Suchergebnisse

Intro -- Foreword -- Preface -- Prologue -- Contents -- About the Editors -- Contributors -- Part I: Climate Change: Introduction, Models, Scenarios, Impact, and Scientific Evidence -- 1 Introduction to Climate Change Mitigation and Adaptation -- Introduction -- Climate Change -- Most Recent IPCC Updates -- The Greenhouse Effect -- Anthropogenic Climate Change -- Effects of Climate Change -- Impact of Climate Change Mitigation Actions -- Climate Change Adaptation Versus Climate Change Mitigation -- Climate Change and the Public -- What´s Next? -- Motivation -- Why This Book Is Needed -- Audience of the Handbook -- Scope -- References -- 2 Global Climate Change and Greenhouse Gases Emissions in Terrestrial Ecosystems -- Introduction: Global Climate Change and Soil Greenhouse Gases Emissions -- Soil Greenhouse Gases Emissions -- Soil CO2 Emission -- Soil CH4 Emission -- Soil N2O Emission -- Measurement Methods of Soil Greenhouse Gases Emissions -- Soil Chamber Methods -- Closed Static Chamber -- Closed Dynamic Chamber -- Open Dynamic Chamber -- Micrometeorological Methods - Eddy Covariance Technique -- Advantages and Disadvantages of the Measurement Methods -- Research Approaches of Global Climate Change and Soil Greenhouse Gases Emissions: Laboratory Incubation, Field Experiment, Met... -- Laboratory Incubation -- Field Experiment -- Meta-Analysis -- Biogeochemical and Ecosystem Modeling -- The DNDC Model -- Dynamic Land Ecosystem Model (DLEM) -- Impacts of Global Climate Change on Soil Greenhouse Gases Emissions: Case Studies -- Laboratory Incubation and Field Experiment -- Laboratory Incubation -- Field Experiment -- Meta-Analysis -- Biogeochemical and Ecosystem Modeling -- Site and Stand Levels -- Regional and Global Scales -- Closing Remarks and Future Research -- Cross-References -- References.

The monotypic genus Pakistatyrus Hlaváč, 2006 of the tribe Tyrini (Staphylinidae: Pselaphinae) previously contained a single species described based on two museum specimens found in northern Pakistan. Here I describe P. inconspicuus sp. nov. from a high-altitude area of Tibet. This species differs from P. ater Hlaváč, 2006 in reddish-brown coloration of the body, simple male antennae and metatibiae, and a much broader median lobe of the aedeagus. Both known species are probably locally endemic and have limited dispersal abilities, suggested by their greatly reduced elytra and lack of functional wings. A record of a second species from Tibet, which is represented by a female, is given.

The genus Anaclasiger Raffray is redefined and its taxonomic placement briefly discussed, based on the discovery of a second species of the genus, A. zhudaiae sp. n., collected in association with the ant Prenolepis sphingthoraxa from South China. The new species is described and illustrated. An identification key to species of Anaclasiger is provided.

Perceived organizational performance (POP) is an important factor that influences employees' attitudes and behaviors such as retention and turnover, which in turn improve or impede organizational sustainability. The current study aims to identify interaction patterns of risk factors that differentiate public health and human services employees who perceived their agency performance as low. The 2018 Federal Employee Viewpoint Survey (FEVS), a nationally representative sample of U.S. federal government employees, was used for this study. The study included 43,029 federal employees (weighted n = 75,706) among 10 sub-agencies in the public health and human services sector. The machine-learning classification decision-tree modeling identified several tree-splitting variables and classified 33 subgroups of employees with 2 high-risk, 6 moderate-risk and 25 low-risk subgroups of POP. The important variables predicting POP included performance-oriented culture, organizational satisfaction, organizational procedural justice, task-oriented leadership, work security and safety, and employees' commitment to their agency, and important variables interacted with one another in predicting risks of POP. Complex interaction patterns in high- and moderate-risk subgroups, the importance of a machine-learning approach to sustainable human resource management in industry 4.0, and the limitations and future research are discussed.

Perceived organizational performance (POP) is an important factor that influences employees' attitudes and behaviors such as retention and turnover, which in turn improve or impede organizational sustainability. The current study aims to identify interaction patterns of risk factors that differentiate public health and human services employees who perceived their agency performance as low. The 2018 Federal Employee Viewpoint Survey (FEVS), a nationally representative sample of U.S. federal government employees, was used for this study. The study included 43,029 federal employees (weighted n = 75,706) among 10 sub-agencies in the public health and human services sector. The machine-learning classification decision-tree modeling identified several tree-splitting variables and classified 33 subgroups of employees with 2 high-risk, 6 moderate-risk and 25 low-risk subgroups of POP. The important variables predicting POP included performance-oriented culture, organizational satisfaction, organizational procedural justice, task-oriented leadership, work security and safety, and employees' commitment to their agency, and important variables interacted with one another in predicting risks of POP. Complex interaction patterns in high- and moderate-risk subgroups, the importance of a machine-learning approach to sustainable human resource management in industry 4.0, and the limitations and future research are discussed.