INKA BB sees itself as an innovation network encompassing academia and business practice that brings about change proactively. As a role model and partner, the network wishes to disseminate findings and initiate learning processes. To achieve this, we combine the region’s existing expertise of research institutions, public administrations, business enterprises and associations. The network operates in Brandenburg with a federal state-wide focus. Most site- and company-related measures are undertaken in the regions of Lausitz-Spreewald and Uckermark-Barnim, as well as in the metropolis of Berlin.
“Adaptation to climate change” as a new field of knowledge challenges agricultural and horticultural (vocational) education and extension. Farmers and horticulturists are confronted with vague scientific findings at best. A broad variety of global climate scenarios is “projected” onto regions and exact predictions are usually not possible. Often, personal observations and experiences seem to contradict scientific assertions. Under this condition farmers and policy makers must decide about future land use.
What does this imply for capacity building? How to transform insecurity into concrete educational measures and programs?
The authors discuss their first experiences within a German R&D network (INKA BB) in which they develop capacity building programs. Two examples from urban agriculture / urban gardening will be used as case studies. Strengths and weaknesses of the development processes and their management will be discussed.
Since the topic is complex and adaptation is a continuous activity, learning in connection with climate change adaptation ideally begins on elementary level, continues in higher and vocational training, and does not end with extension. In other words: “learning chains” must be developed which enable life-long learning in formal, non-formal and informal learning environments.
Competencies are needed beyond classical technological and economic skills. Problem solving - from problem perception, analysis, generation of alternative solutions, to implementation and evaluation - with a key competence in critical analysis and reflection of contemporary research findings - gain in importance.
In INKA BB, participation is seen as axiomatic. As a consequence, an action-oriented, participatory approach has been chosen which enables mutual learning among partners from research, formal and informal, elementary, higher and vocational education.
A crucial point is the question of “Who could be the bridge between science and the educational practitioner?” In INKA BB, a specific working group (the subproject on “Knowledge Management and Transfer”) facilitates the development processes and therefore plays a liaison role between theory and practice. In the long-run, sustainable ownership of this process must be achieved. A combination of network building, mutual learning in permanent work groups, provision of technical trainings, and joint planning, testing, monitoring and evaluation is seen as a precondition.
Based on concepts for innovation processes and co-production of knowledge, approaches are investigated that address the urgent and complex problems related to climate change, because especially the participation of, and close collaboration with, practice partners is needed. The paper presents the agricultural knowledge management approach in the organic agriculture module of the R&D project INKA BB (Innovation Network for Climate Change Adaptation Brandenburg Berlin) in north-eastern Germany (Knierim et al. 2009). The methodology for the science-practice collaboration follows an action research approach that supports the communication and cooperation of researchers and practitioners. The framework is the action research cycle with iterative stages of planning, action, and reflection. The organic agriculture module, which addresses individual research questions on several farms, is presented as a good practice example for close transdisciplinary network cooperation. The workshop contribution will provide reflections on the innovation development process over two project years.
Abstract
Water management and environmental protection is vulnerable to extreme low flows during streamflow droughts. During the last decades, in most rivers of Central Europe summer runoff and low flows have decreased. Discharge projections agree that future decrease in runoff is likely for catchments in Brandenburg, Germany. Depending on the first-order controls on low flows, different adaption measures are expected to be appropriate. Small catchments were analyzed because they are expected to be more vulnerable to a changing climate than larger rivers. They are mainly headwater catchments with smaller ground water storage. Local characteristics are more important at this scale and can increase vulnerability.
This thesis mutually evaluates potential adaption measures to sustain minimum runoff in small catchments of Brandenburg, Germany, and similarities of these catchments regarding low flows. The following guiding questions are addressed: (i) Which first-order controls on low flows and related time scales exist? (ii) Which are the differences between small catchments regarding low flow vulnerability? (iii) Which adaption measures to sustain minimum runoff in small catchments of Brandenburg are appropriate considering regional low flow patterns?
Potential adaption measures to sustain minimum runoff during periods of low flows can be classified into three categories: (i) increase of groundwater recharge and subsequent baseflow by land use change, land management and artificial ground water recharge, (ii) increase of water storage with regulated outflow by reservoirs, lakes and wetland water management and (iii) regional low flow patterns have to be considered during planning of measures with multiple purposes (urban water management, waste water recycling and inter-basin water transfer). The question remained whether water management of areas with shallow groundwater tables can efficiently sustain minimum runoff. Exemplary, water management scenarios of a ditch irrigated area were evaluated using the model Hydrus-2D. Increasing antecedent water levels and stopping ditch irrigation during periods of low flows increased fluxes from the pasture to the stream, but storage was depleted faster during the summer months due to higher evapotranspiration. Fluxes from this approx. 1 km long pasture with an area of approx. 13 ha ranged from 0.3 to 0.7 ls-1 depending on scenario. This demonstrates that numerous of such small decentralized measures are necessary to sustain minimum runoff in meso-scale catchments.
Differences in the low flow risk of catchments and meteorological low flow predictors were analyzed. A principal component analysis was applied on daily discharge of 37 catchments between 1991 and 2006. Flows decreased more in Southeast Brandenburg according to meteorological forcing. Low flow risk was highest in a region east of Berlin because of intersection of a more continental climate and the specific geohydrology. In these catchments, flows decreased faster during summer and the low flow period was prolonged. A non-linear support vector machine regression was applied to iteratively select meteorological predictors for annual 30-day minimum runoff in 16 catchments between 1965 and 2006. The potential evapotranspiration sum of the previous 48 months was the most important predictor (r2 = 0.28). The potential evapotranspiration of the previous 3 months and the precipitation of the previous 3 months and last year increased model performance (r2 = 0.49, including all four predictors). Model performance was higher for catchments with low yield and more damped runoff. In catchments with high low flow risk, explanatory power of long term potential evapotranspiration was high.
Catchments with a high low flow risk as well as catchments with a considerable decrease in flows in southeast Brandenburg have the highest demand for adaption. Measures increasing groundwater recharge are to be preferred. Catchments with high low flow risk showed relatively deep and decreasing groundwater heads allowing increased groundwater recharge at recharge areas with higher altitude away from the streams. Low flows are expected to stay low or decrease even further because long term potential evapotranspiration was the most important low flow predictor and is projected to increase during climate change. Differences in low flow risk and runoff dynamics between catchments have to be considered for management and planning of measures which do not only have the task to sustain minimum runoff.