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48 results for “Ecology: thermal”
Data from: Biodiversity and thermal ecological function: the influence of freshwater algal diversity on local thermal environments
The influence of temperature on diversity and ecosystem functioning is well studied; the converse however, i.e. how biodiversity influences temperature, much less so. We manipulated freshwater algal species diversity in microbial microcosms to uncover how diversity influenced primary production, which is well documented in biodiversity research. We then also explored how visible-spectrum absorbance and the local thermal environment responded to biodiversity change. Variations in the local thermal environment, that is, in the temperature of the immediate surroundings of a community, are known to matter not only for the rate of ecosystem processes, but also for persistence of species assemblages and the very relationship between biodiversity and ecosystem functioning. In our microcosm experiment, we found a significant positive association between algal species richness and primary production, a negative association between primary production and visible-spectrum absorbance, and a positive association between visible-spectrum absorbance and the response of the local thermal environment (i.e., change in thermal infrared emittance over a unit time). These findings support an indirect effect of algal diversity on the local thermal environment pointing to a hitherto unrecognized biodiversity effect in which diversity has a predictable influence on local thermal environments.
Transcriptional response to long-term thermal acclimation in an ecologically relevant marine cyanobacterium of the ubiquitous Synechococcus clade II
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Alpine viper in changing climate: thermal ecology and prospects of a cold-adapted reptile in the warming Mediterranean
<p><span><span>In a rapidly changing thermal environment, reptiles are primarily dependent on in situ adaptation because of their limited ability to disperse and the restricted opportunity to shift their ranges or evolve. However, the rapid pace of climate change may surpass these adaptation capabilities or elevate energy expenditures. Therefore, understanding the variability in thermal traits at both individual and population scales is crucial, offering insights into reptiles' </span></span><span><span>vulnerability</span></span><span><span> to climate change. We studied the thermal ecology of the endangered Greek meadow viper (</span></span><span><span><em>Vipera graeca</em></span></span><span><span>), an endemic venomous snake of fragmented alpine-subalpine meadows above 1600 m of the Pindos mountain range in Greece and Albania,</span></span><span><span> </span></span><span><span>to assess its susceptibility to anticipated changes in </span></span><span><span><span>the</span></span></span><span><span> </span></span><span><span><span>alpine </span></span></span><span><span>thermal environment. We measured preferred body temperature in artificial thermal gradient, field body temperatures and the availability of environmental temperatures in five populations encompassing the entire geographic range of the species. </span></span><span><span>We found that the preferred body temperature (</span></span><span><span><em>T</em></span></span><sub><span><span><em>p</em></span></span></sub><span><span>) differed</span></span><span><span> </span></span><span><span><span>only</span></span></span><span><span> </span></span><span><span>between the northernmost and the southernmost populations </span></span><span><span>and increased with female body size but did not depend on sex or the gravidity status of females. </span></span><span><span><em>T</em></span></span><sub><span><span><em>p</em></span></span></sub><span><span> increased with latitude but was unaffected by the phylogenetic position of the populations. We also found high accuracy of thermoregulation in </span></span><span><span><em>V. graeca</em></span></span><span><span> populations and variation in the thermal quality of habitats throughout the range. The overall effectiveness of thermoregulation was high, indicating that </span></span><span><span><em>V. graeca</em></span></span><span><span> successfully achieves its target temperatures and exploits the thermal landscape. Current climatic conditions limit the activity period by an estimated 1278 hours per year, which is expected to increase considerably under future climate change. Restricted time available for thermoregulation, foraging and reproduction will represent a serious threat to the fitness of individuals and the persistence of populations in addition to habitat loss due to mining, tourism or skiing and habitat degradation due to overgrazing in the shrinking mountaintop habitats of</span></span><span><span><em> </em></span></span><span><span><em>V</em></span></span><span><span><em>. graeca</em></span></span><span><span>.</span></span></p>
Data from: Biodiversity and thermal ecological function: the influence of freshwater algal diversity on local thermal environments
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Data from: Predicting the thermal and allometric dependencies of disease transmission via the metabolic theory of ecology
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Data from: Adjustable temperature array for characterising ecological and evolutionary effects on thermal physiology
1. To accurately characterise a species' thermal niche and aid in predicting effects of climate change we must not only include information on thermal tolerances and physiological responses to changing temperatures, but also incorporate ecological effects and evolutionary processes that may shape a species' niche. However, quickly and practically collecting data on key factors such as adaptation potential, behaviour, effects of species interactions, plasticity, and thermal tolerances is logistically challenging. 2. We have therefore created an adjustable temperature array (ATA) to assist with experimental ecology and evolution research. ATA's are a row of independent temperature points controlled and set by the user and made from commercially-available parts. This allows the user to create unique thermal landscapes relevant to their study organism(s) and question(s). Further, the option of using an enclosed cage allows the user to answer questions at the individual, population, or community level in the context of changing thermal environments. ATA's are able to be user-set to constant or dynamic temperature regimes and are designed for use on small animals (e.g., fruit flies, beetles, mosquitoes) or plants (e.g., germinating seeds). 3. We have tested and confirmed the accuracy of the ATA to several thermal landscapes that would be useful for experimental ecology and evolution, including: 1) coarse resolution of a broad thermal niche ranging from 12° to 42°C in 2°C intervals (R2= 0.998); 2) fine resolution of a narrow thermal niche ranging from 15° to 32°C in 1°C intervals (R2= 0.997); 3) a pyramid-shaped niche consisting of a gradient from 14° to 30°C in 2°C intervals (R2 = 0.997); and 4) a very narrow thermal niche with replicate thermal resources ranging from 26.5° to 34°C in 1.5°C. intervals (R2= 0.989). 4. The equipment described here is an important tool for thermal niche studies and will aid in gathering information on effects of ecological and evolutionary processes to create a comprehensive picture of species responses to climate change.
Fig. 5 in Thermal ecology of the Pygmy Alligator Lizard, Gerrhonotus parvus Knight and Scudday, 1985 (Squamata: Anguidae), in Nuevo Léon, Mexico
Fig. 5. Specimens of (A) male Gerrhonotus parvus and (B) female Gerrhonotus parvus.
Data from: Adjustable temperature array for characterising ecological and evolutionary effects on thermal physiology
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.