Refine
Has Fulltext
- no (291) (remove)
Year of publication
Document Type
- Article (282)
- Monograph/Edited Volume (8)
- Other (1)
Language
- English (291) (remove)
Is part of the Bibliography
- yes (291)
Keywords
- Complex networks (5)
- Event synchronization (4)
- Extreme rainfall (2)
- Synchronization (2)
- bifurcations (2)
- synchronization (2)
- 3D medical image analysis (1)
- African climate (1)
- Algebraic geometry (1)
- Amazon rainforest (1)
Institute
- Institut für Physik und Astronomie (216)
- Interdisziplinäres Zentrum für Dynamik komplexer Systeme (38)
- Institut für Geowissenschaften (22)
- Department Psychologie (12)
- Institut für Biochemie und Biologie (4)
- Department Linguistik (2)
- Institut für Informatik und Computational Science (2)
- Department Sport- und Gesundheitswissenschaften (1)
- Institut für Umweltwissenschaften und Geographie (1)
We study the dynamics of the excitable Fitz Hugh-Nagumo system under external noisy driving. Noise activates the system producing a sequence of pulses. The coherence of these noise-induced oscillations is shown to be maximal for a certain noise amplitude. This new effect of coherence resonance is explained by different noise dependencies of the activation and the excursion times. A simple one-dimensional model based on the Langevin dynamics is proposed for the quantitative description of this phenomenon.
Climate change perception
(2018)
Climate change and variability have created widespread risks for farmers’ food and livelihood security in the Himalayas. However, the extent of impacts experienced and perceived by farmers varies, as there is substantial diversity in the demographic, social, and economic conditions. Therefore, it is essential to understand how farmers with different resource-endowment and household characteristics perceive climatic risks. This study aims to analyze how farmer types perceive climate change processes and its impacts to gain insight into locally differentiated concerns by farming communities. The present study is based in the Uttarakhand state of Indian Western Himalayas. We examine farmer perceptions of climate change and how perceived impacts differ across farmer types. Primary household interviews with farming households (n = 241) were done in Chakrata and Bhikiyasian tehsil in Uttarakhand, India. In addition, annual and seasonal patterns of historical data of temperature (1951–2013) and precipitation (1901–2013) were analyzed to estimate trends and validate farmers’ perception. Using statistical methods farmer typology was constructed, and five unique farmer types are identified. Majority of respondents across all farmer types noticed a decrease in summer and winter precipitation and an increase in summer temperature. Whereas the perceptions of impacts of climate change diverged across farmer types, as specific farmer types exclusively experienced few impacts. Impact of climatic risks on household food security and income was significantly perceived stronger by low-resource-endowed subsistence farmers, whereas the landless farmer type exclusively felt impacts on the communities social bond. This deeper understanding of the differentiated perception of impacts has strong implications for agricultural and development policymaking, highlighting the need for providing flexible adaptation options rather than specific solutions to avoid inequalities in fulfilling the needs of the heterogeneous farming communities.
We investigate the characteristics of time-delay systems in the presence of Gaussian noise. We show that the delay time embedded in the time series of time-delay system with constant delay cannot be estimated in the presence noise for appropriate values of noise intensity thereby forbidding any possibility of phase space reconstruction. We also demonstrate the existence of complete synchronization between two independent identical time-delay systems driven by a common noise without explicitly establishing any external coupling between them.