کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6369301 1623814 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Are leaves optimally designed for self-support? An investigation on giant monocots
ترجمه فارسی عنوان
آیا برگ به طور مطلوب برای پشتیبانی خود طراحی شده است؟ تحقیق در مورد تک شاخه های غول پیکر
کلمات کلیدی
پالمس، بهینه بیومکانیک، تخصیص زیست توده، خود پشتیبان،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


- Large leaves are optimally designed to self-support and intercept light efficiently contrary to small leaves.
- The optimal design of leaf with constraints on biomass and mechanics is theoretically inspected.
- Measurements on palms have been conducted.
- Leaf design for light interception is discussed.

Leaves are the organs that intercept light and create photosynthesis. Efficient light interception is provided by leaves oriented orthogonal to most of the sun rays. Except in the polar regions, this means orthogonal to the direction of acceleration due to gravity, or simply horizontal. The leaves of almost all terrestrial plants grow in a gravity field that tends to bend them downward and therefore may counteract light interception. Plants thus allocate biomass for self-support in order to maintain their leaves horizontal. To compete with other species (inter-species competition), as well as other individuals within the same species (intra-species competition), self-support must be achieved with the least biomass produced. This study examines to what extent leaves are designed to self-support. We show here that a basic mechanical model provides the optimal dimensions of a leaf for light interception and self-support. These results are compared to measurements made on leaves of various giant monocot species, especially palm trees and banana trees. The comparison between experiments and model predictions shows that the longer palms are optimally designed for self-support whereas shorter leaves are shaped predominantly by other parameters of selection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 396, 7 May 2016, Pages 125-131
نویسندگان
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