Consideration is given to uncertainties related to methods for assessing the above and belowground phytomass and primary production of forest stands in test plots, as well as for extrapolating the results to forested areas. 相似文献
The importance of team mental models (TMMs) - team members’ shared and organized understanding of relevant knowledge - for teamwork and team-performance, particularly in high-risk industries, has been recognized for almost two decades. In healthcare, however, systematic investigations on the influence of TMM on teamwork and team-performance had yet to be conducted at the time of this review, despite many authors considering the concept to be useful for medical teams. The lack of measurement procedures appropriate for settings as complex and dynamic as, for example, the operating room, represents a major obstacle for empirical research in healthcare. We systematically reviewed empirical studies on TMMs aiming to identify methods that could be applied in healthcare. In particular, we analyzed the methods used, and situations in which TMMs have been investigated. The reviewed studies were sorted according to task and team characteristics. We discuss the results of this review with regard to characteristics of healthcare teams including anaesthesia teams and teams of ward nurses. Each of these examples represents a distinct teamwork setting (e.g. long- vs. short-lived teams) and hence requires a different approach to TMM measurement (e.g. focus on task-model vs. focus on team-model). Implications for study design, feasible measurement approaches, and questions for future research on TMMs in healthcare are discussed. In sum, our findings highlight the possible significance of TMM research in healthcare and its potential benefits for team-performance and, ultimately, patient safety. 相似文献
The conception, design, and implementation of sustainable development strategies in an organization aims at meeting and balancing economic, social, and environmental needs of internal and external stakeholders. While the principles and fundamentals of sustainability assist during the conception and design phases, the implementation process of management strategies – impacted directly or indirectly by internal and external factors – may identify areas of competitive advantages or challenges that would impede the projects and organizations’ performance targets. An organization is not an isolated entity and its performance is often compared against others in the market arena; therefore, assessment tools, benchmarking processes, and reporting strategies become essential for the understanding of the efforts made towards the implementation of plan, policies, and programs at the organization and project levels. A framework for a hybrid process-criterion benchmarking methodology is proposed in this paper. The framework integrates the Rank Xerox benchmarking process and the Wa-Pa-Su project sustainability rating system assessment methodology. The proposed hybrid process-criterion benchmarking methodology encourages the diversification in the development and implementation of sustainable and environmental rating systems in industry contexts (e.g., oil and gas, mining, heavy industrial, and energy) and aims for the improvement of existing sustainability performance assessment and reporting practices. It also assists the quantitative assessment process of advances and/or setbacks in sustainability performance and the implementation of continuous performance improvement programs. 相似文献
The dynamics of agricultural and forestry biomass are highly sensitive to climate change, particularly in high latitude regions. Heilongjiang Province was selected as research area in North-east China. We explored the trend of regional climate warming and distribution feature of biomass resources, and then analyzed on the spatial relationship between climate factors and biomass resources. Net primary productivity (NPP) is one of the key indicators of vegetation productivity, and was simulated as base data to calculate the distribution of agricultural and forestry biomass. The results show that temperatures rose by up to 0.37°C/10a from 1961 to 2013. Spatially, the variation of agricultural biomass per unit area changed from -1.93 to 5.85 t·km–2·a–1 during 2000–2013. More than 85% of farmland areas showed a positive relationship between agricultural biomass and precipitation. The results suggest that precipitation exerts an overwhelming climate influence on agricultural biomass. The mean density of forestry biomass varied from 10 to 30 t·km–2. Temperature had a significant negative effect on forestry biomass in Lesser Khingan and northern Changbai Mountain, because increased temperature leads to decreased Rubisco activity and increased respiration in these areas. Precipitation had a significant positive relationship with forestry biomass in south-western Changbai Mountain, because this area had a warmer climate and stress from insufficient precipitation may induce xylem cavitation. Understanding the effects of climate factors on regional biomass resources is of great significance in improving environmental management and promoting sustainable development of further biomass resource use.
Chemical hydrography, nutrients and trace metals in water, sediments and marine organisms were studied in the Bay of Mali Ston and their role in terms of pollution discussed. Results show that the entire study area is very strongly affected by the adjacent land. The overall area is well aerated so that no dangerous accumulation of nutrients with oxygen content reduction was recorded. Results of analyses of trace metals show that the water and sediments of the bay contain high levels of some metals significantly higher than those from the open sea. This may be attributed to the natural sedimentation processes and the Neretva River and submarine spring runoffs carrying constituents of ignous and limestone rocks. 相似文献
This study investigated two digestion methods (USEPA 3051: microwave, HNO3 or Hossner: hot plate, HF–H2SO4–HClO4) for heavy metals analysis in contaminated soil surrounding Mahad AD'Dahab mine, Saudi Arabia. Moreover, contamination metal levels were estimated. The Hossner and USEPA 3051 methods showed, respectively, average total contents of 17.2 and 18.1 mg kg?1 for Cd, 11.6 and 10.6 mg kg?1 for Co, 45.7 and 34.7 mg kg?1 for Cr, 1030 and 1100 mg kg?1 for Cu, 33,300 and 27,400 mg kg?1 for Fe, 963 and 872 mg kg?1 for Mn, 33.2 and 22.8 mg kg?1 for Ni, 791 and 782 mg kg?1for Pb, and 6320 and 2870 mg kg?1 for Zn. A lack of significant differences and a high correlation coefficient (>90%) for Cd, Pb and Cu between the two digestion methods suggest that the total-recoverable method (USEPA 3051) may be equivalent to the total-total digestion method (Hossner) for determining these metals in the studied soil. However, significantly higher concentrations of Cr, Fe, Ni and Zn were found by the Hossner method comapred with the USEPA 3051 method. The soil samples have very or extremely high levels of Zn, Cu, Cd and Pb contamination, indicating very high potential ecological risk. 相似文献
We develop regional-scale eutrophication models for lakes, ponds, and reservoirs to investigate the link between nutrients and chlorophyll-a. The Bayesian TREED (BTREED) model approach allows association of multiple environmental stressors with biological responses, and quantification of uncertainty sources in the empirical water quality model. Nutrient data for lakes, ponds, and reservoirs across the United States were obtained from the Environmental Protection Agency (EPA) National Nutrient Criteria Database. The nutrient data consist of measurements for both stressor variables (such as total nitrogen and total phosphorus), and response variables (such as chlorophyll-a), used in the BTREED model. Markov chain Monte Carlo (McMC) posterior exploration guides a stochastic search through a rich suite of candidate trees toward models that better fit the data. The Bayes factor provides a goodness of fit criterion for comparison of resultant models. We randomly split the data into training and test sets; the training data were used in model estimation, and the test data were used to evaluate out-of-sample predictive performance of the model. An average relative efficiency of 1.02 between the training and test data for the four highest log-likelihood models suggests good out-of-sample predictive performance. Reduced model uncertainty relative to over-parameterized alternative models makes the BTREED models useful for nutrient criteria development, providing the link between nutrient stressors and meaningful eutrophication response. 相似文献
We provide first evidence of a link from daily air pollution exposure to sleep loss in a panel of Chinese cities. We develop a social media-based, city-level metric for sleeplessness, and bolster causal claims by instrumenting for pollution with plausibly exogenous variations in wind patterns. Estimates of effect sizes are substantial and robust. In our preferred specification a one standard deviation increase in AQI causes an 11.6% increase in sleeplessness, and for PM2.5 is 12.8%. The results sustain qualitatively under OLS estimation but are attenuated. The analysis provides a previously unaccounted for benefit of more stringent air quality regulation. It also offers a candidate mechanism in support of recent research that links daily air quality to diminished workplace productivity, cognitive performance, school absence, traffic accidents, and other detrimental outcomes. 相似文献