Good family man or sulking teenager: an update on our data network

May be an image of outdoors

The data from the lawn network of our citizen science project (CNidT) is transmitted via the Internet of Things. With its 5,000 connected sensors, CNidT is also the largest Internet of Things network in Belgium. Pioneering work, therefore, and that gives as many interesting surprises as challenges.

The name, Internet of Things, or IoT, refers to a set of devices that are connected to the Internet. In this way, the devices can send data to the cloud, communicate with databases or exchange data among themselves.

Many devices on the IoT are equipped with a sensor to collect data. In the case of CNidT, the soil sensor has several sensors that measure air temperature, soil temperature or soil moisture every 15 minutes. Via a SIM card, the sensors are connected to Orange’s IoT network and once a day the collected data is transmitted to our database and the participants’ dashboards (you can check out the dashboard of the sensor at the University of Antwerp here!).

After over a month of data collection, we now have a great view of how faithfully the lawn daggers transmit their data to the CuriousNoses database at UAntwerpen. What is surprising is that part of the network reacts like a “good family man”, while another part acts more like a “sulking teenager”.

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About 50% of all sensors send their data every 24 hours (these are the good family men). The other 50% still like to hold the data for one or more days, only to send it all in one burst at a later time (these are the stubborn teenagers).

Is your garden dagger by any chance a sulking teenager? No need to panick yet. You won’t indeed see new data appearing on your dashboard every 24 hours. But this data is not lost: the data is stored in the internal memory of the soil sensor and transmitted when there is connection again. Either way, this data gets ultimately included in our analyses.

From an Internet of Things perspective, these good and bad lawn daggers are highly fascinating: why is the network reacting the way it is? Is there reduced coverage in certain locations? Are there large trees or buildings nearby? Or does the weather play a role in connection reliability? And what can we learn from this for the future rollout of large IoT networks? We are currently investigating these interesting questions with partner Orange, sensor builder TOMST and the Internet of Things wizards at ID lab at UAntwerpen.

Text by Sanne de Rooij, translated by Jonas Lembrechts

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Cold fieldwork news

I received some pictures from the snowy colds of the Norwegian mountains this week, where The3DLab-member Ronja went on a cross-country ski tour to her seed addition experiment to measure snow depth.

Snow is a crucial component of microclimate as it serves as a blanket: a thick snow pack can keep soil- and near-surface temperatures close to 0°C all winter.

Ronja in a black-and-white world, on the road to her fieldwork plots. Picture by Eivind Bering

In Ronja’s experiment, we are especially interested in local variation in these snow covers, as we are comparing exposed with sheltered locations. In the exposed location, wind prevents the accumulation of a thick snow pack, with potentially much more intense freezing around our seedlings, yet also an earlier onset of spring. In the sheltered locations, snow can accumulate, providing this important blanket against heavy freezing, yet also delaying the start of spring for the plants underneath the blanket.

Locating your fieldwork plots under a blanket of snow needs good GPS-coordinates. Picture by Eivind Bering
A sheltered location, where no plots can be seen. Picture by Ronja

Often these winter measurements of the snow depth are lacking – few are brave enough for winter fieldwork. But Ronja fears no cold (and has equally brave friends to provide fun fieldwork company) and got us the precious data we need.

Very much looking forward to see how the seedlings look when snow is gone!

An exposed plot, with very little snow cover. Picture by Eivind Bering
The precious winter data! Picture by Ronja
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Saving the world isn’t rocket science

The3DLab member Ronja got interviewed for a podcast at her university in Trondheim! A very nice summary of her research. You can find the podcast here, or on Spotify!

The podcast investigates the environmental impacts of hiking trails in the Trondheim area. Norwegians are active practitioners of “friluftsliv” and hiking is one of the most popular activities. Ronja Wedegärtner, Ph.D. candidate at NTNU, discusses the influences of hiking trails on vegetation shifts in mountains in the Northern Scandes, giving away some cool insights about her PhD-research!

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Ronja in the Swedish mountains in search for impacts of trails on vegetation

Want the scoop of some of the most fascinating results from her work, then this podcast is a must-listen!

Saving the world isn’t rocket science

The rapid growth and challenges related to agriculture, urbanization, tourism and human-wildlife conflicts require knowledge to take action. Listening to this podcast, you will be updated on state-of-the-art science related to issues in Trondheim. “Saving the World isn’t Rocket Science” shares knowledge from the science community by interviewing local researchers about sustainability problems in Trondheim and possible solutions.

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Aliens in the Arctic

In a recent study co-authored by The3DLab-member Ronja Wedegärtner, a team of researchers have mapped invasive plants on Svalbard, and the results leave no doubt; alien plants grow where humans have been.

Two of the researchers on fieldwork in Svalbard. Photo: Lawrence Hislop / Norwegian Polar Institute 

The research team found 36 alien plant species, which grew exclusively in areas with human activity. Both around tourist attractions in settlements, and where there has previously been farming.

All of this might sound minor – finding 36 alien plant species should not be that much work, right? – yet the remoteness and challenging working conditions on Svalbard make organized alien species inventories far from straightforward. With this new study, the researchers finally provided a benchmark for continuous monitoring, that will greatly facilitate keeping track of changing biodiversity in the Arctic in the future.

More details on the study can be found in this nice blogpost.

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And we are live!

Distribution of sensor locations across Flanders. Yellow dots represent private gardens, purple are schools, red is for participating municipalities. The green ones in Antwerp represent a separate project in nature reserves.

There we go, today marks the official launch of CurieuzeNeuzen in de Tuin, the day on which 4500 microclimate sensors pop up across Flanders!

1906 sensors connected at noon on ‘D-day’. These will only start sending data on Sunday night, so only 300 are currently actively transmitting data (bottom)

You can take a look at their distribution on this map here.

These are scary and exciting moments, where we can follow in real-time if the connection of the sensors to the Orange Internet of Things-network are successful. As you can see on the right here, things are starting to look good, with already almost half of the sensors successfully installed.

Don’t underestimate that achievement: this is by far the largest IoT-sensor network that the country has ever seen, and we are thus truly technological pioneers.

But all is working relatively smoothly, while microclimate sensors are popping up in gardens across the whole region. Here at home, there was a little scientist helping out in any case (one that especially loves the little blinking lights that comes when sensors fail to connect to the network and, believe me, we have seen plenty of those during development!)

Location selection was done using our recently published selection algorithm that maximizes environmental heterogeneity. Hence the higher density of points in the more complex southern half of the region, and in urban centers.

Finally, below a sneak peek of the dashboard where participants will be able to follow the patterns in their own data, and how those compare with the rest of the region (available for participants from April 6th).

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Weather station networks, reinvented

We need a different kind of weather station networks to answer most ecological questions. We argue that what we need is countrywide ‘microclimate networks’, that measure weather conditions there where they matter for ecology and nature around us.

Where weather stations are insufficient

To measure global weather and climate, the world is increasingly covered by a network of weather or meteorological stations. On land, these stations are designed in such a way that it ensures all stations, whether in Belgium or Brazil, are recording climate in the same standardized manner: in open landscapes, above short grass, and well away from trees, buildings or mountains. While macro-meteorologists, those who design these networks, did their best to remove these local sources of “noise” in the data, these sources of “noise” are meaningful to many organisms. For example, although trees may cause chaos for meteorologists, because forest cover interrupts and changes local temperatures, these differences in forest cover between for example a beech forest in Flanders and a dense tropical forest in the Amazon rainforest of South America have huge meaning and importance for the animals and plants that live there. As a result, our current weather station network is ill-equipped to provide meaningful data to scientists wanting to know how climate impacts biodiversity. 

To do: build countrywide microclimate networks

A call to action has been made in a recently published study, which calls for a globally coordinated effort to create a new kind of weather station network – one that can tell us what a small lizard is ‘feeling’ in the remotest of habitats. We strongly believe that the world needs microclimate networks in parallel to the existing countrywide weather station network as established by national meteorological institutes, such as the RMI in Belgium. We also believe that we need to be quick about it. In their recent publication, the ecologists stress their case. Actually, we need two things: mini weather stations that measure conditions close to and in the soil, and a network of these sensors that measures in the most relevant environments. From cities to the countryside, from forests to mountain slopes, all those locations traditionally avoided by weather stations should be preferentially sampled by these new microclimate networks. By implementing this kind of network, we will be better equipped to understand climate change impacts on species, ecosystems and our agricultural systems.

A ‘mini weather station’ in action, measuring temperature and soil moisture in a Flemish broadleaf forest.

Selection algorithm

To achieve these countrywide microclimate networks, we provide a handy algorithm to decide where exactly these new networks should come. It selects measurement locations based on the expected microclimate variability of a region, by selecting locations in as broad a range of landscape types as possible. For this, we use a multivariate analysis of the environmental space, based on characteristics from which we know that they matter for microclimate: topography, vegetation cover, urbanity, macroclimate. The algorithm quantifies the distribution of these habitats across the country or region and proposes a set of locations that maximally covers this variability with as few measurement locations as possible.

Next up? Implementation! We hope that governments, scientists  or anybody else pay heat to our plea for microclimate networks and use our proposed selection tool to implement them in their own region. As such, we reach out to anybody else to start thinking on this parallel network of microclimate sensors to complement the global weather station network.

Our selection algorithm exemplified for France, with 453 suggested measurement locations on the left, and distribution of these locations (red dots) in the environmental space of France on the right, exemplified for elevation, the Topographic Roughness Index (the complexity of the terrain), and FAPAR (the amount of light absorbed by plants, a proxy of how green the area is).

SoilTemp

With the global SoilTemp-network, we made a great start in that regard, bringing together microclimate data from over 13.000 sensors from over 60 countries. The algorithm proposed here can however help us to switch gears even more, and design these networks specifically with microclimate measuring and global and regional coverage of microhabitats in mind.

We also already have a first example to showcase their approach: the new citizen science project ‘Nosy parkers in the garden’ ( www.curieuzeneuzen.be/home-en) has used it to select gardens for their project on heat and drought impacts on lawns. In this large citizen science project, 4400 citizens were asked to install a mini weather station (‘the garden dagger’) in their garden to measure the impact of heat and drought on urban environments.

A microclimate sensor (little white dot in the grass) taking the heat of a forest clearing

Link to the publication in Global Ecology & Biogeography: https://doi.org/10.1111/geb.13290

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