Fostering growth in The 3D Lab: insights from our interactive sessions

The 3D Lab is a dynamic team of young scientists, brought together by their shared enthusiasm for exploring scientific topics under my guidance. Currently, the team comprises one postdoc, one PhD student, and several master and bachelor students. For many, this is their first real experience with science, and I am deeply committed to making it as inspiring and impactful as possible.

A key feature of our lab is a series of voluntary sessions—usually held weekly—that cover various topics essential for budding scientists. These sessions are designed to empower team members with practical skills and critical insights into the scientific process. They fall into three main categories:

  1. Teamwork: Sharing findings, participating in journal clubs, “shut up and write” sessions, expert talks, and collaborative brainstorming.
  2. Statistics and coding: From introductions to R and Python to advanced topics like the Tidyverse, linear mixed models, and data visualization in R.
  3. The scientific process: Career prospects, paper writing, peer review, research design, and even hands-on fieldwork sessions – everything that makes you a scientist.

Most sessions (apart from fieldwork, obviously) are conducted online to accommodate diverse schedules, with recordings made available afterwards for key topics like R tutorials that students might need at a later point in their work. Interactivity is a priority—students share their input, collaborate, and learn from each other.

What topics do students value most?

Twice a year, I survey lab members (both new and returning) to understand their preferences for upcoming sessions. While I don’t strictly follow the voting results—sometimes students aren’t aware of what they need, I must admit—it provides valuable insights into their priorities. I thought to share those insights with you as well, as there might be others interested to learn about what students want!

Here’s what stood out in our latest poll:

Summary of the topical votes for the latest round. Students can vote for as many as they want, and their top 3 gets double points. If you want to know more details about some of these sessions not discussed below, let me know!

1. Statistics & coding: practical tools they crave

Unsurprisingly, sessions on the Tidyverse, figure creation in R, and linear mixed models consistently top the list. These workshops address gaps in the curriculum and equip students to handle real-world research challenges, and are really aligned with the ecological research they’ll be doing with me:

  • Tidyverse: essential for cleaning messy data and merging datasets—tasks they frequently encounter in our projects. Our groups’ PhD researcher, Stijn, has developed an excellent tool to guide them through these processes.
  • Figure making: A collaborative, creative session where we refine their data visualization skills together.
  • Linear Mixed Models: Building confidence to transition from theory to application on real datasets.

2. The scientific process: navigating uncertainty

The most popular session this year in the wishlists was the discussion on career prospects, perhaps as a reflection of the concerns young scientists might have about the competitive academic job market and the need to explore non-academic opportunities – which remain often hard to find.

Other popular sessions in this category include how to write a paper and how to design a research question. I’m continuously enhancing these sessions to be more interactive, allowing students to exchange tips, insights, and experiences, which creates an engaging and collaborative learning environment.

Finally, my aspiring ecologists are always eager to get into the field, joining colleagues on projects to explore nature and gain hands-on experience. These fieldwork sessions not only immerse them in exciting research but also provide invaluable support for each other in collecting sometimes tedious or complex data. Students awaiting their summer expeditions to Scandinavia often jump at the chance to participate in local fieldwork projects in the Netherlands during spring, building both skills and camaraderie.

3. Teamwork

Students value sessions where we discuss the latest research in their field. While journal clubs and paper presentations (IRead) are less popular—likely due to time constraints or hesitation as early-career scientists to come up with strongly founded opinions—they’re highly enthusiastic for:

  • Expert talks: Learning from guest speakers.
  • SciUpdates: Hearing my latest updates on the research in the field, followed by lively discussions to inspire new perspectives.

Based on their feedback, I plan to expand our sessions further to include e.g., spatial data analysis in R. As a final note: these sessions remain entirely optional, supplementing our mandatory biweekly lab meetings where we discuss progress and shared concerns.

I’m curious to hear from others running young labs! What kinds of sessions have been successful in your teams? How do you balance student interests with essential skills they might not yet recognize as priorities? Are there ideas here that you’d like to adopt?

The northern Scandinavian part of last years’ team
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Fieldwork time!

It’s fieldwork time again! We have started to enjoy some cold, grey and dark days in the Dutch mud the last weeks, for our new project on the scale at which biodiversity varies (more on that here).

Fieldwork in December, you might ask? Isn’t that by far the worst period to look at plant biodiversity? Oh, I can tell you, it is! The Dutch vegetation is looking pretty drabby at the moment – few hooray-moments about Dutch biodiversity, I must tell – and it’s also lacking quite a lot of its distinct features that facilitate identification.

First destination of our ambitious long-term biodiversity monitoring campaign tackles the biodiversity on the university campus itself: how much biodiversity manages to survive in between the buildings?

There are, however, two good reasons to go out into the field now. The first one is a very pragmatic one – I have a bunch of student interns for a short period of time that should do some fieldwork for their project.

The second one is a scientific one, though: we are interested not only in the spatial scale at which biodiversity varies, but also in the temporal scale: how much variation do you see in the same plot throughout the year and between years? How often should you monitor a plot to actually find all the species? What’s the period of highest diversity in a plot?

Biodiversity (and microclimate!) monitoring in the Netherlands during December may not be the most glamorous task, but what you see in the picture reflects the diversity we have—and that’s exactly why we monitor it!

Important questions with strong implications for the way we are tracking biodiversity changes, so you should be grateful for us braving the Dutch mud to find out!

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Ten practical guidelines

One of the biggest dreams when we started the SoilTemp project was not only to bring together all available microclimate data into a single, unified database but also to align how we think about and measure microclimate. Today, we are excited to share a major step toward achieving that goal: our new paper, Ten practical guidelines for microclimate research in terrestrial ecosystems, is now published in Methods in Ecology and Evolution.

This paper provides exactly what every graduate student and researcher in ecology and biogeography has been waiting for: a comprehensive guide on everything you need to consider when integrating microclimate monitoring into your research. From defining why you need microclimate data, to determining what and where to measure, and deciding on how and when to collect your data, this paper has it all. It doesn’t stop there either: it also walks you through compiling, analyzing, and publishing your microclimate data in ways that maximize impact and accessibility.

The why, what, how, when and where of microclimate monitoring, as well as site-specific characteristics to think about. A series of questions everyone has to go through when designing the microclimate component of their study, and the paper walks you through each and every one of them.

It’s quite the giant of a paper as well, trying to go sufficiently in depth with all these aspects of the question to have practical relevance, and to really put you on the road to a successful microclimate project.

Microclimate research is of course not done once the data comes in. Part two of the paper guides you through your selection of reference data, how to compile your microclimate time series, the basics of microclimate data analysis and the publication of your data open access and, of course, into the SoilTemp database!

Where to measure?

One of my favorite parts of the paper – to name just one – focuses on where to measure microclimate. This section emphasizes the importance of matching spatial resolution and extent to the scale at which your study organisms experience their environment. It highlights the nested, hierarchical nature of microclimates: locally measured conditions (temperature, moisture, wind) are shaped by a combination of local, regional, and global climatic signals.

The nested nature of microclimates. Locally measured microclimate (e.g. temperature, moisture, wind) always represents a combination of local, regional and global climate signals. At each scale from macro to micro, climatic gradients can be unfolded, just like replicated geometric shapes in a fractal.

That chapter explores the concept of proximal microclimate, which refers to how closely microclimate measurements represent the actual conditions experienced by organisms. Proximal microclimate goes beyond simply placing sensors: it considers both the spatial and temporal alignment of measurements with biological processes. By addressing this, researchers can better connect microclimate data to ecological responses.

Additionally, we introduce practical approaches like stratified random sampling to select logger locations. This technique helps ensure that you capture as much environmental variation as possible, maximizing the value and representativeness of your dataset.

No ‘one-size-fits-all’ solution—and that’s okay!

Importantly, the paper doesn’t promise a single ‘golden rule’ to every microclimate monitoring challenge. There’s no universal sensor, setup, or methodology that works for all studies—and that’s because each research question is unique. What the paper does offer is a clear framework to help you identify the best strategy for your specific case, taking into account the unique characteristics of your study system.

Building on the latest advances in microclimate research

In addition to its practical advice, the paper builds on the latest advances in microclimate science, making it an invaluable resource for both beginners and experts. It not only provides you with step-by-step guidance but also connects you to a carefully curated list of must-read references in the field.

As you can expect, we are incredibly excited about this paper finally seeing the light of day, and hope it will inspire and support researchers around the world in designing successful microclimate studies.


Read the full paper here

Key takeaway: Microclimate research is a complex but essential part of understanding terrestrial ecosystems. With these ten practical guidelines, you’ll be better equipped to design, execute, and share impactful microclimate research—and maybe even contribute your data to the SoilTemp database!

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🌿 Can we mitigate global drought using vegetation-driven rainfall? 🌧️

Check out this inspiring and creative video by our ecology students at Utrecht University! Combining humor, innovation, and scientific depth, they shine a spotlight on an urgent global issue: drought and its devastating impact on ecosystems, livelihoods, and the climate. Most importantly, they explore how nature itself can play a pivotal role in the solution

This project marks my first experience supporting students in this particular science communication exercise, and I couldn’t be prouder of their work. They’ve transformed complex ecological concepts—like the biotic pump theory and precipitation corridors—into an engaging, accessible, and thought-provoking story.

First time for me supporting students in this science communication exercise, and I found it quite refreshing. It’s a fun way to dive deep into a topic and find a way to communicate scientific complexities to a broad audience.

🌍 Why does it matter?
Forests are more than just carbon sinks; they are powerful drivers of the hydrological cycle, influencing rainfall patterns even far from coasts. Deforestation and drought amplify climate change effects, from biodiversity loss to increased wildfire risks. Strategic reforestation and conservation efforts could unlock nature’s ability to cool the planet and sustain life, offering hope for a more resilient future.

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The fog lifts over Dutch nature

Dutch nature on a foggy morning, seen from my car in the traditional traffic jam on the A27 from Breda to Utrecht

I’m starting something new and I’m SUPER excited: a new project that perfectly aligns with my new role as an assistant professor in ecological scaling—and builds naturally on the work I’ve been doing so far: the Dutch branch of EcoFracNet!

EcoFracNet is a global biodiversity monitoring network with a unique, standardized “fractal” design. This setup involves systematically spaced plots at various scales, making it an ideal way to investigate the scale at which biodiversity changes—right in line with my research interests.

Lingering mist over a Dutch field. The Netherlands are an unusual case due to their virtual lack of topography. What does that do to the scale at which biodiversity varies? And how does human land use and nature management affect that scale? We plan to find out!

In this Dutch edition, we’ll be applying EcoFracNet’s design across a wide range of iconic habitats, from forests, grasslands, heathlands, and dunes to bogs, agricultural fields, and even gardens. Our goal is to examine just how diverse these habitats are and to identify the scales at which biodiversity patterns emerge within them. We’ll then compare these patterns to global data, exploring how factors like topography, microclimate, soil conditions, and human land use drive biodiversity at multiple scales.

The ‘Triangle’ – De ‘Driehoek’ – a small patch of nature managed by the biology students at Utrecht University and the first field site of our measurement campaign.

We officially launched the project this week at our first field site, conveniently located at Utrecht Science Park. This location is especially fitting, as it doubles as a training ground for ecology students at Utrecht University. The project framework will give students hands-on experience and support them in developing their own research questions.

This isn’t a short-term endeavor, either—we’re in it for the long haul. By committing to long-term monitoring, we’ll capture not only spatial diversity but also changes over time, allowing us to quantify year-to-year variation and track the long-term effects of management practices and global change.

Natural patches in the Netherlands are often very small, while most of the green space is filled with agricultural monocultures. I am curious to see how much diversity – and at which scales – we can still unearth!

Interested? I bet you are! Get in touch and we’ll talk about it!

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Nitrogen deposition and distribution shifts of forest plants

It intuitively makes a lot of sense, doesn’t it? As the climate warms, species should be moving north, racing to stay within the climatic conditions they can survive in.

So, naturally, we thought the same when we set out to monitor long-term shifts in the distribution of forest understory plants, expecting to find a dominant northward migration. Except, that wasn’t at all what we found…

In fact, the actual trends were very striking: forest plants were 2.6 times more likely to move westward than northward. And this wasn’t just some fluke—this finding comes from the ‘ForestREPlot’ database, which compiles repeated surveys of forest understories from across Europe. It’s a remarkable dataset, tracking over 3,000 semi-permanent plots that have been resurveyed over periods ranging from 13 to 67 (!) years.

We expected to see species migrating north to track the warming climate. In theory, the wind roses—visualizing shifts in species centroids and climate—should have aligned, with species following the northward drift of suitable climates. But the reality? Starkly different. Instead of predominantly northward shifts, species distributions were veering strongly east-west, often moving faster than the climate itself.

The power of this database lies in its ability to track long-term changes in species distributions across decades of global change. Moreover, by looking at both centroid shifts and colonization/extinction events, we were able to paint a comprehensive picture—not just of range edges, but of how entire species ranges are being reshaped. And the results, now published in Science, tell a clear story: northward movement is being eclipsed by these striking east-west shifts.

So, what’s driving this unexpected trend? After analyzing various potential global change drivers, the main culprit appears to be nitrogen deposition. Indeed, nitrogen-generalists are expanding westward, particularly into regions of Western Europe where nitrogen deposition has been strongest, such as Belgium and the Netherlands. While sulphur pollution from historical acid rain may have played a role, it doesn’t seem to be the primary factor here.

Budding seedling of Acer pseudoplatanus in a Belgian forest – one of the ‘winners’ of the study – strongly expanding its range.

As surprising as these findings may be, they actually align with some of our recent thinking about microclimate. We’ve been hypothesizing that plant movements wouldn’t necessarily mirror macroclimatic trends, since plants experience microclimates—which don’t show the same northward shifts as macroclimate data would suggest. While this microclimate buffering gave us hope, our new study reminds us that we can’t overlook other global change drivers. Their impact on biodiversity may be just as significant—if not more so—than climate change itself.

More information:

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