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Enregistrement W2338995727 · doi:10.14288/1.0093869

Factors regulating the reproductive cycles of some West Coast invertebrates

2010· article· en· W2338995727 sur OpenAlexaboutno aff
John H. Himmelman

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2010
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMarine and fisheries research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWest coastFisheryInvertebrateMarine invertebratesGeographyBiologyOceanographyGeology

Résumé

récupéré en direct d'OpenAlex

Annual reproductive cycles are found in many marine invertebrates. There is a vast literature on the subject, but the mechanisms involved have seldom been demonstrated. In the present study, 8 species of chitons and one sea urchin were studied for 3-5 years in southwestern British Columbia, at Vancouver and Porteau in the Strait of Georgia estuary, and at Botanical Beach on the outer coast of Vancouver Island. Reproductive condition was assessed mainly by the gonadal index method (percentage gonadal weight). There was a distinct annual cycle in the mean gonadal index of the urchin, Strongylocentrot-us droebachiensis Müller, and the chitons, Tonicella lineata Wood, Tonicella insignis Reeve, Mopalia hindsii Reeve, Mopalia laevior Pilsbry, Mopalia ciliata Sowerby, and Katharina tunicata Wood. In S. droebachiensis, T. lineata, T. insignis, M. laevior, and M. ciliata an abrupt spawning occurred in the spring, usually in April, and in M. hindsii there was usually an earlier spawning. K. tunicata sometimes spawned in April but the main spawning period was June. In M. laevior, K. tunicata, and probably M. hindsii, the gonads remained small during the summer and rapid gonadal growth occurred in the autumn and winter. In contrast, in S. droebachiensis, T. lineata, T, insignis, and M. ciliata gonadal growth started shortly after spawning. The data on reproduction in Mopalia lignose Gould were less clear. Mature animals were found in several seasons and drops in the mean gonadal index occurred in late winter-spring as well as in the summer. In Mopalia muscosa Gould animals in ripe and spent condition were found throughout the year. Consideration was given to the possible factors controlling gonadal growth. In a number of species, particularly species of warm water origin, it has been clearly demonstrated that gonadal development in the spring and summer is stimulated by increased temperatures. If temperature affects gonadal development in the species in the present study, it must act in several ways, since gonadal growth occurs through 2-3 periods of steadily increasing or decreasing temperature. The initiation of gonadal growth in K. tunicata and T. lineata in California and Oregon occurred at the same time as in the present study, although temperatures in the southern localities were fluctuating due to upwelling, in contrast to the regular temperature changes which occurred in British Columbia. This would suggest that temperature was not important, at least during the early stages of gonadal growth in K. tunicata and T. lineata. There are distinct annual photoperiod changes throughout the geographical ranges of the species in the present study, and in S. droebachiensis, T. lineata, T. insignis, and M. ciliata most gonadal growth occurred during the period of decreasing day length. Food conditions are known to affect the number of gametes produced in a number of species, including S. droebachiensis and K. tunicata, but there is no evidence that the timing of gonadal growth in the species in my study is controlled by a change in food conditions. The importance of temperature in stimulating spawning has been stressed by many authors, but I know of no instance where it has been demonstrated that a temperature change, sufficient to induce animals to spawn in the laboratory, actually occurred at the time of natural spawning. At First Narrows, there was usually a major spawning when the temperature reached 7-8 °C in the spring. However, in 1971, S. droebachiensis spawned when the temperature was about 6.3 °C, and temperature differences would not account for an abrupt spawning in 1973 In: "Perspectives in Marine Biology", A. A. Buzzati-Traverso (Ed.), University of California Press, Berkeley, pp. 67-36. Compared to the prolonged spawning in 1974. At Porteau, water temperatures showed a slow rise of only 0.8 °C during a two week period in which there was a complete spawning in Tonicella lineata, Tonicella insignis, and Mopalia laevior. At Botanical Beach, temperatures were a few °C warmer than at First Narrows when T. lineata, S. droebachiensis, and M. hindsii spawned, and the temperature at the time of spawning of T. lineata and K. tunicata varied several °C in different years. These observations suggest that spawning did not occur in response to a physiological threshold temperature, or to a sudden change in temperature. In 1973, S. droebachiensis and T. lineata were collected at First Narrows in late March, prior to spawning, and maintained under various temperature and light conditions: at 5.5 and 14 °C in darkness, and at 5.5 and 14 °C in light conditions similar to those in the field. These animals did not spawn when spawning occurred in the field. Similarly, S. droebachiensis, T. lineata, and T. insignis collected prior to spawning in 1974 and maintained in the laboratory did not spawn. However, animals returned to the field from the laboratory did spawn. This suggested that some condition in the field, which was not present in the laboratory, stimulated spawning, and this factor did not appear to be light or temperature. An abrupt spawning at First Narrows and Porteau in 1973 occurred at the time of the spring phytoplankton outburst, but in 1974 spawning at First Narrows was less abrupt corresponding to the slow development of the phytoplankton bloom in that year. In the laboratory, a large proportion of S. droebachiensis, T. lineata and T. insignis spawned when they were exposed to natural phytoplankton collected during the bloom with a 50 μ mesh net. This suggested that some substance bound to or released by phytoplankton stimulated spawning. For species with planktotrophic larvae the synchronization of spawning with the phytoplankton bloom increases the probability of both favourable food and temperature conditions for development or eggs, larvae, and juveniles. Gonadal growth during the coldest part of the year and spawning at the time of the spring phytoplankton bloom was found in S. droebachiensis, T. lineata, T. insignis, M. ciliata, and probably K. tunicata. This pattern is characteristic of marine invertebrates with pelagic larvae living in cold waters.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,877
Score d'incertitude au seuil0,245

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,187
Écart entre enseignants0,174 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2010
Routes d'admission1
Résumé présentoui

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