Dr. Aenis erforscht, wie Landwirtschaft und ländliche Gemeinschaften sich an den Klimawandel anpassen können – mit Fokus auf die Verbindung von wissenschaftlichen Erkenntnissen mit praktischem Handeln vor Ort. Seine aktuelle Arbeit konzentriert sich darauf, wie Bauern Entscheidungen unter Klimastress treffen, wie nachhaltige Anbaumethoden (etwa Konservierende Landwirtschaft) in verschiedenen Regionen umgesetzt werden, und wie man Interessengruppen (Bauern, Behörden, Wissenschaftler) effektiv in Planungsprozesse einbindet. Für Unternehmen und öffentliche Institutionen bietet er Methoden zur Analyse von Klimavulnerabilität, zur Stakeholder-Beteiligung und zur Gestaltung von Bildungsprogrammen für klimagerechte Landnutzung – besonders relevant für Agrar- und Entwicklungsprojekte in Südasien, Südostasien und China sowie für urbane Grünflächenentwicklung in Deutschland.
🔒 Das System hat 492 mögliche Industrie-Partner gefunden — Firmen, Scores und Begründungen sind nur für eingeloggte Nutzer:innen sichtbar. Anmelden
Dr. rer. agr. Thomas Aenis
HU-FIS-Profil ↗SOS_Uplands: Sichere Handlungsspielräume im Südostasiatischen Hochland. Teilprojekt „Transdisziplinäre Prozesse“
university
SOS_Uplands: Sichere Handlungsspielräume im Südostasiatischen Hochland. Teilprojekt „Transdisziplinäre Prozesse“
university
Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 06/2017 - 05/2018 Projektleitung: Prof. Dr. Klaus Müller, Dr. rer. agr. Thomas Aenis
Förderer: Bundesministerium für Umwelt, Klimaschutz, Naturschutz und nukleare Sicherheit Zeitraum: 11/2017 - 12/2019 Projektleitung: Dr. rer. agr. Thomas Aenis, Prof. Dr. Klaus Müller
Förderer: Bundesministerium für Umwelt, Klimaschutz, Naturschutz und nukleare Sicherheit Zeitraum: 12/2017 - 12/2020 Projektleitung: Dr. rer. agr. Thomas Aenis, Prof. Dr. Klaus Müller
Journal of Environmental Management · DOI
Land management includes the actions of different stakeholder groups at different scales, from local measures to regional land use strategies to land use policies. For sustainable land management (SLM), particularly in its planning stage, it is essential to know stakeholders and, ideally, to involve them in decision-making, or at least to understand a given situation from their perspective in an attempt to target their problems and interests in solution development. Although stakeholder analysis (SA) has been adopted in various projects with the aim of grasping stakeholders' perceptions and encouraging their deeper involvement in land management, the "how to" remains unclear. Current guidelines for SA remain vague and fail to lead practical application. One reason is the complexity of land use itself. SA is case specific for each project and requires highly flexible project management that adjusts methods and instruments according to given conditions. This article provides a practical example and discusses experiences from a sustainable rubber management project in Southwest China. This case study shows how, to a certain extent, "usage-oriented" SA can support joint decision making in SLM. With a more general aim, we reflect on the process and its management. As a result, we identify some core management issues: the heterogeneity of stakeholder groups with their multiple interests, stakeholders' involvement in decision making, the necessity of iteration, and adjustments with respect to cultural context.
Sustainability · DOI
India ranks first among the rainfed agricultural countries in the world. The impact of changing climate threatens rainfed food production as well as the food security of millions of people in the tropics and subtropics. The Government of India initiated Watershed Development Programmes (WDPs) for the overall development of these areas. We, therefore, established a comprehensive, location-specific, bottom-up tool to analyse and compare the climate vulnerability of watershed areas. For this, we deducted a new Climate Vulnerability Index for Rainfed Tropics (CVIRFT) to evaluate the potential effectiveness of programmes to adapt to climate change impacts. The CVIRFT comprises of three dimensions of vulnerability, i.e., adaptive capacity, exposure and sensitivity. These dimensions consist of ten major components and 59 indicators with emphasis on rainfed farming and WDP interventions. To test the tool, we collected primary data through household surveys (n = 215, split among three watershed communities) in Kerala. We show that there were strong variations in the exposure dimension, moderate in sensitivity and negligible in adaptive capacity across the watersheds. After analysing the major components under the dimensions, we suggest focusing on policy orientation towards redesigning of the WDPs with emphasis to economic diversification, livelihood strategies, social networking coupled with stakeholder participation, natural resource management and risk spread through credit and insurance flexibility. The CVIRFT is replicable to similar physio-geographic areas of rainfed farming, with the refinement of indicators suited to the locality.
Climate Change Responses · DOI
This paper presents a detailed analysis of a composite Climate Vulnerability Index (CVI) to examine and compare climate change vulnerability and its dimensions adaptive capacity, sensitivity and exposure. Thereby, we are mainly interested on climate change vulnerability at community-level watershed development programmes and how the different implementing agencies could help to address the problems associated with climate change in future planning and implementation. The primary data used for this study was obtained from household surveys (n=215) in three watershed communities of Kerala, India. We use bootstrap sampling and a leave-one-out sensitivity analysis to compare the climate vulnerability of the three examined watersheds in detail. By introducing the bootstrapping method and sensitivity analysis into the research field of climate vulnerability, the paper describes significant differences in CVI values and the influencing indicators to the overall vulnerability at the watershed community level. The results show that there are significant differences in the exposure and sensitivity dimensions of vulnerability even if the overall CVI shows less variability and no significant differences among the three watersheds. The sensitivity analysis emphasizes that ‘Livelihood Strategies’ and ‘Social Network’ are the most influencing major components of vulnerability. This suggests that implementing agencies should focus on these two major components in order to improve the watershed development programmes. The bootstrapping approach is transferable to evaluate the degree of influence of indicators on a composite index like the CVI. Moreover, it allows us to evaluate the potential effectiveness of various other climate change programmes where the evaluation is commonly done by field surveys. This thereby helps to increase the credibility in the examination of the impacts of climate change at different scales in order to find key areas for better policy planning.