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93 results for “Environmental History”
Research data for "Hutters in the Zamoyski Family Entail - history of an environmentally conditioned social group"
<p>Research data for "Hutters in the Zamoyski Family Entail - history of an environmentally conditioned social group" (v1_2024)</p>
Effects of genetic vs. environmental quality on condition-dependent morphological and life history traits in a neriid fly
<p>Condition is assumed to reflect both genes and environment, enabling condition-dependent signals to reveal genetic quality. However, because the phenotypic effects of variation in genetic quality could be masked by environmental heterogeneity, the contribution of genetic quality to phenotypic variation in fitness-related traits and condition-dependent signals remains unclear. We compared effects of ecologically relevant manipulations of environmental quality (nutrient dilution in the larval diet) and genetic quality (one generation of inbreeding) on male and female morphology, life history and reproductive performance in the neriid fly <em>Telostylinus angusticollis</em>. We found that larval diet quality had strong, positive effects on male and female body size, male secondary sexual traits, and aspects of male and female reproductive performance. By contrast, inbreeding had weak effects on most traits, and no trait showed clear and consistent effects of both environmental and genetic quality. Indeed, inbreeding effects on body size and male competitive performance were of opposite sign in rich vs. poor larval diet treatment groups. Our results suggest that environmental quality strongly affects condition, but the effects of genetic quality are subtle and environment-dependent in this species. These findings raise questions about the genetic architecture of condition and the potential for condition-dependent traits to function as signals of genetic quality.</p>
FIGURE 5 in Environmental predictors of the life history of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 5 | Estimated standard length where 50% (L50) and 100% (L100) of the population reached sexual maturity for males (A) and females (B) of Hyphessobrycon heterorhabdus sampled between March 2019 and January 2020 in streams of the Guamá River basin, Eastern Amazon, State of Pará, Brazil.
FIGURE 3 in Environmental predictors of the life history of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 3 | Gonadosomatic Index Variation (GSI) of males (A) and females (B) and gonadal maturation stage of males (C) and females (D) of Hyphessobrycon heterorhabdus sampled between March 2019 and January 2020 in the Guamá River basin, Eastern Amazon, State of Pará, Brazil. The dashed line represents the accumulated monthly rainfall.
FIGURE 6 in Environmental predictors of the life history of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 6 | Variation in the oocyte diameter of Hyphessobrycon heterorhabdus sampled between March 2019 and January 2020 in streams of the Guamá River basin, Eastern Amazon, State of Pará, Brazil (A). The dashed black line indicates the minimum diameter of the vitellogenic oocytes. Mature ovary with oocytes in different stages of maturation (B). Photomicrograph of mature (C) and spawned (D) ovary with oocytes in different stages of maturation: I, stage I oocyte; II, stage II oocyte; III, stage III oocyte; IV, stage IV oocyte; AO, atretic oocyte; POF, post ovulatory follicle.
FIGURE 2 in Environmental predictors of the life history of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 2 | Sex ratio of Hyphessobrycon heterorhabdus sampled between March 2019 and January 2020 in the Guamá River basin, Eastern Amazon, State of Pará, Brazil. Asterisk represents significant differences in sex ratio and the dashed line represents the accumulated monthly rainfall.
FIGURE 4 in Environmental predictors of the life history of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 4 |Variation of Condition Factor (K) for males (A) and females (B) ofHyphessobrycon heterorhabdus sampled between March 2019 and January 2020 in the Guamá River basin, Eastern Amazon, State of Pará, Brazil. The dashed line represents the accumulated monthly rainfall.
FIGURE 1 in Environmental predictors of the life history of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 1 | Location of the streams (black circles) in the Guamá River basin, Eastern Amazon, State of Pará, Brazil, where the specimens of Hyphessobrycon heterorhabdus were sampled between March 2019 and January 2020.
Fig. 1. Percival environmental chambers housing Eumaeus atala. A in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 1. Percival environmental chambers housing Eumaeus atala. A) Interior view of fabric housing cages in the Percival chambers and B) plastic 'deli-box' larval cages inside with host plant material and young Eumaeus atala larvae.
The effects of environmental history and thermal stress on coral physiology and immunity
<p>This dataset has all data for the manuscript (Wall CB, CA Ricci, GE Foulds, LD Mydlarz, RD Gates, HM Putnam (2018) The effects of environmental history and thermal stress on coral physiology and immunity. <em>Marine Biology</em>). Data included a zipped archive shape file for creating Kāne'ohe Bay map, physical data (light and temperature) from Kāne'ohe Bay and laboratory experiments, pCO<sub>2</sub> data for Kāne'ohe Bay reef sites dowloaded from NOAA PMEL, and biological responses (PAM fluorometry, physiology, immune activity and oxidative profile). </p>
Fig. 3 in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 3. Flow chart outlining factors that can influence the response of parasites to climate change.
FIGURE 1 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 1 | Sampled sites and forest fragments in the Machado River basin, Brazil. The inset map of Brazil depicts the relative location of the study area (black) within the Madeira River basin (dark gray), inside the Amazon biome (light gray).
FIGURE 4 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 4 | Explained variation of environmental contribution in turnover metrics partitioned by MRM and associated commonality analysis into pure local, shared and pure catchment components. RC = Raup-Crick; MPD = mean pairwise distance; MNTD = mean nearest taxon distance; all = all sampled streams; ref = streams with forested watersheds; new = streams with recently deforested watersheds; old = streams with historically deforested watersheds.
FIGURE 2 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 2 | Distribution of sampling sites with (A) forest patches ranked according to the forest quality multimetric index and (B) effective forest cover. Non-forested area is white and is not included in the multimetric index calculation (or legend).
FIGURE 3 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 3 | Standardized effect sizes for each taxonomic and functional turnover metric (mean and 95% confidence intervals). RC = Raup-Crick; MPD = mean pairwise distance; MNTD = mean nearest taxon distance; ref = streams with forested watersheds; new = streams with recently deforested watersheds; old = streams with historically deforested watersheds.
Slower environmental cycles maintain greater life-history variation within populations
<p>Populations in nature are comprised of individual life histories, whose variation underpins ecological and evolutionary processes. Yet the forces of environmental selection that shape intrapopulation life-history variation are still not well understood, and efforts have largely focused on random (stochastic) fluctuations of the environment. However, a ubiquitous mode of environmental fluctuation in nature is cyclical, whose periodicities can change independently of stochasticity. Here we test theoretically-based hypotheses for whether shortened ('Fast') or lengthened ('Slow') environmental cycles should generate higher intrapopulation variation of life history phenotypes. We show, through a combination of individual-based modelling and a multi-generational laboratory selection experiment using the tidepool copepod Tigriopus californicus, that slower environmental cycles maintain higher levels of intrapopulation variation. Surprisingly, the effect of environmental periodicity on variation was much stronger than that of stochasticity. Thus, our results show that periodicity is an important facet of fluctuating environments for life-history variation.</p>
Figure 4 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 4. Selected species representations at WJ99. Species are sorted by those that show decline into the Holocene (blue), those whose values generally do not show particular decline or increase during the Holocene Climatic Optimum (gold), and those whose numbers appear to be affected—decline or increase—during the Holocene Climatic Optimum (red). Grey shading indicates approximate timing of peak Holocene Climatic Optimum conditions.
Figure 1 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 1. Map of SE Australian Alps and region, indicating locations of sites with faunal material mentioned in text.
Figure 3 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 3. Summary of known environmental shifts during the early to middle Holocene from SE Australia, chronologically related to notable temporal changes within (and environmental inferences from) the faunal composition of WJ99. * Approximate calibrated date ranges inferred from original uncalibrated dates.
Figure 2 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 2. Representative (east and south) sections of WJ99 Square 10B, showing locations of AMS radio-
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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.