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共检索到637条 ,权限内显示50条;
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Data from: Directional selection can drive the evolution of modularity in complex traits
- 负责人:
- 关键词:
- quantitative genetics;variational modularity;phenotypic correlations;P-matrix;pleiotropy;G-matrix
- DOI:
- doi:10.5061/dryad.3cb81
- 摘要:
- Modularity is a central concept in modern biology, providing a powerful framework for the study of living organisms on many organi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: General models for the spectra of surface area scaling strategies of cells and organisms: fractality, geometric dissimilitude
- 负责人:
- DOI:
- doi:10.5061/dryad.t06q9
- 摘要:
- Surface areas and volumes of biological systems—from molecules to organelles, cells, and organisms—affect their biological rates and kinetics. Ther
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Allometric scaling of metabolism, growth, and activity in whole colonies of the seed harvester ant, Pogonomyrmex californicus
- 负责人:
- DOI:
- doi:10.5061/dryad.1594
- 摘要:
- to the prediction of the additive model, colony metabolic rate allometry resembled the pattern commonly observed interspecifically for individual organisms, scaling
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Motion analysis of non-model organisms using a hierarchical model: influence of setup enclosure dimensions on gait parameters of Swinhoe
- 负责人:
- 关键词:
- generalized linear model;Bayesian statistics;PyMC3;None;Motion analysis;Tamiops swinhoei;Python
- DOI:
- doi:10.5061/dryad.10rn5
- 摘要:
- of non-model organisms—density distributions of the Bayesian GLM used here remain reliable and the hierarchical structure of the model optimally exploits all available inf
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: A dynamic model of facilitation on environmental stress gradients
- 负责人:
- Dangles, Olivier
- 关键词:
- modelling Community ecology species interactions stress gradient hypothesis herbivores facilitation
- DOI:
- doi:10.5061/dryad.1t2513c
- 摘要:
- to uncover the mechanisms responsible for observed species interaction–stress patterns. Finally, when parameterized with tuber moth demographic data, model
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Convergence in reduced body size, head size, and blood glucose in three island reptiles
- 负责人:
- DOI:
- doi:10.5061/dryad.k6k2g1q
- 摘要:
- in model organisms exhibiting small body sizes due to dietary restriction or artificial selection would also be downregulated in wild species exhibiting dwarfism
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: REvoSim: organism-level simulation of macro and microevolution
- 负责人:
- 关键词:
- REvoSim;palaeoware;digital evolution;Macroevolution;microevolution;individual-based model;speciation
- DOI:
- doi:10.5061/dryad.7tg18mb
- 摘要:
- is an individual-based model with a strong focus on computational efficiency. It can simulate populations of 105–107 digital organisms over geological timescales on a typical
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Levers and linkages: Mechanical trade-offs in a power-amplified system
- 负责人:
- DOI:
- doi:10.5061/dryad.m8q8h
- 摘要:
- Mechanical redundancy within a biomechanical system (e.g., many-to-one mapping) allows morphologically divergent organisms to maintain equivalent
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: The mechanics of predator-prey interactions: first principles of physics predict predator-prey size ratios
- 负责人:
- DOI:
- doi:10.5061/dryad.8c40mb0
- 摘要:
- of organisms) and the properties of their environment. 2. Here, we present such a model that focuses on the predation act itself. We built a Newtoni
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Phenotypic variability in unicellular organisms: from calcium signaling to social behavior
- 负责人:
- DOI:
- doi:10.5061/dryad.s0qc1
- 摘要:
- now is to find the mechanisms that underlie variability. Here, we investigated behavioural variability in a unique unicellular organism, Physarum polycephalum. We combined