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What is the matter with the gravity hypothesis?

2007· article· en· W2045586197 on OpenAlexaff
Yoni Brandt, Maydianne C. B. Andrade

Bibliographic record

VenueFunctional Ecology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRebuttalSexual dimorphismClimbingMuscle powerPower (physics)AnatomyScalingSarcomereMuscle massBiologyPhysicsZoologyMathematicsPhysical medicine and rehabilitationGeometryEcologyMyocyteMedicineQuantum mechanicsEndocrinology

Abstract

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Although gravity undoubtedly exerts substantial effects on locomotor performance, we dispute the arguments made in defence of the Gravity Hypothesis (GH) in Moya-Laraño et al.'s Forum contribution. Moya-Laraño et al. presented a list of supposed errors in rebuttal of our paper (Brandt & Andrade 2007), yet failed to address core questions we raised as objections to the GH for sexual size dimorphism (SSD): (i) Why should muscle cross-sectional area be proportional to power? (ii) Why do so many studies fail to find a size-dependent decline in mass specific power? (iii) Why are there no studies showing an inverse relationship between size and climbing speed? In the absence of satisfactory answers to these questions, we remain unconvinced that the GH is a good explanation for patterns of sexual size dimorphism in spiders. Below, we counter some of the major points in their rebuttal. First, Moya-Laraño et al. argue that because muscles can activate a variable percentage of their fibres, our assumption that force should be proportional to muscle cross-sectional area is not realistic. However, the assumption that power output limits climbing speed, an assumption shared by both models, implies maximal muscle performance, which requires activation of all muscle fibres. The scaling of maximum force to muscle cross-sectional area arises from the parallel arrangement of muscle fibres and the serial arrangement of sarcomeres, as outlined in any modern physiology textbook (e.g. Randall, Burggren & French 2002, pp. 368–369). Moya-Laraño et al. are aware of this, since they write: ‘the force produced per muscle cross section has been shown to be constant across a wide range of body sizes and animal taxa (Medler 2002)’. Second, they argue that muscle power output should show an inverse relationship with size, as predicted by the GH. Medler's (2002) meta-analysis found that muscle contraction velocity is inversely related to size. Given that power is a product of force and contraction velocity, Moya-Laraño et al. proposed that power output should decline with size. However, both force and velocity change dynamically during the cyclical contractions typical of active locomotor muscles, complicating predictions about the scaling of power output. Importantly, power output is restricted to the period of active muscle contraction (Josephson 1993). As animal size decreases, muscle contraction frequencies increase, and the active contraction phase occupies an ever smaller proportion of the contraction cycle, thereby preventing power output from increasing as size decreases (Schilder & Marden 2004). Regardless of predictive models, empirical studies repeatedly find that, contrary to the GH, mass-specific mechanical power output does not vary with size (Marden 1987; Johnson et al. 1993; Full 1997; Schilder & Marden 2004). Third, Moya-Laraño et al. argue that their model is supported by a recent multi-species study in which climbing speed exhibits a curvilinear relationship with size, with a maximum at 42·5 mg (Foellmer & Moya-Laraño 2007). However, these results are not consistent with the inverse relationship predicted by the GH. Moreover, this analysis included uncontrolled variables likely to influence climbing speed, such as variation in reproductive status, sex, instar and phylogenetic relationships. For example, the heaviest individuals in their sample comprised gravid females, which are likely to be slow climbers due to the weight of eggs they carry. If we accept the suggestion that optimal climbing speed arises at 42·5 mg, then we are left with no explanation for SSD in species in which the females are larger than the optimal climbing size and males are considerably smaller than the optimum, as seen in many high habitat species, (Foellmer & Moya-Laraño 2007). Similarly, in species with females smaller than the optimal climbing size, males should be selected to be larger than females. Such male-biased SSD in spiders is very rare (Foellmer & Moya-Laraño 2007). Finally, the authors suggest that a lack of sufficient variation could account for our failure to detect an inverse relationship between body size and climbing speed. However, this claim ignores the substantial size variation in our two samples: CVbody mass = 32% and 52%, variation that allowed us to detect a significant positive effect of size on horizontal running speed. The GH (Moya-Laraño, Halaj & Wise 2002) is based on an erroneous biomechanical model, runs counter to numerous empirical studies in which mass-specific mechanical power output was found to be independent of size, and its prediction that climbing speed should be inversely related to size has no empirical support. We therefore maintain that selection for vertical climbing speed in males cannot account for patterns of SSD in spiders.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.206
Teacher spread0.183 · 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 teacher head, not a consensus.

Study designObservational
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

Citations13
Published2007
Admission routes1
Has abstractyes

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