Belgium

Light pollution is the most common and fastest-growing form of urban pollution worldwide. While urbanization is recognized as one of the primary drivers of the global decline of amphibians, little attention has been paid to the impact of artificial light at night (ALAN) on this particularly threatened group of vertebrates. In this study, we investigate the direct effects of two types of LED lights (5 lux warm-2700K and 5 lux cold-6000K) on the metabolic rate of larvae of the crested newt species,Triturus ivanburschi. We also examined the delayed effects of ALAN. Metabolic activity was investigated in juvenile individuals three weeks after their development under ALAN. The oxygen uptake of individuals at rest was measured as a proxy for the standard metabolic rate at both life stages. Our findings showed that larvae developed under both cold and warm LED lights had higher metabolic rates compared to the control group. However, in juveniles, alterations were observed only in individuals that have been exposed to cold LED lights; these individuals exhibited lower metabolic activity than both the control and warm LED groups. Overall, the results suggest that ALAN affects the metabolic activity of crested newt larvae, with possible delayed effects in subsequent life stages. These changes may have long-term negative impacts on the fitness of newt populations, which is crucial for biodiversity conservation in a world plagued by light pollution.

SEB Conference 2025

How exposure to artificial light at night affects the metabolic rate of crested newts during early life stages

metabolic rate

light pollution

amphibians

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poster

Artificial light at night (ALAN) is a widespread pollutant that impacts wildlife at various levels. However, our understanding of the effects of ALAN on amphibians, particularly tailed amphibians, is limited. In this study, we examined how ALAN affects the development, growth rate, and activity of larvae from two species of crested newts:Triturus macedonicusandT. ivanbureschi, as well as their hybrids. Given that responses to ALAN can vary based on light intensity, spectral composition, and duration of exposure, we compared the effects of warm (2700K) LED light and cold (6000K) LED light. Larvae were exposed to two light intensities (5 lux and 30 lux) from hatching until they reached developmental stage 62. Our results indicated that while both types of light can alter development, body size, and movement activity, cold LED light at higher intensity resulted in more significant effects. Comparing the species, we found thatT. ivanbureschiand theT. macedonicus-mothered hybrids showed a greater response to ALAN. Specifically, these larvae experienced prolonged development, lower growth rates, and reduced activity when exposed to 30 lux of cold light. This type of light is generally considered to be more harmful to organisms. Our research highlights the complex effects of ALAN on amphibians and emphasizes the difficulty in generalizing its impact across different species.

Effects of two types of LED lights at night on the development, body growth, and behavior of larvae of two crested newts species and their hybrids

As ectothermic animals, fish are particularly vulnerable to the impacts of rising temperatures, with many populations approaching their thermal limits. A holistic understanding of the vulnerability of fish populations is thus vital to mitigate environmental and societal impacts under climate warming. While early life stages have been suggested to be more vulnerable to thermal stress than juveniles and adults, existing methods for measuring heat tolerance are inconsistent between fish life stages. These methodological inconsistencies have fuelled debates about the increased sensitivity of embryos to thermal stress and have limited our ability to predict the impacts of climate change on fish populations. Fortunately, alternative approaches to measuring thermal tolerance now allows us to standardise assessments across life stages. I propose to conduct a distributed experiment—uniting researchers across the world to collect data on embryonic thermal tolerance using standardised methods. These experiments will be simple, replicated across various species and regions, and all contributors will be co-authors on the resulting publication. By identifying the developmental stage most sensitive to heat stress, this project will yield crucial knowledge to predict the impacts of climate change on fish populations.

A call for distributed experiments on fish embryonic thermal tolerance

Koala populations in Australia have declined by 54% in the last three decades. Millions of dollars are spent annually on protecting koalas, focussing on safeguarding habitat and treating disease. Yet, two thirds of all koala deaths occur when they are moving along the ground, due to vehicle strikes and dog attacks. Despite decades of research, little is known about how koalas move on the ground. Traditional GPS tracking provides limited insight into these movements, as they generally record locations only once or twice a day. To address this gap, we use accelerometers—bio-loggers that record three-dimensional movement at hundreds of points per second—to determine the orientation and movement of koalas during specific behaviours. We collared 10 koalas in the wild with accelerometers and high-resolution GPS devices for an average of 8 days. From these data, we quantified (1) the frequency and duration of ground visits, (2) the speed and distance moved, and (3) the locomotion style used on the ground (e.g., walking, bounding). We found that koalas visited the ground three times per day on average, totalling only 45 minutes. Koalas travelled on average 260 metres per ground visit, mainly walking at 1.7 km/h with occasional bounding at 10.4 km/h. Combining accelerometer and GPS data, we identified the specific trees koalas moved between. This is the first comprehensive analysis of koala movement in the wild, revealing new insights into their ground behaviour. Understanding these movement patterns is crucial for protecting koalas where they are most vulnerable.

Monitoring the 'Mundane': What Do Koalas Do When They're NOT Sleeping?

The king penguin is one of the champion avian divers, surpassed only by its larger relative, the emperor penguin. The foraging ecology of king penguins is typically studied during the austral summer, when foraging trips are relatively short (weeks). Consequently, little is known about the fall/winter period, when birds undertake long foraging trips (months) and the descent of their preferred prey to greater depth might challenge their dive capacity. Investigating the dive behaviour of 7 king penguins from the Crozet Islands during fall/winter, we found that birds conducted deeper and longer dives during this period. Most birds exceeded the previous depth and duration records but the deepest (424.5 m) and longest (10 min) dives were conducted by the same individual. These dives are the deepest and longest yet reported for king penguins and illustrate their ability to respond to seasonal changes by enhancing their dive capacity, likely through gradual acclimatization.

Exploring new depths: king penguins break dive records during the austral winter

Supervised machine learning is widely used to detect fine-scale animal behaviour from accelerometer data. However, there is currently no standardised protocol for verifying the accuracy of this technique, and the risks associated with common machine learning verification pitfalls have yet to be widely recognised. One such pitfall is model overfitting, which occurs when a model becomes too closely aligned with the training data, memorising noise rather than capturing generalisable patterns. As a result, while the model may show high performance on the training set, its ability to generalise to new, unseen data is compromised. This limitation can be detected with the application of robust time-series specific validation techniques. We conducted a systematic review of 119 accelerometer-based behaviour classification supervised machine learning papers to see what proportion of existing literature conducted appropriate time-series validation. We found that 79% (94 papers) did not validate their models sufficiently well to identify potential overfitting. Although this does not inherently imply that these models are overfit, the absence of independent test sets limits the interpretability of their results. To address these challenges, we provide a theoretical overview of overfitting in the context of time-series accelerometer data and propose succinct, ecologist-accessible guidelines for optimal time-series validation techniques. Our aim is to equip ecologists with the tools necessary to adapt general machine learning theory to the specific requirements of time-series biologging, facilitating reliable overfitting detection and continuing to advance the field.

Practical Guidelines for Supervised Machine Learning Model Validation in Accelerometer-based Animal Behaviour Classification

Background: There is individual variability in the response of core body temperature (CBT) during exposure to heat load. Ewes classified as having high rectal temperatures on hot days before breeding had smaller lambs, with those lambs having lower survival rate than the lambs from ewes that had a lower rectal temperature on hot days before breeding. The ability to classify animals as having either a high or low body temperature suggests the possibility that a thermal phenotype may exist in CBT.
Aims: Rumen temperature (Trumen ) was recorded as a proxy for CBT in ewes during summer to determine whether a repeatable thermal phenotype could be identified within individuals.
Methods: Trumen  was recorded every five minutes over 34 days during the hottest period of summer in 43 ewes kept in a paddock with no access to shade, while data from a weather station were used to calculate the average daily temperature-humidity index. On each day, each ewe was ranked based on its 95th  percentile Trumen  for that day. The consistency of the ranking was assessed across days by correlating each ewe’s ranking on a given day with its ranking on every other day during summer.
 Results: The individual ranking of Trumen  was stable over time, with the correlation coefficient between days ranging between 0.25 and 0.75.
 Conclusion and Implications: Ewes have a thermal phenotype in CBT during summer. This thermal phenotype may impact animal performance and welfare.

Identifying a thermal phenotype from field measurement of the core temperature of ewes

The frequency of climate change-induced hypoxic events defined as a decrease in dissolved oxygen levels in water is increasing at an unprecedented rate. Enclosed ecosystems are particularly vulnerable, as organisms in these environments cannot escape hypoxia and must develop ways to cope with its chronic effects to avoid extinction. When exposed to short-term hypoxia, fish can rapidly adjust their phenotype through direct plasticity. If environmental conditions remain similar across generations, intergenerational plasticity can also occur. When the stressor becomes persistent, adaptation may take place. Therefore, more research is needed to understand how fish respond to multigenerational hypoxia. To investigate this, we studied two populations of Gasterosteus aculeatus collected from separate streams, one that has been exposed to hypoxia for a decade and one that has not. Within each population, we bred two generations, exposing offspring to either normoxia (100% dissolved oxygen, DO) or fluctuating hypoxia (30% DO at night and 100% DO during the day). This experimental setup resulted in eight groups, allowing us to examine direct plasticity, intergenerational plasticity (when offspring matched parental environmental conditions), and adaptation between the populations. We measured various fitness-related traits, including social and risk-taking behavior, metabolic rate (standard metabolic rate, SMR), and hypoxia tolerance. When directly exposed to hypoxia, fish reduced their social and risk-taking behaviors but showed no change in metabolic rate. However, after multiple generations of exposure, fish maintained active social and risk-taking behaviors while decreasing their SMR. This study disentangles the responses to hypoxia within and across generations used by fish.

Resilience in a hypoxic world: Behavioral and metabolic responses of stickleback populations exposed to multigenerational fluctuating hypoxia

In a previous study, it was: shown that this species had a maximum metabolic rate (MMR) during a critical thermal maximum while swimming (CTSMax ) test that was 60% higher than measured during a critical thermal maximum (CTMax ) test (i.e., on resting fish); and suggested that this higher MMR allowed these swimming fish to tolerate only slightly lower maximum temperatures (37.5 vs. 38.9o C, respectively). However, the mechanism(s) mediating this difference in MMR was/were not known. Thus, we performed CTMax  and CTSMax  tests in a swim-tunnel respirometer on snapper that had been implanted with Transonic®  blood flow probes so that heart rate (fH ), stroke volume (SV ), cardiac output (Q̇) and oxygen extraction (ṀO2  / Q̇) could be measured. The ~ 1.75 fold higher MMR in schoolmaster snapper given a CTSMax  vs. CTMax  test was not due to a greater contribution of SV  to Q̇ in swimming fish exposed to acute warming as was previously hypothesized. Instead the increase in fH  was ~ 40 beat min-1  (25% higher) in fish given the CTSMax  test, and ṀO2  / Q̇ was ~ 1.55-fold greater. This increase in ṀO2  / Q̇ may be related to improved oxygen uptake at the gills (and thus oxygen content of the arterial blood) and/or increased extraction efficiency in swimming fish at warm temperatures. Nonetheless, these data are another example of the importance of ṀO2  / Q̇ in determining the tolerance of fish exposed to combined stressors, and how estimating thermal tolerance based on measures of fH  alone may be misleading.

Increased Oxygen Extraction is Key to the Ability of Schoolmaster Snapper (Lutjanus apodus) to Swim Maximally at High Temperatures

Burkholderia cepacia is a bacterium commonly found in humid environments and water sources, which can cause severe respiratory infections in immunocompromised patients or those with specific chronic diseases. Due to its unique survival and proliferation abilities, this bacterium can thrive in natural water bodies, specific sterile or non-sterile preparations, and in environments where antibiotics and disinfectants are present and in nutrient-deficient conditions. This makes it a significant threat to the water supply systems in medical facilities. Many broad-spectrum antibiotics, such as penicillins and polymyxins, are ineffective against B. cepacia, complicating the treatment process, and its transmission characteristics increase the likelihood of healthcare-associated infections. Therefore, conducting in-depth analyses of this bacterium is crucial to propose more precise and effective prevention and treatment strategies. This study collected approximately 80 strains isolates of B. cepacia. First, random amplified polymorphic DNA (RAPD) typing was performed, and then their potential to cause nosocomial infections was analyzed. Subsequently, drug susceptibility testing was conducted using the disk diffusion method to identify effective antibiotics, aiming to prevent the potential spread of this bacterium.

Characteristics and drug susceptibility analysis of Burkholderia cepacia isolates

In the Mediterranean, populations of the spider crab, Maja squinado, are drastically declining. As a necessary step for successful restoration programs, this study focuses on ontogenetic changes in M. squinado (from larvae to adults), and takes into account intrinsic factors such as energy balance, size, molt and gender. For this purpose, individual routine metabolic rates were collected from reared larvae and juveniles and wild-caught adults. Results revealed distinct metabolic variations throughout development.
Zoea 1, the first planktonic larval stage, has higher metabolic rates than zoea 2, likely due to an increase in inactive material and reliance on egg reserves, while zoea 2 depends on external food. As development progresses to megalopa and benthic juvenile stages, metabolic rates rise exponentially, reflecting increased activity and organ development, making essential self-maintenance processes more energy dependent. From 7-month-old juveniles to adults, metabolic rates decline, likely due to extended intermolt periods and reduced growth, along with different survival strategies and behaviors. In reproductive adults, males have twice the metabolic rate of females, possibly due to territorial competition and reproductive efforts. Metabolic rate inversely correlates with size: individuals under 20 g consume oxygen at twice the rate of those over 80 g. Molting significantly impacts metabolism, with lower rates in post-molt individuals compared to pre-molt stages.
The successful rearing of M. squinado and the significant physiological insights gained into the different developmental stages enhance our understanding of the species' ecosystem interactions, and pave the way for further analyses before the implementation of restoration trials.

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Effects of two types of LED lights at night on the development, body growth, and behavior of larvae of two crested newts species and their hybrids

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