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217 results for “ecological association”
Interagency Ecological Program: Fish catch and associated water quality for the Fall Midwater Trawl Survey, Sacramento-San Joaquin Delta, 1967-2024
The Interagency Ecological Program’s (IEP) Fall Midwater Trawl Survey (FMWT) is a long-term monitoring survey conducted by the California Department of Fish and Wildlife (CDFW) and has sampled annually since its inception in 1967, with the exceptions of 1974 and 1979, when sampling was not conducted. The FMWT was initiated to determine the relative abundance and distribution of age-0 Striped Bass (Morone saxatilis) in the San Francisco Estuary (California, United States), but the data has also been used for other upper estuary pelagic species, including Delta Smelt (Hypomesus transpacificus), Longfin Smelt (Spirinchus thaleichthys), American Shad (Alosa sapidissima), Splittail (Pogonichthys macrolepidotus), and Threadfin Shad (Dorosoma petenense). The FMWT currently samples 130 stations each month from September to December and a subset of this data is used to calculate an annual abundance index. These 130 stations range from San Pablo Bay upstream to Stockton on the San Joaquin River, and West Sacramento on the Sacramento Deep Water Ship Channel. FMWT sampling data includes 193 unique station locations throughout the San Francisco Estuary; 63 are not currently sampled. Most stations no longer sampled occur in South and Central San Francisco Bay (1968-1979), with others located in San Pablo Bay and upstream into the Delta. There are catch records for stations that were sampled only once. Data users are encouraged to look at station frequency over time to understand when and where sampling occurred. Sampling takes approximately 14 days per month to complete. Historically, FMWT sampling occasionally began as early as July (1972) or August (1968-1973, 1993-1994, 1996-1997) and sometimes continued past December to March (1968-1973, 1978, 1991-2001) or beyond (1992-1995). The Spring Midwater Trawl (SMWT) was a modified survey created to continue sampling January-March to track movements of mature adult delta smelt from 1991-2001. SMWT was replaced in 2002 with the more e
Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration
<p>Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020. </p>
Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa
In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P < 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa
In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P < 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
Text-fig. 8. SEM (a, b) and SRXTM (c, d) images of fruit associated with Miranthus elegans and Miranthus kvacekii; Mira locality, Portugal. a: Apical view of capsular fruit with five, partly open valves revealing the enclosed reticulate seeds (arrows). b: Detail of fruit wall showing an enclosed seed (arrow). c: Transverse section (orthoslice xy1200) of fruit showing central column (cc) of placenta and numerous angular and bitegmic seeds; note that the outer integument (black arrow) is thicker than inner integument (white arrow). d: Longitudinal section (orthoslice yz1239) of fruit showing perigynous attachment of calyx, central column (cc) of the placenta and sections through seeds. Specimen, Mira 99-S156331 (a–d). Scale bars = 600 µm (a, c, d), 200 µm (b). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 8. SEM (a, b) and SRXTM (c, d) images of fruit associated with Miranthus elegans and Miranthus kvacekii; Mira locality, Portugal. a: Apical view of capsular fruit with five, partly open valves revealing the enclosed reticulate seeds (arrows). b: Detail of fruit wall showing an enclosed seed (arrow). c: Transverse section (orthoslice xy1200) of fruit showing central column (cc) of placenta and numerous angular and bitegmic seeds; note that the outer integument (black arrow) is thicker than inner integument (white arrow). d: Longitudinal section (orthoslice yz1239) of fruit showing perigynous attachment of calyx, central column (cc) of the placenta and sections through seeds. Specimen, Mira 99-S156331 (a–d). Scale bars = 600 µm (a, c, d), 200 µm (b).
Results and code associated with «Predictability of ecological and evolutionary dynamics in a changing world»
<p>Below you'll find results and code associated with the following article (*):</p> <p>Bozzuto, C, Ives, AR (2024): Predictability of ecological and evolutionary dynamics in a changing world. <em>Proceedings of the Royal Society B</em>, <strong>291</strong>: 20240980. https://doi.org/10.1098/rspb.2024.0980</p> <p>ABSTRACT: Ecological and evolutionary predictions are being increasingly employed to inform decision-makers confronted with intensifying pressures on biodiversity. For these efforts to effectively guide conservation actions, knowing the limit of predictability is pivotal. In this study, we provide realistic expectations for the enterprise of predicting changes in ecological and evolutionary observations through time. We begin with an intuitive explanation of predictability (the extent to which predictions are possible) employing an easy-to-use metric, predictive power <em>PP</em>(<em>t</em>). To illustrate the challenge of forecasting, we then show that among insects, birds, fishes and mammals, (i) 50% of the populations are predictable at most 1 year in advance and (ii) the median 1-year-ahead predictive power corresponds to a prediction <em>R</em><sup>2</sup> of only 20%. Predictability is not an immutable property of ecological systems. For example, different harvesting strategies can impact the predictability of exploited populations to varying degrees. Moreover, incorporating explanatory variables, accounting for time trends and considering multivariate time series can enhance predictability. To effectively address the challenge of biodiversity loss, researchers and practitioners must be aware of the information within the available data that can be used for prediction and explore efficient ways to leverage this knowledge for environmental stewardship.</p> <p>(*) previously a preprint on <em>bioRxiv</em>: https://doi.org/10.1101/2023.11.01.565089</p>
FIGURE 7 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 7. (Scale bar is 10 µm; EF is England Finder Reading). 1. Azolla cretacea Stanley, 1965; Slide no. BG2 S1; EF L55. 2. Cyathidites australis Couper, 1953 Slide no. BGVN L2; EF Q56. 3. Gabonisporis vigourouxii Boltenhagen, 1967; Slide no. BGVN E4; EF Q52. 4. Aquilapollenites bengalensis Baksi and Deb ex. Samant et al., 2013; Slide no. BGVN 1C6; EF N-34/1. 5. Jiangsupollis sp.; Slide no. BGVN L4, EF 45/1. 6. Proxapertites sulcatus Jaramillo et al., 2011; Slide no. BGVN E4, EF R31/1.
FIGURE 6. 1 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 6. 1. SEM photograph of Centropyxis aculeata (Ehrenberg, 1832). 2. SEM photographs of the centric diatom Pantocsekiella sp. (internal valve view) on the test of Centropyxis aculeata (Ehrenberg, 1832). 3 and 5. SEM photographs of the pennate diatom Achnanthes sp. on the test of Centropyxis aculeata (Ehrenberg, 1832). 4. SEM photograph of the pennate diatom Oricymba sp. on the wall of Centropyxis aculeata (Ehrenberg, 1832). 6. SEM photograph of the pennate diatom Diadesmis sp. on the wall of Centropyxis aculeata (Ehrenberg, 1832).
FIGURE 4 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 4. Location of the Bagwanya Intertrappean outcrop, showing lithostratigraphy of the section and correspond- ing lithology of the arcellinidan-bearing horizons.
FIGURE 5 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 5. (Scale bar for figures 1-6 is 10 µm; EF is England Finder Reading). 1-3. LM photograph of Centropyxis aculeata (Ehrenberg, 1832); 1. Slide no. 1A6, EF H48; 2. 1A3, EF K 40/2; 3. 1A4, EF K40/3. 4. LM photograph of Centropyxis aculeata (Ehrenberg, 1832) with big xenosomes of silica; Slide no 1A4, EF O61/2. 5-6. LM photograph of Centropyxis aculeata (Ehrenberg, 1832) showing presence of xenosomes of variety of diatoms as well as silica grains on the test; 5. Slide no 1A3, EF U38; 6. 1A1, EF E56/1. 7. SEM photograph of Centropyxis aculeata (Ehrenberg, 1832) showing presence of xenosomes of silica. 8. SEM showing magnified view of the same as 7. 9. SEM photograph of Centropyxis aculeata (Ehrenberg, 1832) showing presence of xenosomes of diatoms on the test. 10. SEM photograph of Centropyxis aculeata (Ehrenberg, 1832) showing presence of xenosomes of centric diatoms and silica grains on the test. 11-12 and 15 Centric diatom Cyclotella sp. on the test of Centropyxis aculeata (Ehrenberg, 1832). 13,14. SEM photographs of Centropyxis aculeata (Ehrenberg, 1832).
FIGURE 2 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 2. Palaeoposition of India - Seychelles during the Cretaceous - Tertiary transition (65 Ma ago), showing the geographical distribution of the Deccan Continental Flood Basalt (DCFB), commonly known as the Deccan Traps. Location of the Deccan-Reunion Hotspot is shown in relation to the geographic limits of the DCFB. The red asterisk marks the location of the Bagwanya Intertrappean outcrop (modified after Chatterjee et al., 2006).
FIGURE 1 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 1. Map showing the central regions of India covered by the Malwa Group, and the location of the Bagwanya Intertrappean outcrops. Green areas are the extent of the Deccan Continental Flood Basalt (DCFB).
FIGURE 3 in Centropyxis aculeata (testate lobose amoebae) and associated diatoms from the intertrappean lacustrine sediments (Maastrichtian) of central India: Implications in understanding paleolake ecology
FIGURE 3. Palaeoposition of India during the Maastrichtian (68 Ma), showing its location south of the Equator. The red asterisk shows location of the Bagwanya Intertrappean outcrop (modified after Scotese, 2014).
Fig. 2 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 2. Mortality of Drosophila melanogaster (A) and Drosophila suzukii (B) adults exposed to varying concentrations of ethanol.
Fig. 4 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 4. ADH and ALDH activity levels of Drosophila melanogaster and Drosophila suzukii exposed to ethanol. (A) ADH activity in Drosophila melanogaster; (B) ALDH activity in Drosophila melanogaster; (C) ADH activity in Drosophila suzukii; (D) ALDH activity in Drosophila suzukii. Different letters in each figure (A, B, C, D) indicate a significant difference between adults and larvae (One-way ANOVA: α = 0.05).
Fig. 3 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 3. Mortality of Drosophila melanogaster and Drosophila suzukii larvae exposed to varying concentrations of ethanol.
Fig. 1 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 1. Ethanol (A) and acetaldehyde (B) contents of grapes infested by Drosophila melanogaster and Drosophila suzukii.
Figure 2 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 2. Spatial distribution of records of Friedmann's Lark Mirafra pulpa records in relation to the cindercone formations of the Dukana / Huri Hills in Kenya (KE) and Ethiopia (ET), and the Nyambeni and Chyulu Hills in Kenya. Records extend to Tanzania (TZ).
Figure 1 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 1(a) Monthly (1912–2018) and (b) annual (since 1972) summaries of Friedmann's Lark Mirafra pulpa records.
Figure 3 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 3. Satellite imagery (© Google Earth) showing the denser grassland and poorer drainage (evidenced by abundant water pans) that characterise white ash-based soils (right side) in comparison to red soils (left side) in the Kilaguni Lodge area of Tsavo West National Park (Kenya).
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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.