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294 results for “temporal pattern”
Fig. 4 in Spatial and temporal distribution patterns of ichthyoplankton in a region affected by water regulation by dams
Fig. 4. Average abundance of fish eggs (a) and larvae (b) in the Ilha Grande National Park, from October 2001 to March 2005.
Fig. 2 in Spatial and temporal distribution patterns of ichthyoplankton in a region affected by water regulation by dams
Fig. 2. Average egg abundances (rectangles) and standard errors (bars) by period (a), month (b) and sampling area (c) in the Ilha Grande National Park, from October 2001 to March 2005.
Spacial and temporal genetic pattern of Semaprochilodus insignis (Prochilodontidae), the most popular fish from the Amazon basin
<p>Dataset of 8 genotyped microsatellite loci for 180 individuals of Semaprochilodus insignis from 11 locations in the Amazon basin.</p>
Climate-driven spatial and temporal patterns in peatland pool biogeochemistry
<p>This archive entry contains the original datasets used in the article "Climate-driven spatial and temporal patterns in peatland pool biogeochemistry" as CSV files. The Global_dataset.csv file is a synthesis of the morphological, biogeochemical and climate properties of peatland pools from eastern Canada, southern Patagonia, and the United Kingdom and comprises a total of 240 observations. The GPB_full_dataset.csv file includes the morphological and biogeochemical properties of nine pools of a peatland of eastern Canada that have been sampled regularly over the 2016 to 2021 summers. The GPB_aggregated_dataset.csv file shows the average pool biogeochemical and climate properties of the same peatland of eastern Canada, for 50-day windows between day of year 150 to 300. Statistical analyses shown in the "Climate-driven spatial and temporal patterns in peatland pool biogeochemistry" article are based on the GPB_aggregated_dataset.csv dataset.</p>
Pattern of seasonal variation in rates of predation between spider families is temporally stable in a food web with widespread intraguild predation
<p>Intraguild predation (IGP) – predation between generalist predators (IGPredator and IGPrey) that potentially compete for a shared prey resource – is a common interaction module in terrestrial food webs. Understanding temporal variation in webs with widespread IGP is relevant to testing food web theory. We investigated temporal constancy in the structure of such a system: the spider-focused food web of the forest floor. Multiplex PCR was used to detect prey DNA in 3,300 adult spiders collected from the floor of a deciduous forest during spring, summer, and fall over four years. Because only spiders were defined as consumers, the web was tripartite, with 11 consumer nodes (spider families) and 22 resource nodes: 11 non-spider arthropod taxa (order- or family-level) and the 11 spider families. Most (99%) spider-spider predation was on spider IGPrey, and ~90% of these interactions were restricted to spider families within the same broadly defined foraging mode (cursorial or web-spinning spiders). Bootstrapped-derived confidence intervals (BCI's) for two indices of web structure, restricted connectance and interaction evenness, overlapped broadly across years and seasons. A third index, % IGPrey (% IGPrey among all prey of spiders), was similar across years (~50%) but varied seasonally, with a summer rate (65%) ~1.8x higher than spring and fall. This seasonal pattern was consistent across years. Our results suggest that extensive spider predation on spider IGPrey that exhibits consistent seasonal variation in frequency, and that occurs primarily within two broadly defined spider-spider interaction pathways, must be incorporated into models of the dynamics of forest-floor food webs. </p>
Pattern of seasonal variation in rates of predation between spider families is temporally stable in a food web with widespread intraguild predation
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Data from: Fate of atmospherically deposited NH4+ and NO3- in two temperate forests in China: temporal pattern and redistribution
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Spatial and temporal patterns of habitat use and availability in upper Coweeta Creek from 1996 to 1998
I collect data describing total depth, mean current velocity and substrate characteristics (% - silt, debris, sand, gravel, cobble, boulder and bedrock) at 100 random points along 1 m transects within each 100 m site. Data are collected seasonally to investigate spatial and temporal patterns of habitat variability in upper Coweeta Creek. Flow data will be used to elucidate whether changes in habitat characteristics are correlated with high flow events.
The influence of human disturbances on the spatio-temporal habitat selection patterns of roe deer near Trento (Italy)
<p>This is the dataset used for the MSc. thesis of Matthijs Hinkamp for the master Earth Sciences (Environmental Management track) at the University of Amsterdam.</p> <p>In this thesis the Individual Movement Sequence Analysis Method (IM-SAM) was applied to analyse the influence of human disturbances on the sequential habitat use of roe deer in northern Italy. While it is known that in this area the roe deer populations are affected by anthropogenic pressures, the actual spatial and temporal implications of such pressures are unknown.</p> <p>The input for IM-SAM consisted of habitat sequences, which were obtained through tracking data from the Fondazione Edmund Mach, land use and land cover maps and temporal information. Based on exploratory dissimilarity trees for the real behavioural sequences, several simulation profiles were established, each with a different habitat use pattern.</p> <p>The results show that most roe deer prefer isolated forest areas, but alternating patterns are definitely present. Several co variables were assessed: the influence of the hunting season, increased pressure during weekends, differences between protected and unprotected areas and changes in the average NDVI. It seems that roe deer are affected by the hunting pressure in September. This month shows an increase in the prevalence of alternating profiles, which indicates that roe deer tend to change their habitat use during periods of the day when hunting takes place. It cannot be concluded that habitat use patterns are altered during the weekends and the differences between sequences in protected and unprotected areas seem to be relatively small. However, some results indicate that alternating habitat use is a strategy for some roe deer in protected areas. When looking at the NDVI values, it becomes clear that the average NDVI is higher overall for the alternating profiles, but this just underlines the general conclusions drawn about the habitat use strategies in September.</p>
Data from: Patterns of annual and seasonal immune investment in a temporal reproductive opportunist
Historically, investigations of how organismal investments in immunity fluctuate in response to environmental and physiological changes have focused on seasonally breeding organisms that confine reproduction to seasons with mild environmental conditions and abundant resources. The red crossbill, <i>Loxia curvirostra</i>, is a songbird that can breed opportunistically if conifer seeds are abundant, on both short, cold, and long, warm days, providing an ideal system to investigate interactions between immunity, reproduction, and environmental fluctuations. In this study, we measured inter- and intra-annual variation in complement, natural antibodies, PIT54, and leukocytes in crossbills across four summers (2010-2013) and multiple seasons within one year (summer 2011-spring 2012). Overall, we observed substantial changes in crossbill immune investment among summers, with interannual variation driven largely by food resources, while seasonal variation was less pronounced and lacked a dominant predictor of immune investment. However, we found weak evidence that physiological processes (e.g., reproductive condition, moult) or abiotic factors (e.g., temperature, precipitation) affect immune investment. Collectively, this study suggests that a reproductively flexible organism may simultaneously invest in both reproduction and survival-related processes, potentially by exploiting rich patches with abundant resources. More broadly, these results emphasize the need for more longitudinal studies of trade-offs associated with immune investment.
Data from: Spatial and temporal patterns of environmental DNA detection to inform sampling protocols in lentic and lotic systems.
<p>The development of efficient sampling protocols for the capture of environmental DNA (eDNA) could greatly help improve accuracy of occupancy monitoring for species that are difficult to detect. However, the process of developing a protocol in situ is complicated for rare species by the fact that animal locations are often unknown. We tested sampling designs in lake and stream systems to determine the most effective eDNA sampling protocols for two rare species: the Sierra Nevada yellow-legged frog (<i>Rana sierrae</i>) and the foothill yellow-legged frog (<i>R. boylii</i>). We varied water volume, spatial sampling, and seasonal timing in lakes and streams; in lakes we also tested multiple filter types. We found that filtering 2 L versus 1 L increased the odds of detection in streams 5.42X (95% CI: 3.2-9.19X) in our protocol, from a probability of 0.51 to 0.85 per technical replicate. Lake sample volumes were limited by filter clogging and we found no effect of volume or filter type. Sampling later in the season increased the odds of detection in streams by 1.96X for every 30 days (95% CI: 1.3 - 2.97X) but there was no effect for lakes. Spatial autocorrelation of the quantity of yellow-legged frog eDNA captured in streams between 100 and 200 m, indicating that sampling at close intervals is important.</p>
Data from: How temporal patterns in rainfall determine the geomorphology and carbon fluxes of tropical peatlands
Tropical peatlands now emit hundreds of megatons of carbon dioxide per year because of human disruption of the feedbacks that link peat accumulation and groundwater hydrology. However, no quantitative theory has existed for how patterns of carbon storage and release accompanying growth and subsidence of tropical peatlands are affected by climate and disturbance. Using comprehensive data from a pristine peatland in Brunei Darussalam, we show how rainfall and groundwater flow determine a shape parameter (the Laplacian of the peat surface elevation) that specifies, under a given rainfall regime, the ultimate, stable morphology, and hence carbon storage, of a tropical peatland within a network of rivers or canals. We find that peatlands reach their ultimate shape first at the edges of peat domes where they are bounded by rivers, so that the rate of carbon uptake accompanying their growth is proportional to the area of the still-growing dome interior. We use this model to study how tropical peatland carbon storage and fluxes are controlled by changes in climate, sea level, and drainage networks. We find that fluctuations in net precipitation on timescales from hours to years can reduce long-term peat accumulation. Our mathematical and numerical models can be used to predict long-term effects of changes in temporal rainfall patterns and drainage networks on tropical peatland geomorphology and carbon storage.
Temporal mismatches in flight activity patterns between Pipistrellus kuhlii and Prays oleae in Mediterranean olive farms: Implications for biocontrol services potential
<ol> <li>Biocontrol services are widely recognized as providing key incentives for bat conservation. However, we have virtually no information on whether and how disruptions in bat-mediated biocontrol services are driven by mismatches between the temporal activity patterns of insectivorous bats and insect pests.</li> <li>2. We investigated the temporal relationship between the nightly activity patterns of the common pipistrelle bat (<em>Pipistrellus</em> <em>kuhlii</em>) and the olive fruit moth (<em>Prays</em> <em>oleae</em>). Temporal mismatches between species pairs were estimated as the time difference (expressed as a percentage of the night) at which <em>P. kuhlii </em>and<em> P. oleae</em> reached 50% of their abundance.</li> <li>The study was carried out during spring, summer, and fall between 2017 and 2019 in 60 olive farms representing increasing levels of structural simplification (as a surrogate of agricultural intensification). Olive farms were classified as exhibiting high (i.e., HIGH olive farms; n = 27), intermediate (MID; n = 18), and low (LOW; n = 15) structural complexity. </li> <li>Temporal mismatches between the activity levels of<em> P. kuhlii </em>and<em> P. oleae</em> varied between seasons and types of olive farms, being comparatively lower in summer than in spring and fall. Furthermore, summer was the only season in which temporal mismatches between species pairs differed between types of olive farms, with higher temporal mismatches found in LOW than in HIGH and MID olive farms.</li> <li>Overall, our work demonstrates the existence of temporal mismatches between the nightly activity patterns of <em>P. kuhlii </em>and<em> P. oleae</em>. Furthermore, it demonstrates that the structural simplification of olive farms increases temporal mismatches between species pairs, particularly in summer when bat-mediated biocontrol services are most needed.</li> <li> <em>Synthesis and applications</em>. Future research should consider mismatches between the temporal activity patterns of insectivorous bats and insect pests. Otherwise, the actual impact of agricultural intensification on bat-mediated biocontrol services as well as the economic impact of their loss on the agriculture industry might be underestimated. To enhance biocontrol services, we propose increasing the availability of suitable roosting and foraging sites as well as conserving areas of remnant native woodland and scattered hollow-bearing trees.</li> </ol>
Individual and temporal variation in movement patterns of wild alpine reindeer and implications for disease management
<p>Animal behaviour is important for prevalence and outbreaks of infectious diseases, for instance by affecting individual interactions. Increasing the knowledge of individual movement patterns can provide better insight into disease prevalence and spread, helping to target efforts to minimise disease outbreaks. Chronic wasting disease (CWD) is a fatal prion disease affecting cervids. CWD is transmitted by animal-to-animal contact and through the environment, thus individual variation in space use and social associations may influence disease transmission patterns and infection risk. CWD was detected in Norwegian alpine reindeer (<em>Rangifer tarandus</em>) in 2016, and eradication of the infected population was implemented. A 3:1 infection rate between males and females suggests sex-specific behavioural drivers. We utilised an extensive individual-based dataset of 149 GPS-marked wild reindeer to investigate individual variation in movement patterns in terms of inter- and intra-annual home range size and site fidelity, and variation in home range overlap and distances between individuals. We aimed to identify patterns which could indicate higher potential disease risk. Females had larger annual and seasonal home ranges than males, except during calving and rut. Greater home range overlaps and shorter between-individual distances were found between same-sex individuals than different-sex individuals, except during the rut. Accordingly, the rut season stands out with greater male home ranges, greater home range overlap and shorter distances between males and between males and females, which could indicate that this season is critical for disease transmission. Measures to prevent disease spread should lower contact rates, e.g., by reducing the abundance of adult males before they mix with other groups during the rut. This can be achieved for instance by allowing earlier hunt on adult males when they are distributed in small male groups, to reduce the transmission risk and keep disturbance of other individuals low.</p>
Dataset on Spatial Analysis and Clustering of Deforestation in the Amazon Biome: Spatio-Temporal Patterns and Priority Areas
<p>The dataset was developed with the aim of facilitating the development of a methodology to identify and evaluate deforestation patterns and trends in the Amazon. This innovative method combines deforestation alerts from the Real-Time Deforestation Detection System (DETER) with detailed information on various land categories, including environmental protection areas, settlements, rural properties, undesignated public forests, indigenous lands, and conservation units. The integration of this robust data allowed for the precise identification of areas at risk of deforestation, significantly strengthening monitoring and control activities aimed at combating deforestation in the Amazon region.</p> <p> </p> <p><strong>Spatial resolution</strong></p> <p>The data are available with a spatial resolution of 25 x 25 km (625 km²) and cover the Amazon biome.</p> <p> </p> <p><strong>Temporal resolution </strong></p> <p>Period of observed data: 2017 and 2021</p> <p> </p> <p><strong>Coordinate reference system</strong> </p> <p>Geographic Coordinate System with Datum SIRGAS 2000 (EPSG:5880)</p> <p> </p> <p><strong>Data format</strong></p> <p>Data is provided as Shapefile.</p> <p> </p> <p><strong>Dataset usage</strong> </p> <p>It is free to use, but please make sure to cite the repository and our paper properly if you use this dataset.</p> <p> </p> <p><strong>Publication & further information</strong></p> <p>For additional scenario information, please contact Francisco Gilney Silva Bezerra (franciscogilney@gmail.com).</p>
Data for: Modeling of spatial pattern and influencing factors of cultivated land quality based on spatial-temporal big data (PONE-D-21-21084R1)
<p>The quality of cultivated land determines the production capacity of cultivated land and the level of regional development, and also directly affects the food security and ecological safety of the country. This paper starts from the perspective of spatial pattern of cultivated land quality and uses spatial autocorrelation analysis to study the spatial aggregation characteristics and differences of cultivated land quality in Henan Province at the county level scale, and also uses bivariate spatial autocorrelation to analyze the influence of neighboring influences on the quality of cultivated land in the target area. The spatial autoregressive model was used to further analyze the driving factors affecting the quality of cultivated land, and the influence of cultivated land area index was coupled in the process of rating analysis, which was finally used as a basis to propose more precise measures for the protection of cultivated land zoning. The results show that: (1) The quality of cultivated land in Henan Province has a strong spatial correlation (global Moran's I≈0.710) and shows an obvious aggregation pattern in spatial distribution; positive correlation types (high-high and low-low) are concentrated in north-central and western mountainous areas of Henan Province, respectively; negative correlation types are discrete. The negative correlation types are distributed in a discrete manner. (2) The bivariate spatial autocorrelation results show that Slope (Moran's I≈-0.505), Irrigation guarantee rate (IGR, 0.354), Urbanization rate (-0.255), Total agricultural machinery power (TAMP, 0.331) and Pesticide use (0.214) are the main influencing factors. (3) According to the absolute values of the regression coefficients, it can be seen that the magnitude of the influence of different factors on the quality of cultivated land is: Slope (0.089) >IGR (0.025) > Urbanization rate (0.002) > TAMP (0.001) > Pesticide use (1.96e-006). (4) Based on the spatial pattern presented by the spatial autocorrelation results, we proposed corresponding protection zoning measures to provide more scientific reference decisions and technical support for the implementation of refined cultivated land management in Henan Province. </p>
Predicting spatio-temporal population patterns of Borrelia burgdorferi, the Lyme disease pathogen
<p>The causative bacterium of Lyme disease, <em>Borrelia burgdorferi</em>, expanded from an undetected human pathogen into the etiologic agent of the most common vector-borne disease in the United States over the last several decades. Systematic field collections of the tick vector reveal increases in the geographic range and population size of <em>B. burgdorferi</em> that coincided with increases in human Lyme disease incidence across New York State. Here we investigate the impact of environmental features on the population dynamics of <em>B. burgdorferi</em>. Analytical models developed using field collections of nearly 19,000 nymphal <em>Ixodes scapularis </em>and spatially- and temporally-explicit environmental features accurately explained the variation of <em>B. burgdorferi </em>population sizes across space and time. Importantly, the model identified environmental features that can be used to predict the biogeographical patterns of <em>B. burgdorferi-</em>infected ticks into future years and in previously unsampled areas. Forecasting the distribution and abundance of a pathogen at fine geographic scales offers a powerful strategy to mitigate a serious public health threat.</p>
Using web-sourced photographs to examine temporal patterns in sex-specific diet of a highly sexually dimorphic raptor
<p><span>Traditional methods to study raptor diet are usually limited temporally, e.g., prey remains at nesting sites, and are unsuitable to examine dietary changes throughout the year. Using web-sourced photography, we explore temporal patterns in prey size and key prey species between sexes of the sexually dimorphic Eurasian Sparrowhawk (</span><em>Accipiter nisus</em>) throughout the United Kingdom. We examined 666 photographs of sparrowhawk on prey and identified the prey species involved, together with sparrowhawk sex. Changes in prey size and proportions of key prey species over time (seasonally and monthly) were explored for each sex. Prey weight was substantially higher for females than males. However, on average, prey size for both sexes declined during the summer period (May-June) being the lowest in June which is the main nestling-rearing month for both sparrowhawks and their prey. Compared to summer, Rock Doves (<em>Columba livia</em>) were more important prey for female sparrowhawk in winter. Whereas, for males, Eurasian Blackbirds (<em>Turdus merula</em>) were more important in spring compared to autumn. Web-sourced photography can overcome several limitations of previous methods used to study raptor diet including the ability to quantify diet between the sexes throughout the entire year, however, may also introduce a prey-size bias towards larger prey items.</p>
Spatio-temporal variation in deep soil water use patterns of overstory and understory layers in subtropical plantations predict community assembly
<p><span>1. </span><span>Deep soil water utilization allows plants to cope with drought stress. However, little is known about the roles of the understory layers in driving spatio-temporal variations of deep soil water in forests and how the patterns of deep soil water use among life forms contribute to community assembly processes.</span></p> <p><span>2. </span><span>We assessed the spatio-temporal patterns and determinants of deep water utilization of tree, shrub and herb layers in subtropical coniferous plantations and investigated associations between deep water use parameters and dominance and richness of understory vegetation. </span></p> <p><span>3. </span><span>We found that the understory layer had a higher reliance on deep soil water in the dry season, a larger seasonal plasticity of deep soil water uptake, but lower spatial variability in deep soil water utilization than the tree layer. We showed that greater reliance of the tree layer on deep soil water was associated with decreased shrub layer diversity, whereas greater reliance of the shrub layer on deep water was associated with increased herb layer diversity. </span></p> <p><span>4. </span><span>Synthesis</span><span>. Our results highlight the roles of understory layers in driving the temporal dynamics of deep soil water in forests and improve our understanding of how deep soil water use patterns amongst life forms shape community assembly in forests.</span></p>
Figure 1 in Circadian activity patterns and temporal overlap among cracids (Aves: Cracidae) within a vegetation mosaic in the Pantanal of Rio Negro, Brazil
Figure 1. Study area and location of the 90 camera trap stations in the Pantanal of Rio Negro, Aquidauana, Mato Grosso do Sul, Brazil.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.