Woody Area Index

Woody Area Index (WAI) is a measure of the projected area of trunks, branches, and other woody elements per unit of ground area, providing a standardized description of woody vegetation structure and density. It is estimated by detecting woody components and gaps within a canopy, then relating their projected area to the underlying ground surface through field measurements, imaging, or three-dimensional sensing. WAI complements leaf-based indices by characterizing the nonfoliar structure of forests, shrublands, and other ecosystems. Researchers use it to compare vegetation profiles, monitor structural change, and improve analyses of light transmission, habitat conditions, and ecosystem function.

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Research

JoVE Journal - Environment

How to Create Conditioned Taste Aversion for Grazing Ground Covers in Woody Crops with Small Ruminants

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Cited by 4 •

2016

Feeding behavior preferences in livestock can be modified to implement a grazing management plan in woody crops. Here, we present a protocol to show a lithium chloride dose after eating a new plant that induces conditioned taste aversion.

Xylem Water Distribution in Woody Plants Visualized with a Cryo-scanning Electron Microscope

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Cited by 11 •

2019

Observing the water distribution within the xylem provides significant information regarding water flow dynamics in woody plants. In this study, we demonstrate the practical approach to observe xylem water distribution in situ by using a cryostat and cryo-SEM, which eliminates artifactual changes in the water status during sample preparation.

A Venturi Effect Can Help Cure Our Trees

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Cited by 24 •

2013

Compared to the more traditional hole-based methods, most of which require the tree to be drilled, tools with lenticular blades transform the basics of endotherapy easing the closure of the wound and allowing the natural uptake of the solutions.

Modifying the Bank Erosion Hazard Index (BEHI) Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio

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Cited by 5 •

2015

Streambank erosion potential can be evaluated and ranked using David Rosgen’s Bank Erosion Hazard Index (BEHI), however this protocol has significant limitations. Here we present protocol modifications to address time constraints, allow nonprofessionals to complete accurate assessments, and account for non-alluvial stream conditions in Northeast Ohio.

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

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Cited by 62 •

2013

High resolution x-ray computed tomography (HRCT) is a non-destructive diagnostic imaging technique that can be used to study the structure and function of plant vasculature in 3D. We demonstrate how HRCT facilitates exploration of xylem networks across a wide range of plant tissues and species.

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