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51 results for “environmental predictor”
Known distribution of Uruguayan amphibians and environmental predictors
<p>Fuzzy logic modeling was employed to assess the distribution of amphibians in Uruguay using both expert knowledge and observational records. Fuzzy logic allowed for the assignment of continuous values between 0 and 1 to propositions based on fuzzy logical assumptions about the relationship between species and their environment. Models based on expert knowledge and species records were compared and combined, focusing on threatened species, those considered ubiquitous, and non-threatened/non-ubiquitous species. Results demonstrated equal or superior performance for threatened species according to expert knowledge compared to models based on species records, even when both had to classify the same set of records. Expert models predicted more restrictive favorable territories for threatened species. On the other hand, models based on observed records yielded the best-fitted models for non-threatened non-ubiquitous species and ubiquitous species. In summary, fuzzy logic proved to be an effective tool for integrating expert knowledge and observational records in species distribution modeling.</p>
Environmental predictors and invertebrate morphotypes in caves of Iuiú, Bahia, Brazil
<p>In caves, the absence of natural light in deeper regions starkly contrasts with the entrance areas, which still exhibit a light gradient extending into the cave interior. This interplay with the structural gradient of the environment potentially exerts distinct influences on invertebrate communities residing in different cave light zones. To investigate this, we formulated a hypothesis positing that communities within distinct cave light zones respond differently to habitat structure and microclimatic conditions. Our approach involved a spatial multi-scale sampling of invertebrates and the application of statistical analyses to contrast the responses of communities inhabiting photic and aphotic zones. Photic zone richness is influenced by factors such as air moisture, resource availability, root presence, and shelter diversity. In contrast, the richness of communities in aphotic zones is shaped by resource availability, the presence of roots, branches, and distance from the cave entrance. As expected, the richness in the photic zone surpasses that of the deeper regions, highlighting the challenges faced by invertebrates attempting to establish themselves in the aphotic zone. The species composition of faunal communities varied predictably from the entrance to the aphotic zone, and the three most important factors driving this variation were geographic distance, humidity, and distance from the entrance. The composition between these cave zones differs significantly, primarily due to the high number of obligate cave species predominantly inhabiting the aphotic region. Indeed, communities associated with different cave zones exhibit distinct responses to resource, microclimatic, and structural variables.</p>
PPTR / environmental predictors data and VSURF script
<p>Raw data and R script for original article "Identifying Key Environmental Drivers of Reach‐Scale Salmonid eDNA Recovery With Random Forest"</p>
Environmental variables serve as predictors of the exotic and invasive Asian longhorned tick (Haemaphysalis longicornis Neumann): an approach for targeted tick surveillance
<p>Since the 2017 discovery of established populations of the Asian longhorned tick, (<em>Haemaphysalis longicornis </em>Neumann) in the United States, populations continue to be detected in new areas. For this exotic and invasive species, capable of transmitting a diverse repertoire of pathogens and blood-feeding on a variety of host species, there remains a lack of targeted information on how to best prepare for this tick and understand when and where it occurs. To fill this gap, we conducted two years of weekly tick surveillance at four farms in Tennessee (three <em>H. longicornis</em>-infested and one without) to identify environmental factors associated with each questing life stage, to investigate predictors of abundance, and to determine the likelihood of not collecting ticks at different life stages. A total of 46,770 ticks were collected, of which 12,607 <em>H. longicornis</em> and five other tick species were identified. Overall, abundance of <em>H. longicornis </em>was associated with spring and summer seasons, forested environments, relative humidity and barometric pressure, sunny conditions, and in relation with other tick species. The likelihood of not collecting <em>H. longicornis</em> was associated with day length and barometric pressure. Additional associations for different life stages were also identified and included other tick species, climatic variables, and environmental conditions. Here, we demonstrated that environmental variables can be useful to predict the presence of questing <em>H. longicornis</em> and provide ideas on how to use this information to develop a surveillance plan for different southeastern areas with and without infestations.</p>
Known distribution of Uruguayan amphibians and environmental predictors
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Environmental variables serve as predictors of the exotic and invasive Asian longhorned tick (Haemaphysalis longicornis Neumann): an approach for targeted tick surveillance
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Time of activity is a better predictor of the distribution of a tropical lizard than pure environmental temperatures
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Data from: Interbirth intervals in wild baboons: environmental predictors and hormonal correlates
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Environmental predictors and invertebrate morphotypes in caves of Iuiú, Bahia, Brazil
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Data from: Environmental variation is a major predictor of global trait turnover in mammals
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Investigating social and environmental predictors of natal dispersal in a cooperative breeding bird
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Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks
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Data from: Social facilitation is a better predictor of frog reproductive activity than environmental factors
Anuran breeding activity is frequently linked to environmental factors, mainly temperature and rainfall. However, a key feature of anuran reproductive behavior—gathering in choruses and producing loud advertisement calls to attract females—generates a conspicuous social cue that may also facilitate reproductive behavior. Here, I examine the relative importance of environmental and social factors in explaining the intensity of reproductive activity in the Neotropical treefrog Hypsiboas rosenbergi. I show that social cues generally play an important role, but that there are sex differences: male behavior is associated with a combination of environmental and social factors, while female behavior is associated almost exclusively with social cues. I discuss the potential benefits of using social cues in regulating breeding activity, and suggest that conservation efforts may take advantage of the apparently widespread pattern of social facilitation in anuran reproductive ecology.
Data from: Niche construction by growth forms is as strong a predictor of species diversity as environmental gradients
We present a conceptual framework that describes how species belonging to a growth form collectively can be niche constructors (i.e. modify niches) and affect species diversity in plant communities. We use an empirical assessment of tundra plant communities to illustrate the framework's utility. In doing so, we make a first investigation of collective niche construction in ecological communities. In tundra plant communities, growth forms differently affect ecosystem process rates and cause environmental modifications; thus, growth forms are strong candidates for being niche constructors. To assess the impact of growth form niche construction on plant species diversity, we excluded the species of the growth form applied as niche constructor when estimating the community species diversity. We assessed niche construction in 70 tundra meadow communities and 1450 randomly selected tundra plant communities that are distributed along ecological gradients in temperature, resource availability, competitive interference and herbivory. These gradients allowed us to concomitantly assess to what extent the niche construction is independent of environmental conditions. Growth forms varied from strong positive to neutral predictors of both species richness and Simpson index in the order of forbs, grasses, sedges, deciduous shrubs and evergreen shrubs, suggesting that growth forms have important roles as niche constructors in tundra plant communities. Also, the environmental conditions were strong predictors of species diversity, but they did not interact with or confound the effects of growth forms. Forbs and grasses were the least abundant growth forms, yet they were the strongest positive predictors of species diversity. Therefore, our results suggest a particular niche-constructing role of these growth forms for enhancing species diversity in tundra plant communities. Synthesis. In this study, we provide conceptual and empirical evidence for collective niche construction as a powerful ecological process that affects species diversity and that can act independently of environmental conditions. Species sharing a single trait or species belonging to a growth form can act as collective niche constructors, and as exemplified for growth forms in this study, be important predictors of species diversity in ecological communities.
Environmental variability as a predictor of behavioral flexibility in urban environments
<p>Global urbanization processes have highlighted the importance of understanding the effects of urban habitats on animal behavior. Behavioral changes are usually evaluated along an urbanization gradient, comparing urban and rural populations. However, this metric fails to consider heterogeneity between urban habitats that can differ significantly in their characteristics, such as their level of environmental variability. We suggest incorporating dimensions of environmental variability into the urbanization metric. We tested the importance of both level of urbanization and level of urban stability (the rate of anthropogenic changes) on animals' behavioral flexibility by comparing reversal learning abilities in house sparrows from sites differing in the rate of urban development over time. We show that at least for males, urban stability better explains levels of behavioral flexibility than urbanization level. We further show that urban stability corresponds to other behavioral traits such as scrounging behavior and foraging activity. Thus, considering environmental stability and predictability in the form of urban changes can help better understand the mechanisms allowing behavioral changes and adaptations to urban environments. Evaluating the dynamics of the urban built environment could provide a better metric with which to understand urbanization effects on wildlife behavior and an important next step in urban ecology.</p>
Data from: Ecological and environmental predictors of escape among birds on a large tropical island
<p><span><span><span><span>Ecological and environmental traits can influence avian escape behaviour but most data underpinning our current understanding relates to continental and temperate areas and species. We conducted a phylogenetically controlled comparative analysis of flight-initation distance (FID) against a variety of environmental, behavioural and life-history attributes for Sri Lankan birds (202 species; n = 2540). As with other studies, body mass was positively associated with FID, and longer FIDs occurred in areas where human population density was lower. We also found that the effect of human population density was more pronounced in larger birds. Birds that were in groups when approached tended to have longer FIDs. Unlike the findings of other comparative analyses, based mostly on continental, temperate populations, most other ecological variables did not feature in the best models predicting FID (time of year, breeding system, clutch size, habitat, migratory behaviour, development [altricial/precocial], elevation and diet). Thus, some associations (body mass and exposure to humans) may be universal, while others may not manifest themselves among tropical avifaunas. Further tropical datasets are required to confirm truly universal associations of environmental and ecological attributes and escape distances among birds.</span></span></span></span></p>
Data from: Temporal variability in the environmental and geographic predictors of spatial-recruitment in nearshore rockfishes
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Data from: Environmental predictors of woody plant encroachment in calcareous fens are modified by biotic and abiotic land-use legacies
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Data from: The environmental predictors of spatiotemporal variation in the breeding phenology of a passerine bird
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Environmental variability as a predictor of behavioral flexibility in urban environments
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.