Prof. Dr. Jens Krause
Profil
Forschungsthemen4
Aufrechterhaltung des Machtgleichgewichts in Tiergesellschaften
Quelle ↗Förderer: DFG Nachwuchsgruppe Zeitraum: 04/2026 - 03/2029 Projektleitung: Dr. Danai Papageorgiou, Prof. Dr. Jens Krause
EXC 2002/1: Anticipation, Prediction and Behavioural Reliability in Social Interactions (TP 10)
Quelle ↗Förderer: DFG Exzellenzstrategie Cluster Zeitraum: 06/2019 - 03/2023 Projektleitung: Prof. Dr. Jens Krause, Prof. Dr. sc. nat. Verena Hafner
EXC 2002: Science of Intelligence (SCIoI)
Quelle ↗Förderer: DFG Exzellenzstrategie Cluster Zeitraum: 01/2019 - 12/2025 Projektleitung: Prof. Dr. Michael Pauen, Prof. Dr. Pawel Romanczuk, Prof. Dr. sc. nat. Verena Hafner, Prof. Dr. rer. nat. Rasha Abdel Rahman, Prof. Dr. phil. Martin Rolfs, Prof. Dr. Jens Krause
Untersuchung zu den Konsequenzen von Sozialer Reaktionsfähigkeit auf Führungsverhalten mittels eines interaktiven, biomimetischen Roboterfisches
Quelle ↗Förderer: DFG Eigene Stelle (Sachbeihilfe) Zeitraum: 06/2016 - 05/2019 Projektleitung: Dr. phil. nat. Dipl. Biol. David Bierbach, Prof. Dr. Jens Krause
Mögliche Industrie-Partner10
Stand: 26.4.2026, 19:48:44 (Top-K=20, Min-Cosine=0.4)
- 34 Treffer70.3%
- INTeractive RObotics Research NetworkP70.3%
- INTeractive RObotics Research Network
- 33 Treffer70.3%
- INTeractive RObotics Research NetworkP70.3%
- INTeractive RObotics Research Network
- 149 Treffer66.7%
- Tiere zum Sprechen bringen. Logistik, Wissenschaft, PräsentationP66.7%
- Tiere zum Sprechen bringen. Logistik, Wissenschaft, Präsentation
- 30 Treffer60.9%
- Embodied Audition for RobotSP60.9%
- Embodied Audition for RobotS
- 31 Treffer58.7%
- Systematic Models for Biological Systems Engineering Training NetworkP58.7%
- Systematic Models for Biological Systems Engineering Training Network
- 31 Treffer58.7%
- Systematic Models for Biological Systems Engineering Training NetworkP58.7%
- Systematic Models for Biological Systems Engineering Training Network
- 31 Treffer58.7%
- Systematic Models for Biological Systems Engineering Training NetworkP58.7%
- Systematic Models for Biological Systems Engineering Training Network
Protatuans-Etaireia Ereynas Viotechologias Monoprosopi Etaireia Periorisments Eythinis
PT29 Treffer58.7%- Systematic Models for Biological Systems Engineering Training NetworkP58.7%
- Systematic Models for Biological Systems Engineering Training Network
- 84 Treffer58.2%
- Gamification for Climate ActionP58.2%
- Gamification for Climate Action
- 7 Treffer58.0%
- Interfaces in opto-electronic thin film multilayer devicesP58.0%
- Interfaces in opto-electronic thin film multilayer devices
Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
Nature · 2780 Zitationen · DOI
Living in Groups
20022245 Zitationen · DOI
Abstract Group Living is a widespread phenomenon within the animal kingdom and has attracted considerable attention in a number of different contexts. This book is focused on the unifying concepts regarding group behaviour that have been developed over the last two decades. The authors set out to discuss the mechanisms that govern the evolution and maintenance of grouping behaviour throughout the animal kingdom, and the ecological factors that control observed group size and group composition in particular situations. Although the book's emphasis is on the elaboration of a conceptual framework, extensive examples and case studies illustrate the diversity of grouping phemonema across taxonomic boundaries, and demonstrate the general applicability of the concepts involved. This book will familiarise the reader with the latest ideas on the ecology and evolution of group-living animals, providing a summary and critical synthesis of the extensive and diverse literature on the subject.
Living in groups
2002Medical Entomology and Zoology · 2206 Zitationen
1. Introduction 2. The benefits of group formation 3. Some costs of grouping 4. The size of a group 5. Spatial heterogeneity of costs and benefits within groups 6. Heterogeneity and homogeneity of group membership 7. Evolutionary considerations 8. Environmental effects on grouping behaviour 9. Mechanisms 10. Conclusions
Journal of Theoretical Biology · 2160 Zitationen · DOI
Advances in the study of behavior · 939 Zitationen · DOI
Princeton University Press eBooks · 673 Zitationen · DOI
Social network analysis is used widely in the social sciences to study interactions among people, groups, and organizations, yet until now there has been no book that shows behavioral biologists how to apply it to their work on animal populations. Exploring Animal Social Networks provides a practical guide for researchers, undergraduates, and graduate students in ecology, evolutionary biology, animal behavior, and zoology. Existing methods for studying animal social structure focus either on one animal and its interactions or on the average properties of a whole population. This book enables researchers to probe animal social structure at all levels, from the individual to the population. No prior knowledge of network theory is assumed. The authors give a step-by-step introduction to the different procedures and offer ideas for designing studies, collecting data, and interpreting results. They examine some of today's most sophisticated statistical tools for social network analysis and show how they can be used to study social interactions in animals, including cetaceans, ungulates, primates, insects, and fish. Drawing from an array of techniques, the authors explore how network structures influence individual behavior and how this in turn influences, and is influenced by, behavior at the population level. Throughout, the authors use two software packages--UCINET and NETDRAW--to illustrate how these powerful analytical tools can be applied to different animal social organizations.
Journal of Statistical Physics · 614 Zitationen · DOI
We discuss models and data of crowd disasters, crime, terrorism, war and disease spreading to show that conventional recipes, such as deterrence strategies, are often not effective and sufficient to contain them. Many common approaches do not provide a good picture of the actual system behavior, because they neglect feedback loops, instabilities and cascade effects. The complex and often counter-intuitive behavior of social systems and their macro-level collective dynamics can be better understood by means of complexity science. We highlight that a suitable system design and management can help to stop undesirable cascade effects and to enable favorable kinds of self-organization in the system. In such a way, complexity science can help to save human lives.
Behavioral Ecology and Sociobiology · 491 Zitationen · DOI
Reviews in Fish Biology and Fisheries · 489 Zitationen · DOI
Proceedings of the National Academy of Sciences · 477 Zitationen · DOI
Despite the growing interest in collective phenomena such as "swarm intelligence" and "wisdom of the crowds," little is known about the mechanisms underlying decision-making in vertebrate animal groups. How do animals use the behavior of others to make more accurate decisions, especially when it is not possible to identify which individuals possess pertinent information? One plausible answer is that individuals respond only when they see a threshold number of individuals perform a particular behavior. Here, we investigate the role of such "quorum responses" in the movement decisions of fish (three-spine stickleback, Gasterosteus aculeatus). We show that a quorum response to conspecifics can explain how sticklebacks make collective movement decisions, both in the absence and presence of a potential predation risk. Importantly our experimental work shows that a quorum response can reduce the likelihood of amplification of nonadaptive following behavior. Whereas the traveling direction of solitary fish was strongly influenced by a single replica conspecific, the replica was largely ignored by larger groups of four or eight sticklebacks under risk, and the addition of a second replica was required to exert influence on the movement decisions of such groups. Model simulations further predict that quorum responses by fish improve the accuracy and speed of their decision-making over that of independent decision-makers or those using a weak linear response. This study shows that effective and accurate information transfer in groups may be gained only through nonlinear responses of group members to each other, thus highlighting the importance of quorum decision-making.
Trends in Ecology & Evolution · 413 Zitationen · DOI
Animal Behaviour · 410 Zitationen · DOI
Philosophical Transactions of the Royal Society B Biological Sciences · 401 Zitationen · DOI
This paper reviews the literature on leadership in vertebrate groups, including recent work on human groups, before presenting the results of three new experiments looking at leadership and decision making in small and large human groups. In experiment 1, we find that both group size and the presence of uninformed individuals can affect the speed with which small human groups (eight people) decide between two opposing directional preferences and the likelihood of the group splitting. In experiment 2, we show that the spatial positioning of informed individuals within small human groups (10 people) can affect the speed and accuracy of group motion. We find that having a mixture of leaders positioned in the centre and on the edge of a group increases the speed and accuracy with which the group reaches their target. In experiment 3, we use large human crowds (100 and 200 people) to demonstrate that the trends observed from earlier work using small human groups can be applied to larger crowds. We find that only a small minority of informed individuals is needed to guide a large uninformed group. These studies build upon important theoretical and empirical work on leadership and decision making in animal groups.
Proceedings of the National Academy of Sciences · 383 Zitationen · DOI
Although it has been suggested that large animal groups should make better decisions than smaller groups, there are few empirical demonstrations of this phenomenon and still fewer explanations of the how these improvements may be made. Here we show that both speed and accuracy of decision making increase with group size in fish shoals under predation threat. We examined two plausible mechanisms for this improvement: first, that groups are guided by a small proportion of high-quality decision makers and, second, that group members use self-organized division of vigilance. Repeated testing of individuals showed no evidence of different decision-making abilities between individual fish. Instead, we suggest that shoals achieve greater decision-making efficiencies through division of labor combined with social information transfer. Our results should prompt reconsideration of how we view cooperation in animal groups with fluid membership.
Behavioral Ecology and Sociobiology · 362 Zitationen · DOI
Behavioral Ecology and Sociobiology · 343 Zitationen · DOI
Oecologia · 309 Zitationen · DOI
Proceedings of the Royal Society B Biological Sciences · 290 Zitationen · DOI
Social network theory is used to elicit details of the social structure of a population of free-ranging guppies, Poecilia reticulata. They were found to have a complex and highly structured social network, which exhibited characteristics consistent with the 'small world' phenomenon. Stable partner associations between individuals were observed, a finding that fulfils the basic prerequisite for the evolution of reciprocal altruism. The findings are discussed in relation to the ecology and evolution of the wild population, highlighting the potential application of network theory to social associations in animals.
Behavioral Ecology and Sociobiology · 279 Zitationen · DOI
Current Biology · 278 Zitationen · DOI
Trends in Ecology & Evolution · 276 Zitationen · DOI
Animal Behaviour · 259 Zitationen · DOI
The American Naturalist · 251 Zitationen · DOI
Self-organizing-system approaches have shed significant light on the mechanisms underlying synchronized movements by large groups of animals, such as shoals of fish, flocks of birds, or herds of ungulates. However, these approaches rarely consider conflicts of interest between group members, although there is reason to suppose that such conflicts are commonplace. Here, we demonstrate that, where conflicts exist, individual members of self-organizing groups can, in principle, increase their influence on group movement destination by strategically changing simple behavioral parameters (namely, movement speed, assertiveness, and social attraction range). However, they do so at the expense of an increased risk of group fragmentation and a decrease in movement efficiency. We argue that the resulting trade-offs faced by each group member render it likely that group movements are led by those members for which reaching a particular destination is most crucial or group cohesion is least important. We term this phenomenon leading according to "need" or "social indifference," respectively. Both kinds of leading can occur in the absence of knowledge of or communication about the needs of other group members and without the assumption of altruistic cooperation. We discuss our findings in the light of observations on fish and other vertebrates.
Social structure and co-operative interactions in a wild population of guppies (Poecilia reticulata)
2005Behavioral Ecology and Sociobiology · 239 Zitationen · DOI
Biological reviews/Biological reviews of the Cambridge Philosophical Society · 238 Zitationen · DOI
1. A general overview of position-related fitness differences in group-living animals is given for the first time. 2. Differential fitness returns in groups are often related to competition for resources among group members due to resource limitation. If resources are very scarce, then competition may finally lead to the disbandment of groups. The encounter-dilution effect predicts that grouping confers a benefit if the conspicuousness of large groups does not outweigh the dilution effect and each predator or parasite attacks only one (or a few) prey per encounter (Uetz & Hieber, 1993). While the encounter-dilution effect limits the number of predators and parasites a group is faced with at a given time, marginal predation and communal defence are probably the most important factors for position-related differences in predation risk. 3. Limitation of resources increases competition between groups members and should widen the gap between fitness returns of dominant and subordinate group members. In some group-living animals such as schooling fish, however, predator pressure has apparently selected for uniformity in morphology and behaviour which presumably restricts the potential for resource competition (Magurran & Seghers, 1991). 4. A general problem of assessing individual fitness returns in that different short-term strategies may achieve the same long term goals (Magurran, 1993). The use of feeding rates and predation risks as currencies for fitness returns over short time periods is therefore questionable and can only be a first step. So far, hardly any information is available on long-term effects of differences in positioning behaviour. 5. Food availability and food intake rates tend to be higher in edge positions, whereas energy expenditure does not differ significantly with group position in non-roosting mobile groups. This suggests that edge positions achieve a higher net-energy pay-off and should therefore be preferred by individuals with low energy reserves. 6. Differential predation risks are well documented for stationary and colony-breeding species, but there is a lack of data for mobile, non-breeding species. The reason for the latter is that predation is rarely observed (in the field) and often difficult to relate to group position in fast-moving species such as flocks of birds. Further studies, especially in the field, are needed. 7. Vigilance rates and attack rates do not necessarily give a true reflection of mortality risk. Vigilance is not exclusively related to predation and can be confounded by competition effects and hunger. Attack rates are difficult to translate into per capita risks if hardly any mortality is observed and therefore little information is available about the ratio of successful attacks/total attacks. 8. Most of the literature up to date consists of descriptive studies. There is a need for experimental work that investigate (a) the influence of predator attack mode on differential predation risks; (b) the influence of internal states (such as hunger) on the tradeoff between predation risk and foraging behaviour and its consequences for the positioning behaviour in groups; (c) the 'egalitarian' nature of groups with respect to group position. Do all individuals continuously rotate positions? Or do dominant individuals monopolize certain positions?, and (d) that separate the effects of nutritional state, vigilance and food availability on feeding rates in different group positions. 9. Reproductive success is often related to group position in breeding colonies and lekking animal species. Females probably prefer the safer territories in the group centre, but more empirical data are required to test this hypothesis. 10. Position-related differences in parasitism rate between group members are well documented with per capita rate of parasitism being lower in the centre of groups than at the periphery.(ABSTRACT TRUNCATED AT 400 WORDS)
Kooperationen6
Bestätigte Forscher↔Partner-Paare aus HU-FIS — Gold-Standard-Positive für das Matching.
EXC 2002: Science of Intelligence (SCIoI)
university
EXC 2002/1: Anticipation, Prediction and Behavioural Reliability in Social Interactions (TP 10)
university
Untersuchung zu den Konsequenzen von Sozialer Reaktionsfähigkeit auf Führungsverhalten mittels eines interaktiven, biomimetischen Roboterfisches
other
EXC 2002: Science of Intelligence (SCIoI)
other
EXC 2002: Science of Intelligence (SCIoI)
university
EXC 2002: Science of Intelligence (SCIoI)
university
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Jens Krause
- Titel
- Prof. Dr.
- Fakultät
- Lebenswissenschaftliche Fakultät
- Institut
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
- Arbeitsgruppe
- Biologie und Ökologie der Fische (S)
- Telefon
- +49 30 64181610
- HU-FIS-Profil
- Quelle ↗
- Zuletzt gescrapt
- 26.4.2026, 01:08:03