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Trees in a Cool Climate City: Impact...
~
Erker, Edward .
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Trees in a Cool Climate City: Impacts on Building Carbon Emissions and Growth Response to Environmental Gradients.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Trees in a Cool Climate City: Impacts on Building Carbon Emissions and Growth Response to Environmental Gradients./
Author:
Erker, Edward .
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:
104 p.
Notes:
Source: Dissertations Abstracts International, Volume: 81-08, Section: B.
Contained By:
Dissertations Abstracts International81-08B.
Subject:
Forestry. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27737322
ISBN:
9781392809686
Trees in a Cool Climate City: Impacts on Building Carbon Emissions and Growth Response to Environmental Gradients.
Erker, Edward .
Trees in a Cool Climate City: Impacts on Building Carbon Emissions and Growth Response to Environmental Gradients.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 104 p.
Source: Dissertations Abstracts International, Volume: 81-08, Section: B.
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2020.
This item must not be sold to any third party vendors.
Urban trees can provide important ecosystem services and disservices for city dwellers, but their growth and function is in turn altered by the urban environment humans create. We explored aspects of these relationships in the chapters below. First, we developed a method for mapping urban tree canopy cover using NAIP which is freely available for the conterminous US. Second, we used this tree canopy map in conjunction with energy use data for thousands of single family residential buildings in Madison, WI to show that greater tree cover was associated with an increase in energy use and the associated carbon emissions. Updating on past simulation research, we showed that trees likely increase building energy use and carbon emissions in many cool climate regions, not just Madison. Third, we derived tree height growth rates from multiple years of bias-corrected LiDAR and showed that growth rates could be largely be explained by initial tree height and genus, but foliar canopy traits derived from AVIRIS-NG imaging spectroscopy could explain much of the same variability in growth if genus information was unavailable. Urban tree height growth also varied significantly with urban environmental variables, being greatly reduced for street trees surrounded by high amounts of impervious cover.
ISBN: 9781392809686Subjects--Topical Terms:
895157
Forestry.
Subjects--Index Terms:
Carbon emissions
Trees in a Cool Climate City: Impacts on Building Carbon Emissions and Growth Response to Environmental Gradients.
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Urban trees can provide important ecosystem services and disservices for city dwellers, but their growth and function is in turn altered by the urban environment humans create. We explored aspects of these relationships in the chapters below. First, we developed a method for mapping urban tree canopy cover using NAIP which is freely available for the conterminous US. Second, we used this tree canopy map in conjunction with energy use data for thousands of single family residential buildings in Madison, WI to show that greater tree cover was associated with an increase in energy use and the associated carbon emissions. Updating on past simulation research, we showed that trees likely increase building energy use and carbon emissions in many cool climate regions, not just Madison. Third, we derived tree height growth rates from multiple years of bias-corrected LiDAR and showed that growth rates could be largely be explained by initial tree height and genus, but foliar canopy traits derived from AVIRIS-NG imaging spectroscopy could explain much of the same variability in growth if genus information was unavailable. Urban tree height growth also varied significantly with urban environmental variables, being greatly reduced for street trees surrounded by high amounts of impervious cover.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27737322
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