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Andrew Koeser - University of Florida. Gainesville, FL, US

Andrew Koeser

Associate Professor | University of Florida

Gainesville, FL, UNITED STATES

Andrew Koeser is a research professor who investigates how to best grow trees in cities and urban areas.

Biography

Andrew Koeser focuses on promoting tree diversity, protecting old trees and creating policies that improve urban environments. Andrew works directly with arborists, landscapers, nursery growers and urban foresters to both reduce the inputs and increase the ecological benefits associated with urban and residential greening.

Areas of Expertise (11)

Arboriculture

Arbor Day

Trees

Trees and Construction

Trees and Development

Tree Laws

Tree Diversity

Tree Planting

Tree Pruning

Tree Safety

Urban Forestry

Media Appearances (3)

Study: Most trees survive winds from hurricanes as strong as Category 2; experts still urge caution

Hernando Sun  online

2022-09-25

As the heart of the Atlantic hurricane season is underway, a new University of Florida study shows most trees withstand tropical storm winds of 39 to 110 mph in category 2 hurricanes.

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These are the strongest trees to weather a storm

WJXT Channel 4  online

2022-09-12

Trees can be very dangerous during tropical storms. Tropical storm Elsa was the last one to pass through Jacksonville when it brought a tree branch down onto a car killing the driver on Roosevelt Boulevard.

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Tree diversity important to Florida’s urban areas

Bonita Springs Florida Weekly  online

2022-05-19

If you look at trees, especially in Florida’s urban areas, you’ll generally see southern live oaks or cabbage palms. Makes sense. Those are the two most common species in the Sunshine State’s cities.

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Articles (3)

Comparison between artificial and human estimates in urban tree canopy assessments

Land

Eden F. Clymire-Stern, et. al

2022-12-18

Urban tree canopy (UTC) is commonly used to assess urban forest extent and has traditionally been estimated using photo interpretation and human intelligence (HI). Artificial intelligence (AI) models may provide a less labor-intensive method to estimate urban tree canopy. However, studies on how human intelligence and artificial intelligence estimation methods compare are limited.

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Impact of model choice in predicting urban forest storm damage when data is uncertain

Landscape and Urban Planning

Casey Lambert, et. al

2022-10-01

Research that illuminates causes of urban forest storm damage is valuable for planning and management. However, logistical and safety concerns often delay post-storm surveys in urban areas. Thus, surveys may include observations with unverified sources of damage. While this uncertainty is often ignored, it can make up a high proportion of the number of damaged trees.

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Long-Term Growth of Highway Rights-of-Way Trees

Arboriculture and Urban Forestry

Allyson B. Salisbury, et. al

2022-09-01

Highway rights-of-ways (ROWs, or verges) contain multiple stressors which can influence tree growth, including compacted soils, soils with little topsoil, poor drainage, air and soil pollutants, construction activities and de-icing salts in cold climates. Yet, highway ROWs often provide ample planting area for growing trees, which can contribute to the mitigation of negative environmental impacts associated with highways.

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