LeafByte: A mobile application that measures leaf area and herbivory quickly and accurately

被引:86
作者
Getman-Pickering, Zoe L. [1 ]
Campbell, A. [2 ]
Aflitto, Nicholas [1 ]
Grele, Ari [3 ]
Davis, Julie K. [1 ]
Ugine, Todd A. [1 ]
机构
[1] Cornell Univ, Dept Entomol, Ithaca, NY 14853 USA
[2] Blue Folder Project, Ithaca, NY USA
[3] Univ Nevada, Dept Biol, Reno, NV 89557 USA
来源
METHODS IN ECOLOGY AND EVOLUTION | 2020年 / 11卷 / 02期
关键词
ecology methods; herbivory quantification; leaf area; LeafByte; planar homography; plant-herbivore interactions;
D O I
10.1111/2041-210X.13340
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In both basic and applied studies, quantification of herbivory on foliage is a key metric in characterizing plant-herbivore interactions, which underpin many ecological, evolutionary and agricultural processes. Current methods of quantifying herbivory are slow or inaccurate. We present LeafByte, a free iOS application for measuring leaf area and herbivory. LeafByte can save data automatically, read and record barcodes, handle both light and dark coloured plant tissue, and be used non-destructively. We evaluate its accuracy and efficiency relative to existing herbivory assessment tools. LeafByte has the same accuracy as ImageJ, the field standard, but is 50% faster. Other tools, such as BioLeaf and grid quantification, are quick and accurate, but limited in the information they can provide. Visual estimation is quickest, but it only provides a coarse measure of leaf damage and tends to overestimate herbivory. LeafByte is a quick and accurate means of measuring leaf area and herbivory, making it a useful tool for research in fields such as ecology, entomology, agronomy and plant science.
引用
收藏
页码:215 / 221
页数:7
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