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Frontiers in Zoology
Contextual flexibility in the vocal repertoire of an Amazon parrot
Adolfo Christian Montes-Medina1,
Alejandro Salinas-Melgoza2 &
Katherine Renton3
Frontiers in Zoology volume 13, Article number: 40 (2016) Cite this article
Understanding the role of avian vocal communication in social organisation requires knowledge of the vocal repertoire used to convey information. Parrots use acoustic signals in a variety of social contexts, but no studies have evaluated cross-functional use of acoustic signals by parrots, or whether these conform to signal design rules for different behavioural contexts. We statistically characterised the vocal repertoire of 61 free-living Lilac-crowned Amazons (Amazona finschi) in nine behavioural contexts (nesting, threat, alarm, foraging, perched, take-off, flight, landing, and food soliciting). We aimed to determine whether parrots demonstrated contextual flexibility in their vocal repertoire, and whether these acoustic signals follow design rules that could maximise communication.
The Lilac-crowned Amazon had a diverse vocal repertoire of 101 note-types emitted at least twice, 58 of which were emitted ≥5 times. Threat and nesting contexts had the greatest variety and proportion of exclusive note-types, although the most common note-types were emitted in all behavioural contexts but with differing proportional contribution. Behavioural context significantly explained variation in acoustic features, where threat and nesting contexts had the highest mean frequencies and broad bandwidths, and alarm signals had a high emission rate of 3.6 notes/s. Three Principal Components explained 72.03 % of the variation in temporal and spectral characteristics of notes. Permutated Discriminant Function Analysis using these Principal Components demonstrated that 28 note-types (emitted by >1 individual) could be correctly classified and significantly discriminated from a random model.
Acoustic features of Lilac-crowned Amazon vocalisations in specific behavioural contexts conformed to signal design rules. Lilac-crowned Amazons modified the emission rate and proportional contribution of note-types used in each context, suggesting the use of graded and combinatorial variation to encode information. We propose that evaluation of vocal repertoires based on note-types would reflect the true extent of a species' vocal flexibility, and the potential for combinatorial structures in parrot acoustic signals.
Knowledge of the vocal repertoire of avian species and the association with behaviour enables further understanding of the function and complexity of vocal communication [1–3]. However, the majority of studies on avian vocal communication have been conducted on passerines, with few studies on non-passerines [4–6], effectively narrowing our understanding of the array of signal design strategies for communication in the animal kingdom. Psittaciformes (parrots) are an interesting model for evaluating the behavioural context of the vocal repertoire as parrots have complex social systems that require a similarly complex communication system, and use acoustic communication in a variety of contexts [7], as well as being vocal learners able to acquire acoustic signals through social interaction [8]. Furthermore, parrots use their tongue to modulate sound independent of the source, analogous to that of humans, indicating a speech-like system in the emission of parrot vocalisations [9, 10].
Early studies of psittacine vocal repertoires classified vocalisations by onomatopoeic sound and visual representation in spectrograms [11–14]. Later studies used parametric description of spectrogram features to categorise vocalisations but lacked statistical quantification to objectively differentiate acoustic signals [15–19]. Some studies have attempted to statistically differentiate vocalisations by their temporal or acoustic properties. Univariate analyses of vocalisations found that acoustic signals used by the Blue-crowned Conure (Aratinga acuticaudata) varied significantly in emission rate of notes per second, particularly for alarm signals [20]. Long-range alarm calls of the Yellow-faced Parrot (Alipiopsitta xanthops) also had a significantly higher emission rate that flight calls, and greater amplitude than sentinel calls [21]. However, few studies have conducted comprehensive statistical analysis of a suite of acoustic traits to reliably differentiate vocalisations. Of these, guttural calls differed from other vocalisations of the Blue-fronted Amazon (Amazona aestiva) in note duration and bandwidth [22], while five call-types of the North Island Kaka (Nestor meridionalis septentrionalis) were differentiated primarily by call length and secondly by maximum frequency [23].
In general, parrots have been found to present short- and long-range vocalisations [19, 21, 24] of notes with 0–6, and up to ten, harmonics [15–17, 20, 24–26]. Studies of vocal communication of Psittaciformes report from five to 15 calls that can be classified in discrete spectrographic or structural categories [12, 13, 17, 19–21, 23–28], where some vocalisations are given in a variety of contexts, but other vocalisations may be specific to a given behavioural context [19–21, 23–25, 27, 29]. In particular, van Horik et al. [23] determined a significant association of 5 calls of the North Island Kaka with three behavioural contexts of paired, perched, and flying, and Zdenek et al. [25] found a significant association of vocal syllables of the Palm Cockatoo (Probosciger aterrimus) with five behavioural contexts.
Selection forces may drive the form or characteristics of vocal signals in accordance with signal design rules to attain optimal communication in a given behavioural context [3]. Design rules state that signals used in differing behavioural contexts should present features of range, locatability, duty cycle (duration and repetition rate), sender identification, within-individual variation, and form-content linkage that optimise coding of the information to be conveyed [3]. The importance of vocal communication in psittacine behaviour and social organisation is reflected by the fact that parrots use vocal signals in a variety of behavioural contexts, yet to date no studies have conducted across-function comparisons of parrot acoustic signals in differing social contexts to identify the combination of design features that could optimise communication, and whether these conform to signal design rules.
Parrots use vocalisations of contrasting characteristics, with long-range acoustic signals where energy is concentrated at low frequencies, and short-range signals of high frequencies [22, 24, 27], suggesting that some design rules may be at play. Behavioural studies of the Lilac-crowned Amazon (Amazona finschi) indicate that vocal signals are used to coordinate nesting behaviour by the reproductive pair [30]. However, the characteristics of the vocal repertoire, context specificity of vocalisations, and how these conform to signal design rules, are still unknown. Therefore, in the present study we statistically characterised the vocal repertoire of free-living Lilac-crowned Amazons in distinct behavioural contexts. We aimed to determine whether parrots demonstrated contextual flexibility in their vocal repertoire, and whether these acoustic signals follow design rules that could maximise communication. In accordance with signal design rules [3], we hypothesised that alarm vocalisations would be context-specific, having acoustic characteristics of either flee (low, short, single vocalisation) or assembly (loud, broad, repeated) signals. On the other hand, aggressive threat signals should be more complex being either loud or soft, involve counter-calling, and have characteristics to encode information on body size or motivation. Similarly, nesting vocalisations should be directed at a specific receiver or nest-site, have a high duration or repetition rate, with a diverse repertoire, where both the male and female participate. Finally, we expected vocalisations emitted when perched or foraging to be of short-range, with low diversity and repetition rate, so as to maintain contact with conspecifics but avoid detection by potential predators.
We recorded vocalisations of free-living Lilac-crowned Amazons in the tropical dry forest of the Chamela-Cuixmala Biosphere Reserve (19o22′N 104o56′W to 19o35′N 105o03′W), on the coast of Jalisco, Mexico. The region has a marked seasonality in rainfall and plant phenology, with precipitation concentrated in 5 months (June to October), and a prolonged dry season [31, 32]. The main vegetation types within the reserve are dense deciduous forest on the hills and slopes, and taller semi-deciduous forest in valleys [33]. Deciduous forest has small trees with a canopy height of 8–12 m, where the majority of plants lose leaf-cover for 5–8 months of the year, whereas semi-deciduous forest has larger trees of 15–30 m height, most of which retain their leaves or drop leaves for 1–3 months of the year [33, 34]. The Lilac-crowned Amazon is endemic to the Pacific coast of Mexico, and nests during the dry season from February to May [30]. Research permits for the study were granted by the Secretaria del Medio Ambiente y Recursos Naturales, Mexico.
Vocal recording
We recorded vocalisations emitted by parrots at nest-sites, and during opportunistic encounters while they were foraging and resting. Recordings of 61 individuals were made during the morning (07:30–11:00 h) and afternoon (17:00–19:00 h) when parrots are most active [35]. All recordings were made at about 30 m from focal individuals. Parrot vocalisations were recorded with a Marantz PMD 660 or Marantz PMD 670 solid state digital recorders, and a directional ME66/k6 microphone (Sennheiser Electronic) on a shock-mount pistol-grip. Recordings were saved on secure digital or compact flash cards as 16-bitwav files, with a sampling rate of 44.1 kHz or 48 kHz. We then resampled the 48 kHz recordings to standardise them to 44.1 kHz in Goldwave 5.57 (GoldWave Inc.). Recordings were viewed via spectrogram in Raven Pro 1.4 (Cornell Laboratory of Ornithology, New York) with a Hann window size of 592 samples, a 3 dB filter bandwidth of 107 Hz, a frequency grid with discrete Fourier transform size of 1024 samples and grid spacing of 43.1 Hz, and a time grid with a hop size of 59 samples and 90 % overlap, averaging 1 spectra.
Vocal analyses
We reviewed recordings to extract notes, defined as a continuous sound bordered by a silent interval [36]. Each note was saved in a single file, extracting the note from the original recording with 20 ms of silence at the beginning and the end of the note. ACMM then conducted visual comparison of spectrograms for each note to classify notes in different types. Although we carried out a full account of all notes emitted to evaluate the diversity of acoustic signals, we selected only note-types emitted more than once to describe vocalisations. For statistical analysis we used only note-types that were emitted at least five times across all recordings, and randomly selected five high-quality notes, with low background noise and a high signal-to-noise ratio, for each note-type. We measured five spectrographic variables in Raven Pro 1.4: i) note duration (ms); ii) low frequency (Hz); iii) high frequency (Hz), giving the lower and upper frequency bounds; iv) delta frequency or bandwidth (Hz), being the difference between the upper and lower frequency bounds; and v) number of harmonics. In addition, we used Sound Analysis Pro SA.04 [36, 37] to obtain 6 spectral derivatives for each note: i) mean pitch (Hz), or tone, is a measure of the period of oscillation, or number of cycles made by a sound wave in a unit of time; ii) variance of pitch; iii) mean frequency (Hz), estimates the central tendency of the distribution of power across frequencies; iv) goodness of pitch (Hz), is the peak of the power spectrum for harmonic pitch; v) frequency modulation (deg), is the slope angle of frequency contours; and vi) Weiner entropy, gives a measure of order in the waveform of the sound on a logarithmic scale of 0 (disorder) to minus infinity (complete order). We thereby obtained a total of 11 variables for each note.
Vocalisations were associated with nine behavioural contexts [7, 19, 20, 24, 27]: 1) Nesting activity, when the male returned to the nest after foraging, and called the incubating female who vocalised on leaving the nest-cavity to be fed [30]; 2) Threat interactions of agonistic encounters between conspecifics, usually around the nest; 3) Alarm vocalisations emitted in the presence of potential predators; 4) Foraging, emitted by individuals while foraging in trees; 5) Perched, when parrots were perched inactive or at rest in a tree; 6) Take-off, vocalisations emitted seconds before, during and after flight take-off by parrots; 7) Flight, obtained from flying parrots; 8) Landing, vocalisations of parrots on final flight approach to land in a tree; and 9) Food soliciting, begging by nestlings soliciting food from parent birds, and nesting females soliciting food from males.
Given the difficulties of capturing and marking free-ranging parrots, we considered individual identification based on nest-site ownership for recordings obtained at nest sites. Reproductive pairs of Lilac-crowned Amazons are highly synchronous in nesting behaviour [30]. Therefore for many of the behavioural contexts we used vocalisations recorded at different nest-sites where we could be confident of individual identification. For recordings of behavioural contexts away from nest-sites (foraging, flight), we used only recordings obtained on different days and those that were sufficiently separated by distance among sites to potentially represent different individuals, considering the daily foraging distances travelled by Lilac-crowned Amazons [38]. We were able to distinguish between male and female parrots at nests, as only the female incubates [30]. Therefore, we described both male and female nesting vocalisations, but as this was not possible for other behavioural contexts we did not separate nesting vocalisations by gender for statistical analyses of acoustic parameters among contexts. We collected 75 h of non-continuous recordings over all behavioural contexts, obtaining a total of 8622 notes emitted by 61 Lilac-crowned Amazon individuals that could be spectrographically classified in 152 note-types.
A third of note-types were emitted only once, and were not considered in further analyses, leaving a total of 8571 notes that comprised 101 note-types emitted at least twice. For each of the nine behavioural contexts, we determined the emission rate of notes per second, calculated as the total number of notes emitted divided by time from when the first note was emitted to the last note for that context, which was used as a measure of intensity of vocal activity during the recording period for each behavioural context. We also determined the frequency of occurrence of the most common note-types emitted by adult parrots across all recordings in each behavioural context, and applied chi-square contingency table analysis to determine whether note-types were associated with a specific behavioural context. We calculated adjusted standardised residuals for each cell [39] to determine which notes were used more than expected in each context.
For statistical analyses of acoustic parameters, we eliminated 43 note-types that were emitted less than five times, or had poor quality recordings with a lot of background noise or overlapped other notes. This gave a total of 58 note-types of sufficient sound quality and frequency of emission that were used in statistical parameter analyses among behavioural contexts. We used Generalised Linear Mixed Models (GLMM) fit by maximum likelihood, where we considered behavioural context as a fixed effect, and included individual identity as a random effect across contexts. We excluded the food soliciting context from these analyses, as this included vocalisations of nestlings that were not considered in other contexts. We applied GLMM with log-link using a negative binomial error distribution that showed the best fit to the plot of residuals for the vocal parameters of emission rate, duration, low and high frequencies, and bandwidth. To evaluate number of harmonics among contexts, we employed GLMM with log-link and a Poisson error distribution model that best fit the residuals for the data. We obtained significance values by performing likelihood ratio tests comparing the full model including the effect of behavioural context against the reduced model without the effect. We compared parameter estimates with the intercept, set as the context with lowest mean values. We used the Automatic Differentiation Model Builder (glmmADMB) package [40] to run negative binomial GLMMs, and the lme4 package [41] for the Poisson distribution GLMM, both available in R 3.2.3 [42].
To acoustically discriminate among note-types emitted by adults taking into account individual variation in notes, we selected a data set of 28 note-types that were emitted by more than one individual from the 58 note-types emitted at least five times. We first applied principal component analysis (PCA) on the data set of 28 note-types to convert the 11 spectral and time variables for each note to a reduced set of linearly uncorrelated variables. We then used the Principal Components with eigenvalues >1 in a permuted Discriminant Function Analysis (pDFA) with a nested design that deals with potential non-independence of data when several vocalisations from one individual are included in the data set [43]. Acoustic parameters were considered to aid differentiation among note-types when the observed correct classification was significantly higher (with P < 0.05) than the expected correct classification for the null hypothesis of no discrimination among note-types. The expected distribution of the correctly classified signals under the null hypothesis that note-types cannot be acoustically discriminated was obtained performing 1000 permutations. The pDFA was performed using a script for R version 3.0.1 [42] written by R. Mundry, based on the function lda of the R package MASS [44]. Datasets for the statistical analyses are provided in an additional Excel file (Additional file 1). Descriptive statistics are presented as mean with standard error, applying a P < 0.05 significance level for statistical analysis.
Design characteristics of vocalisations by behavioural context
We provide descriptions of acoustic and behavioural characteristics of each context in an additional Word file (Additional file 2). Overall, a total of 73 note-types were exclusive to a particular behavioural context (Table 1), although the majority of these were emitted infrequently, as shown in Additional file 3: Table S1 that gives the percent emission in nine behavioural contexts for the 101 note-types emitted at least twice (Additional file 3). The greatest variety of 64 note-types were emitted during threat contexts (Table 1). Threat interactions also had the highest number of exclusive notes, where 64 % of note-types emitted during threat interactions were exclusive to this context (Table 1). Vocalisations emitted during threat contexts often involved counter-calling between conspecifics, and were sometimes accompanied by visual displays, such as the wing display where parrots raised both wings in an arc above the body [45], or the tail-fan (Additional file 2). Nesting vocalisations were also highly diverse, with the second-highest number of exclusive notes (Table 1), particularly with regard to male vocalisations where 51.9 % of note-types were exclusively used to call the female from the nest. Among these, the exclusive note Z4 was emitted by males on final approach to the nest, and was spectrographically and acoustically similar to the 'grr-uíp' vocalisation reported for the Blue-fronted Amazon [24], as shown in an additional figure (Additional file 4) and audio file (Additional file 5). By comparison, alarm vocalisations given in the presence of avian predators such as the Crane Hawk (Geranospiza caerulecens) and Collared Forest Falcon (Micrastur semitorquatus) had the lowest variety of only nine different note-types, none of which were exclusive to alarms (Table 1). These may be similar to assembly signals as on one occasion we observed 6 Lilac-crowned Amazons flying to congregate with another vocalising pair in response to their alarm calls given on approach by a pair of Collared Forest Falcons.
Table 1 Frequency of 101 note-types emitted more than once by Lilac-crowned Amazons in nine behavioural contexts
Acoustic parameter analysis for 58 note-types emitted ≥5 times, determined that including behavioural context as a fixed factor in GLMMs significantly explained variations in note duration (GLMM: χ2 7 = 18.2, P = 0.011), low frequency (GLMM: χ2 7 = 74.2, P < 0.001), high frequency (GLMM: χ2 7 = 53.5, P < 0.001), bandwidth (GLMM: χ2 7 = 46.1, P < 0.001), number of harmonics (GLMM: χ2 7 = 50.0, P < 0.001), and emission rate (GLMM: χ2 7 = 75.5, P < 0.001). The behavioural contexts with most distinct acoustic characteristics were nesting and threat interactions (Fig. 1). Nesting vocalisations had on average notes of longer duration, with the greatest number of harmonics compared to other contexts (Fig. 1). In general, most note-types had three to four harmonics (Mean: 3.4 ± 1.76 harmonics, range = 0–13 harmonics, n = 58 note-types), a characteristic of long-range signals in other Amazon parrots [24]. The behavioural contexts of nesting and threat interactions had notes with higher low and high frequencies, and broad bandwidth (Fig. 1). By comparison, alarm vocalisations were distinct in their high emission rate of 3.6 notes/s (Fig. 1), while contexts of perched and foraging had low vocal activity (Fig. 1).
Mean acoustic characteristics of vocalisations emitted by Lilac-crowned Amazons in eight behavioural contexts. (a) note duration, (b) low frequency, (c) high frequency, (d) bandwidth, (e) number of harmonics, all calculated from 58 note-types emitted ≥5 times across recordings. (f) emission rate was calculated considering all notes emitted in each behavioural context. Error bars show standard error. Significant from intercept: * P < 0.05, ** P < 0.01, *** P < 0.001. Forage was set as the baseline intercept in GLMM for all variables except note duration, which was set with the perched context
Classification by note-type
Considering all notes emitted over all behavioural contexts, seven note-types (Fig. 2a) represented more than 80 % of all notes emitted, and are included in additional audio files (Additional files 6, 7, 8, 9, 10, 11, 12, 13, and 14). Of these, note-types C (26.4 % of notes), B (23.7 %), and J4 (11.5 %) were emitted most frequently, and used in the majority of behavioural contexts. Notes B and C were emitted in all behavioural contexts, but with greater percent contribution in contexts where it was necessary to attract attention of the group or individual such as in alarm, threat, flight, landing, and nesting vocalisations (Fig. 3). By comparison, note J4 was used mainly when foraging, soliciting food, just prior to take-off, and when perched at rest (Fig. 3). The frequency of emission for the seven most-common note-types was significantly associated with behavioural context (χ2 54 = 3984, P < 0.001). In particular, note-type J4 was used significantly more when foraging (57 % of notes emitted; cell z = 30.3), soliciting food (39 %; cell z = 16.7), just prior to take-off (32 %; cell z = 9.8), and when perched (22 %; cell z = 5.0). The other most common note-type emitted by parrots when perched was note D, which comprised just under half of notes emitted when perched (Fig. 3), and was emitted significantly more than expected in this context (cell z = 28.0). Note C was the most common note-type used in threat context (26 %; cell z = 5.9; Fig. 3), with the growl-like note E also emitted more frequently than expected in threat interactions (cell z = 11.4), but used infrequently in other contexts (Fig. 3). Alarm vocalisations were characterised by note B (45 %; cell z = 8.7), although note C2 was also emitted more than expected in alarm contexts (24 %; cell z = 20.3), and these two notes comprised almost 70 % of notes emitted in alarm contexts. Note-type C2 was particularly characteristic of female nesting vocalisations (52 %; cell z = 26.4), while male nesting vocalisations were characterised by note-types C (30 %; cell z = 6.5) and B (27 %; cell z = 6.8).
Spectrograms of (a) 7 note-types most frequently emitted by Lilac-crowned Amazons, and (b) female and nestling begging vocalisations to solicit food
Percent contribution by behavioural context of the 7 note-types most frequently emitted by Lilac-crowned Amazons. Values above columns denote sample size of notes in each context
Principal Components Analysis performed with 11 spectral and temporal variables yielded three principal components with eigenvalues >1 for 28 note-types emitted ≥5 times, where each note-type was emitted by >1 individual (Table 2). These components explained 72.03 % of total variance among notes. The variables with greatest loading on Principal Component 1 were variance of pitch, frequency modulation, goodness of pitch, and duration (Table 2). Component 2 was influenced mainly by mean pitch, low frequency, and Weiner entropy (Table 2). The parameters with greatest weight for Principal Component 3 were bandwidth, high frequency, and number of harmonics (Table 2). Discriminant Function Analysis (DFA) for categories of 28 note-types using these three components determined an observed correct classification of 72.7 % that was significantly larger than the expected correct classification for the null hypothesis (Expected = 24.0 %; P = 0.001). Similarly, when analysis was controlled by individuals in the pDFA for 28 note-types emitted by more than one individual, the 46.9 % observed correct classification was significantly larger than the 9.6 % expected correct classification by chance (P = 0.001).
Table 2 Principal Components with eigenvalues >1 for 28 note-types emitted ≥5 times across the study, where each note-type was emitted by >1 individual of the Lilac-crowned Amazon.
High vocal diversity
The Lilac-crowned Amazon demonstrated a high diversity of 101 note-types emitted more than once, with 58 note-types emitted at least five times, which is one of the largest vocal repertoires so far recorded for Psittaciformes [12, 13, 19–21, 23–29]. However, most studies report calls [12, 13, 15–17, 19–24, 27, 28], or vocalisations [14, 18] that may comprise a number of notes. Fernández-Juricic et al. [24] describe nine call types for the Blue-fronted Amazon, where just the guttural call has at least 23 different note-types [22], and breeding season songs have 17 note-types [24]. Conversational chattering by the Brown-headed Parrot (Poicephalus cryptoxanthus) also comprises 23 note-types [17]. Similarly, de Moura et al. [19] classified 9 vocalisations comprised of a total of 36 note-types for the Orange-winged Amazon (Amazona amazonica), and May [26] identified 39 acoustic call types for the Grey Parrot (Psittacus erithacus). In a similar approach to the present study, Zdenek et al. [25] identified 27 structurally distinct note-types in the vocal repertoire of the Palm Cockatoo. These studies demonstrate that many parrot species have a high diversity of 23–40 note-types commonly used in the vocal repertoire, with the Lilac-crowned Amazon presenting one of the most diverse vocal repertoires, having 58 commonly used note-types.
One explanation for the high diversity of note-types found in our study may be that we have a high recording sample. However, our sample of 75 h of recordings is in the mid-range of that reported by other studies, with lower recording samples of 10 h obtained by Fernández-Juricic and Martella [22] and 30 h by May [26], but larger samples of 100 h reported by Fernández-Juricic et al. [24] and 210 h obtained by Zdenek et al. [25]. Therefore, sample size of recordings is unlikely to explain the high diversity of note-types found in our study. A number of hypotheses may explain this high diversity of vocalisations for the Lilac-crowned Amazon and other parrots, such as acoustic adaptation to forest habitats, social complexity, and ecological characteristics of species.
The Lilac-crowned Amazon may require a larger vocal repertoire to facilitate communication in a complex forest habitat [46, 47]. This could be of particular importance in the tropical dry forest where there is dramatic seasonal variation in phenological characteristics of the forest [32], and the two main habitats of deciduous and semi-deciduous forest have differing vegetation structure [33, 34]. According to the acoustic adaptation hypothesis [46–48], variations in habitat structure affect sound transmission [48, 49] leading to the selection of signals structured to transmit with minimal distortion through native habitat [46–48]. Forests are complex environments, and even slight changes in vegetation structure would have effects on sound transmission with vocal learning species able to rapidly adapt acoustic signals [47], potentially leading to greater diversity in vocal communication [3].
Social organisation may also influence vocal repertoire for species such as parrots, with large, complex social groups. The social complexity hypothesis [50] states that groups with complex social systems require more complex communicative systems to regulate interactions and relations among group members. This variety of social interactions may then lead to the development of large vocal repertoires [50–52]. Parrots exhibit complex social systems [7] where for most species the basic unit is the mated pair, but species such as the Lilac-crowned Amazon also form large communal roosts, smaller foraging flocks, and are territorial around nests in the breeding season [30, 53]. Other parrot species with a large diversity of note-types in vocal repertoires, such as the Brown-headed Parrot, Orange-winged Amazon, Blue-fronted Amazon, and Grey Parrot, exhibit similar flexibility in social organisation [17, 19, 24, 26]. This provides many occasions when individuals may switch group affiliation, requiring mechanisms for recognizing individuals, potentially increasing vocal diversity. Parrots also establish dominance hierarchies by vocal communication [7], requiring complex vocal repertoires to maintain this social complexity. A simple, auditory description of vocalisations by three parrot species in Australia appears to indicate that the species with a more complex hierarchy of groups and individuals has the greatest number of distinct auditory signals [54]. Pidgeon [12] also suggests for five Australian parrot species, that species with more agonistic interactions have a greater number of auditory signals. However, no studies have as yet evaluated the social complexity hypothesis with regard to parrot vocal communication.
Bradbury and Balsby [55] recently suggest that diet-driven social dynamics may explain extensive vocal learning in Psittaciformes. Parrots consume highly variable plant resources of flowers, fruits, or seeds [56], requiring extensive knowledge of potential food resources, and foraging in flexible flocks over a wide area, where vocal learning with the acquisition of new acoustic signals would facilitate identification of individuals with knowledge of food sources [55]. The Lilac-crowned Amazon has a predominantly granivorous diet [57], uses communal roosts [53], and forms foraging flocks with large home-ranges [38]. This species also undertakes seasonal migrations to track food resources [53, 57] that may require a capacity to learn new vocalisations in different regions, habitats, and social groups [58, 59]. Parrot species with vocal learning have been found to modify their vocalisations on relocation to new sites with new social groups [60], and migratory behaviour is associated with larger song repertoires within genera of passerine birds [61]. Therefore, given that parrots maintain vocal learning ability throughout life [7], individuals may encounter and acquire new elements in the vocal repertoire during long-distance movements, and interchange among foraging flocks, leading to high vocal diversity and a low proportion of context-exclusive notes, as found in the vocal repertoire of the Lilac-crowned Amazon.
The Orange-fronted Parakeet (Eupsittula canicularis) also inhabits seasonal tropical dry forest, and exhibits fission/fusion flock dynamics [7], but the species has a smaller vocal repertoire [7, 11, 62] compared to the Lilac-crowned Amazon. Therefore, other factors may be influencing vocal diversity of the Lilac-crowned Amazon. One factor may be the larger ranging areas of the Lilac-crowned Amazon with an average home-range estimated to be 4674 ha [38] compared to 666 ha for the Orange-fronted Parakeet which exhibits range lengths of just 6–9 km [63]. Larger movements by the Lilac-crowned Amazon mean that the species is likely to encounter heterogeneous environmental and social conditions that could promote diversity in the vocal repertoire. Another key ecological difference is that the Orange-fronted Parakeet excavates nest-cavities in arboreal termiteria [11] that are generally abundant resources but with only short-term longevity [64, 65]. By comparison, most parrot species, including the Lilac-crowned Amazon, depend on pre-existing naturally-formed tree-cavities [56] that are limited but long-term resources, and exhibit intense intraspecific competition for nest-sites [45]. High vocal diversity may serve to intimidate conspecifics, particularly competitors for nest-cavities, and may reflect selective pressures for a larger vocal repertoire during territorial defense. In support of this, we found greater vocal diversity of Lilac-crowned Amazons in threat interactions with conspecifics around nests compared to other behavioural contexts. Therefore, we consider that competition with conspecifics for scarce, suitable tree-cavity resources may be a contributing factor increasing social complexity and vocal diversity. Hence, the Lilac-crowned Amazon may have a diverse vocal repertoire given that the species inhabits a heterogeneous, seasonal, forest environment, has complex social dynamics including strong intraspecific competition for nest-sites, ranges over a large area, and undertakes long-distance migrations to alternate habitats and regions, all of which may require vocal adaptation to changing environmental conditions and social complexity.
Design characteristics of the vocal repertoire
Behavioural context significantly explained variations in acoustic characteristics of vocalisations emitted by the Lilac-crowned Amazon. In accordance with signal design rules, threat vocalisations were on average of short duration, with a high emission rate, broad bandwidth, and frequently involved counter-calling, which may encode information on motivation in threat vocalisations. Threat vocalisations were not of low frequencies that could indicate large body size, but had the highest frequency values of all contexts. This may reflect the short-range aspect of threat signals as sender and receiver are generally in close proximity. Furthermore, parrots frequently combined acoustic threat signals with visual displays that may effectively indicate body size, motivation, and an escalation of aggression. Other parrot species have also been reported to use compound signals of high frequency vocalisations with visual displays in threat context [19, 21, 24]. These features correspond to the design rules for threat displays, where a high vocal diversity of notes emitted by Lilac-crowned Amazons, and their combination with visual displays, would permit encoding of additional information on status, body size, intensity, and motivation during threat interactions [3].
Nesting vocalisations were also of high frequency, being short-range signals used between the nesting pair. Nesting vocalisations had the longest note duration which would increase their duty cycle, or percent of time that the signal is active, and broad bandwidth that may have capacity to carry more information in the signal. These are similar to the design rules for courtship signals having both male and female components that are given in a specific sequence [3], although in this case the pair is already mated. This suggests that nesting vocalisations may have a similar role in coordinating activities of the nesting pair; however, experimental evidence is required to determine the function of acoustic signals in nesting contexts.
Alarm signals comprised notes of relatively short duration, with low frequencies, short bandwidth, and had the highest emission rate of 3.6 notes/s. Other parrot species also present alarm vocalisations with high emission rates of short, repeated notes [21, 27, 66]. Wheatcroft [67] determined that various bird species use increased signal repetition rate on approach by a predator, which is recognised as a contextual cue by both adults and nestlings influencing their responses. The low frequencies of alarm signals emitted by the Lilac-crowned Amazon may increase their range through forest habitats as low frequency sounds are less easily absorbed and travel further than high frequency sounds [49]. Features of alarm signals may vary between the extremes of flee and assembly signals, with alert signals having intermediate features [3]. In the case of the Lilac-crowned Amazon, alarm signals given in response to avian predators had features of alert or assembly signals, which are short pulses that are regularly repeated to attract attention and enable location of the sender, rather than flee signals designed to reduce locatability of the sender [3].
Foraging and perched contexts had the lowest emission rates of only 0.3 notes/s that were of low frequencies, short bandwidth, and with few harmonics. This would reduce locatability of individuals where there is a potential cost in attracting predators while individuals are resting, or distracted by foraging. It may also be that vocalisations given in these contexts only need to indicate presence, and therefore do not require greater complexity to communicate more information. It should be noted however, that sample sizes were low for some behavioural contexts, which could be influenced by individual differences, limiting our conclusions on the acoustic characteristics of these contexts. Evidence from playback experiments is also needed to determine the function of acoustic signals used in distinct behavioural contexts.
Contextual flexibility in use of notes
Note-types could be discriminated by acoustic features, with more than half of all note-types being exclusive to a specific behavioural context, although the seven most common note-types were emitted by Lilac-crowned Amazons in a variety of contexts, but with differing proportional contribution in each context. The common notes B and C were used by Lilac-crowned Amazons with greater frequency in high intensity behaviours of threat, nesting, alarm, and flight, whereas notes J4 and D had greater proportional contribution in low intensity behaviours of foraging, prior to take-off, or when parrots were perched at rest.
Threat contexts had the highest variety of notes, and greatest number of exclusive notes, which may reflect a greater complexity of vocalisations. Zdenek et al. [25] suggest that the complex vocal repertoire of the Palm Cockatoo functions in year-round territorial defense. This has been observed in songbirds, where larger song repertoires are more effective at deterring invaders than small or single-song repertoires [68]. In particular, the growl-like note E that was emitted more frequently than expected in threat context may be similar to the soft vocalisations produced by songbirds in aggressive encounters that are reliable indicators of motivation [69–71].
The next most vocally diverse context for Lilac-crowned Amazons was that of nesting vocalisations, particularly with respect to vocalisations of males calling females out of the nest-cavity. The variety of notes and high proportion of exclusive notes emitted by males when calling the nesting female may permit encoding of individual identity, particularly during incubation of eggs or nestlings when the female lacks visual contact with the male from within the nest-cavity. However, it may be that only a small sample of a vocalisation is required for individual recognition, as Mockingbirds (Mimus gilvus) were found to respond to playbacks of conspecifics within seconds, even when presented with only a fraction of the hundreds of song types available per singer [72]. In this sense, the exclusive note Z4 emitted by males on final approach to the nest may contain information on individual identity, alerting the incubating female to her mate's arrival. The high vocal diversity we found for threat and nesting contexts could be a result of longer recording times, increasing the sample size for these contexts. However, we have equally long recording times for foraging and landing contexts, and these do not show similar vocal diversity, particularly in the number of exclusive notes. Therefore the incorporation of a high number of exclusive notes in threat and nesting contexts may reflect the complexity of interactions and amount of information to be communicated.
By comparison, alarm vocalisations had the lowest variety of note-types, and contrary to expectation, these were not context-specific, but consisted in frequent repetition of three commonly used note-types (B, C, and C2). The Japanese Great Tit (Parus minor) has been shown to use acoustically discrete alarm signals for snake predators, but does not use predator-specific alarm signals when mobbing avian predators [73]. Instead of discrete signals for different species of avian predator, birds may vary note repetitions and combinations in compositional syntax to encode information about predator type [73, 74]. It would be interesting therefore to determine whether parrots give different types of alarm signals for terrestrial predators as opposed to avian predators.
Finally, in foraging and perched contexts Lilac-crowned Amazons predominantly used note-types J4 and D, which comprised >60 % of notes emitted and were produced more than expected in these contexts. This contextual flexibility in the use of notes across behavioural contexts may suggest that the vocal repertoire contains a large amount of redundancy in acoustic signals [3]. Alternatively, it may indicate that parrots use graded or combinatorial variation to encode information for different contexts, where the compositional syntax, or the way in which notes are combined, is essential for communicating different messages [74–77].
Our findings on note-type composition in different behaviour contexts suggest that Lilac-crowned Amazons use a variety of strategies for acoustic communication. Other parrot species have also been found to emit calls or notes in a variety of behavioural contexts [13, 20, 22–24], although no studies have determined the cross-functional contribution of commonly used notes in differing behavioural contexts. Functional or contextual flexibility in vocalisations has been determined in non-human primates [78], but there is a paucity of evidence to evaluate the existence of this in other animal groups. Nevertheless, some studies have determined that avian species with small repertoires may use combinatorial structures in compositional syntax to achieve greater communicative complexity [74, 75]. Experimental evidence could determine the acoustic strategies and combinatorial structures employed by parrots for communication in different contexts.
The Lilac-crowned Amazon presents a diverse vocal repertoire of note-types that are used in a variety of behavioural contexts. This may provide more dimensions for encoding information, which could help the Lilac-crowned Amazon to deal with the constraints imposed on communication within a complex social and natural environment. It is important to evaluate not just the acoustic features and types of notes emitted in each behavioural context, but the compositional syntax of notes used in different contexts [74–77]. Therefore, we propose that evaluation of parrot vocal repertoires based on note-types emitted as the basic unit would reflect the potential vocal diversity of each species. Statistical analysis of the acoustic features of notes, their contribution in each behavioural context, and their combinatorial structures, would reflect the true extent of the species' vocal flexibility. This would enable comparative studies of vocal diversity among psittacine species to evaluate the relationship of vocal repertoire with habitat structure and social organisation. The cross-functional use of vocalisations by parrots in differing behavioural contexts also makes them ideal species for elucidating signal design rules for differing social functions [3]. Understanding the vocal repertoires of free-living Psittaciformes is essential as a foundation for future research on the extensive vocal learning abilities of parrots [55], the use of combinatorial structures in vocal communication, and the parallels with human language development.
GLMM:
Generalised Linear Mixed Models
PCA:
Principal Component
DFA:
Discriminant Function Analysis
pDFA:
Permuted Discriminant Function Analysis
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The study was conducted in partial fulfilment of a Ph.D. degree by ACMM at the Posgrado en Ciencias Biológicas, of the Universidad Nacional Autónoma de México (UNAM). We are grateful to the Fundación Ecológica de Cuixmala A.C. for logistical support. We thank Karen Esquivel for assistance in the field and with analysis of sound recordings, and are grateful to Lynna Kiere for assistance with GLMM analysis. Research permits were authorised by the Secretaria del Medio Ambiente y Recursos Naturales of Mexico. The Posgrado en Ciencias Biológicas, UNAM, and Estación de Biología Chamela, Instituto de Biología, UNAM provided facilities for the preparation of this manuscript. We are grateful to the anonymous reviewers and Associate Editor for their constructive comments that greatly improved the manuscript.
Funding for the research was provided by the Consejo Nacional de Ciencia y Tecnología (CONACyT) through project grants 179877 to KR, and C-965/2014 for ASM, while the Fundación Ecológica de Cuixmala provided logistical support. CONACyT also provided a Doctoral scholarship to ACMM (231685), and postdoctoral grant to ASM (98294).
The datasets supporting the conclusions of this article are included within the article and additional files (Additional files 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, and 14).
KR, ASM, and ACMM conceived and designed the study. ACMM and ASM generated field data. ACMM, ASM, and KR analysed and interpreted the data. All authors wrote, revised, and approved the final version of the manuscript for publication.
The study involved free-ranging individuals which were not manipulated by researchers. Permits for the research were granted by the Secretaria del Medio Ambiente y Recursos Naturales, Mexico.
Posgrado en Ciencias Biológicas, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico
Adolfo Christian Montes-Medina
Facultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo, Ciudad Universitaria, Morelia, Michoacán, Mexico
Alejandro Salinas-Melgoza
Estación de Biología Chamela, Instituto de Biología, Universidad Nacional Autónoma de México, Apartado Postal 21, San Patricio-Melaque, Chamela, Jalisco, CP 48980, Mexico
Katherine Renton
Correspondence to Katherine Renton.
Datasets for statistical analyses by context and note-type. (XLSX 116 kb)
Descriptions of behavioural and acoustic characteristics in each context. (DOCX 15 kb)
Percent emission by Lilac-crowned Amazons in nine behavioural contexts for 101 note-types emitted at least twice across all recordings. (DOCX 24 kb)
Spectrogram of note Z4 emitted by males on approach to the nest. (TIF 593 kb)
16-bit WAV sound file of note Z4 emitted by a male Lilac-crowned Amazon on final approach within sight of the nest. (WAV 116 kb)
16-bit WAV sound file of note C emitted by a Lilac-crowned Amazon. (WAV 294 kb)
16-bit WAV sound file of note B emitted by a Lilac-crowned Amazon. (DOCX 15 kb)
16-bit WAV sound file of note A emitted by a Lilac-crowned Amazon. (DOCX 24 kb)
16-bit WAV sound file of note C2 emitted by a Lilac-crowned Amazon. (TIF 593 kb)
Additional file 10:
16-bit WAV sound file of note E emitted by a Lilac-crowned Amazon. (WAV 46 kb)
16-bit WAV sound file of note J4 emitted by a Lilac-crowned Amazon. (WAV 20 kb)
16-bit WAV sound file of note D emitted by a Lilac-crowned Amazon. (WAV 24 kb)
16-bit WAV sound file of train of begging notes by a female Lilac-crowned Amazon to the male. (WAV 25 kb)
16-bit WAV sound file of train of begging notes emitted by nestling Lilac-crowned Amazons in presence of the parent birds. (WAV 19 kb)
Montes-Medina, A.C., Salinas-Melgoza, A. & Renton, K. Contextual flexibility in the vocal repertoire of an Amazon parrot. Front Zool 13, 40 (2016). https://doi.org/10.1186/s12983-016-0169-6
Lilac-crowned Amazon
Signal design rules
Tropical dry forest


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New 'Counterpoints' podcast uses analytics to put sports theories to the test
Meredith Somers
Data doesn't do much just sitting on a spreadsheet. Apply that information to decision making, and it's a whole new ballgame.
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Leave it to the analytical minds at MIT to come up with their own version of sports debate.
MIT Sloan senior lecturer Ben Shields, and Paul Michelman, editor-in-chief of MIT Sloan Management Review, are diving into data-driven decision making on their new podcast "Counterpoints."
The show's format follows Shields and Michelman discussing a central thesis for each episode, and then exploring that theory with a guest expert who's charged with presenting data to either support or reject that idea.
MIT Sloan Management Review editor-in-chief Paul Michelman, left, hosts "Counterpoints" with MIT Sloan senior lecturer Ben Shields.
"We are really trying to satisfy and pique the curiosity of sports fans who love numbers, and also help people outside of sports understand how data-driven decision making operates in sports," Shields said. "And in doing so, they might pick up a tip or two on how to use data to solve their own problems."
MIT Sloan management review launched "Counterpoints" Nov. 15 with two episodes. Future episodes will be released every two weeks. The first guests are Jessica Gelman, CEO of Kraft Analytics Group, and Ben Alamar, director of sports analytics at ESPN. The co-hosts have also taped an episode in which they interview an executive from a wearable technology company, and debate whether sleep offers athletes the best legal advantage in sports.
My hope is that each show will tee up new research opportunities in the fields of sports, technology, and analytics.
Ben Shields Senior Lecturer
"It is different from other versions of sports debate, we would argue, because other versions of sports debate use other types of rhetorical appeals to settle an argument," Shields said. "Whereas in this show we are relying on science and data to settle those arguments."
Shields said he's also making a point to ask each guest what data is needed, but isn't currently available, to better understand a particular thesis.
"My hope is that each show will tee up new research opportunities in the fields of sports, technology, and analytics," he said.
There will be 26 episodes for this first season, and while some shows might focus around a subject that's more timely given the sports calendar — think March Madness in the spring — the hosts said they wanted to retain some flexibility for their episodes.
Michelman said Counterpoints at its heart is a sports podcast, but there wasn't much of a stretch to tie sports analytics to business and management ideas."Sports is already seen as the pioneer in analytics — people naturally turn to sports as a way to look at what the most progressive data-based decision making is," Michelman said. "The connection's already there, so we don't need to force it."
For more info Meredith Somers News Writer (617) 715-4216 msomers@mit.edu
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Fresh plants which are hand-delivered have dominated the world when it comes to matters relating to love since they can be used as birthday presents, anniversary, vacation gifts, wedding present, and many others. When you want to want to get some plants for an event, you should consider buying them online since you will not have to waste a lot of time while shopping for the plants. You can make your orders from the internet when you are convinced that you have obtained the right plant for your present. The good thing about purchasing the plants online is that you will have the chance to get free deliveries on all the orders that you place. However, it is wise that you confirm that you select the most appropriate flower deliverer if you want to be sure that you will not be inconvenienced buying the plants online. The article will look at what to consider when choosing a shop where you can order plants online for delivery.
It is needed that you attest to it that you look at the time that it will take for the shop to bring the plants to your destination. Most of the delivery services will ship the order that you have placed to where you require them within 12 hours from the time you request the order. It is wise that you confirm that you select the online plant's shop which will not fail you when you need the plants on time. Click here for more information on online plants: plantz.com.
There are instances when you find that you have some issues regarding the flower delivery service in question. It is possible that you may lack time during the office hours so that you can raise your queries. It is for this cause that you should attest to it that the online seller has a customer support service which is available for 24 hours a day.
Most of the events happen during the weekend when a high number of the offices are closed. It means that you cannot afford to choose a flower delivery service which closes during some days of the week since they may inconvenience you. It is for this cause that you should be ready to confirm that the plant deliverer operates for seven days a week.
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View here for more details: https://www.huffingtonpost.com/entry/where-to-buy-houseplants-online-cheap_us_5ac26d66e4b00fa46f852d47.


Home Video This one-year-old toddler can translate Mandarin into English in seconds!
This baby may just turn one year old but he can already translate Mandarin into English in just seconds!
The one-year-old toddler was caught on camera translating what his mom says to him into English and he did it so easily!
The clip which was shot in Urumqi in the Xinjiang Uyghur Autonomous Region sees the toddler translating the Mandarin words into English words quickly and accurately.
The little boy enthusiastically says the English equivalent of the Mandarin words while sitting in his high chair and it seems obvious that he is having fun during the language lesson.
His mom says that she is aware of how important it is to master more than one language so she wants to raise her son to be bilingual.
Young children are natural language learners that they can pick up any language easily unlike adults. It is not surprising that this boy could learn and use two languages in a nick of time at such a tender age.
If you have young children, this is the perfect time to teach them as many languages as they can!


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Specialist Topics
Newly Discovered: Animal Fossils
Thread starter Anonymous
Abominable Snowman
NYS, USA
ramonmercado said:
Earth's first big predatory monster was a weird water bug as big as Tom Cruise, newly found fossils show.
Almost half a billion years ago, way before the dinosaurs roamed, Earth's dominant large predator was a sea scorpion that grew to 170 centimetres (5 feet 7 inches), with a dozen claw arms sprouting from its head and a spike tail, according to a new study.
Scientists found signs of these new monsters of the prehistoric deep in Iowa, of all places.
Geologists at the Iowa Geological Survey found 150 pieces of fossils about 18 metres (60 feet) under the Upper Iowa River, part of which had to be temporarily dammed to allow them to collect the specimens. Then scientists at Yale University determined they were a new species from about 460 million years ago, when Iowa was under an ocean
http://www.cbc.ca/news/technology/g...en-earth-s-1st-big-predator-1.3211106?cmp=rss
I beleive your referring to Pterygotus the largest sea scorpion (arthropod) of all time. This creature is supposed to have ambushed prey (trilobites, fish) and subdued them with its claws. Unlike other sea scorpions it was to large to leave the water. It's est. to have grown up to > 9' in length.
Monstrosa
Justified & Ancient
No it's Pentecopterus decorahensis.
Monstrosa said:
Pentecopterus decorahensis fossils come from Iowa. How do you figure this was Pentecopterus decorahensis when the tracks were found in Scotland? The actual animal that made the tracts was called Hibbertopterus.
http://news.bbc.co.uk/2/hi/uk_news/scotland/edinburgh_and_east/8632427.stm
PeteByrdie
Privateer in the service of Princess Frideswide
Earth's first big predatory monster was a weird water bug as big as Tom Cruise
So, not very big then!
The article has the headline:
"Human-sized Pentecopterus decorahensis attacked prey with claws attached to its head"
Make your minds up! Is it human sized or Tom Cruise sized? Okay, I'll leave it there. I've had nearly four months, and that's all I've come up with.
Jim said:
Pentecopterus decorahensis fossils come from Iowa. How do you figure this was Pentecopterus decorahensis when the tracks were found in Scotland?
We're mixing up two different stories on this thread. Let's take a moment to review the previous posts.
Likes: ramonmercado
The post you quoted was about Pentecopterus decorahensis. Read the quote
The 1st portion of the URL I posted reads as follows below:
A cast is being made of tracks left by a two-metre long ancient animal in north east Fife.
The tracks were made by a giant six-legged "sea scorpion" called Hibbertopterus as it crawled over damp sand about 330 million years ago.
It is the largest known walking trackway of a eurypterid or any invertebrate animal.
https://en.wikipedia.org/wiki/Hibbertopterus
I don't know how to further clarify?
Your post #15 quotes post#14 which is about Pentecopterus decorahensis.
Is that clear?
My previous post 17 and 21 clearly state that the tracks were left by the eurypterid Hibbertopterus in Scotland. It seemed the purpose of the tread (if staying on topic) was the sensational find of the ancient invertebrate tracts.
This has nothing to do with Pentecopterus decorahensis which is completely separate species of eurypterid found in North America.
I will repost the URL's concerning Hibbertoperus and the tracks it left in Scotland one more time for clarity.
My previous post 17 and 21 clearly state that the tracks were left by the eurypterid Hibbertopterus in Scotland.
Sorry Jim but you original post was this one, which was a response to Ramon's posting of this article, which was specifically and solely about Pentecopterus decorahensis. I don't think you read the article before responding.
Andy X
Larch Forest
For what it's worth, a local news article about that Iowan species - an arthropod so large it even dwarfs Tom Cruise - now immortalised in a municipal artwork:
Waiting 467 million years for a starring role
'The object of all that media attention along the Upper Iowa River in Freeport on Thursday afternoon? That would be the statue of "Pentecopterus Decorahensis," the six-foot-long sea scorpion that roamed the area 467 million years ago'.
Full article here at decorahnews.com
Likes: ramonmercado and Jim
oldrover
I love giant arthropods.
The whole family gives me the creeps. Here it compares a few to the size of a man. yuk
http://www.prehistoric-wildlife.com/species/p/pterygotus.html
Pterygotus:
5 foot head to tail
'Good depth perception'
Andy_X said:
Pterygotus, according to "The Complete Guide to Prehistoric Life" by Tim Haines and Paul Chambers 9'2"
Mythopoeika
I am a meat popsicle
Inside a starship, watching puny humans from afar
I'm guessing they died out because their main food source also died out...they look ideally suited to survive anything really.
It may be the reference point at where they measure the beast. However there seems to be some contention as to which of these sea scorpions was the largest? This video present Jaekelopterus at 2.5 m from head to tail. I suppose be it 2.5 m or 3 m, they would all be frightening.
As you say, big enough to be interesting.
ramonmercado
Eblana
Paleontologists discover 250-million-year-old new species of reptile in Brazil
March 11, 2016 in Other Sciences / Archaeology & Fossils
An international team of scientists, from three Brazilian universities and one UK university, have discovered a new fossil reptile that lived 250 million years ago in the state of Rio Grande do Sul, southernmost Brazil. The species has been identified from a mostly complete and well preserved fossil skull that the team has named Teyujagua paradoxa.
The fossil was discovered in the beginning of 2015 by a team from the Paleobiology Laboratory of the Universidade Federal do Pampa (Unipampa), in a Triassic rock exposure near the city of São Francisco de Assis. This discovery, published today in the journal Scientific Reports (Nature Publishing Group), helps to clarify the initial evolution of the group that gave rise to dinosaurs, pterosaurs (flying reptiles), crocodiles and birds.
The name Teyujagua comes from the language of the Guarani ethnic group and means 'fierce lizard'. It references a mythological beast called Teyú Yaguá, usually depicted as a lizard with a dog´s head.Teyujagua is very different from other fossils from the same age. Its anatomy is intermediate between the more primitive reptiles and a diverse and important group called 'archosauriforms'. Archosauriformes include all the extinct dinosaurs and pterosaurs, along with modern day birds and crocodiles.
The discovery of Teyujagua is important because it lived just after the great Permo-Triassic mass extinction event that occurred 252 million years ago. This extinction wiped out about 90 per cent of all species then living and was probably triggered by giant and intense volcanic eruptions in the eastern part of what is now Russia. ...
http://phys.org/news/2016-03-paleontologists-million-year-old-species-reptile-brazil.html
Likes: Jim
A team of researchers from the U.S., Germany and the U.K. has used modern technology to reveal the true nature of an ancient arachnid. In their paper published in Proceedings of the Royal Society B the team describes the ancient creature as "almost a spider."
Back in the 80's a team of researchers discovered a host of fossils in a part of what is now eastern France, but at least one of them was only partly visible because the rest of its body was encased in ironstone. Because attempting to remove the dense opaque stoneware would have destroyed the fossil, researchers simply put it in a drawer and waited for technology to develop that would allow for examining the fossil while still inside the stone. In this new effort, the researchers have used technology similar to medical CT scans to allow for creating 3D imagery of the fossil and in so doing have added another piece to the puzzle of how spiders evolved.
The fossil, named Idmonarachne brasieri was dated to approximately 305 million years ago, putting it before the dinosaurs, and it resembles modern spiders in many ways, but is missing one critical part: an organ for spinning silk. The fossil also did not have a tail-like appendage, which has been found on other arachnids of nearly the same time period, which suggested that it was a unique species, one that is believed to have gone extinct as its cousins continued to evolve into modern spiders. Because of its age and body structure, the specimen is helping scientists learn more about the manner in whichspiders evolved. They believe it is one of the closet relatives without actually being a true spider. The 1.5cm arachnid was also found to have impressive jaws, which further helped prove it was a unique species.
http://phys.org/news/2016-03-ancient-fossil-bridge-early-arachnids.html
Ten million years ago, a green and black snake lay coiled in the Spanish undergrowth. Once, paleontologists would have been limited to the knowledge they could glean from its colorless fossil remains, but now they know what the snake looked like and can guess how it acted. Researchers reporting on March 31 in Current Biology have discovered that some fossils can retain evidence of skin color from multiple pigments and structural colors, aiding research into the evolution and function of color.
So far, scientists filling the ancient-Earth coloring book with pigment have been limited to browns, blacks, and muddy reds when melanin lasts as organic material. No other pigments have been shown to survive fossilization. But this snake's skin was fossilized in calcium phosphate, a mineral that preserves details on a subcellular level.
The fossilized snakeskin maintained the unique shapes of different types of pigment cells, which would have created yellows, greens, blacks, browns, and iridescence while the animal was alive. The pigments themselves are now decayed, but with the cell shapes—specific to each kind of pigment—mineralized, there's enough information to reconstruct their colors.
"When you get fossil tissues preserved with this kind of detail, you're just gobsmacked when you're looking at it under the microscope," says first author Maria McNamara, a paleobiologist at University College Cork. "I was astounded. You almost can't believe what you're seeing." ...
http://phys.org/news/2016-03-fossilized-snake-true.html
Read more at: http://phys.org/news/2016-03-fossilized-snake-true.html#jCp
Likes: tastyintestines and Jim
doesn't negotiate with terriers
Weird fossils ..
http://wizzed.com/17-weirdest-fossi...utbrain&utm_campaign=weirdestfossilseverfound
Interesting array of fossils. Sadly, not a very accurate description posted for many of them.
Not new, six years old, but still interesting and I don't think it's been posted here before;
"Meiolaniid or horned turtles are members of the extinct Pleistocene megafauna of Australia and the southwest Pacific. The timing and causes of their extinction have remained elusive. Here we report the remains of meiolaniid turtles from cemetery and midden layers dating 3,100/3,000 calibrated years before present to approximately 2,900/2,800 calibrated years before present in the Teouma Lapita archaeological site on Efate in Vanuatu".
There were Australian Pleistocene species that got very big, a couple of meters in length.
With horned heads, and a fused 'club' section at the end of the tail.
New marsupial predator from the Riversleigh deposits in Queensland. Silly name though.
A new species of extinct flesh-eating marsupial that terrorized Australia's drying forests about 5 million years ago has been identified from a fossil discovered in remote northwestern Queensland. The hypercarnivore is a distant and much bigger cousin of Australia's largest living, flesh-eating marsupial, the Tasmanian devil. Named Whollydooleya tomnpatrichorum, it is the first creature to be formally identified from a range of strange new animals whose remains have been found in a recently discovered fossil site in Queensland dubbed 'New Riversleigh.'
https://www.sciencedaily.com/releases/2016/07/160725104121.htm
Paper here;
https://museumvictoria.com.au/pages/381441/137-150_MMV74_Archer_5_WEB.pdf
This is currently being reported as a feathered dinosaur's tail preserved in amber ..
http://news.nationalgeographic.com/...tail-amber-theropod-myanmar-burma-cretaceous/
It's definitely a dinosaur, and a Mesozoic one at that, the only question is which group. I think it might well turn out to be one of the theropods near to the birds (there is a word for these but I can't spell it, and don't really understand what it means), but that's no less remarkable than any other.
Either way, it is amazing to think that you can see the feathers, their colour and arrangement on the tail of an actual Mesozoic dinosaur. I don't think anyone ever really thought this would happen.
Yes, we had wings last year, but as stupid a thing to say as this is, they're a bit familiar from living birds, this though is something else. It's a type of structure no human eye has ever* seen from across a vest span of time. And it's the real thing. Despite a personal indifference to most non avian (wrong tag I know) dinosaurs, I genuinely think this might be the most amazing thing I've ever seen.
And it proves my theory that dinosaurs came in either beige or magnolia, this one came in both, two tone! so that makes them at least twice as interesting as I thought they were before.
* Although in the version I read there are rumours that 'other' such things turn up from time to time. Are there a little pair of theropod eyes staring out through amber in some fat cat's private collection?
Likes: Bigphoot2
lordmongrove
oldrover said:
Coelurosaurs, it contained many species from the tiny compsognathus to the mighty Tyrannosaurus rex.
Likes: oldrover
As well as the birds. It's fascinating.
The phrase I was looking for earlier was non-avialan'.
Mungoman
Mostly harmless...
In the Bush (Peak Hill, NSW)
G'day. I ramble around this rather large country, and sometimes find things.
On one occasion I was in Broome, North Western Australia for a look around, where I found what I thought was a rib, but it was too heavy and solid, so I started thinking it's a tooth.
I found it at low tide in the mangroves (yeah, I know, big salties and all that, but the crabs mate! the crabs!), and thought that it was a Dugongs tooth (Dugong dugon) until recently.
The tooth is solid, has no growth rings or porosities for blood vessels which Dugong teeth have. It is also 17 centimetres long, 8 centimetres around, broken off at both ends, so the tooth presumably was longer when it was in situ, and weighs 97 grammes. It is 'D' shaped along most of its length, but is almost circular in circumference at one end. It is curved at an angle from the perpendicular of 22 degrees and it has a distortion (twist) of approximately 3 degrees in an anticlockwise direction
Looking at it, I think that it would've been from the bottom jaw of a large herbivorous animal, and possibly the left lower incisor
My thoughts have turned to mega fauna, possibly a member of the Diprodontia order. It has split along the shaft and It has also been chewed on by animals unknown, but not damaged. There are no visible abrasion marks attributable to humanity
Any thoughts and ideas would be most welcome
Photo's below:


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Yes, it is a bit pot-luck with the low-cost CC1101 devices. I was lucky with my first purchase which was a £2 device purchased directly via an Ebay seller in China and an 868MHz device turned up. I decided to purchase my last one from a UK seller which cost £12 as I wanted one with header pins and antenna with socket to help with further testing.
Well, I have an 868Mhz setup now (with irritating slightly-smaller header spacing that meant I had to alternate pins on each side of the board!). Unfortunately this board doesn't support the SMA connector and has its own little antenna, but the range seems to be much improved and I'm reliably getting messages from all over the house.
Is there any way to "inject" commands safely? I'm using evohome-Listener to connect to OpenHAB via MQTT. I've always wanted some form of local control, but equally don't want to end up writing my own software to replace the whole controller!
How does heat demand work? I have two BDR91s - CH and DHW with no direct boiler control (boiler is fired from the valve microswitches). I frequently see messages suggesting the relay heat demand is 56%, but the actuator is off so the boiler isn't firing. Is the CH relay doing some (very slow) PWM or similar? This even seems to happen if I tell the controller there's an OpenTherm relay (without anything bound) - I just start to get boiler demand messages in the same way - but the actuator turning on and off seems to be independent.
Yes, the heat demand (and config params) are sent to the BDR, and it takes care of turning itself on and off according to the required demand.
You can inject commands, yes. I'm not sure which firmware you're running. If it's mine (or a derivative), this *used* to work. I've not tried it for a long time though, but I see no reason why it shouldn't. Domoticz uses this feature to be able to update the controller mode (away, day off, etc.), the setpoints, etc.
I play around a lot with injecting commands into my Evohome systems via Domoticz and also directly as part of my of my ongoing work on the Domoticz code, fixing bugs and adding additional functionality. The only time I've ever been able to temporarily mess up my system is during some testing of experimental schedule upload/download functionality which caused the controller to lock-up. This was fixed simply by removing the batteries and it restarted with no problems or loss of information, so I'm pretty confident that you won't mess things up by injecting commands. Unfortunately though, I don't have any simple suggestions for how to directly inject your own messages. I sometimes just send an appropriately structured message via a serial port client e.g. PuTTY etc, but there is very little publicly available information on the message structure etc. so it's pretty much trial and error.


Along with showcasing the new Zodiac Job System.
Square Enix is prepping its next big HD port in the Final Fantasy franchise with Final Fantasy 12: The Zodiac Age. A new trailer for the JRPG takes a somewhat comical look at the Gambit system which defines the combat. Check it out below and you too can swoon over Balthier.
The Gambit system in Final Fantasy 12: The Zodiac Age promises some improvements over its PS2 incarnation, allowing players to choose from 12 classic Jobs and customize their characters and skills accordingly. Given how some fans criticized the system for being too hands-off (while others enjoyed the customization it brought to the table), it should be interesting to see how the Zodiac Job System works.
Final Fantasy 12: The Zodiac Age arrives on July 11th for the PS4 and will provide HD visuals for the 2006 game among other improvements. What are your thoughts on the trailer and the changes to the Gambit system? Let us know in the comments.


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Displaying items by tag: A Special Day
Blu-ray News – Lost in Space/Criterion Amazon pre-orders, plus new Robert Wise films from Olive & Orphan Black: S3
All right, we just have a couple of things for you today...
First up, all those Criterion October titles are now available for pre-order on Amazon.com – just click on the titles here (or on the images below): Mulholland Dr., My Own Private Idaho, The Brood, A Special Day, and Kwaidan. Both Universal's Back to the Future: 30th Anniversary Trilogy ($49.98) and the Back to the Future: The Complete Adventures – Limited Edition ($99.88) are available for pre-order as well. [Read on here…]
Robert A Harris
Back to the Future: 30th Anniversary Trilogy
Mulholland Dr
Kwaidan
Criterion October
Spartacus remastered
My Fair Lady remastered
Lost in Space: The Complete Adventures
Back to the Future: The Complete Adventures Limited Edition
The Captive City
Two for the Seesaw
Orphan Black: Season Three
Rookie Blue: Season Five Volume One
Blu-ray News – Criterion's October slate, Back to the Future: 30th box, Poltergeist, South Park, Penny Dreadful & more
All right, we've got more new release news for you…
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Poltergeist: Extended Cut
Back to the Future: 30th Anniversary Trilogy Flux Capacitor Limited Edition
Spaced Invaders