Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jessica A. C. de Bruijn"'
Publikováno v:
Frontiers in Ecology and Evolution, Vol 6 (2018)
Parasitic wasps are known to improve their foraging efficiency after learning of herbivore-induced plant volatiles (HIPVs) upon encountering their hosts on these plants. However, due to spatial and temporal variation of herbivore communities, learned
Externí odkaz:
https://doaj.org/article/20f60e5bf83d4b468ad0418a7425adac
Publikováno v:
Ecological Entomology, 47(4), 668-678
Ecological Entomology, 47(4), 668-678. John Wiley and Sons Ltd
Ecological Entomology, 47(4), 668-678. [S.l.]: Royal Entomological Society
Ecological Entomology 47 (2022) 4
Ecological Entomology, 47(4), 668-678. John Wiley and Sons Ltd
Ecological Entomology, 47(4), 668-678. [S.l.]: Royal Entomological Society
Ecological Entomology 47 (2022) 4
Parasitoids lay their eggs in or on a host, usually another insect. During foraging, parasitoids can encounter insects that differ in terms of host suitability and quality. At one extreme end of this spectrum are non-hosts that are unsuitable for off
Publikováno v:
Journal of Animal Ecology 90 (2021) 7
Journal of Animal Ecology, 90(7), 1635-1647. [S.l.]: British Ecological Society
Journal of Animal Ecology, 90(7), 1635-1646
Journal of Animal Ecology, 90(7), 1635-1646. John Wiley and Sons Ltd
The Journal of Animal Ecology
Journal of Animal Ecology, 90(7), 1635-1647. [S.l.]: British Ecological Society
Journal of Animal Ecology, 90(7), 1635-1646
Journal of Animal Ecology, 90(7), 1635-1646. John Wiley and Sons Ltd
The Journal of Animal Ecology
Dynamic conditions in nature have led to the evolution of behavioural traits that allow animals to use information on local circumstances and adjust their behaviour accordingly, for example through learning. Although learning can improve foraging eff
Publikováno v:
Behavioral Ecology, 32(5), 952-960. Oxford: Oxford University Press
Behavioral Ecology, 32(5), 952-960
Behavioral Ecology, 32(5), 952-960. Oxford University Press
Behavioral Ecology 32 (2021) 5
Behavioral Ecology
Behavioral Ecology, 32(5), 952-960
Behavioral Ecology, 32(5), 952-960. Oxford University Press
Behavioral Ecology 32 (2021) 5
Behavioral Ecology
Animals can alter their foraging behavior through associative learning, where an encounter with an essential resource (e.g., food or a reproductive opportunity) is associated with nearby environmental cues (e.g., volatiles). This can subsequently imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f11fe19614714f5fa7dea3ca2b94c33
https://www.greeni.nl/iguana/www.main.cls?surl=greenisearch#RecordId=2.149065
https://www.greeni.nl/iguana/www.main.cls?surl=greenisearch#RecordId=2.149065
Publikováno v:
Frontiers in Ecology and Evolution, 6(OCT)
Frontiers in Ecology and Evolution, Vol 6 (2018)
Frontiers in Ecology and Evolution 6 (2018) OCT
Frontiers in Ecology and Evolution, 6:160. Frontiers Media SA
Frontiers in Ecology and Evolution, Vol 6 (2018)
Frontiers in Ecology and Evolution 6 (2018) OCT
Frontiers in Ecology and Evolution, 6:160. Frontiers Media SA
Parasitic wasps are known to improve their foraging efficiency after learning of herbivore-induced plant volatiles (HIPVs) upon encountering their hosts on these plants. However, due to spatial and temporal variation of herbivore communities, learned
Publikováno v:
Journal of Neuroscience Methods, 309, 208-217
Journal of Neuroscience Methods 309 (2018)
Journal of Neuroscience Methods, 309, 208-217. Elsevier B.V.
Journal of Neuroscience Methods 309 (2018)
Journal of Neuroscience Methods, 309, 208-217. Elsevier B.V.
Background Insects are important models to study learning and memory formation in both an ecological and neuroscience context due to their small size, behavioral flexibility and ecological diversity. Measuring memory retention is often done through s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06937574ebef06ee1200359faf51faf0
https://research.wur.nl/en/publications/automated-high-throughput-individual-tracking-system-for-insect-b
https://research.wur.nl/en/publications/automated-high-throughput-individual-tracking-system-for-insect-b