Article
Multidisciplinary Sciences
Martin Wikelski, Michael Quetting, Yachang Cheng, Wolfgang Fiedler, Andrea Flack, Anna Gagliardo, Reyes Salas, Nora Zannoni, Jonathan Williams
Summary: The study shows that wild European white storks primarily use olfactory information to locate freshly cut fields with insects and rodents, challenging the current perception that birds mainly rely on visual or social cues for finding food.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Vadim A. Karatayev, Vitor V. Vasconcelos, Anne-Sophie Lafuite, Simon A. Levin, Chris T. Bauch, Madhur Anand
Summary: The authors suggest that the most effective strategy may involve starting with regional legally binding, aggressive agreements and then gradually shifting focus towards global legally-binding agreements.
NATURE COMMUNICATIONS
(2021)
Article
Zoology
Martin Kaatz, Michael Kaatz, Anne Meinzenbach, Steffen Springer, Michael Zieger
Summary: This study investigates the suitability of Google Trends data in capturing the migration of white storks in Germany. The results show a seasonal pattern of public interest in white storks in Germany, but no clear seasonality was detected along the migration routes.
ZOOLOGISCHER ANZEIGER
(2023)
Article
Multidisciplinary Sciences
Leticia R. Paiva, Alessandra Marins, Paulo F. Cristaldo, Danilo Miranda Ribeiro, Sidiney G. Alves, Andy M. Reynolds, Og DeSouza, Octavio Miramontes
Summary: As the number or density of interacting individuals in a social group increases, a transition can develop to a collective coherent pattern from uncorrelated and disordered behavior of the individuals. The value of the scaling exponent mu of a power law describing the Levy walk of an individual is collectively modified as the density of animals in the group changes. This effect is absent when termites interact with inert obstacles.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Julian Cano-Povedano, Cosme Lopez-Calderon, Marta I. Sanchez, Francisco Hortas, Belen Canuelo-Jurado, Victor Martin-Velez, Macarena Ros, Andres Cozar, Andy J. Green
Summary: This study evaluates the plastic transport into Cadiz Bay in southwest Spain by white storks through ingestion and regurgitation of landfill plastic. It found that in 2022, 99 kg of plastic and over 2 million plastic particles were biovectored into the wetland, with seasonal peaks following migration patterns.
MARINE POLLUTION BULLETIN
(2023)
Article
Multidisciplinary Sciences
Joseph B. Bak-Coleman, Mark Alfano, Wolfram Barfuss, Carl T. Bergstrom, Miguel A. Centeno, Iain D. Couzin, Jonathan F. Donges, Mirta Galesic, Andrew S. Gersick, Jennifer Jacquet, Albert B. Kao, Rachel E. Moran, Pawel Romanczuk, Daniel Rubenstein, Kaia J. Tombak, Jay J. Van Bavel, Elke U. Weber
Summary: The study of collective behavior is crucial in understanding how group actions and characteristics emerge from individual information sharing. In the digital age and with the rise of social media, social systems are undergoing rapid changes, posing challenges for scientific progress, democracy, and addressing global crises. It is argued that collective behavior research should become a crisis discipline, providing actionable insights for policymakers to steward social systems.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Chemistry, Physical
Renat Sh. Ikhsanov, Igor E. Protsenko, Igor V. Smetanin, Nikolay V. Nikonorov, Alexander V. Uskov
Summary: The concepts of local and global photoemission directivity patterns for plasmonic nanoparticles of arbitrary shape are introduced, and their relationship is established. Formulas for the local photoemission directionality pattern are obtained for different mechanisms and field distributions in plasmonic modes inside nanoparticles. The calculated patterns for spherical nanoparticles with excited dipole or quadruple plasmonic modes show qualitative differences between surface and volume photoemission, and also among different plasmonic modes. These findings have potential applications in various plasmonic devices and technologies, including nanostructured photocathodes, photodetectors, and plasmonic photocatalysis.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Engineering, Electrical & Electronic
Kunjin Chen, Tomas Vantuch, Yu Zhang, Jun Hu, Jinliang He
Summary: Utilizing a large dataset, an innovative pulse shape characterization method based on clustering techniques was designed for fault-related PD patterns analysis, leading to the development of a novel machine learning model with superior detection performance for early-stage covered conductor faults. This model outperforms the winning model in a Kaggle competition and provides a state-of-the-art solution for real-time disturbance detection in the field.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Physics, Fluids & Plasmas
Kunal Bhattacharya, Abhijit Chakraborty
Summary: In this study, we investigate a system of self-propelled particles where the alignment state of each particle can switch between fast aligning and slow nonaligning states based on the alignment of neighboring particles. We find that the introduction of a threshold for the local order parameter results in the emergence of a mixed phase and clusters of nonaligning particles, unlike the ordered phases observed in clean self-propelled particle systems. Additionally, the system shows different behaviors in terms of the clustering of nonaligning particles at low and high global densities, with the latter exhibiting a continuous percolation transition and the former showing a logarithmic growth of the largest cluster size with the total number of particles. Moreover, the speed differences between aligning and nonaligning particles play an important role in their segregation.
Article
Ecology
Tyler J. Buchinger, Darryl W. Hondorp, Charles C. Krueger
Summary: The rich intraspecific diversity in traits of a metapopulation of lake sturgeon leads to differential responses to climate change within the species. This study focuses on the effects of interannual air temperature variations on the spring migratory phenology of different groups within the sturgeon population. The results show mixed phenological responses to warm temperatures, with some migratory groups arriving earlier during warm years and others showing consistent arrival regardless of temperature. The findings highlight the complexity and individual variation in species' responses to climate change.
Article
Ecology
Mohammed Athamnia, Bourhane-Eddine Belabed, Kenz Raouf Samraoui, Abdennour Boucheker, Laid Touati, Farrah Samraoui, Hamed A. El-Serehy, Boudjema Samraoui
Summary: Global changes are causing migratory birds to advance their annual cycle, and this study focuses on the factors influencing the arrival time of migratory white storks in North Africa. The results show that arrival time is negatively correlated with age and year of arrival, and there has been a shift towards earlier arrivals at the breeding ground.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2022)
Article
Computer Science, Artificial Intelligence
Xin Shu, Hui Pan, Jinlong Shi, Xiaoning Song, Xiao-Jun Wu
Summary: This paper proposes a novel global refined local binary pattern (GRLBP) for texture feature extraction. By analyzing the nature of pixel intensity distribution in local neighborhoods, GRLBP can effectively describe and distinguish local neighborhoods with similar structures but different contrasts or grayscales. Experimental results demonstrate that GRLBP can represent detailed information of texture images and outperforms state-of-the-art LBP variants in terms of classification accuracy, feature dimension, and computational complexity.
PATTERN RECOGNITION
(2022)
Article
Ecology
Junjian Zhang, Xueqin Deng, Qingshan Zhao, Diana Solovyeva, Andrea Koelzsch, Inga Bysykatova-Harmey, Zhenggang Xu, Yanbo Xie, Helmut Kruckenberg, Lei Cao, Anthony David Fox
Summary: The study compares migration strategies between three Eurasia Greater White-fronted Geese populations and finds that they have different responses to the topographic challenges along their migration routes. BNS population faces no obvious ecological barriers and has shorter stopover duration. In contrast, EAC population faces more ecological barriers and has longer migration distance and time. WP population also faces similar challenges but with shorter migration duration.
JOURNAL OF BIOGEOGRAPHY
(2023)
Article
Business
Jonathan Calof, Klaus Solberg Soilen, Richard Klavans, Bisan Abdulkader, Ismail El Moudni
Summary: This study applies both local and global bibliometric analysis approaches to describe the organization and evolution of the literature on collective intelligence. These two approaches provide different perspectives on the structure, leaders, and evolution of the field, offering insights for those interested in contributing to the collective intelligence field.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Chemistry, Multidisciplinary
Carmen C. C. Mayorga-Martinez, Marketa Castoralova, Jaroslav Zelenka, Tomas Ruml, Martin Pumera
Summary: In this study, a method based on magnetic microrobots was developed for rapid isolation and identification of Staphylococcus aureus bacteria in milk. The method does not produce harmful compounds for the milk microbiota and can be efficiently applied in food production.
Article
Multidisciplinary Sciences
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles Stewart, Tanya Berger-Wolf
Summary: Inexpensive and accessible sensors are increasingly used in animal ecology to accelerate data acquisition. By combining machine learning with domain knowledge, ecologists can harness large datasets generated by modern sensors to improve ecological models and develop integrated hybrid modeling tools through interdisciplinary collaboration.
NATURE COMMUNICATIONS
(2022)
Article
Ecology
Roland Kays, Sarah C. Davidson, Matthias Berger, Gil Bohrer, Wolfgang Fiedler, Andrea Flack, Julian Hirt, Clemens Hahn, Dominik Gauggel, Benedict Russell, Andrea Kolzsch, Ashley Lohr, Jesko Partecke, Michael Quetting, Kamran Safi, Anne Scharf, Gabriel Schneider, Ilona Lang, Friedrich Schaeuffelhut, Matthias Landwehr, Martin Storhas, Louis van Schalkwyk, Candace Vinciguerra, Rolf Weinzierl, Martin Wikelski
Summary: Movebank is an ecosystem of tools used by thousands of researchers to collect, manage, share, visualize, analyse and archive animal tracking and sensor data. With over 3,100 data owners globally, Movebank manages over 6 billion animal location and sensor measurements across more than 6,500 studies. The platform enables real-time monitoring of animals at a global scale and facilitates broad comparative analyses and collaboration efforts.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Ornithology
Rebecca Pederson, Pierrick Bocher, Stefan Garthe, Jerome Fort, Moritz Mercker, Verena Auernhammer, Martin Boschert, Philippe Delaporte, Jaanus Elts, Wolfgang Fiedler, Michal Korniluk, Dominik Krupinski, Riho Marja, Pierre Rousseau, Lukas Thiess, Philipp Schwemmer
Summary: This study verified migration patterns of the Eurasian curlew in the East Atlantic Flyway, showing chain migration behavior. Spring migration occurred earlier than autumn, and southern curlews had a longer nesting period due to early arrival at breeding sites.
JOURNAL OF AVIAN BIOLOGY
(2022)
Article
Biology
Jolle Wolter Jolles, Matthew M. G. Sosna, Geoffrey P. F. Mazue, Colin R. Twomey, Joseph Bak-Coleman, Daniel Rubenstein, Iain D. Couzin
Summary: Predation is a main evolutionary driver of social grouping, and its detailed quantification remains challenging. In this study, high-resolution tracking of solitary predators hunting schooling fish sheds light on predator decision-making and identifies key features that predict individual risk and survival during attacks. The results reveal the importance of attackers approaching the largest groups stealthily and already being inside the school, making prey in the frontal 'strike zone' the most vulnerable to be targeted. From the prey's perspective, fish in central locations, but relatively far from and less aligned with their neighbors, are most likely to be targeted.
Review
Ecology
Iain D. Couzin, Conor Heins
Summary: The first response exhibited by animals to changing environments is usually behavioral and behavior is crucial in predicting and mitigating the effects of environmental changes on populations and ecosystems. However, the complexity of behavior and the difficulties in understanding how animals perceive their world and make decisions have limited behavioral research scope. Nevertheless, advances in electronics and machine learning offer powerful tools to observe, analyze, and interpret behavior, enabling the exploration of underlying generative processes.
TRENDS IN ECOLOGY & EVOLUTION
(2023)
Article
Ecology
Benjamin Koger, Adwait Deshpande, Jeffrey T. T. Kerby, Jacob M. M. Graving, Blair R. R. Costelloe, Iain D. D. Couzin
Summary: This article introduces a new system for studying animal behavior in the wild, which uses drone-recorded videos and computer vision approaches to automatically track the location and body posture of free-roaming animals with high spatiotemporal resolution in georeferenced 3D landscape models.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Biology
Vivek H. H. Sridhar, Jacob D. D. Davidson, Colin R. R. Twomey, Matthew M. G. Sosna, Mate Nagy, Iain D. D. Couzin
Summary: Many animal behaviors exhibit complex temporal dynamics, suggesting there are multiple timescales at which they should be studied. Researchers often focus on behaviors that occur over relatively restricted temporal scales, typically ones that are more accessible to human observation. This article presents a technique to study the time-varying nature of social influence in mobile animal groups across multiple temporal scales.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Biochemistry & Molecular Biology
Lital Oscar, Liang Li, Dan Gorbonos, Iain D. Couzin, Nir S. Gov
Summary: This study investigates the decision-making process of zebrafish in determining their future travel direction while moving. By using virtual reality technology, the researchers observe how real fish respond to the movement of virtual conspecific leaders and construct a model that includes explicit decision-making processes. The model explains the observed spatial distribution of fish behind the virtual leaders and describes individual decision-making processes.
Editorial Material
Biology
Iain D. Couzin, Liang Li
Summary: When a fish wiggles its tail, it creates swirls in the water that can be utilized by other fish to conserve energy while swimming.
Article
Biology
Iris D. D. Bontekoe, Roland Hilgartner, Wolfgang Fiedler, Andrea Flack
Summary: Choosing the right migration timing is important for migrants as it influences their movement costs, survival, and access to social information. Delayed migration of juvenile white storks resulted in altered physical and social environment, but they experienced better wind support and achieved higher flight speeds. However, delayed storks had lower mortality rates and did not reach traditional African wintering areas, indicating long-term consequences on migration decisions.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Multidisciplinary Sciences
Mate Nagy, Hemal Naik, Fumihiro Kano, Nora V. Carlson, Jens C. Koblitz, Martin Wikelski, Iain D. Couzin
Summary: The SMART-BARN is a scalable multimodal platform that allows fast and robust tracking of animal behavior in groups within a large three-dimensional environment using multiple information channels. It can measure behavior from a wide range of animal taxa and sizes simultaneously, and integrates various measurement techniques and remote control units for real-time and offline analysis.
Proceedings Paper
Computer Science, Artificial Intelligence
Urs Waldmann, Hemal Naik, Nagy Mate, Fumihiro Kano, Iain D. Couzin, Oliver Deussen, Bastian Goldluecke
Summary: This paper presents I-MuPPET, a system for estimating and tracking 2D keypoints of multiple pigeons. The system achieves fast and accurate results by training a neural network on single pigeons and using a state-of-the-art tracker for multiple pigeon sequences.
PATTERN RECOGNITION, DAGM GCPR 2022
(2022)