ArticleConservation physiology2019
Modelling temperature and humidity effects on web performance: implications for predicting orb-web spider (
Article in Conservation physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Comparing Spider Sampling Methods in a Eucalypt Forest in Wet and Dry Conditions.Animals : an open access journal from MDPI · 2026Article
- Drivers of Centipede and Spider Diversity and Biomass Along an Elevation Gradient on Changbai Mountain, China.Ecology and evolution · 2025Article
- Understanding Trophic Interactions in a Warming World by Bridging Foraging Ecology and Biomechanics with Network Science.Integrative and comparative biology · 2024Article
- Investigating the Influence of Anthropogenic Activities on Behavioral Changes of an Orb Web Spider (Insects · 2024Article
- Web architecture, behavior, and predatory potential of Larinia chloris from rice fields (Araneae: Araneidae).Journal of insect science (Online) · 2023Article
- Review
- Silkworm and spider silk electrospinning: a review.Environmental chemistry letters · 2021Review
- The impacts of climate change on the biomechanics of animals: Themed Issue Article: Biomechanics and Climate Change.Conservation physiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotypic features extending beyond the body, or EPs, may vary plastically across environments. EP constructs, such as spider webs, vary in property across environments as a result of changes to the physiology of the animal or interactions between the environment and the integrity of the material from which the EP is manufactured. Due to the complexity of the interactions between EP constructs and the environment, the impact of climate change on EP functional integrity is poorly understood. Here we used a dynamic model to assess how temperature and humidity influence spider web major ampullate (MA) silk properties. MA silk is the silk that absorbs the impact of prey striking the web, hence our model provides a useful interpretation of web performance over the temperature (i.e. 20-55°C) and humidity (i.e. 15-100%) ranges assessed. Our results showed that extremely high or low humidity had direct negative effects on web capture performance, with changes in temperature likely having indirect effects. Undeniably, the effect of temperature on web architecture and its interactive effect with humidity on web tension and capture thread stickiness need to be factored into any further predictions of plausible climate change impacts. Since our study is the first to model plasticity in an EP construct's functionality and to extrapolate the results to predict climate change impacts, it stands as a template for future studies that endeavour to make predictions about the influence of climate change on animal EPs.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.