processing of the dynamic simulation models. Really curious about that.
21.01.2026 13:49
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Thanks, Jonathan! :)
21.01.2026 13:47
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Thanks, Billur :)
20.01.2026 21:53
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Thanks! The job is not yet done and not even my funding, only the PhD 😁. We are now running the final simulations on the Schrankogel and hopefully in the coming months, we will make some really cool papers.
20.01.2026 21:52
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Thanks a lot for those nice words. It was a fun and enlightening discussion indeed. I really enjoyed that you and Bente brought different perspectives to it.
20.01.2026 21:47
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Thank you, Markus!
20.01.2026 09:54
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Thanks Julia :-)
20.01.2026 09:38
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But we made it through, and the lessons learnt were indeed valuable, often changing our perception and views. For instance, the direct role of microclimate temperature on plants is often overestimated; rather than a physiological constraint, it is a trigger to other, much more complex processes.
20.01.2026 09:23
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To our big surprise, fine-scale species distributions turned out to be much more elusive to capture.
Nearly all the data analysis trials we did, we found something unexpected, often pointing to factors that we didn’t measure. This made things quite complicated and papers difficult to publish.
20.01.2026 09:23
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I opted for this all, because I was fascinated by topography. I worked with topography in grasslands before, and scaling to microtopography and microclimate was an attractive challenge.
So the plan was clear: use these fine-scale environmental data to explore how they explain where palnts grow.
20.01.2026 09:23
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We were two PhD students to handle this data, and it clearly became a way of living. For the next 5 years, I have spent around 2 summer months between 2000 and 3500 m a.s.l. having no idea about the date or time. Constantly exploring how bad the weather needs to be to make work impossible.
20.01.2026 09:23
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The idea was so ambitious that it was unclear from the beginning if it was even feasible: to obtain as much fine-scale environmental and vegetation data as possible from one single mountain, permanently fix ~4k plant individuals across the mountain, and transplant another ~4k individuals and more.
20.01.2026 09:23
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Yesterday, I defended my PhD thesis at @univie.ac.at. Thanks @vvandvik.bsky.social and Bente Graae for reviewing it and Stefan Dullinger for supervising.
I tasted quite a bit of science during my Master's by leading 5 papers and doing lots of field research. But this was different. Extraordinary.
20.01.2026 09:23
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Thanks, Rebecca! :-)
21.11.2025 12:23
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The strength of our data is, however, not supposed to be its spatial extent, but its spatial resolution and related sampling density of 900 sites covering a lot of the fine-scale variation of this mountain. Which is a very rare thing. But apparently not easily sold to journals.
12.11.2025 11:20
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Up to now, it wasn't very difficult. But now, the process of getting this published has started. From basically every journal, we got quite nice and often positive constructive feedback, but concerns about the size of the study area, which is only one mountain.
12.11.2025 11:20
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Second, we tried to narrow this diversity down, keeping on mind all to colinearity in these data. It's dificult to put it in 250 words, so just check our paper. ;-)
Eventually we foud out that only 6 variables are enough to model even a quite large number of species. Out of 250!
12.11.2025 11:20
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First, we looked at how they correlate with species distributions, comparing them with Bioclim variables most commonly used for this purpose.
And, a first surprise, they were not doing well at all. That's not a criticism of Bioclim, but for microclimate-based models, they are probably not the best.
12.11.2025 11:20
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Even though we only used soil temperature from our Schrankogel loggers, we reached approximately 250 temperature variables.
12.11.2025 11:20
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The story started sometime in 2023 when I wanted to test if microclimate temperatures are indeed multifaceted as Christian Körner and Erika Hiltbrunner emphasized in their 90 ways to describe plant temperature. doi.org/10.1016/j.pp...
12.11.2025 11:20
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This paper was the most frustrating journey I've ever gone through...
Nevertheless, after nearly two years, the paper is finally published.
12.11.2025 11:20
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Thanks @jlembrechts.bsky.social for this blog post about our new Oikos paper! Love your blog. :-)
12.11.2025 10:56
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How to not be swamped by your microclimate data
Microclimate data are finally finding their way more routineously into ecological models – and rightly so. Hooray for that! The growing availability of in-situ measurements is helping us brid…
How to not be swamped by your microclimate data?
The rise of microclimate data may have opened Pandora’s box. Gone are the days of simple bioclimatic variables — now heads spin trying to summarize these timeseries.
A much-needed paper by @krystofchytry.bsky.social:
🔗 the3dlab.org/2025/11/11/h...
11.11.2025 09:19
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This year we’re, in addition to the regular business, using our fine-scale temperature maps to explore isolated cold spots in lower elevations to see if nival species survive there. Quite dangerous sites these cold spots…
28.06.2025 16:02
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Calf in the middle of alpine road. Foggy mountains behind.
Fieldwork in the Alps. 5th year on the same mountain. Even this calf wonders why are we still doing that.
28.06.2025 15:43
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