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9 results for “Economics of Environment”
User survey data of learning environment eTKMY3, Turku School of Economics, Finland.
<p>User survey data of learning environment (eTKMY3) of an introduction to statistics course, Turku School of Economics. </p> <p>Variables</p> <p>question_11_row_1 Starting eTKMY3 was difficult</p> <p>question_11_row_3 eTKMY3 is a successful system</p> <p>question_11_row_4 I can manage my studying and exercises easily</p> <p>question_11_row_5 Navigation was easy</p> <p>question_11_row_7 eTKMY3 was complex</p> <p>question_12_row_8 individual starting values of most exercises as a good way to promote independent working</p> <p>Observations: Students of Turku School of Economics taking the course "TKMY3 Introduction of Statistics", Spring 2024.</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
<p>1. The study of functional traits offers predictive power for community ecology. Particularly in cases where individual species are difficult to study, known properties of trait spectra, such as the leaf economics spectrum (LES), and trait-environment relationships can provide crucial generalizable information that can contribute to forecasts of distributional shifts in response to the abiotic effects of climate and land use changes.</p> <p>2. Vascular epiphytes have been proposed as indicators of environmental change, but we know little about the ecology of most species. Key functional trait assumptions are based on terrestrial plants; testing these in epiphytes verifies their universality and will inform applying functional traits in predicting epiphyte responses to climate and land use change.</p> <p>3. In this study, we use functional traits from 37 vascular epiphyte species from forests and shade coffee farms at two sites in northern Nicaragua. We compare correlations among traits and intraspecific trait variances with those of terrestrial plants and among epiphyte taxonomic groups. We also test trait responses to environmental differences between sites and land use types, and within zones of the tree.</p> <p>4. We find that epiphyte leaf traits fall toward the slower end of the LES, but with about one-third lower leaf nitrogen per change in specific leaf area (SLA) relative to terrestrial herbaceous plants. Bromeliads show less relationship between these traits than other epiphyte groups and also deviate in other trait interrelationships, suggesting unique leaf construction.</p> <p>5. Trait-environment relationships varied most strongly along vertical gradients within trees, but some traits, including SLA and carbon isotope ratio, also responded to land use and site differences.</p> <p>6. We present evidence that trait relationships established for terrestrial plants appear to translate to epiphytes, but identify some possible caveats. Strong trait response to vertical gradients within trees suggests that within-canopy shifts could provide resilience to climate and land use changes for some epiphyte species.</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
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Variations in leaf economics spectrum traits for an evergreen coniferous species: Tree size dominates over environment factors
<ol> <li>Many leaf traits strongly vary with tree size and environmental factors, but the importance of these factors to intraspecific variations of leaf traits in forest trees have rarely been <a><span>simultaneously</span></a> evaluated.</li> <li>We measured needle longevity and specific leaf area (SLA) and nitrogen (N) content of every needle age (0 to 4 year old) for 65 individuals with 0.3-100 cm diameter at breast height (DBH) for an evergreen coniferous species, <i>Pinus koraiensis</i> Sieb. et Zucc., in Northeast China. We <a><span>simultaneously</span></a> evaluated effects of tree size (DBH or tree height) and environment factors (light intensity, soil N content and water availability) on the needle longevity, SLA, foliage N content as well as the slopes of regressions of SLA and foliage N content against needle age.</li> <li>All of the studied leaf traits and slopes of regressions of SLA and foliage N content against needle age were significantly related to tree size. Tree height had a greater impact on SLA and area-based leaf N content (N<sub>area</sub>), whereas DBH was more important for needle longevity and mass-based leaf N content (N<sub>mass</sub>). The environment variables, light intensity, soil N content and water availability, were rather minor factors for trait variations compared with tree size. Significant influences of light intensity were found only on needle longevity, and soil N and water availability had no effects on the leaf traits.</li> <li>Our study clearly showed that tree size is an important driver of intraspecific variations in the key leaf traits of <i>Pinus koraiensis</i> in a natural forest. We also emphasize the importance of DBH or tree height varies depending on leaf traits, suggesting various mechanisms of size effects on the intraspecific variations in leaf traits. We suggest that ecological significance of leaf trait variations needs reconsideration incorporating tree size effect.</li> </ol>
Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment
<p>The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at <a href="https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY">https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY</a>. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed. </p> <p>The study reported in this paper employed the mixed methods approach comprising a quantitative and qualitative analysis. The quantitative and econometric analysis of the dependent variable, namely, the final marks for the research report and the independent variables that explain it. The results show significance in terms of the assignments and existing knowledge marks in terms of their bachelor's average mark. We extended the analysis to a qualitative and quantitative survey, which indicated that the mean statistical feedback was above average and therefore strongly agreed/agreed except for library use by the student. Students, therefore, need more guidance in terms of library use and the open questions showed a need for a research methods course in the future. Furthermore, supervision tends to be a significant determinant in all cases. It is also here where supervisors can use social media instruments such as WhatsApp and Facebook to inform students further. This study contributes as the first to investigate the preparation and research skills of students for master's and doctoral studies during the COVID-19 pandemic in an online environment.</p>
Clinical Effectiveness and Economical Impact of Medical Indoor Environment Counselors Visiting Homes of Asthma Patients
ClinicalTrials.gov study NCT02212483. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Variations in leaf economics spectrum traits for an evergreen coniferous species: Tree size dominates over environment factors
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Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment
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Data from: A hyper arid environment shapes an inverse pattern of the fast–slow plant economics spectrum for above-, but not belowground resource acquisition strategies
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.