Natural hazard events and social capital: the social impact of natural disasters

This study investigates if and to what extent natural disasters affect social capital. Twelve different events in Europe are examined in a quantitative analysis, using data derived from the European Social Survey and the EM‐DAT International Disaster Database. The study uses social trust as an indicator of social capital and offers evidence that a change in social trust is a possible occurrence during or after a disaster, but that it is not an inevitable consequence of it. The results reveal that social trust decreases after a disaster with a death toll of at least nine. Changes in social capital, therefore, are found to be more probable as the severity of the event increases. National, rather than regional, disasters lead more frequently to significant shifts in social trust. This evaluation of 12 separate cases pinpoints several disasters that have had an effect on social trust, but it does not identify any general patterns, underlining the significance of contextual dependency.     

Simulating soil organic matter with CQESTR (v. 2.0): Model description and validation against long-term experiments across North America

Soil carbon (C) models are important tools for examining complex interactions between climate, crop and soil management practices, and to evaluate the long-term effects of management practices on C-storage potential in soils. CQESTR is a process-based carbon balance model that relates crop residue additions and crop and soil management to soil organic matter (SOM) accretion or loss. This model was developed for national use in U.S and calibrated initially in the Pacific Northwest. Our objectives were: (i) to revise the model, making it more applicable for wider geographic areas including potential international application, by modifying the thermal effect and incorporating soil texture and drainage effects, and (ii) to recalibrate and validate it for an extended range of soil properties and climate conditions. The current version of CQESTR (v. 2.0) is presented with the algorithms necessary to simulate SOM at field scale. Input data for SOM calculation include crop rotation, aboveground and belowground biomass additions, tillage, weather, and the nitrogen content of crop residues and any organic amendments. The model was validated with long-term data from across North America. Regression analysis of 306 pairs of predicted and measured SOM data under diverse climate, soil texture and drainage classes, and agronomic practices at 13 agricultural sites having a range of SOM (7.3–57.9 g SOM kg⁻¹), resulted in a linear relationship with an r² of 0.95 (P < 0.0001) and a 95% confidence interval of 4.3 g SOM kg⁻¹. Using the same data the version 1.0 of CQESTR had an r² of 0.71 with a 95% confidence interval of 5.5 g SOM kg⁻¹. The model can be used as a tool to predict and evaluate SOM changes from various management practices and offers the potential to estimate C accretion required for C credits.     

Forging New Directions in Science and Environmental Politics and Policy: How Can Co-operation, Deliberation and Decision be Brought Together?

Science, politics and environmental policy have for several years been encountering social and institutional as well as scientific challenges, national and international. The normative basis of all sciences is pressurised from three sides: by awareness of the public, who claims more transparency and sensibility from the scientific institutions regarding factual or possible impacts of science-based industrial progress; by the industries, which try to speed up and intensify the industrialisation of knowledge; and by the public policies, which want to see the sciences engaged in ways to mitigate unintended consequences of economic, ecological and social developments. At the same time, environmental policy is undergoing a tremendous sea change both in conceptual and practical matters. Since the Brundtland Report in 1987 and accelerated after UNCED 1992, environmental policy has been struggling to become a groundbreaking new paradigm for the capacity of resolving social and political issues as well. Any successful attempt to alter traditional institutional and mental structures in policy-making toward sustainability presupposes a renewed association of co-operation, deliberation and decision making. Results from theory of democracy, studies in science and technology, and evaluation studies in environmental policy and politics can be utilised for this context.     

Electricity consumption: The growth pattern as an ecological indicator

Ecological problems are mainly caused by growth processes. The energy input is a key indicator for ecosystems. In this context, the use of the most valuable kind of energy is of special importance. Economic systems may be considered as special ecosystems. The most valuable kind of energy used in economic systems of industrialised countries is electricity. For some industrialised countries the growth pattern of electricity consumption and its relation to the gross domestic product is considered in this contribution. A linear relation between both indicators for about 3 decades after the Second World War and a coupling of these indicators starting at 1973 has been found. The aim of the contribution is to present this relation and to initiate a discussion about its reason and its interpretation.