کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5921604 1571001 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling nutrition across organizational levels: From individuals to superorganisms
ترجمه فارسی عنوان
مدل سازی تغذیه در سطوح سازمانی: از افراد تا سوپر ارگانیسم ها
کلمات کلیدی
رفتار جمعی، تقسیم کار، چارچوب هندسی مدل مبتنی بر فرد محیط زیست تغذیه، پرورش دهندگان اجتماعی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش حشره شناسی
چکیده انگلیسی


- We address the problem of nutrient regulation by social organisms.
- We develop a modelling platform integrating concepts of nutritional ecology into individual-based models.
- We use our theoretical framework to re-explore case studies in insects and spiders and present novel testable predictions.
- We discuss how such approach could be expanded to all socially foraging animals in future research.

The Geometric Framework for nutrition has been increasingly used to describe how individual animals regulate their intake of multiple nutrients to maintain target physiological states maximizing growth and reproduction. However, only a few studies have considered the potential influences of the social context in which these nutritional decisions are made. Social insects, for instance, have evolved extreme levels of nutritional interdependence in which food collection, processing, storage and disposal are performed by different individuals with different nutritional needs. These social interactions considerably complicate nutrition and raise the question of how nutrient regulation is achieved at multiple organizational levels, by individuals and groups. Here, we explore the connections between individual- and collective-level nutrition by developing a modelling framework integrating concepts of nutritional geometry into individual-based models. Using this approach, we investigate how simple nutritional interactions between individuals can mediate a range of emergent collective-level phenomena in social arthropods (insects and spiders) and provide examples of novel and empirically testable predictions. We discuss how our approach could be expanded to a wider range of species and social systems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Insect Physiology - Volume 69, October 2014, Pages 2-11
نویسندگان
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