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

Getman‐Pickering, Zoe L.; Campbell, Adam P.; Aflitto, Nicholas; Grele, Ari; Davis, Julie; Ugine, Todd A.

doi:10.1111/2041-210x.13340

Cited by 66 publications

(49 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, our results are within the same order of magnitude as other studies measuring invertebrate herbivory in the tundra (Barrio et al 2017;Rheubottom et al 2019). Additionally, the method described here bears some similarity to the widely used transparent grid method (Coley 1983, Pearse and Hipp 2009, Henderson and Southwood 2016, which has been shown to accurately measure insect herbivory on plants (Getman-Pickering et al 2020). The current protocol therefore provides a rather fast way of assessing the relative intensity of invertebrate herbivory that can be implemented at different sites.…”

Section: Plot-level Assessmentssupporting

confidence: 84%

Developing common protocols to measure tundra herbivory across spatial scales

et al. 2022

View full text Add to dashboard Cite

Understanding and predicting large-scale ecological responses to global environmental change requires comparative studies across geographic scales with coordinated efforts and standardized methodologies. We designed, applied and assessed standardized protocols to measure tundra herbivory at three spatial scales: plot, site (habitat), and study area (landscape). The plot and site-level protocols were tested in the field during summers 2014-2015 at eleven sites, nine of them comprising warming experimental plots included in the International Tundra Experiment (ITEX). The study area protocols were assessed during 2014-2018 at 24 study areas across the Arctic. Our protocols provide comparable and easy-to-implement methods for assessing the intensity of invertebrate herbivory within ITEX plots and for characterizing vertebrate herbivore communities at larger spatial scales. We discuss methodological constraints and make recommendations for how these protocols can be used and how sampling effort can be optimized to obtain comparable estimates of herbivory, both at ITEX sites and at large landscape scales. The application of these protocols across the tundra biome will allow characterizing and comparing herbivore communities across tundra sites and at ecologically relevant spatial scales, providing an important step towards a better understanding of tundra ecosystem responses to large-scale environmental change.

show abstract

Section: Plot-level Assessmentssupporting

confidence: 84%

Developing common protocols to measure tundra herbivory across spatial scales

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The remaining samples were deemed unacceptable due to shape distortion. The Leaf Byte app [64] iOS (iPhone Operating System) version was used for measuring leaf area. tainability 2021, 13, x FOR PEER REVIEW photographs were taken according to the Beckschäfer method [62] a during windless weather and standard overcast condition [63].…”

Section: Data Collectionmentioning

confidence: 99%

Forest Structure and Composition under Contrasting Precipitation Regimes in the High Mountains, Western Nepal

et al. 2021

View full text Add to dashboard Cite

The high mountains stretch over 20.4% of Nepal’s land surface with diverse climatic conditions and associated vegetation types. An understanding of tree species and forest structural pattern variations across different climatic regions is crucial for mountain ecology. This study strived to carry out a comparative evaluation of species diversity, main stand variables, and canopy cover of forests with contrasting precipitation conditions in the Annapurna range. Firstly, climate data provided by CHELSA version 1.2, were used to identify distinct precipitation regimes. Lamjung and Mustang were selected as two contrasting precipitation regions, and have average annual precipitation of 2965 mm and 723 mm, respectively. Stratified random sampling was used to study 16 plots, each measuring 500 m2 and near the tree line at an elevation range of 3000 to 4000 m across different precipitation conditions. In total, 870 trees were identified and measured. Five hemispherical photos using a fisheye lens were taken in each plot for recording and analyzing canopy cover. Margalef’s index was used to measure species richness, while two diversity indices: the Shannon–Wiener Index and Simpson Index were used for species diversity. Dominant tree species in both study regions were identified through the Important Value Index (IVI). The Wilcoxon rank-sum test was employed to determine the differences in forest structure and composition variables between the two precipitation regimes. In total, 13 species were recorded with broadleaved species predominating in the high precipitation region and coniferous species in the low precipitation region. Higher species richness and species diversity were recorded in the low precipitation region, whereas the main stand variables: basal area and stem density were found to be higher in the high precipitation region. Overall, an inverse J-shaped diameter distribution was found in both precipitation regions signifying uneven-aged forest. A higher proportion of leaning and buttressed trees were recorded in the high precipitation region. However, similar forest canopy cover conditions (>90%) were observed in both study regions. The findings of this research provide a comprehensive narrative of tree species and forest structure across distinct precipitation regimes, which can be crucial to administrators and local people for the sustainable management of resources in this complex region.

show abstract

“…In contrast to WinFOLIA, several leaf phenotyping freeware tools have the added benefit of being mobile applications, enabling enhanced portability relative to flatbed scanner systems. BioLeaf [19] and LeafByte [20] are freely available smartphone applications that can rapidly quantify the proportion of damage to leaves from pests. These apps considerably lower the equipment requirement for imaging leaf tissue and lower the technical learning curve for researchers and breeders that wish to approach pest damage and deterrence quantitatively.…”

Section: Phenotyping Of Individual Leavesmentioning

confidence: 99%

Image-Based, Organ-Level Plant Phenotyping for Wheat Improvement

2020

View full text Add to dashboard Cite

Wheat was one of the first grain crops domesticated by humans and remains among the major contributors to the global calorie and protein budget. The rapidly expanding world population demands further enhancement of yield and performance of wheat. Phenotypic information has historically been instrumental in wheat breeding for improved traits. In the last two decades, a steadily growing collection of tools and imaging software have given us the ability to quantify shoot, root, and seed traits with progressively increasing accuracy and throughput. This review discusses challenges and advancements in image analysis platforms for wheat phenotyping at the organ level. Perspectives on how these collective phenotypes can inform basic research on understanding wheat physiology and breeding for wheat improvement are also provided.

show abstract

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

Cited by 66 publications

References 14 publications

Developing common protocols to measure tundra herbivory across spatial scales

Developing common protocols to measure tundra herbivory across spatial scales

Forest Structure and Composition under Contrasting Precipitation Regimes in the High Mountains, Western Nepal

Image-Based, Organ-Level Plant Phenotyping for Wheat Improvement

Contact Info

Product

Resources

About