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11,506 results for “Dynamics”
Figure 3 in Population dynamics and phenology of two congeneric and sympatric lynx spiders Peucetia rubrolineata Keyserling, 1877 and Peucetia flava Keyserling, 1877 (Oxyopidae)
Figure 3. Population fluctuation of Peucetia rubrolineata and Peucetia flava (Oxyopidae) in 100 and 200 plants, respectively, of Trichogoniopsis adenantha (Asteraceae).
Figure 8 in Population dynamics and phenology of two congeneric and sympatric lynx spiders Peucetia rubrolineata Keyserling, 1877 and Peucetia flava Keyserling, 1877 (Oxyopidae)
Figure 8. Circular histograms of the frequency of the age structure established for the population of Peucetia flava (Oxyopidae) from July 2013 to December 2015 in Serra do Japi, SP, Brazil. The black line vector inside the circle indicates the angular mean or direction of the data. The transverse line in the sector outside the circle indicates the 95% confidence interval.
Figure 4 in Hatching phenology, life history and population dynamics of the Oriental clam shrimp Eulimnadia indocylindrova Durga Prasad and Simhachalam with notes on phenology patterns in the Spinicaudata
Figure 4. Cyclical hydration experiment: (a) trend of hatching (mean ± SE) observed per day for a hydroperiod of 10 days, for six successive hydrations; (b) emergence (mean ± SE) observed across six successive hydrations; (c) hatching duration, Td (mean ± SE) in days for six successive hydrations.
Figure 3 in Hatching phenology, life history and population dynamics of the Oriental clam shrimp Eulimnadia indocylindrova Durga Prasad and Simhachalam with notes on phenology patterns in the Spinicaudata
Figure 3. Continuous hydration experiment: (a) No. of hatched nauplii (mean ± SE) seen per day for the 30-day inundation; (b) emergence pattern (No. of emerging nauplii mean ± SE) observed per 10 days for the 30-day inundation.
Figure 2 in Hatching phenology, life history and population dynamics of the Oriental clam shrimp Eulimnadia indocylindrova Durga Prasad and Simhachalam with notes on phenology patterns in the Spinicaudata
Figure 2. Field data and morphometry: (a) temporal patterns of sex-ratio and number of eggbearing hermaphrodites recorded in field samples (2016); (b) number of individuals of different carapace length size ranges across 3 years; (c) relationship between body length and carapace length of adult individuals; (d) relationship between body height and carapace height of adult individuals.
Spatio-temporal dynamics of abiotic and biotic properties explain biodiversity-ecosystem functioning relationships
<p>There is increasing evidence that spatial and temporal dynamics of biodiversity and ecosystem functions play an essential role in biodiversity-ecosystem functioning (BEF) relationships. Despite the known importance of soil processes for forest ecosystems, belowground functions in response to tree diversity and spatio-temporal dynamics of ecological processes and conditions remain poorly described. We propose a novel conceptual framework integrating spatio-temporal dynamics in BEF relationships and hypothesized a positive tree species richness effect on soil ecosystem functions through the spatial and temporal stability of biotic and abiotic soil properties based on species complementarity and asynchrony. We tested this framework within a long-term tree diversity experiment in Central Germany by assessing soil ecosystem functions (soil microbial properties and litter decomposition) and abiotic variables (soil moisture and surface temperature) for two consecutive years in high spatial and temporal resolution. Tree species richness and identity had significant effects on soil properties (e.g., soil microbial biomass). Structural equation modeling revealed that overall soil microbial biomass was partly explained by (a) enhanced temporal stability of soil surface temperature and (b) decreased spatial stability of soil microbial biomass. Overall, spatial stability of soil microbial properties was positively correlated with their temporal stability. These results suggest that spatio-temporal dynamics are indeed crucial determinants in BEF relationships and highlight the importance of vegetation-induced microclimatic conditions for stable provisioning of soil ecosystem functions and services.</p>
Figure 4 in Population dynamics of the bark-dwelling spider Eustala perfida Mello-Leitão, 1947 (Araneidae)
Figure 4. (a) Adult male (green) and adult female (brown) of Eustala perfida on the same orb web parallel to a tree bark. Close-ups of the (b) adult male and (c) adult female. Green adult females of E. perfida and the spider's egg sac (d) in natural conditions and (e) in laboratory. Scale bars: 5 mm. Photography: Yuri Fanchini Messas.
Figure 8 in Population dynamics of the bark-dwelling spider Eustala perfida Mello-Leitão, 1947 (Araneidae)
Figure 8. Number of arthropods captured by Eustala perfida (observed) and number expected based on the frequencies of arthropods intercepted in the sticky traps. (a) Numbers by prey type (order or suborder). DI: Diptera, HY: Hymenoptera, CO: Coleoptera, AU: Auchenorrhyncha, AR: Araneae, PS: Psocoptera, HE: Heteroptera, LE: Lepidoptera. (b) Numbers by body classes. Orders with frequencies lower than 1% were not placed in the figure (see Table 5).
Figure 2 in Population dynamics of the bark-dwelling spider Eustala perfida Mello-Leitão, 1947 (Araneidae)
Figure 2. Circular histogram of abundance of the Eustala perfida population. Black vector line inside the circle indicates the mean angle; transverse line on the external sector of the circle indicates the confidence interval (95%).
Figure 1 in Population dynamics of the bark-dwelling spider Eustala perfida Mello-Leitão, 1947 (Araneidae)
Figure 1. Climatic diagram of Serra do Japi, São Paulo, Brazil, registering the temperature and precipitation of the period between 2011 and 2013. Areas containing vertical lines in white areas indicate humid periods; vertical lines in dark areas, super-wet periods; and dotted areas, dry periods.
Figure 7 in Population dynamics of the bark-dwelling spider Eustala perfida Mello-Leitão, 1947 (Araneidae)
Figure 7. Circular frequency histograms of adult females and adult males of Eustala perfida. The black vector line inside the circle indicates the mean angle or direction of the data. The transverse line on the external sector of the circle indicates the confidence interval of 95%.
Figure 6 in Population dynamics of the bark-dwelling spider Eustala perfida Mello-Leitão, 1947 (Araneidae)
Figure 6. Circular histograms of age structure established for the population of Eustala perfida. The black vector line inside the circle indicates the mean angle or direction of the data. The transverse line on the external sector of the circle indicates the confidence interval of 95%.
Figure 2 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 2. Vertical profiles of temperature (◦C) (A, B) and salinity (PSU) (C, D) at station J23 in 2006 and 2007, respectively.
Figure 6 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 6. Mean abundance of Pseudocalanus minutus elongatus from all stations and station J23 in the Gulf of Gdańsk for 2006 and 2007.
Figure 5 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 5. Vertical profiles of abundance (ind. m–3) of nauplii, CI to CV and adults (females and males) at station J23 for 2006 and 2007.
Figure 9 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 9. Total biomass (mg C m–3) of Pseudocalanus minutus elongatus as vertical mean concentrations at three stations (1, 2, 3 = J23) in the Gulf of Gdańsk; numerical simulations.
Figure 4 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 4. Stage structure of Pseudocalanus minutus elongatus in the Gulf of Gdańsk at station J23 for 2006 and 2007.
Figure 3 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 3. Taxonomical structure of Copepoda in the Gulf of Gdańsk (southern Baltic Sea) including data from all stations for 2006 and 2007.
Figure 11 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 11. Observed and simulated (based on monthly averaged) biomasses (mgm–3) of w.w. Pseudocalanus minutus elongatus at station J23 = 3 in the Gulf of Gdańsk. Calculated average values of all stations are also presented.
Figure 7 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 7. Weighted mean depth (WMD) of nauplii (N), copepodites (C1–3, C4–5) and adult (F, M) stages of Pseudocalanus minutus elongatus at station J23 in the Gulf of Gdańsk.
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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.