scholarly journals Individual-level specialisation and interspecific resource partitioning in bees revealed by pollen DNA metabarcoding

2021 ◽  
Author(s):  
Jan Klečka ◽  
Michael Mikát ◽  
Pavla Koloušková ◽  
Jiří Hadrava ◽  
Jakub Straka
Keyword(s):  
Resource Partitioning ◽  
Foraging Behaviour ◽  
Plant Reproduction ◽  
Short Term ◽  
Temporal Scales ◽  
Individual Level ◽  
Multi Scale ◽  
Foraging Preferences ◽  
Dna Metabarcoding ◽  
Flower Visiting

It is increasingly recognised that intraspecific variation in traits, such as morphology, behaviour, or diet is both ubiquitous and ecologically important. While many species of predators and herbivores are known to display high levels of between-individual diet variation, there is a lack of studies on pollinators. It is important to fill in this gap because individual-level specialisation of flower-visiting insects is expected to affect their efficiency as pollinators with consequences for plant reproduction. Accordingly, the aim of our study was to quantify the level of individual-level specialisation and foraging preferences, as well as interspecific resource partitioning, across different temporal scales in three co-occurring species of bees of the genus Ceratina (Hymenoptera: Apidae: Xylocopinae), C. chalybea, C. nigrolabiata, and C. cucurbitina. We conducted a field experiment where we provided artificial nesting opportunities for the bees and combined a short-term mark-recapture study with the dissection of the bees' nests to obtain repeated samples from individual foraging females and complete pollen provisions from their nests. Hence, we could study variation of the composition of pollen collected by the bees at different temporal scales. We used DNA metabarcoding based on the ITS2 locus to identify the composition of the pollen samples. We found that the composition of pollen carried on the bodies of female bees and stored in the brood provisions in their nests significantly differed among the three co-occurring species. At the intraspecific level, individual females consistently differed in their level of specialisation and in the composition of pollen carried on their bodies and stored in their nests. Our study thus provides evidence of consistent individual-level specialisation in pollinators across multiple temporal scales. We also demonstrate that higher generalisation at the species level stemmed from larger among-individual variation in diets as observed in other types of consumers, such as predators. Our study thus reveals how specialisation and foraging preferences of bees change from the scale of individual foraging bouts to complete pollen provisions accumulated in their nests over their lifetime. Such multi-scale view of foraging behaviour is necessary to improve our understanding of the functioning of plant-flower visitor communities.

scholarly journals Role of nurses to improve self-care in heart failure patients: a systematic review and meta-analysis

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Massimi ◽  
C De Vito ◽  
M L Rega ◽  
P Villari ◽  
G Damiani
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Meta Analysis ◽  
Self Care ◽  
Educational Interventions ◽  
Management Skills ◽  
Short Term ◽  
Post Discharge ◽  
Individual Level ◽  
Heart Failure Patients

Abstract Introduction Heart Failure (HF) is a pandemic chronic disease with a prevalence up to 3% in the general population, representing the main cause of hospitalization for people over 65. Self-care plays a central role in the management of patients with HF, showing evidence of effectiveness in reducing re-hospitalization rates and mortality. Methods We carried out a systematic review and meta-analysis to assess the efficacy of nurse-led educational interventions Vs usual care in improving self-care skills of patients with chronic HF. The main biomedical databases were searched for Randomized Control Trials (RCTs) of nurse-led educational interventions performed on adults with a previous diagnosis of HF. Improvement of HF self-management skills (self-care level) was summarized by calculating the standardized mean difference (SMD) and 95% confidence intervals (CI) stratified for the length of the follow-up. Results Globally, 14 RCTs were included involving 2078 participants. Ten studies showed the efficacy of the interventions at 3 months (short term) with a SMD of 0.78 (95% CI 0.38-1.18) in favor of the self-care education interventions. Five studies reported on self-care abilities at 6-9 months (medium term), not showing statistically significant results (SMD 0.35, 95%CI 0.11-0.81). The long-term effect of the educational interventions showed no statistically significant improvement in self-care behaviors (three studies, SMD 0.05, 95CI% 0.12 - 0.22). Conclusions These results show that nursing educational interventions improve self-care behaviors in HF, but mainly in the short term. Intensive educational interventions led by nurses, associated with appropriate continuity and transition of care, can determine the best outcomes for patients with HF, strengthening self-care behaviors over time. This approach could have a major impact not only on individual level, but on the general reduction of complications, hospitalization, medical costs and ultimately mortality. Key messages Nurse-led educational programs have a short-term efficacy in enhancing self-care behaviors among heart failure patients. Post-discharge repeated educational interventions, along with timely and shared plans ruling the transition between the hospital and the other providers, are strongly needed.

Abstract MP70: Short-term Fine Particulate Air Pollution Is Associated With Shorter Sleep Duration And Higher Sleep Variability In Adolescents

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Fan He ◽  
Julio Fernandez-Mendoza ◽  
Jeff D Yanosky ◽  
Vernon M Chinchilli ◽  
Laila Al-shaar ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cardiovascular Diseases ◽  
Sleep Duration ◽  
Later Life ◽  
Night Sleep ◽  
Short Term ◽  
Individual Level ◽  
Particulate Air Pollution ◽  
Fine Particulate ◽  
Objectively Measured

Introduction: Sleep deprivation and large sleep variability are potential risk factors for obesity and cardiovascular diseases. While it is plausible that particulate air pollution may contribute to these unfavorable sleep patterns, very few studies have been conducted to assess the association between fine particulate (PM 2.5 ) air pollution and objectively measured sleep duration and its variability in an adolescent U.S. population. Hypothesis: We tested the hypothesis that higher individual-level short-term PM 2.5 exposure is associated with shorter sleep duration and higher sleep variability among adolescents. Methods: We analyzed the available data collected from 421 adolescents who participated in the follow-up examination of the population-based Penn State Child Cohort (PSCC) study. To estimate individual-level short-term PM 2.5 exposure, a personal nephelometer (Thermo pDR-1200) was used to measure real-time PM 2.5 concentration for 24 hours from the study participants. The 24-hour mean PM 2.5 concentration was used to quantify the short-term PM 2.5 exposure. To obtain objectively-measured habitual sleep duration (HSD) and habitual sleep variability (HSV), an actigraphy (GT3X+) was used to collect sleep data for 7 consecutive nights, including 1 night in parallel with the PM 2.5 monitoring and 6 nights thereafter. HSD and HSV were calculated as the intra-individual mean and standard deviation (SD) of the 7-night sleep duration, respectively. Participants with < 5 nights (70% of 7 nights) of data were excluded from the analyses. The associations between the individual-level PM 2.5 exposure and HSD/HSV were evaluated by using multi-variable adjusted linear regression models, controlling for age, race, sex, BMI percentile, environmental temperature, and relative humidity. Results: The mean (SD) age of the study population was 16.9 (2.2) years. The study sample consisted of 54% males and 78% whites. The 24-hour mean (SD) of PM 2.5 concentration was 16.9 (26.8) μg/m 3 , while the average HSD and HSV were 7.0 (0.9) hours and 1.2 (0.6) hours, respectively. We observed that a 10 μg/m 3 increase in the 24-hour mean PM 2.5 was associated with significantly lower HSD [β (SE): -0.06 (0.03) hours, p=0.02] and larger HSV [β (SE): 0.04 (0.02) hours, p=0.04]. The effect sizes were approximately 7% of their respective SDs. Conclusion: Individual-level short-term PM 2.5 exposure is associated with objective-measured shorter sleep duration and higher night-to-night sleep variability among U.S. adolescents. These observed associations suggest that particulate air pollution exposure in early life may impact habitual sleep pattern, which may in turn be associated with the risks of obesity and cardiovascular diseases in later life.

Resource partitioning by two syntopic sister species of butterflyfish (Chaetodontidae)

2017 ◽  
Vol 98 (7) ◽  
pp. 1767-1773 ◽  
Author(s):  
Ana M.R. Liedke ◽  
Roberta M. Bonaldo ◽  
Bárbara Segal ◽  
Carlos E.L. Ferreira ◽  
Lucas T. Nunes ◽  
...  
Keyword(s):  
Puerto Rico ◽  
Resource Partitioning ◽  
Diet Composition ◽  
Foraging Behaviour ◽  
Nutritional Condition ◽  
Ecological Communities ◽  
Substrate Selection ◽  
Feeding Rates ◽  
Bite Rate ◽  
Close Phylogenetic Relationship

Resource partitioning is considered one of the main processes driving diversification in ecological communities because it allows coexistence among closely related and ecologically equivalent species. We combined three complementary approaches, i.e. the evaluation of foraging behaviour, diet composition and nutritional condition (RNA:DNA ratio), to assess feeding by two closely related (sister) butterflyfishes that are syntopic in Puerto Rico. Chaetodon capistratus had a higher abundance and higher bite rate and selected octocorals and hard corals for feeding, whereas Chaetodon striatus fed preferentially on sandy substrates. Cnidarians and polychaetes were the most representative diet items for both species, but C. capistratus preferred the former (Feeding Index of 74.3%) and C. striatus the latter (Feeding Index of 60.4%). Similar RNA:DNA ratios for both species suggest that, although they differ in feeding rates and diet, C. capistratus and C. striatus have similar nutritional fitness. Therefore, these species are both zoobenthivores but show clear differences in their substrate selection. The differences in the use of foraging substrate by C. capistratus and C. striatus, despite their close phylogenetic relationship and similar diets, suggest that these species coexist by resource partitioning.

scholarly journals The prevalence of extra-lethal violence across cultures in warfare

2017 ◽  
Author(s):  
◽  
Aaron Z. Johnson
Keyword(s):  
Cultural Analysis ◽  
Cross Cultural ◽  
Costly Signaling ◽  
Human Relations ◽  
Short Term ◽  
Direct Benefit ◽  
Lethal Violence ◽  
Individual Level ◽  
The Individual ◽  
Decisive Advantage

Extra-Lethal Violence, a form of physical aggression that goes beyond the necessity to kill someone, presents a conundrum: it is inefficient and dangerous to produce, especially during warfare. Extra-Lethal Violence, particularly when it manifests in warfare, does not contribute to the immediate survival of individuals; the time, effort, and lack of awareness of surroundings or other attack suggests that Extra-Lethal Violence could be maladaptive at the individual level or in the short term. Yet this individually risky behavior that seems to have no direct benefit to the aggressor is both common and persistent across time and space. We utilized the electronic Human Relations Area Files (HRAF) to conduct a cross cultural analysis of the prevalence and potential predictors of Extra-Lethal Violence. Our research indicates that Extra-Lethal Violence is present across all populated regions of the world, for the entire timespan of the ethnographic record up to the ethnographic present, across subsistence, marriage, and social complexity levels. Our research suggests that Costly Signaling Theory (CST) is currently the best explanation for this behavior. Extra-Lethal Violence can be characterized as a difficult to fake, clear indicator of martial skill and physical fitness that has a high broadcast efficiency, both within and between groups. Rather than allowing behaviors such as Extra-Lethal Violence to be labeled as 'abhorrent' or 'disgusting,' we must view Extra-Lethal Violence in the same light as the cavalry, the ironclads, or nuclear weapons: societies seeking a decisive advantage over their enemies, utilizing available resources, be they material or behavioral.

scholarly journals Floral resource partitioning by individuals within generalised hoverfly pollination networks revealed by DNA metabarcoding

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Andrew Lucas ◽  
Owen Bodger ◽  
Berry J. Brosi ◽  
Col R. Ford ◽  
Dan W. Forman ◽  
...  
Keyword(s):  
Resource Partitioning ◽  
Dna Metabarcoding ◽  
Floral Resource ◽  
Floral Resource Partitioning

scholarly journals The importance of financial recession for mental health among students: short- and long-term analyses from an ecosocial perspective

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Anne Hammarström ◽  
Pekka Virtanen
Keyword(s):  
Mental Health ◽  
Labour Market ◽  
Somatic Symptoms ◽  
High Response Rate ◽  
Future Research ◽  
Short Term ◽  
Individual Level ◽  
Cohort Differences ◽  
Short And Long Term

Background and aim: Referring to the ecosocial theory and utilising the ‘natural experiment’ setting provided by the global recession at the beginning of 1990s, the aim of our study was to analyse the short- and long-term associations between trade and mental health in young students followed until mid-adulthood. Method: The study was based on two prospective cohort studies, the older and the younger Northern Swedish Cohort which both consisted of all pupils in a middle-sized industrial town in Northern Sweden. At age 21, the younger cohort entered the labour market during the deep recession of the early 1990s, while the older cohort entered the labour market during the boom of the 1980s. Both cohorts were followed up with a high response rate in mid adulthood. For this study, all students were selected at age 21. Results: At age 21, those who studied during recession had more depressive and functional somatic symptoms than those who studied during boom. The cohort differences did not remain over age: by the follow-up in early middle age the differences between the cohorts were non-significant, most notably due to decreased depressive symptoms in the younger cohort and increase of functional somatic symptoms in the older cohort. Conclusions: The short-term mental health consequences of the business cycle seem to be more extensive than limited only to those who are unemployed, even though the possible long-term consequences seem to be more complex. Thus, the macrolevel had a great short-term impact on the individual level in relation to the microlevel setting of university/school. The chronosystem was also of major importance. Future research would benefit from taking the context into account.

scholarly journals Multi-Scale Convolutional Neural Network With Time-Cognition for Multi-Step Short-Term Load Forecasting

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 88058-88071 ◽  
Author(s):  
Zhuofu Deng ◽  
Binbin Wang ◽  
Yanlu Xu ◽  
Tengteng Xu ◽  
Chenxu Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Load Forecasting ◽  
Short Term ◽  
Multi Scale ◽  
Short Term Load Forecasting

The Reasoned Action Model

2012 ◽  
Vol 640 (1) ◽  
pp. 58-80 ◽  
Author(s):  
James Jaccard
Keyword(s):  
Short Term Memory ◽  
Reasoned Action ◽  
Full Range ◽  
Explanatory Power ◽  
Future Research ◽  
Short Term ◽  
Individual Level ◽  
Reasoned Action Model ◽  
The Social ◽  
Action Model

The reasoned action model (RAM) of Fishbein and Ajzen has been highly influential in the social and health sciences. This article describes three areas for future research that should expand its explanatory power. One area of research focuses on an idiographic RAM that encourages researchers to pursue the estimation of RAM parameters on a per-individual level rather than through traditional nomothetic modeling. The second area encourages scientists to develop a split-second RAM, that is, a RAM that can provide perspectives on the split-second decisions people make in everyday life. Integration of the RAM with models of working (short-term) memory is stressed. The third area for research encourages scientists to develop a multioption RAM that incorporates and is responsive to the choices that people make when confronted with multiple alternatives. This perspective stresses the need to apply the RAM to the full range of behavioral options that are available to people as they contemplate performing one behavior versus another. Perspectives for theoretical advancement in each area are developed.

Sign in / Sign up

Export Citation Format

Share Document