The majority of the worlds forests has undergone some form of management, such as clear-cut or thinning. This management has direct relevance for global climate: Studies estimate that forest management emissions add a third to those from deforestation, while enhanced productivity in managed forests increases the capacity of the terrestrial biosphere to act as a sink for carbon dioxide emissions. However, uncertainties in the assessment of these fluxes are large. Moreover, forests influence climate also by altering the energy and water balance of the land surface. In many regions of historical deforestation, such biogeophysical effects have substantially counteracted warming due to carbon dioxide emissions. However, the effect of management on biogeophysical effects is largely unknown beyond local case studies. While the effects of climate on forest productivity is well established in forestry models, the effects of forest management on climate is less understood. Closing this feedback cycle is crucial to understand the driving forces behind past climate changes to be able to predict future climate responses and thus the required effort to adapt to it or avert it. To investigate the role of forest management in the climate system I propose to integrate a forest management module into a comprehensive Earth system model. The resulting model will be able to simultaneously address both directions of the interactions between climate and the managed land surface. My proposed work includes model development and implementation for key forest management processes, determining the growth and stock of living biomass, soil carbon cycle, and biophysical land surface properties. With this unique tool I will be able to improve estimates of terrestrial carbon source and sink terms and to assess the susceptibility of past and future climate to combined carbon cycle and biophysical effects of forest management. Furthermore, representing feedbacks between forest management and climate in a global climate model could advance efforts to combat climate change. Changes in forest management are inevitable to adapt to future climate change. In this process, is it possible to identify win-win strategies for which local management changes do not only help adaptation, but at the same time mitigate global warming by presenting favorable effects on climate? The proposed work opens a range of long-term research paths, with the aim of strengthening the climate perspective in the economic considerations of forest management and helping to improve local decisionmaking with respect to adaptation and mitigation.
Especially during the last decades, the natural forests of Ethiopia have been heavily disturbed by human activities. Some forests have been totally cleared and converted into fields for agricultural use, other suffered from different influences, such as heavy grazing and selective logging. The ongoing research in the Shashemane-Munessa-study area (Gu 406/8-1,2) showed clearly that, in spite of interdiction and control, forests continue to be cleared and degraded. However, it is not yet sufficiently known, how and why these processes are still going on. Growing population pressure and economic constraints for the people living in and around the forests contribute to the actual situation but allow no final answers to the complex situation. Concerning a sustainable management of the forests there is to no solid basis for recommendations from the socioeconomic and socio-cultural view. Therefore, a comprehensive analysis of the traditional needs and forms of forest use, including all forest products, is necessary. The objective of this project is, to achieve this basis by carrying out intensive field observations, the consultation of aerial photographs, satellite imagery and above all semi-structured interviews with the population in the study area in order to contribute to the recommendations for a sustainable use of the Munessa Shasemane forests.
Deviant behaviour on various levels of the food supply chain may cause food risks. It entails irregular technological procedures which cause (increased probabilities of) adverse outcomes for buyers and consumers. Besides technological hazards and hitherto unknown health threats, moral hazard and malpractice in food businesses represent an additional source of risk which can be termed 'behavioural food risk'. From a regulatory perspective, adverse outcomes associated with deviance represent negative externalities that are caused by the breaking of rules designed to prevent them. From a rational choice perspective, the probability of malpractice increases with the benefits for its authors. It decreases with the probability of detection and resulting losses. It also decreases with bonds to social norms that protect producers from yielding to economic temptations. The design of mechanisms that reduce behavioural risks and prevent malpractice requires an understanding of why food businesses obey or do not obey the rules. This project aims to contribute to a better understanding of malpractice on the restaurant/retail level through comparative case studies and statistical analyses of food inspection and survey data. Accounting for the complexity of economic behaviour, we will not only look at economic incentives but consider all relevant behavioural determinants, including social context factors.
Research in 'silviculture' and 'forest economics' very often takes place largely independent from each other. While silviculture predominantly focuses on ecological aspects, forest eco-nomics is sometimes very theoretic. The applied bioeconomic models often lack biological realism. Investigating mixed forests this proposal tries to improve bioeconomic modelling and optimisation under uncertainty. The hypothesis is tested whether or not bioeconomic model-ling of interacting tree species and risk integration would implicitly lead to close-to-nature forestry. In a first part, economic consequences of interdependent tree species mixed at the stand level are modelled. This part is based on published literature, an improved model of timber quality and existing data on salvage harvests. A model of survival over age is then to be developed for mixed stands. A second section then builds upon data generated in part one and concentrates on the simultaneous optimisation of species proportions and harvest-ing ages. It starts with a mean-variance optimisation as a reference solution. The obtained results are compared with data from alternative approaches as stochastic dominance, down-side risk and information-gap robustness.
This project aims at analysing the influence of competing national and international bureaucracies on the fragmentation of the international forest regime complex (IFRC). Its objectives are: - describing the political dimension of fragmentation of the IFRC programme- explaining the political dimension of fragmentation based on the model of bureaucratic politics- analysing the steering consequences resulting from fragmentation - trans-disciplinary design of solutions for coping with political aspects of fragmentationBuilding on the bureaucratic politics approach these objectives will be pursued by testing the linking hypothesis: Interest and influence of the bureaucracies cause a fragmented programme of the IFRC. This programme supports the goal of profitable timber production but keeps the decision about biodiversity and CO2 sequestration open hindering the effective steering by the IFRC. The project develops an analytical framework consisting of the following independent variables: competing national and competing international bureaucracies, elected politicians, national and international non-state actors and media discourses. The fragmentation of the political programme of the IFRC is the overall dependent variable. This project will analyse the influence of bureaucracies and their coalitions on fragmentation at the international level as well as in national case studies in Sweden, Poland and Germany. The other independent variables will be covered by sub-projects 2, 3 and 4. The findings will be linked to the other political and to the economic and technic-ecological sub projects in order to contribute to the multi-disciplinary description and explanation of fragmentation and its steering consequences.
The rational calculus of farmers assumed in many agricultural economic models is unrealistic and non-predictive of their actual decision making. Understanding structural change in agriculture can thus be improved via a realistic modeling of the decision making by agricultural entrepreneurs. Specifically, slow disinvestment (i.e., postponing farm exit), persistence of market structures (i.e., failure to reallocate land plots towards higher efficiency), and more generally characterizing the decision making of farmers are crucial for a better understanding of structural change and policy advice. We apply economic experiments to better understand such disinvestment choices, land markets with economies of scale and private opportunity costs, different auction and bargaining forms to improve allocation efficiency of land markets, and to generally characterize the decision making of farmers.
The objective of the project Scientific technical support on assessment of nanomaterials in REACH registration dossiers and adequacy of available information ('NANO SUPPORT') is to evaluate how the risk and safety of nanomaterials have been assessed in selected REACH registration dossiers, and based on this, to develop a set of possible options for modifications to the current REACH provisions to better address nanomaterials. The results of the first tasks have already been published, in March 2012. The aim of the current work that forms the basis of this report has been to conduct an examination and assessment of the consequences for industry, consumers, human health and the environment if these options for modifications of REACH are implemented. Important elements of the applied methodology for this assessment include: - Development of a baseline scenario and investigation of the relevance of discussed options in close collaboration with a Project Steering Group. - Identification of suitable case studies and assessment of economic, health, environmental and societal impacts of all options for these case studies. For this purpose the project team gathered data from expert interviews, stakeholder responses, its own investigations and from literature. The methodology followed the EU Guidelines for Impact Assessments of 2009. A time frame of 10 years from the year 2012 to 2022 was considered and adopted. - Extrapolation of the case studies results in an estimation of the impacts of different options to the total 'market for nanomaterials'. This takes into account the future market structure and the different information requirements for the respective tonnage bands of the registered nanomaterials. In the course of this project it became apparent that only 9 of the 21 originally proposed modification options would be subject to the assessment. The other 12 options need to be regarded as already implicitly part of current REACH requirements, or are addressed by following the advice provided by experts of the European Chemicals Agency (ECHA), however, not representing an official ECHA position. The total costs for implementing the 9 options amount to between €11 million and €73 million as a cumulative effort for all concerned companies for a time period until 2022. The split of total costs on single options shows big differences between options with high or medium efforts, and hence high or medium costs, and options with no or very little additional costs.
Objective: The RAMSES project will develop a rigorous, analytical framework for the implementation of adaptation strategies and measures in EU and international cities. It will develop a set of innovative methods and tools that will quantify the impacts of climate change and the costs and benefits of adaptation to climate change and thus provide the evidence to enable policy makers to design adaptation strategies. It integrates the assessment of impacts and costs to provide a much more coherent approach than currently exists. As major centres of population, economic importance, greenhouse gas emissions and infrastructure, RAMSES focuses on adaptation issues in cities. RAMSES will deliver: 1. A strategic frame for evidence-based adaptation decision-making. A pragmatic and standardised framework for decision making using comparable climate change impact assumptions, impact and adaptation costs while taking account of uncertainty. This will apply and combine smart and unconventional scientific methodologies. 2. Multi-level analysis as local administrative units, cities will be used to develop adaptation (and more generally sustainable development) strategies from the bottom-up/top-down, that can be aggregated to consider costs at the national, EU and international levels. 3. Quantification of adaptation costs a framework for assessment of full economic costs and benefits of adaptation (to date a woefully under-researched area). 4. Policy relevance and acceptance of adaptation measures city case studies and stakeholder engagement will ensure the relevance of the framework for policy makers and ensure adaptation measures become better accepted by other stakeholders. The frameworks will be converted into a user-friendly guide for stakeholders who need to prioritize adaptation and mitigation decisions. This reduces costs and enhances understanding and acceptance of adaptation. The data will be fed into the European Clearinghouse Mechanism to increase transparency/stakeholder access.
OPTIBIOCAT is a 48 months project aimed at developing biocatalysts based on feruloyl esterases (FAEs) and glucuronoyl esterases (GEs) for production of phenolic fatty- and sugar- esters with antioxidant activity for cosmetic industry, expanding the number/type of industrial biotransformations. Selected FAEs and GEs available within the consortium will be improved for their thermo- and solvent- resistance and substrate specificity by site-directed mutagenesis and directed evolution. Novel enzymes will be discovered by mining for new genes from available genomes. An inventory of novel FAEs and GEs will be developed including 50 fungal and 500 bacterial esterases, 25 site-directed and 20 directed evolved mutants. Enzymatic performances will be optimized to enhance the yield (up to the theoretical yield of 100%) and productivity (up to 0.5-1 g/l/h) of reactions giving the main targeted antioxidants: butyl ferulate, p-coumarate, caffeate, sinapate and 5-O-(trans-feruloyl)-arabinofuranose (using FAEs), glucuronate and benzyl glucuronate (using GEs). FAEs and GEs will be also tested for production of other compounds with improved biological activity and properties of hydrophilicity/hydrophobicity for cosmetic applications. Cost-effective methods will be developed for production of the new biocatalysts, in the g/L scale, and for their technical application to produce antioxidants for cosmetic industry, up to 20L. Enzyme immobilization will increase their recyclability up to ten cycles. The ability of the developed catalysts to work in conditions miming the industrial ones with reduced use of solvents and lower temperature than the chemical routes will be demonstrated. The techno-economic viability and environmental friendliness will be assessed considering a full industrial scale scenario. OPTIBIOCAT involves a highly skilled and multidisciplinary partnership of 16 partners from 8 EU countries, and it is a strongly industry driven project through the participation of 8 SMEs and 1 large company.
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