The employees of baby boomers generation, Generation X, Generation Y and Generation Z in selected Czech corporations as conceivers of development and competitiveness in their corporation

The corporations using the varied workforce can supply a greater variety of solutions to problems in service, sourcing, and allocation of their resources. The current labor market mentions four generations that are living and working today: the Baby boomers generation, the Generation X, the Generation Y and the Generation Z. The differences between generations can affect the way corporations recruit and develop teams, deal with change, motivate, stimulate and manage employees, and boost productivity, competitiveness and service effectiveness. A corporation’s success and competitiveness depend on its ability to embrace diversity and realize the competitive advantages and benefits. The aim of this paper is to present the current generation of employees (the employees of Baby Boomers Generation, Generation X, Generation Y and Generation Z) in the labor market by secondary research and then to introduce the results of primary research that was implemented in selected corporations in the Czech Republic. The contribution presents a view of some of the results of quantitative and qualitative research conducted in selected corporations in the Czech Republic. These researches were conducted in 2015 on a sample of 3,364 respondents, and the results were analyzed. Two research hypotheses and one research question have been formulated. The verification or rejection of null research hypothesis was done through the statistical method of the Pearson’s Chi-square test. It was found that perception of the choice of superior from a particular generation does depend on the age of employees in selected corporations. It was also determined that there are statistically significant dependences between the preference for heterogeneous or homogeneous cooperation and the age of employees in selected corporations

How climate change affects extremes in maize and wheat yield in two cropping regions

Author Posting. © American Meteorological Society, 2015. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 28 (2015): 4653–4687, doi:10.1175/JCLI-D-13-00326.1.Downscaled climate model projections from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were used to force a dynamic vegetation agricultural model (Agro-IBIS) and simulate yield responses to historical climate and two future emissions scenarios for maize in the U.S. Midwest and wheat in southeastern Australia. In addition to mean changes in yield, the frequency of high- and low-yield years was related to changing local hydroclimatic conditions. Particular emphasis was on the seasonal cycle of climatic variables during extreme-yield years and links to crop growth. While historically high (low) yields in Iowa tend to occur during years with anomalous wet (dry) growing season, this is exacerbated in the future. By the end of the twenty-first century, the multimodel mean (MMM) of growing season temperatures in Iowa is projected to increase by more than 5°C, and maize yield is projected to decrease by 18%. For southeastern Australia, the frequency of low-yield years rises dramatically in the twenty-first century because of significant projected drying during the growing season. By the late twenty-first century, MMM growing season precipitation in southeastern Australia is projected to decrease by 15%, temperatures are projected to increase by 2.8°–4.5°C, and wheat yields are projected to decline by 70%. Results highlight the sensitivity of yield projections to the nature of hydroclimatic changes. Where future changes are uncertain, the sign of the yield change simulated by Agro-IBIS is uncertain as well. In contrast, broad agreement in projected drying over southern Australia across models is reflected in consistent yield decreases for the twenty-first century. Climatic changes of the order projected can be expected to pose serious challenges for continued staple grain production in some current centers of production, especially in marginal areas.This work was initiated at the Dissertations Initiative for the Advancement of Climate Change Research (DISCCRS) V Symposium, supported by the U.S. National Science Foundation through collaborative Grants SES-0932916 and SES-0931402. CCU was supported by a University of New South Wales Vice-Chancellor Fellowship and the Penzance Endowed Fund and John P. Chase Memorial Endowed Fund at WHOI. TET was supported by the U.S. Department of Energy Award DE-EE0004397. NC was funded by NSF Grant EAR-1204774. We are indebted to the FORMAS-funded Land Use Today and Tomorrow (LUsTT) project (Grant 211-2009-1682) for financial support

Incorporating climate change into systematic conservation planning

Abstract The principles of systematic conservation planning are now widely used by governments and non-government organizations alike to develop biodiversity conservation plans for countries, states, regions, and ecoregions. Many of the species and ecosystems these plans were designed to conserve are now being affected by climate change, and there is a critical need to incorporate new and complementary approaches into these plans that will aid species and ecosystems in adjusting to potential climate change impacts. We propose five approaches to climate change adaptation that can be integrated into existing or -012-0269-3 new biodiversity conservation plans: (1) conserving the geophysical stage, (2) protecting climatic refugia, (3) enhancing regional connectivity, (4) sustaining ecosystem process and function, and (5) capitalizing on opportunities emerging in response to climate change. We discuss both key assumptions behind each approach and the trade-offs involved in using the approach for conservation planning. We also summarize additional data beyond those typically used in systematic conservation plans required to implement these approaches. A major strength of these approaches is that they are largely robust to the uncertainty in how climate impacts may manifest in any given region. Conserv (2012) 21:1651-1671 DOI 10.1007/s1053

A capacity framework for strengthening science, education and practice of scaling innovation

This concept note is developed by the CGIAR Initiative for Diversification in East and Southern Africa (Ukama Ustawi). It highlights the significance of strengthening capacity in the science and practice of scaling innovation. The lack of a comprehensive and realistic understanding of innovation and scaling processes, coupled with limited scaling knowledge and capacity across individual, organizational and system levels hinder the effective scaling of innovations. Consequently, many promising initiatives fail to reach their full potential and address systemic issues at scale

Climate Change and Maize Yield in Iowa

<div><p>Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yield might change through the 21^st century as compared with late 20^th century yields across Iowa, USA, a region representing ideal climate and soils for maize production that contributes substantially to the global maize economy. To account for climate model uncertainty, we drive a dynamic ecosystem model with output from six climate models and two future climate forcing scenarios. Despite a wide range in the predicted amount of warming and change to summer precipitation, all simulations predict a decrease in maize yields from late 20^th century to middle and late 21^st century ranging from 15% to 50%. Linear regression of all models predicts a 6% state-averaged yield decrease for every 1°C increase in warm season average air temperature. When the influence of moisture stress on crop growth is removed from the model, yield decreases either remain the same or are reduced, depending on predicted changes in warm season precipitation. Our results suggest that even if maize were to receive all the water it needed, under the strongest climate forcing scenario yields will decline by 10–20% by the end of the 21^st century.</p></div

Landscape level planning in alluvial riparian floodplain ecosystems: Using geomorphic modeling to avoid conflicts between human infrastructure and habitat conservation

River channel movement processes necessary to maintain the natural heterogeneity in wildlife-dependent riparian ecosystems often conflict with the need to protect adjacent human infrastructure (e.g. towns, bridges, water pumps). This conflict can be avoided through long-term planning efforts which use process-based geomorphic simulation modeling to forecast potential long-term (&gt; 50 years) landscape-level effects of water management decisions on river meander migration. We describe two management conflicts from the Sacramento River, California, USA, and analyze alternative management scenarios using results from a meander migration and cutoff simulation model. The first example shows that the existing rock revetment upstream from Woodson Bridge State Recreation Area alters the river meandering and causes erosion problems. Removing the revetment would relocate the channel and create a natural meander-neck chute cutoff, reducing erosion at the park while providing ecosystem benefits. The second example suggests that although a bank revetment is needed to prevent the river from moving away from a major water pump, removing an upstream bank revetment would provide habitat benefits without causing pump facility problems. These examples demonstrate the benefits of taking a long-term, landscape-level view when implementing infrastructure projects in dynamic landscapes. (c) 2006 Elsevier B.V. All rights reserved

Adaptace marketingove strategie LGI pro český trh

The main goal of the thesis is to develop a specific proposition for adaptation of LGI Czechia's marketing strategy with respect to its current position on the Czech market. The first part of the thesis offers indispensable theoretical knowledge of marketing theory and financial analysis. These theoretical foundations are practically applied in the second part of the thesis, which begins with introduction of LGI Czechia, analysis of its marketing strategy and marketing environment as well as its internal predispositions. Based on particular findings the thesis summarizes key marketing areas suitable for improvement. Next part focuses on the adaptation of marketing strategy as it captures problematic areas and develops specific marketing solutions for improvement. Additionally the thesis also offers basic financial analysis of LGI Czechia in comparison with its competitor Kühne + Nagel

Simulated average maize growing period length averaged across all 72 grid cells in domain from each HISTORIC NONSTRESS run driven by the six GCMs and the change in number of days between HISTORIC and the MID21 and LATE21 NONSTRESS runs under both RCP scenarios.

<p>Simulated average maize growing period length averaged across all 72 grid cells in domain from each HISTORIC NONSTRESS run driven by the six GCMs and the change in number of days between HISTORIC and the MID21 and LATE21 NONSTRESS runs under both RCP scenarios.</p

Simulated average maize Yield Loss Index (YLI) averaged across all 72 grid cells in domain from each HISTORIC run driven by the six GCMs and the simulated experimental YLI under both RCP scenarios for the MID21 and LATE21 time periods.

<p>Simulated average maize Yield Loss Index (YLI) averaged across all 72 grid cells in domain from each HISTORIC run driven by the six GCMs and the simulated experimental YLI under both RCP scenarios for the MID21 and LATE21 time periods.</p