Results 181 to 190 of about 513,856 (416)

A predator onWiseana(Lep. : Hepialidae) [PDF]

, 1966
A. C. Eyles
openalex   +1 more source

The Impacts of Health and Environmental Information Nudges on Meat Choices: Where Does Goat Meat Fit?

Agribusiness, EarlyView.
ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal, Sunil P. Dhoubhadel, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source

Predator-Induced Parental Neglect in a Ring-Billed Gull Colony [PDF]

, 1966
John T. Emlen, D. E. Miller, Roger M. Evans, David H. Thompson   +3 more
openalex   +1 more source

Predator traits determine food-web architecture across ecosystems

Nature Ecology & Evolution, 2019
U. Brose, P. Archambault, A. Barnes, Louis-Félix Bersier, Thomas Boy, J. Canning‐Clode, E. Conti, M. Dias, Christoph Digel, A. Dissanayake, A. Flores, Katarina E. Fussmann, Benoit Gauzens, Clare Gray, Johanna Häussler, Myriam R. Hirt, U. Jacob, M. Jochum, S. Kéfi, Órla Mclaughlin, Muriel M. MacPherson, Ellen Latz, Katrin Layer-Dobra, P. Legagneux, Yuanheng Li, C. Madeira, Neo D. Martinez, V. Mendonça, C. Mulder, S. Navarrete, Eoin J. O’Gorman, David Ott, J. Paula, Daniel M. Perkins, Denise A. Piechnik, I. Pokrovsky, D. Raffaelli, Björn C. Rall, B. Rosenbaum, Remo Ryser, Ana Silva, Esra H. Sohlström, Natalia A. Sokolova, M. Thompson, R. Thompson, Fanny Vermandele, C. Vinagre, Shaopeng Wang, Jori M. Wefer, Richard J. Williams, E. Wieters, G. Woodward, A. Iles   +52 more
semanticscholar   +1 more source

Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

Advanced Intelligent Systems, EarlyView.
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley   +1 more source

Autonomous Navigation of Bio‐Intelligent Cyborg Insect Based on Insect Visual Perception

Advanced Intelligent Systems, EarlyView.
The bio‐intelligent cyborg insect (BCI) introduces a noninvasive ultraviolet‐based control method, leveraging natural sensory behaviors for adaptive navigation. By integrating biological and artificial intelligence, BCI minimizes habituation and enhances locomotion in complex environments.
Chowdhury Mohammad Masum Refat, Mochammad Ariyanto, Ryo Tanaka, Kotaro Yamamoto, Keisuke Morishima   +4 more
wiley   +1 more source

Self‐Organized Multitarget Pursuit in Multi‐Unmanned Aerial Vehicle Systems via Hierarchical Probabilistic Graphical Models

Advanced Intelligent Systems, EarlyView.
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang, Xiaojia Xiang, Chao Yan, Heda Xu, Tianjiang Hu, Han Zhou   +5 more
wiley   +1 more source

Effect of Weather Factors on the Host-Predators Relationship in the Aleyrodid, Siphoninus phillyreae finitimus Goux on Pomegranate [PDF]

, 1963
VASANTHARAJ DAVID B
openalex   +1 more source

Does the abiotic environment influence the distribution of flower and fruit colors?

American Journal of Botany, EarlyView.
Abstract Premise Color in flowers and fruits carries multiple functions, from attracting animal partners (pollinators, dispersers) to mitigating environmental stress (cold, drought, UV‐B). With research historically focusing on biotic interactions as selective agents, however, it remains unclear whether abiotic stressors impact flower and fruit colors ...
Agnes S. Dellinger, Leah Meier, Stacey Smith, Miranda Sinnott‐Armstrong   +3 more
wiley   +1 more source

Gregarious Behaviour of Evasive Prey [PDF]

Gregarious behavior of potential prey was explained by Hamilton (1971) on the basis of risk-sharing: The probability of being picked up by a predator is small when one makes part of a large aggregate of prey.
Avner Shaked, Emilia Sansone, Ilan Eshel
core