Floral communities present complex and shifting resource landscapes for flower-foraging animals. Strong similarities among the floral displays of different plant species, paired with high variability in reward distributions across time and space, can weaken correlations between floral signals and reward status. As a result, it should be difficult for foragers to discriminate between rewarding and rewardless flowers. Building on signal detection theory in behavioural ecology, we use hypothetical probability density functions to examine graphically how plant signals pose challenges to forager decision-making. We argue that foraging costs associated with incorrect acceptance of rewardless flowers and incorrect rejection of rewarding ones interact with community-level reward availability to determine the extent to which rewardless and rewarding species should overlap in flowering time. We discuss the evolutionary consequences of these phenomena from both the forager and the plant perspectives. This article is part of the theme issue 'Signal detection theory in recognition systems: from evolving models to experimental tests'.
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http://dx.doi.org/10.1098/rstb.2019.0486 | DOI Listing |
Sci Rep
January 2025
Faculty of Art and Science, Department of Chemistry, Yıldız Technical University, 34220, İstanbul, Türkiye.
In the present study, dispersive solid phase extraction - hydride generation integrated with micro-sampling gas-liquid separator - flame atomic absorption spectrometry was proposed to determine lead in lake water samples taken in the Horseshoe Island, Antarctica. In scope of this study, microwave assisted NiFeO nanoparticles were synthesized, and the characterization of nanoparticles were carried out by FT-IR, XRD and SEM. All influential parameters of dispersive solid phase extraction and hydride generation were optimized to enhance signal intensity belonging to the analyte.
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January 2025
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
This study introduces a novel ensemble learning technique namely Multi-Armed Bandit Ensemble (MAB-Ensemble), designed for lane detection in road images intended for autonomous vehicles. The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. The benchmarking dataset namely TuSimple is used for training, validating and testing the proposed and existing lane detection techniques.
View Article and Find Full Text PDFZhonghua Fu Chan Ke Za Zhi
January 2025
Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, State Key Laboratory of Female Fertility Promotion, National Clinical Research Center for Obstetric and Gynecologic Diseases, Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing100191, China.
To explore biomarkers for the efficacy of lymphocyte immunotherapy (LIT) treating women with unexplained recurrent spontaneous abortion (URSA). Serum samples from 24 URSA potients who received LIT were collected at Peking University Third Hospital from December 2014 to June 2015. Semiquantitative sandwich-based antibody arrays containing 40 cytokines were used to screen target immune cytokines in the peripheral blood of URSA patients before and after LIT.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
Engineering Research Center of Optical Instrument and System, Ministry of Education and Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai, 200093, China.
Background: Surface-enhanced Raman scattering (SERS) has attracted much attention as a powerful detection and analysis tool with high sensitivity and fast detection speed. The intensity of the SERS signal mainly depended on the highly enhanced electromagnetic field of nanostructure near the substrate. However, the fabrication of high-quality SERS nanostructured substrates is usually complicated, makes many methods unsuitable for large-scale production of SERS substrates.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
Food Inspection and Quarantine Technology Center of Shenzhen Customs, Shenzhen Academy of Inspection and Quarantine, Shenzhen, 518045, PR China.
Background: Ochratoxin A (OTA) is toxic secondary metabolites produced by fungi and can pose a serious threat to food safety and human health. Due to the high stability and toxicity, OTA contamination in agricultural products is of great concern. Therefore, the development of a highly sensitive and reliable OTA detection method is crucial to ensure food safety.
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