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225 results for “Environmental variability”
Atlantic bluefin tuna (Thunnus thynnus) presence and pseudoabsence locations with 13 remotely sensed environmental variables
<p>Atlantic bluefin tuna (<em>Thunnus thynnus</em>; ABFT) are a highly important fisheries species of economic and conservation concern. Understanding their distributions, particularly under climate change is imperative for effective management. Here we assemble a dataset of 4,216 true presence locations for ABFT tagged with pop-up satellite archival tags off the west coast of Ireland between 2016-2021 and 392,009 pseudoabsence locations simulated by a series of correlated random walk modelling. The dataset also contains remotely sensed data at each location for 13 environmental variables including: bathymetry (m), rugosity (m), absolute dynamic topography (m) and it's spatial standard deviation, log surface chlorophyll-a (Log mg m-3), mixed layer depth (m), mean primary productivity over the top 200m of the water column (mg m-3), mean oxygen over the top 200m of the water column (mmol m-3), sea level height anomaly (m) and it's standard deviation, sea surface temperature (°C) and it's spatial standard deviation, and log eddy kinetic energy (Log m<sup>2 </sup>s<sup>-2</sup>).</p>
Figure 2 in Fish community assemblages in relation to environmental variables in the Lefini River, middle Congo River basin (Republic of Congo)
Figure 2. – Set of gill nets. A: Station 1 (Ah1); B: Station 10 (Avh1).
Figure 4 in Assessments of environmental variables affecting the spatiotemporal distribution and habitat preferences of living Ostracoda (Crustacea) species in the Enez Lagoon Complex (Enez-Evros Delta, Turkey)
Figure 4. Salinity tolerance diagram of Ostracoda determined in the Enez lagoons.
Crops & Progenitors Environmental Variables
<p>Environmental raster dataset obtained for the 'Crop & Progenitor' case study.</p> <p>The dataset has been archived in a .zip file for one simple reason: the folder structure of the files is important to the model, as some raster layers are categorical while others are not. </p> <p>Several types of environmental variables have been used, however, the dataset can be devided into five groups:</p> <p>1) Terrestrial ecoregions (Source: http://maps.tnc.org/gis_data.html).</p> <p>2) Bioclim dataset (Source: https://www.worldclim.org/bioclim).</p> <p>3) Several eco attributes, like: human fragmentation, -accessibility & -appropriation (Source: https://databasin.org)</p> <p>4) ENVIREM dataset (Source: https://envirem.github.io/)</p> <p>5) The Global Soil Dataset (Source: http://globalchange.bnu.edu.cn/research/soilw)</p>
Time series of gas, particle, and environmental variables measured at the Mäkelänkatu urban street canyon site in May 2017
<p>Time series data of gas, particle, and environmental variables measured at the Mäkelänkatu urban street canyon site, in Helsinki, Finland, in May 2017.</p>
Fig. 5 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 5. Frequency distribution of L/W ratios at the mouth stations (a) and Co Chien estuary (b).
Fig. 1 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 1. Location of the sampling station.
Distinctive, fine-scale distribution of Eastern Caribbean sperm whale vocal clans reflects island fidelity rather than environmental variables
<p>Environmental variables are often the primary drivers of species' distributions as they define their niche. However, individuals, or groups of individuals, may sometimes adopt a limited range within this larger suitable habitat as a result of social and cultural processes. This is the case for Eastern Caribbean sperm whales. While environmental variables are reasonably successful in describing the general distribution of sperm whales in the region, individuals from different cultural groups have distinct distributions around the Lesser Antilles islands. Using data collected over two years of dedicated surveys in the Eastern Caribbean, we conducted habitat modelling and habitat suitability analyses to investigate the mechanisms responsible for such fine-scale distribution patterns. Vocal clan-specific models were dramatically more successful at predicting distribution than general species models, showing how a failure to incorporate social factors can impede accurate predictions. Habitat variation between islands did not explain vocal clan distributions, suggesting that cultural group segregation in the Eastern Caribbean sperm whale is driven by traditions of site/island fidelity (most likely maintained through conformism and homophily) rather than habitat type specialization. Our results provide evidence for the key role of cultural knowledge in shaping habitat use of sperm whales within suitable environmental conditions and highlight the importance of cultural factors in shaping sperm whale ecology. We recommend that social and cultural information be incorporated into conservation and management as culture can segregate populations on fine spatial scales in the absence of environmental variability.</p>
Data from: Disentangling genetic from environmental effects on phenotypic variability of Southern rock lobster (Jasus edwardsii) postlarvae
<p><span>Environmental conditions experienced during larval dispersal of marine organisms can determine size-at-settlement of recruits. It is, therefore, not uncommon that larvae undergoing different dispersal histories would exhibit phenotypic variability at recruitment. Here we investigated morphological differences in recently settled southern rock lobster (<em>Jasus</em> <em>edwardsii</em>) recruits, known as pueruli, along a latitudinal and temporal gradient on the east coast of Tasmania, Australia. We further explored whether natural selection could be driving morphological variation. We used double digest restriction-site associated DNA sequencing (ddRADseq) to assess differences in genetic structure of recently settled recruits on the east coast of Tasmania over three months of peak settlement during 2012 (August, September and October). Phenotypic differences in pueruli between sites and months of settlement were observed, with significantly smaller individuals found at the northernmost site. Also, there was a lack of overall genetic divergence; however, significant differences in pairwise FST values between settlement months were observed at the southernmost study site, located at an area of confluence of ocean currents. Specifically, individuals settling into the southernmost earlier in the season were genetically different from those settling later. The lack of overall genetic divergence in the presence of phenotypic variation indicates that larval environmental history during dispersal of <em>J</em>. <em>edwardsii</em> could be a possible driver of the resulting phenotype of settlers.</span></p>
Data for Bradter, Altringham, Kunin, Thom, O'Connell & Benton: Variable ranking and selection with random forest for unbalanced data. Environmental Data Science
<p>The data are used in 'Bradter, Altringham, Kunin, Thom, O'Connell & Benton: Variable ranking and selection with random forest for unbalanced data. Environmental Data Science' and are described in the ReadMe file and in the manuscript and Supporting information.</p>
The concurrent assessment of agronomic, ecological, and environmental variables enables better choice of agroecological service crop termination management
<p>1. Although organic farming was originally promoted as an alternative farming system to address agronomic, environmental, and ecological issues, its conventionalisation has led to an intensification and specialisation of production. In light of this, several studies have questioned the environmental benefits of organic farming as well as its agronomic viability. Thus, there is a need to improve organic vegetable systems to reduce their environmental impact without affecting their productivity. To tackle this challenge, European farmers and researchers have recently started to focus on agroecological service crops (ASCs). However, few studies have simultaneously evaluated the agronomic, environmental, and ecological aspects of ASC management under different European pedo-climatic conditions.</p> <p>2. We evaluated effects of the ASC management strategies: no-till roller crimping (NT-RC) and green manuring (T-GM) on cropping system performance using agronomic, environmental, and ecological indicators, to exemplify the need for multidimensional analysis to understand management implications for addressing environmental and agronomic challenges. We combined the results from eleven organic vegetable field trials conducted in seven European countries over a period of two years to test for general trends.</p> <p>3. Our results provide solid evidence that NT-RC management across different pedo-climatic conditions in Europe enhances the activity density of ground and rove beetles, and improves both the potential energy recycling within the system and weed control. However, in NT-RC plots lower cash crop yield and quality, energetic efficiency of production, and activity density of spiders was observed compared to T-GM.</p> <p>4. Synthesis and applications: Multidimensional analyses using agronomic, environmental, and ecological indicators are required to understand the implications of agricultural management in agroecosystem functioning. Introducing agroecological service crops combined with the use of no-till roller crimping is a promising strategy for improving agronomic performance (e.g., fewer weeds) and reducing environmental (e.g., increasing the potentially recyclable energy), and ecological (e.g., enhancing the activity density of beneficial taxa such as ground and rove beetles) impacts. However, our study also indicates a need for agronomic and environmental improvements while promoting a wider acceptance of this strategy.29-Nov-2021 --</p>
Data from: Environmental and climate variability drive population size of annual penaeid shrimp in a large lagoonal estuary
<p>Species with short life spans frequently show a close relationship between population abundance and environmental variation making these organisms potential indicator species of climatic variability. White (<em>Penaeus</em> <em>setiferus</em>), brown (<em>P</em>. <em>aztecus</em>), and pink (<em>P</em>. <em>duorarum</em>) penaeid shrimp typically have an annual life history and are of enormous ecological, cultural, and economic value to the southeastern United States and Gulf of Mexico. Within North Carolina, all three species rely on the Pamlico Sound, a large estuarine system that straddles Cape Hatteras, one of the most significant climate and biogeographic breaks in the world, as a nursery area. These characteristics make penaeid species within the Pamlico Sound a critical species-habitat complex for assessing climate impacts on fisheries. However, a comprehensive analysis of the influence of the environmental conditions that influence penaeid shrimp populations has been lacking in North Carolina. In this study, we used more than 30 years of data from two fishery-independent trawl surveys in the Pamlico Sound to examine the spatial distribution and abundance of adult brown, white, and pink shrimp and the environmental drivers associated with adult shrimp abundance and juvenile brown shrimp recruitment using numerical models. Brown shrimp recruitment models demonstrate that years with higher temperature, salinity, offshore windstress, and North Atlantic Oscillation phase predict increased abundance of juveniles. Additionally, models predicting adult brown, white, and pink shrimp abundance illustrate the importance of winter temperatures, windstress, salinity, the North Atlantic Oscillation index, and the abundance of spawning adult populations from the previous year on shrimp abundance. Our findings show a high degree of variability in shrimp abundance is explained by climate and environmental variation and indicate the importance of understanding these relationships in order to predict the impact of climate variability within ecosystems and develop climate-based adaptive management strategies for marine populations.</p>
Killer whale acoustic patterns respond to prey abundance and environmental variability around the Prince Edward Islands, Southern Ocean
<p>Killer whales are apex predators with temporally and spatially varying distributions throughout the world’s oceans. Their ecology and behaviour are poorly understood in most regions due to limited research, often because of logistical challenges. Here, we use easily deployable year-round passive acoustic monitoring device to investigate the seasonal acoustic occurrence and diel vocalizing behaviour of killer whales around the remote sub-Antarctic Prince Edward Islands (PEIs), Southern Ocean. Killer whales showed diel vocalizing patterns that varied seasonally in relation to their prey abundance and social activities. Killer whale calls were intermittently detected year-round with a high number of hours containing calls in October through December, and a secondary peak in March through May, which corresponded to the abundance of seal prey. Random forest modelling identified wind speed as an important predictor of the occurrence of killer whale calls whilst sea surface height, chlorophyll-a, and sea surface temperature were moderately important. We provide the first acoustic evidence that killer whale occurrence around PEIs coincide with variability in environmental conditions and prey abundance. Our results provide the first indication of diel vocalizing pattern of killer whales in the Southern Ocean. This knowledge is important for understanding killer whale ecology and adaptation to the changing oceans.</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>
Data from: Disentangling genetic from environmental effects on phenotypic variability of Southern rock lobster (Jasus edwardsii) postlarvae
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The concurrent assessment of agronomic, ecological, and environmental variables enables better choice of agroecological service crop termination management
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Data from: Variable hybridization outcomes in trout are predicted by historical fish stocking and environmental context
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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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Data from: Environmental variability and acoustic signals: A multilevel approach in songbirds
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Pearson correlation tests for environmental variables, Student t-test for range shift and comparisons for habitat loss in 2070
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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)
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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.