Demographic processes that ensure the recovery and resilience of marine populations are critical as climate change sends an increasing proportion on a trajectory of decline. Yet for some populations, recovery potential remains high. We conducted annual monitoring over 9 years (2012-2020) to assess the recovery of coral populations belonging to the genus Pocillopora. These populations experienced a catastrophic collapse following a severe typhoon in 2009. From the start of the monitoring period, high initial recruitment led to the establishment of a juvenile population that rapidly transitioned to sexually mature adults, which dominated the population within 6 years after the disturbance. As a result, coral cover increased from 1.1% to 20.2% during this time. To identify key demographic drivers of recovery and population growth rates (λ), we applied kernel-resampled integral projection models (IPMs), constructing eight successive models to examine annual change. IPMs were able to capture reproductive traits as key demographic drivers over the initial 3 years, while individual growth was a continuous key demographic driver throughout the entire monitoring period. IPMs further detected a pulse of reproductive output subsequent to two further Category 5 typhoon events during the monitoring period, exemplifying key mechanisms of resilience for coral populations impacted by disturbance. Despite rapid recovery, (i.e., increased coral cover, individual colony growth, low mortality), IPMs estimated predominantly negative values of λ, indicating a declining population. Indeed, while λ translates to a change in the number of individuals, the recovery of coral populations can also be driven by an increase in the size of surviving colonies. Our results illustrate that accumulating long-term data on historical dynamics and applying IPMs to extract demographic drivers are crucial for future predictions that are based on comprehensive and robust understandings of ecological change.
越來越多物種的族群數因氣候變遷而日益下降，故海洋物種復原力與韌性的族群統計過程至關緊要。話雖如此，某些物種仍舊充滿復原潛力。在2009年，鹿角珊瑚屬珊瑚族群在威力強大的颱風襲擊之下而嚴重崩壞，我們針對此族群進行長達9年的(2012–2020)年度監控，評估復原情況。在監控初期，大量的入添建立了幼年珊瑚族群。這些幼年珊瑚快速進入性成熟期，在干擾事件後的6年內成為主導族群，珊瑚覆蓋率也從1.1% 成長至20.2%。為獲取珊瑚礁復原力和韌性的關鍵族群驅動因素以及族群成長率(λ)，我們應用核心重採樣積分投影(IPMs)，並建立8組連續模型以檢視每一年的變化。IPMs結果指出，繁殖性狀為首3年的關鍵族群驅動因素，而個體成長則是整段監測期間持續性的關鍵族群驅動因素。在研究期間，IPMs更近一步檢測到此族群在2次五級颱風侵襲後分別有短促的繁殖輸出，體現珊瑚族群在干擾事件後的關鍵復原調節機制。即便族群快速恢復(珊覆蓋率增加、個體族群成長、低死亡率)，IPMs估算的λ卻多為負值，象徵族群正在縮減。的確，λ代表個體數量改變，但倖存珊瑚殖民地的擴張也能驅動珊瑚族群的復原。若要做出以完善生態變遷認知為基礎的預測，長期搜集歷史動態資料以及應用IPMs提取族群驅動因素，至關重要。.

To comprehensively reveal and utilize the plant resources of Lycium in China, this study determined and compared the content of monosaccharides, polysaccharides, proteins, carotenoids, organic acids, and phenols in the dried fruits of 8 different Lycium species. Furthermore, the traits including the hundred-fruit weight, shape index, and the ratio of seed to fruit were measured, and the correlations between the content of chemical compounds and fruit traits were assessed. The results showed that L. truncatum, L. barbarum var. auranticarpum, and L. dasystemum var. rubricaulium were the species with high content of monosaccharides. L. barbarum and L. barbarum var. auranticarpum were the species with high content of total polysaccharides, and L. barbarum was the species with high content of carotenoids. L. yunnanense and L. chinense var. potaninii had high content of soluble proteins. L. truncatum, L. dasystemum, and L. barbarum showed high content of organic acids and phenols. L. barbarum and L. barbarum var. auranticarpum demonstrated high fruit weight, while L. yunnanense and L. chinense had high ratios of seed to fruit. The multivariate statistical analysis indicated that polysaccharides, carotenoids, hundred-fruit weight, ratio of seed to fruit, scopolamine, fructose, 5-O-feruloylquinic acid, kaempferol-3-O-rutinoside, scopoletin, cryptochlorogenic acid, and caffeic acid were the main differential compounds in the fruits among different species of Lycium. Moreover, the results of correlation ananysis showed strong correlations between fruit traits and compound content. Specifically, the hundred-fruit weight had positive correlations with the content of total polysaccharides and scopola-mine. The ratio of seed to fruit was negatively correlated with the content of rutin, kaempferol-3-O-rutinoside, fructose, and glucose and positively correlated with the content of succinic acid, soluble proteins, and zeaxanthin. The results implied that chemical compounds presented different distribution patterns in the fruits of 8 Lycium species. This study provides a basis for the comprehensive development and utilization, targeted breeding, and value-added application of Lycium plants.

OBJECTIVE: In the Amazon basin, seasonally flooded (SF) forests offer varying water constraints, providing an excellent way to investigate the role of habitat selection on microbial communities within plants. However, variations in the microbial community among host plants cannot solely be attributed to environmental factors, and how plant traits contribute to microbial assemblages remains an open question.
METHODS: We described leaf- and root-associated microbial communities using ITS2 and 16 S high-throughput sequencing and investigated the stochastic-deterministic balance shaping these community assemblies using two null models. Plant ecophysiological functioning was evaluated by focusing on 10 leaf and root traits in 72 seedlings, belonging to seven tropical SF tree species in French Guiana. We then analyzed how root and leaf traits drove the assembly of endophytic communities.
RESULTS: While both stochastic and deterministic processes governed the endophyte assembly in the leaves and roots, stochasticity prevailed. Discrepancies were found between fungi and bacteria, highlighting that these microorganisms have distinct ecological strategies within plants. Traits, especially leaf traits, host species and spatial predictors better explained diversity than composition, but they were modest predictors overall.
CONCLUSIONS: This study widens our knowledge about tree species in SF forests, a habitat sensitive to climate change, through the combined analyses of their associated microbial communities with functional traits. We emphasize the need to investigate other plant traits to better disentangle the drivers of the relationship between seedlings and their associated microbiomes, ultimately enhancing their adaptive capacities to climate change.

Children infer personality traits from faces when they are asked explicitly which face appears nice or mean. Less is known about how children use face-trait information implicitly to make behavioral evaluations. We used the Ambiguous Situations Protocol to explore how children use face-trait information to form interpretations of ambiguous situations when the behavior or intention of the target child was unclear. On each trial, children (N = 144, age range = 4-11.95 years; 74 girls, 67 boys, 3 gender not specified; 70% White, 10% other or mixed race, 5% Asian, 4% Black, 1% Indigenous, 9% not specified) viewed a child\'s face (previously rated high or low in niceness) before seeing the child\'s face embedded within an ambiguous scene (Scene Task) or hearing a vignette about a misbehavior done by that child (Misbehavior Task). Children described what was happening in each scene and indicated whether each misbehavior was done on purpose or by accident. Children also rated the behavior of each child and indicated whether the child would be a good friend. Facial niceness influenced children\'s interpretations of ambiguous behavior (Scene Task) by 4 years of age, and ambiguous intentions (Misbehavior Task) by 6 years. Our results suggest that the use of face-trait cues to form interpretations of ambiguous behavior emerges early in childhood, a bias that may lead to differential treatment for peers perceived with a high-nice face versus a low-nice face.

Agricultural habitats are frequently disturbed, and disturbances could have major effects on species in upper trophic levels such as hymenopteran parasitoids that are important for biological control. A strategy for conservation biological control is to provide a diversified agricultural landscape which increases the availability of resources such as sugar required by parasitoid biological control agents. Here, we ask whether parasitoids occurring in agriculture benefit from sugar resources more or less than parasitoids occurring in natural habitats surrounding agricultural fields. We collected parasitoids from agricultural alfalfa fields, field margins, and natural prairies, and in the lab we randomly divided them into two treatments: half were given a constant supply of a sugar source to test their residual lifespan, and half were given neither sugar nor water to test their hardiness. Collected individuals were monitored daily and their day of death recorded. Parasitoids receiving a sugar source lived substantially longer than those without. Parasitoids collected in prairies lived longer than those from alfalfa fields in both the residual lifespan and hardiness treatments, with parasitoids from field margins being intermediate between them. Furthermore, the benefits of a sugar source to increase longevity was lower for parasitoids collected in agriculture than in natural habitats. This suggests that, even though parasitoid biological control agents benefit from sugar resources, their short lifespans make the benefit of sugar resources small compared to parasitoids that occur in natural habitats and have longer lifespans, and are adapted to consistent sugar sources.

Visual search (VS) comprises a class of tasks that we typically perform several times during a day and requires intentionally scanning (with or without moving the eyes) the environment for a specific target (be it an object or a feature) among distractor stimuli. Experimental research in lab-based or real-world settings has offered insight into its underlying neurocognitive mechanisms from a nomothetic point of view. A lesser-known but rapidly growing body of quasi-experimental and correlational research has explored the link between individual differences and VS performance. This combines different research traditions and covers a wide range of individual differences in studies deploying a vast array of VS tasks. As such, it is a challenge to determine whether any associations highlighted in single studies are robust when considering the wider literature. However, clarifying such relationships systematically and comprehensively would help build more accurate models of VS, and it would highlight promising directions for future research. This systematic review provides an up to date and comprehensive synthesis of the existing literature investigating associations between common indices of performance in VS tasks and measures of individual differences mapped onto four categories of cognitive abilities (short-term working memory, fluid reasoning, visual processing and processing speed) and seven categories of traits (Big Five traits, trait anxiety and autistic traits). Consistent associations for both traits (in particular, conscientiousness, autistic traits and trait anxiety - the latter limited to emotional stimuli) and cognitive abilities (particularly visual processing) were identified. Overall, however, informativeness of future studies would benefit from checking and reporting the reliability of all measurement tools, applying multiplicity correction, using complementary techniques, study preregistration and testing why, rather than only if, a robust relation between certain individual differences and VS performance exists.

Going back in time through a phylogenetic tree makes it possible to evaluate ancestral genomes and assess their potential to acquire key polymorphisms of interest over evolutionary time. Knowledge of this kind may allow for the emergence of key traits to be predicted and pre-empted from currently circulating strains in the future. Here, we present a novel genome-wide survival analysis and use the emergence of drug resistance in Mycobacterium tuberculosis as an example to demonstrate the potential and utility of the technique.

Scarcity of morphological data limits the potential of functional ecology approaches, which rely on traits to elucidate ecological processes. Dragonflies and damselflies (Odonata) are a frequently used ecological model for which, however, only limited morphological data is available. Here, it is presented a field sampling protocol to collect ecologically relevant yet largely unavailable morphological traits of Odonata. The protocol enables the straightforward collection of traits from living individuals directly in the field. Those traits include body mass, wing area and wing loading as well as thorax width, hindwing length and body length. Furthermore, the protocol allows for posterior wing morphometric analyses. The protocol proved to be robust and universally applicable based on testing on roughly half (76) of all European odonate species. The use of this protocol can increase our understanding of odonatan morphology at interspecific and intraspecific levels and assist in developing mechanistic understanding of their ecology.

BACKGROUND: Nematodes are the most abundant and diverse metazoans on Earth, and are known to significantly affect ecosystem functioning. A better understanding of their biology and ecology, including potential adaptations to diverse habitats and lifestyles, is key to understanding their response to global change scenarios. Mitochondrial genomes offer high species level characterization, low cost of sequencing, and an ease of data handling that can provide insights into nematode evolutionary pressures.
RESULTS: Generally, nematode mitochondrial genomes exhibited similar structural characteristics (e.g., gene size and GC content), but displayed remarkable variability around these general patterns. Compositional strand biases showed strong codon position specific G skews and relationships with nematode life traits (especially parasitic feeding habits) equal to or greater than with predicted phylogeny. On average, nematode mitochondrial genomes showed low non-synonymous substitution rates, but also high clade specific deviations from these means. Despite the presence of significant mutational saturation, non-synonymous (dN) and synonymous (dS) substitution rates could still be significantly explained by feeding habit and/or habitat. Low ratios of dN:dS rates, particularly associated with the parasitic lifestyles, suggested the presence of strong purifying selection.
CONCLUSIONS: Nematode mitochondrial genomes demonstrated a capacity to accumulate diversity in composition, structure, and content while still maintaining functional genes. Moreover, they demonstrated a capacity for rapid evolutionary change pointing to a potential interaction between multi-level selection pressures and rapid evolution. In conclusion, this study helps establish a background for our understanding of the potential evolutionary pressures shaping nematode mitochondrial genomes, while outlining likely routes of future inquiry.

Recent work has nested the Alternative Model for Personality Disorders (AMPD) within several theoretical paradigms of personality and clinical psychology (e.g., multivariate, psychodynamic). This has both spurred on additional research and aided in practical application. Connecting the model to other theoretical heuristics may lead to further advances. One candidate for such a theory is that of evolutionary psychology, which attempts to provide explanations of human behavior (including personality traits) rooted in adaptation. In this article, we review and integrate the theoretical and empirical literature on the AMPD and evolutionary psychology, providing a synthesis of the two models in the hope of furthering the research and application of both.