|
Sinabell, F., Kappert, R., Kaul, H. - P., Kratena, K., & Sommer, M. (2015). Maisanbau in Österreich. Ökonomische Bedeutung und pflanzenbauliche Herausforderungen.
|
|
|
König, H. J., Helming, K., Seddaiu, G., Kipling, R., Köchy, M., Graversgaard, M., et al. Stakeholder participation in agricultural research: Who should be involved, why, and how?.
Abstract: Research in sustainable agricultural management requires appropriate participatory processes and tools enabling efficient dialogue and cooperation to allow researchers and stakeholders to co-produce knowledge. Research approaches that encourage stakeholder participation are in high demand because they allow a better understanding of human-nature interactions and interdependencies between actors. Participatory approaches also support multiple goals of agricultural management: improved productivity, food security, climate change adaptation, environmental conservation, rural development and policy decision making. Approaches to stakeholder engagement in the field of agricultural management research are manifold. Therefore, selecting the “right” approach depends on the specific purpose and contextualized issues at stake. We analyzed ten stakeholder approaches and propose a new framework with which to identify and select appropriate approaches for stakeholder engagement. The framework consists of three components: whom to engage (i.e., stakeholder type and mandate), why to engage (i.e., research purpose: consult, inform, collaborate), and how to engage (i.e., different methodological approaches). We identified different stakeholder groups (who?): farmers, agricultural actors, land users, and policymakers; different purposes (why?): facilitate engagement process, inform stakeholders, and obtain stakeholder perceptions; and different types of engagement methods (how?): participatory field experiments, desk simulations, interviews, panel discussions and different types of workshops. The framework was applied to arrange these approaches, organize them to improve understanding of their main strengths, weaknesses and supports for identifying and selecting an appropriate approach. We conclude that understanding the different facets of available approaches is crucial for selecting an appropriate stakeholder engagement approach. ;
|
|
|
Klatt, S., Kraus, D., Rahn, K. - H., Werner, C., Kiese, R., Butterbach-Bahl, K., et al. (2014). Parameter-induced uncertainty quantification of a regional N2O and NO3 inventory using the biogeochemical model LandscapeDNDC.
|
|
|
Fodor, N., Foskolos, A., Topp, C. F. E., Moorby, J., Pásztor, L., & Foyer, C. Spatially explicit estimation of heat stress related impact of climate change onthe milk production of dairy cows in the United Kingdom. Environmental Research Letters.
|
|
|
Montesino-San Martin, M., Wallach, D., Olesen, J. E., & Porter, J. R. Quantifying data requirements in crop models; applying the learning curve approach to winter wheat phenology models.
|
|