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Record W2193759235 · doi:10.1017/cbo9781139192637.003

Life histories, reproduction, and morphogenesis

2014· book-chapter· en· W2193759235 on OpenAlexaff
Catriona L. Hurd, Paul J. Harrison, Kai Bischof, Christopher S. Lobban

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsReproductionMorphogenesisBiologyEcologyGeneticsGene

Abstract

fetched live from OpenAlex

Introduction The basic patterns of alternation of sporophyte and gametophyte must be regarded as a theme on which many variations are played (Fig. 2.1). Each generation may reproduce itself asexually, and sexual reproduction should be taken to include meiosporogenesis as well as gametogenesis and mating (Clayton 1988). Asexual reproduction allows an economical population increase but no genetic mixing, whereas sexual reproduction allows genetic mixing but is more costly because of the waste of gametes that fail to mate (Clayton 1981; Russell 1986; Santelices 1990). Most seaweeds use both means of reproduction, and, as Russell (1986) has noted, where there are isogametes, these can function equally as asexual swarmers. Vegetative reproduction by “multicellular propagules”, defined by Cecere et al . (2011) as “a vegetative, multicellular structure which detaches from the parent thallus and gives rise to a new individual”, is also common, for example Halimeda (Walters et al . 2002). However, their roles in species’ dispersal, and forming overwintering and resting “organs” that allow the survival of unfavorable environmental conditions, is unknown (Russell 1986; Cecere et al . 2011). Clonal seaweeds may spread by stolons and/or rhizomes, giving a significant competitive edge in the space race (sec. 1.2.3, 4.2.3). Some floating algal populations depend entirely on vegetative reproduction by fragmentation (sec. 3.3.7). Culture studies are critical in establishing the range of possible life histories that can occur. Sufficient variations have been discovered in the basic pattern – between and within species – that today’s generalizations must be viewed only as working hypotheses. New variations in what are considered to be well-known life cycles are regularly uncovered. For example, male gametophytes of Laminaria digitata can reproduce themselves via fragmentation (Destombe et al . 2011). Although a basic alternation of a sporophyte (typically diploid) and a gametophyte (typically haploid) is common among seaweeds various extras and shortcuts are known (Fig. 2.1). Indeed, a better generalization may be that almost any alternation is possible, and even no alternation at all. Moreover, the term “alternation” is a misnomer, in that it implies only two phases and a regular progression from one to the other; clearly that is not always the case (e.g. Scytosiphon , Fig. 2.2). Maggs (1988, p. 488) concluded that “life-history patterns seem to be more labile than morphological features, and the role of life-history variability in speciation, and in ecological success, should not be underestimated”.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.152
Teacher spread0.136 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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