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.
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.
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.
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.
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.
The Eastern Plains region of Colombia is a large tract of tropical savannah covering approximately 17Prozent of the Colombian land mass. It is an agriculturally poor region where current agricultural practices of cattle ranching have rapidly lead to poor soil fertility and low productivity. In Colombia, agriculture represents a very important part of the economy. In an attempt to economically stabilize the region the government has developed a regional plan for the Eastern Plains. This includes converting pasture land into cropping systems that provide food security for the growing Colombian population and reducing poverty.Cassava is the key crop in the regional plan for economic development and stability. However, cassava is a plant that is almost completely dependent on a symbiosis with arbuscular mycorrhizal fungi (AMF) to efficiently obtain nutrients and grow. AMF have already been shown to greatly enhance cassava yields in the field, even when added to soil that already contains AMF. They also allow farmers to reduce fertilizer inputs and use much cheaper sources of phosphate. However, to realistically use AMF to increase cassava yields and make cassava cropping more profitable, it is necessary to inoculate with native AMF in a sterile based carrier, with low transport costs. This project seeks to isolate native AMF from soils in the eastern plains and from the roots of cassava in native undisturbed populations, screen them for effectiveness in increasing cassava yields and then put some of the most effective ones into a clean sterile culture system on artificial media for mass production. These AMF isolates will be used as inocula in field trials. Because cassava is so mycorrhiza-dependent, we also propose to screen the genetic diversity of cassava for mycorrhizal responsiveness. The Swiss group will use their expertise in molecular genetics of AMF to develop a molecular marker system for quality control of AMF inoculum in cassava roots and perform a pilot AMF breeding approach to cross AMF and obtain genetically novel AMF for use in the field. The Swiss partner will train the Colombian group in these technologies. The results of the project will be disseminated within the framework of the socio-economic plan for the region developed by the National University of Colombia's Institute for Studies in Orinoquia. Researchers in that institute will use the results of this project to make economic projections of the impact of the results on small farms and cooperatives in the Eastern Plains and at the whole regional level. They will then accordingly disseminate the information to agronomists, farmers and land-owners in the region.
The background of the presented research effort is the fact that on one hand increased biomass production is required not only for alimentation purposes but also for the substitution of fossil and nuclear fuels and PVC plastics, and that on the other hand soil is scarce and increased bioenergy production should not reduce food and feedstock production and has to be sustainable, preserving soil and contributing to climate change mitigation. The project consortium has identified unused potentials within the crop rotation schemes and in perennial grassrland in many European regions. A quantitative analysis of unused crop potentials stemming from incomplete crop rotation in Europe as well as of unused yield potentials of perennial grasslands will be the first step. The analysis will be based on CORINE data and will cover all Euopean agricultural regions. Subsequently, identified hot spots with high potential for additional crops will be mapped. Additional crops will be taken into account to the extent that they can be produced without reducing existing food and feedstock crops, if they can be produced without ecologically harmful additional irrigation and mineral fertilization measures, and if they allow also sufficient economic yields. Such additional crops will be seen as potential raw material for bioenergy production. In most cases, these crops will be species mixtures with short cultivation periods (2-4 months within the vegetation period plus eventually winter). If used for biogas production or green bio-refinery proceeding, economically feasible and ecologically sound production will require de-centralized bio-energy production including the use of digestate for soil fertilization. Existing bioenergy plants fed with maize silage can be supplied by cover crop silage, instead, thus allowing additional food production and unbundling of existing food-fuel competition. Consequences of such altered land-use solutions on nutrient circulation and on climate shall be assessed in a special work-package. One work package will be devoted to practical demonstration and result validation. Three case-studies will be undertaken - one in alpine or boreal grassland, one in the corn cultivation belt for cover crops following wheat or rye in fall, and one for mediterranean agricultural systems. Demonstration sites will be selected, land management costs and yields per hectare will be monitored, nitrogen balances will be set up. Consequences of all-year soil coverage on soil will be assessed in these demo areas for different crop mixtures cultivated in different ways (different timing, sowing, harvesting and fertilizing). Capitalization of research findings will build on a mixture of publication activities in referenced and expert journals, in conference presentations and networking activities. The European seed production research network EUCARPIA will play an active role in this task. The novel aspect is the targeted use of catch crops and cover crops for energy
Fruit tree cultivation is a suitable option for erosion control in mountainous regions of Southeast Asia. However, seasonal overproduction and insufficient access to markets can cause economic losses. The possibility of processing fruits locally could contribute considerably to increase and stabilize farm income. Currently, fruit drying methods in these areas are yielding products of inferior quality. Pre-treatments such as sulphurizing are commonly used, but can make the product undesirable for international markets. In addition, high energy requirements increase production costs significantly. Therefore, the objective of subproject E1.2 is to optimize the drying process of small-scale fruit processing industries in terms of dryer capacity, energy consumption and efficiency and end product quality. During SFB-phase II in E1.1, drying fundamentals for the key fruits mango, litchi and longan were established. In laboratory experiments, impacts of drying parameters on quality were investigated and numerical single-layer models for simulation of drying kinetics have been designed. In SFB-phase III this knowledge will be expanded with the aim of optimizing practical drying processes. Therefore, the single-layer models will be extended to multi-layer models for simulating bulk-drying conditions. The Finite Element Method (FEM) will be adapted to calculate heat and mass transfer processes. Thermodynamic behavior of batch and tray dryers will be simulated using Computational Fluid Dynamics (CFD) software. Drying facilities will be optimized by systematic parameter variation. For reduction of energy costs, the potential of solar energy and biomass will be investigated in particular. Further research approaches are resulting from cooperation with other subprojects. A mechanic-enzymatic peeling method will be jointly used with E2.3 for studying the drying behavior of peeled litchi and longan fruits. Furthermore, a fruit maturity sensor based on Acoustic Resonance Spectroscopy (ARS) will be developed in cooperation with E2.3 and B3.2. Finally, an internet platform will be built for exchange of farmer-processor information about harvest time and quantities to increase utilization of the processing facilities.
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