ZALF is a national research facility dedicated to the integrated system analysis of agricultural landscapes for sustainable management of land and water, conservation of natural resources, and sustainable development of rural areas. ‘Landscape Functioning’, ‘Landscape Change’ and ‘Landscape Conflicts and Management’ connected to agricultural land use are the key topics of ZALF´s integrated research. Within the Institute of Socio-Economics, the research area “Governance of Ecosystem Services and Rural Development” deals with drivers of land use change and resulting conflicts in land use and related functions and services. The research focuses on policy support, particularly the evaluation of the effectiveness and efficiency of instruments for controlling sustainable landscape use and rural development. Methods for the ex-ante assessment as well as ex-post analysis of the joint provision of ecosystem services, participatory approaches, as well as tool development belong to the key profile. A main interest lies in identifying determinants for spatial and target group related behavioral patterns in this context.
Dr. Ingo Zasada, email: ingo.zasada@zalf.de
Dr. Ingo Zasada, awarded Post-doc researcher, has a background in urban and regional planning (TU Berlin) and holds a PhD in agricultural sciences from the TU Munich. His expertise includes urban-rural interactions, policy mechanisms and analytical approaches for the assessment andevaluation of ecosystem services.
Dr. Annette Piorr, email: apiorr@zalf.de
Dr. Annette Piorr is senior scientist and holds a PhD in agricultural sciences. She co-leads the research area „Governance of Ecosystem Services and Rural Development“. Her work is dedicated to cause-effect relationships between land-use change and rural development. …………………………………………………………..
Meike Weltin, email: Meike.Weltin@zalf.de
Meike Weltin holds a Master degree in Agricultural Economics at Humboldt University. She is PhD student at ZALF and focuses on farmers’ adjustment and restructuring strategies and path dependence in their decision making applying mainly quantitative modeling approaches.