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231 results for “growth patterns”
MCR LTER: Coral Reef: 3D photogrammetry improves measurement of growth and biodiversity patterns in branching corals; data for Curtis 2023, Coral Reefs
These data and code were generated in support of the manuscript: Curtis JS, Galvan JW, Primo A, Osenberg CW, and AC Stier, Coral Reefs. We collected manual and photogrammetry-based measurements of coral size and volume to examine which method best described short-term coral growth and links between coral habitat and biodiversity of CAFI (coral-associated fishes and invertebrates). This study was completed between August and December 2019 on an experimental array located in the back reef off the south shore of Moorea, French Polynesia. These data were published in Coral Reefs, analyses and full methods descriptions of this model can be found in the manuscript “3D photogrammetry improves measurement of growth and biodiversity patterns in branching corals”. This manuscript uses data collected by the U.S. National Science Foundation's (NSF) Moorea Coral Reef Long Term Ecological Research (MCR LTER) site under Grant No. OCE 2224354 (and earlier awards). Additional financial support to the MCR LTER site was provided through a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2023).
Data for: From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self-organised spatio-temporal pattern in population growth of a cyclic rodent
<p>Centroid data used for the analysis in Roos et al. Eco Lett.</p> <p>Transects, up to 99 m in length (dependent on the field's length), were surveyed in linear stable landscape features (field, track or ditch margins) to estimate vole abundance from November 2011 until September 2017. Each transect was divided into 3 m sections (33 in total) and the presence or absence of one or more signs of vole activity (i.e., latrines by burrows, fresh vegetation clippings, and recent burrow excavations) in each section was noted. The proportion of sections with signs of vole presence per transect was then used as the abundance index. The number of surveys carried out at any time varied adaptively with the perceived risk of an outbreak (according to changes in estimated abundance in previous monitoring surveys).</p> <p>The response variable typically used in all models is proportional growth rate (r_{t,i}, where is the abundance index for site at time (Royama 1992; Berryman 2002). A benefit of using r_{t,i}, rather than ln(N_{t,i}), is that any multiplicative effects of site quality are cancelled out, provided they are constant over time. To calculate r_{t,i}, vole abundance indices are required at the same location in successive time periods (i.e., N_{t,i} and N_{t+1,i}). Given that exact transect locations were rarely reused in successive months, and all transect measurements took place throughout the year rather than discrete seasons, the data had to be aggregated to consistent locations and times to allow growth rate to be calculated. As such, transects were temporally aggregated into a respective yearly quarter (e.g., January to March 2014). Transects were spatially aggregated by sequentially selecting an unassigned transect as a reference point for the ith centroid and assigning all unassigned transects within a 5 km radius to the ith centroid, and repeating until all transects had been allocated (see Figure 2 for a summary of the number of transects assigned to each centroid, centroid locations, and time series of growth rate of each centroid). Once complete, the mean Julian day, X and Y UTM (Universal Transverse Mercator) and the mean index was calculated for all transects assigned to each centroid for each time period. Where a centroid had successive values of N_{t,i} and N_{t+1,i} available, the corresponding proportional growth rate was calculated.</p> <p>A constant of 3.03 was added to N_{t,i} to avoid zero entries (3.03 was the lowest non-zero value of <em>N</em> observed). The final dataset consisted of 3,751 observations.</p>
Fig. 6 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 6. Regressions between radius of each increments and increments growth estimated in Prochilodus nigricans from Solimões (red), Japurá (blue) and Negro (black) Amazon Basin, Brazil.
Fig. 5 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 5. Canonical variate analysis of the organized data of the analysis cluster. Representation the four different morphotypes of asteriscus otoliths of Prochilodus nigricans. (red cross) Morphotype 3; (blue square) Morphotype 2; (purple asterisk) Morphotype 4; (green ex) Morphotype 1.
Fig. 4 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 4. Four morphotype asteriscus otolith Prochilodus nigricans established by cluster analysis from the amplitudes of wavelets. a. morphotype 1; b. morphotype 2; c. morphotype 3 and d. morphotype 4 respectively, sampled of rivers Solimões, Japurá and Negro. Scale bars: 1 mm.
Fig. 1 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 1. Partial map of the Amazon basin showing the study area where Prochilodus nigricans were collected. Rivers: Solimões, Japurá and Negro, Brazil.
Raw data: Patterned apoptosis has an instructive role for local growth and tissue shape regulation in a fast-growing epithelium
<p>What regulates organ size and shape remains one fundamental mystery of modern biology. Research in this area has primarily focused on deciphering the regulation in time and space of growth and cell division, while the contribution of cell death has been overall neglected. This includes studies of the <i>Drosophila</i> wing, one of the best characterised systems for the study of growth and patterning, undergoing massive growth during larval stage and important morphogenetic remodeling during pupal stage. So far, it has been assumed that cell death was relatively neglectable in this tissue both during larval and pupal stage and as a result the pattern of growth was usually attributed to the distribution of cell division. Here, using systematic mapping and registration combined with quantitative assessment of clone size and disappearance as well as live imaging, we outline a persistent pattern of cell death and clone elimination emerging in the larval wing disc and persisting during pupal wing morphogenesis. Local variation of cell death is associated with local variation of clone size, pointing to an impact of cell death on local growth which is not fully compensated by proliferation. Using morphometric analyses of adult wing shape and genetic perturbations, we provide evidence that patterned death affects locally and globally adult wing shape and size. This study describes a roadmap for precise assessment of the contribution of cell death to tissue shape, and outlines an important instructive role of cell death in modulating quantitatively local growth and morphogenesis of a fast-growing tissue.</p><p>This repository contains the raw data (local projection images, ROI and quantificatiosn) of the Current Biology article "<strong>Patterned apoptosis has an instructive role for local growth and tissue shape regulation in a fast-growing epithelium".</strong></p>
FIGURE 5 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 5 Histological growth of the aetosaur Stagonolepis olenkae on the example of the humerus UOPB 00120 (A-H). Pictures A, C, E and H were taken under normal transmitted light and pictures B, D, and F-G were taken under polarized light. Scale bars represent 1 cm for specimen A, 100 micrometres for specimens B-C, and 500 micrometres for specimens D-H. Abbreviations: eb = endosteal bone, ec = erosion cavity, hpfb = higher organized parallel-fibered bone, lpfb = lower organized parallelfibered bone, mc = medullary cavity, mr = medullary region, pos = primary osteon, sos = secondary osteon, subc = sub cycles, svc = simple vascular canal.
FIGURE 2 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 2 Morphology of the studied humeri of the phytosaurs Parasuchus cf. arenaceus UOPB 00145 (A-D), and the aetosaur Stagonolepis olenkae UOBS 01906 (E-H). A and E in ventral view; B and F in dorsal view; C and G in proximal view; D and H in distal view. The arrows point to the histological plane of sectioning. Scale bars represent 5 cm for each specimen.
FIGURE 1 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 1 Morphology of the studied femora of the phytosaurs Parasuchus cf. arenaceus UOPB 00143 (A-D), and Nicrosaurus sp. SMNS 4381/2 (E-G), and the aetosaur Stagonolepis olenkae UOPB 00122 (H-K). A, E and H in lateral view; B, F and I in medial view; C, G and J in proximal view; D and K in distal view. The arrows point to the histological plane of sectioning. Scale bars represent 5 cm for each specimen.
FIGURE 4 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 4 Histological growth of the phytosaurs Parasuchus cf. arenaceus on the example of the humerus UOPB 00145 (A-D) and the Nicrosaurus sp. femur SMNS 4381/2. Pictures A, C, E-F and H were taken under normal transmitted light and pictures B, D and G were taken under polarized light. Scale bars represent 1 cm for specimens A and E, 500 micrometres for specimens B-C, F-H and 100 micrometres for specimen D. Abbreviations: eb = endosteal bone, ec = erosion cavity, hpfb = higher organized parallel-fibered bone, LAG = Line of Arrested Growth, lpfb = lower organized parallel-fibered bone, mc = medullary cavity, mrl = multiple resting lines, pos = primary osteon, sos = secondary osteon, svc = simple vascular canal, tr = trabecular region.
FIGURE 7 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 7 Growth pattern of the sectioned aetosaur Stagonolepis olenkae humeri (A: UOPB 00135, B: UOPB 00120, C: UOBS 02496, D: UOBS 02363, E: UOBS 01906, F: UOPB 00136, G: UOPB 00142, H: UOPB 00121, I: UOBS 02828, and J: UOPB 00137). Half of the picture is taken under normal transmitted light and the other picture half is taken under polarized light. Please note, that the normally transmitted picture does not show informative histological features. The coloured bars show preserved and counted cycles (zone and annulus). Specimen A-B and H preserve four growth cycles, specimen C, E, G, and I preserve three growth cycles, specimen D and J preserve two growth cycles and specimen F preserved six growth cycles. The arrows in specimens A-C, E, and H-J indicate sub-cycles. Humeri are arranged accordingly to their bone length. Scale bar represents 1 cm for each specimen.
FIGURE 3 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 3 Mid-diaphyseal cross-sections of all sectioned specimens showing the bone microanatomy of the phytosaurs Parasuchus cf. arenaceus femora (A: UOPB 00143, B: UOPB 01026, C: UOBS 03370 and humerus (D: UOPB 00145), and Nicrosaurus sp. femur (E: SMNS 4381/2), the aetosaur Stagonolepis olenkae femora (F: UOPB 00122, G: UOPB 00123) and humeri (H: UOPB 00135, I: UOPB 00120, J: UOBS 02496, K: UOBS 02363, L: UOBS 01906, M: UOPB 00136, N: UOPB 00142, O: UOPB 00121, P: UOBS 02828, and Q: UOPB 00137). Taxa are arranged accordingly to their bone length. Scale bar represents 1 cm for each specimen.
FIGURE 6 in Growth and limb bone histology of aetosaurs and phytosaurs from the Late Triassic Krasiejów locality (sw Poland) reveals strong environmental inFluence on growth pattern
FIGURE 6 Growth pattern of the sectioned phytosaurs Parasuchus cf. arenaceus femora (A: UOPB 00143, B: UOPB 01026, C: UOBS 03370) and humerus (D: UOPB 00145) and Nicrosaurus sp. (E: SMNS 4381/2). Half of the picture is taken under normal transmitted light and the other picture half is taken under polarized light. Please note, that the normally transmitted picture does not show informative histological features. The coloured bars show preserved and counted cycles (zone and annulus). Specimen A preserves five growth cycles, specimen B, C and D preserve six growth cycles, and specimen E preserves four growth cycles. Taxa are arranged accordingly to their bone length. Scale bar represents 1 cm for each specimen.
F I G U R E 6 in Variation in the post-smolt growth pattern of wild one sea-winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern North Atlantic Ocean
F I G U R E 6 Back-calculated mean body length (±95% confidence interval) of Salmo salar at the midpoint of the winter annulus, following the conclusion of the post-smolt growth period
F I G U R E 1 in Variation in the post-smolt growth pattern of wild one sea-winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern North Atlantic Ocean
F I G U R E 1 Hierarchical cluster analysis of intercirculus spacing for scales of Salmo salar. (a) The dendrogram for k = 20 using Euclidean distance and Ward linkage for z-scored and interpolated data. The five major sub-branches (A–E) and the 20 clusters are ordered sequentially from the left. (b) The standardized intercirculus spacing plots for the 20 clusters. Clusters are colour-coded and ordered as in (a). The LOESS fits for each cluster are shown as a black line and the number of fish per cluster (n) is also shown
F I G U R E 2 in Variation in the post-smolt growth pattern of wild one sea-winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern North Atlantic Ocean
F I G U R E 2 Tabulation of significant under- and over-representation of the 10 most frequent growth pattern categories (and "Others") for Salmo salar scales amongst the 20 dendrogram clusters. Proportions of growth pattern frequency were compared to the overall population proportion of scales for k = 20 with Ward linkage, and clustering of the z-scored and interpolated data. Light shading (−) indicates significant under-representation and dark shading (+) indicates over-representation. Sample sizes (n) for each growth pattern across the time-series are shown
F I G U R E 4 in Variation in the post-smolt growth pattern of wild one sea-winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern North Atlantic Ocean
F I G U R E 4 Time-series changes in ocean surface temperature and Salmo salar scale growth pattern. (a) Changes in monthly SST anomaly for the 250 and 500 km standard deviation spatially weighted kernels in the Norwegian Sea (April 1992 – March 2011). (b) Changes in frequency (proportion within years) of selected growth patterns. The three selected pattern groupings illustrate fish showing persistent Fast growth (F) throughout the post-smolt growth season, Slow growth followed by Fast growth (SF), and all patterns pooled that displayed one or more growth Checks. The growth pattern data for each capture year (b) are aligned with the SST anomaly in April of the previous year (a), coinciding with the commencement of annual smolt emigration
F I G U R E 5 in Variation in the post-smolt growth pattern of wild one sea-winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern North Atlantic Ocean
F I G U R E 5 Monthly correlations between the SST anomalies throughout the post-smolt Salmo salar growth period and annual frequency of the Fast (F) and All Check growth patterns. The salmon data were lagged by -1 year to match the annual post-smolt growth seasons to the SST anomalies. Significant correlations (P <0.05; following adjustment of d.f. to allow for autocorrelation) are shown by the filled circles
F I G U R E 8 in Genetic characteristics and growth patterns of the hybrid grouper derived from the hybridization of Epinephelus fuscoguttatus (female) Epinephelus polyphekadion (male)
F I G U R E 8 Allometric growth: regression curves for total length and body mass for the hybrid grouper in 5 months old (a), 6 months old (b) and 8 months old (c)
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Allen Brain Atlas
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