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  1. 61

    NPF signaling-dependent maintenance of metabolic homeostasis in the pea aphid is mediated by a highly selective ligand-receptor interaction and tissue-specific changes in NPF and N... by Cissy Huygens, Mélanie Ribeiro Lopes, El-Sayed Baz, Jozef Vanden Broeck, Federica Calevro, Patrick Callaerts

    Published 2025-07-01
    “…Neuropeptide F (NPF) and its receptor (NPFR) are important regulators of food intake, physiology and metabolism in insects. Focusing on a major crop pest, the pea aphid Acyrthosiphon pisum, it is shown that the predicted NPFR is a highly selective NPF receptor. …”
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    A systematic review of remote sensing technologies and techniques for agricultural insect pest monitoring: lessons for locustana pardalina (Brown Locust) control in South Africa by Kuselwa Mpisane, Mahlatse Kganyago, Cilence Munghemezulu, Cilence Munghemezulu, Roger Price, Lwandile Nduku

    Published 2025-05-01
    “…Overall, recent advances in remote sensing emphasizes the need for more research incorporating new sensors and predictive modelling in monitoring and assessment of insect pest such as the notorious Brown Locust in South Africa.…”
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    Phylogenetic and functional diversity among Drosophila-associated metagenome-assembled genomes by Aaron A. Comeault, Alberto H. Orta, David B. Fidler, Tobias Nunn, Amy R. Ellison, Tayte A. Anspach, Daniel R. Matute

    Published 2025-07-01
    “…Using functional gene predictions, we show that different bacterial lineages that comprise the insect microbiome differ in predicted functional capacities. …”
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  8. 68

    Context-dependent effects of formic acid on olfactory learning and generalisation in ants by Natacha Rossi, Martin Giurfa, Patrizia d’Ettorre

    Published 2025-07-01
    “…Abstract Animals use learning and memory to recognise cues that predict rewards or punishments, allowing flexible decision-making. …”
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    Hemlock looper outbreak: new insight about how Black-backed Woodpecker ( Picoides arcticus ) respond to resource pulses in eastern Canada by Myriam Lemieux, Vincent Lamarre, Junior A. Tremblay

    Published 2025-06-01
    “…At home range scale, nest site selection was predicted by the volume of early-decayed dead wood. …”
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  14. 74

    Impact of climatic change on alpine ecosystems: inference and prediction by Nigel G. Yoccoz, Anne Delestrade, Anne Loison

    Published 2011-01-01
    “…Climate can modify species phenology, such as flowering date of plants and hatching date in insects. It can also change directly population demography (survival, reproduction, dispersal), and therefore species distribution. …”
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    Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

    Published 2025-04-01
    “…ABSTRACT Globally, many insects depend on forest habitat for critical nesting and floral resources. …”
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