Forest Stands

Forest stands are distinct areas of forest containing trees that share relatively similar species composition, age, structure, and growing conditions. Their characteristics develop through interactions among tree growth, competition for light, water, and nutrients, natural disturbances, and management practices such as planting, thinning, or harvesting. In environmental research, forest stands provide a practical scale for assessing carbon storage, biodiversity, habitat quality, productivity, and ecosystem change. Comparing stands across soil types, climates, or disturbance histories helps researchers understand forest dynamics and supports decisions about conservation, restoration, sustainable timber production, and adaptation to environmental change.

Forest Stands - Related Videos

Research

JoVE Journal - Environment
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Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

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Cited by 19 •

2016

Repeated soil sampling has recently been shown to be an effective way to monitor forest soil change over years and decades. To support its use, a protocol is presented that synthesizes the latest information on soil resampling methods to aid in the design and implementation of successful soil monitoring programs.

Education

JoVE Science Education - Physics

Standing Waves

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2023

Source: Arianna Brown, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA Standing waves, or stationary waves, are waves that appear not to propagate and are produced by the interference of two waves traveling in opposite directions with the same frequency and amplitude. These waves appear to vibrate up and down with no linear movement and are most easily identified in vibrating finite media like a plucked guitar string,...

Research

JoVE Journal - Environment
Free Sample

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

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Cited by 1 •

2025

Recent advancements in remotely piloted aircraft systems (RPAS) allow sub-meter resolution, ideal for forest recovery monitoring. Integrating artificial intelligence (AI) enables deeper insights from large remotely sensed datasets. This protocol improves monitoring by supporting more efficient assessment and management of forested lands recovering from disturbance.

Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy

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2017

Low pressure scanning electron microscopy in a water vapor ambient is used to machine nanoscale to microscale features in carbon nanotube forests.

Simulating Impacts of Ice Storms on Forest Ecosystems

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Cited by 6 •

2020

Ice storms are important weather events that are challenging to study because of difficulties in predicting their occurrence. Here, we describe a novel method for simulating ice storms that involves spraying water over a forest canopy during sub-freezing conditions.

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