Treeline monitoring in the San Juan Mountains

December, 2014. Includes bibliographical references (pages 12-13). Temperatures in the San Juan Mountain region have risen approximately 1.8°F over the last 30 years, primarily after 1990, and are projected to continue warming. As temperatures rise we expect increased rates of tree growth and tree e...

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Main Authors: Decker, Karin, Rondeau, Renée Jane, Fink, Michelle
Format: Text
Language:English
Published: Colorado State University. Libraries 2007
Subjects:
Online Access:http://hdl.handle.net/10217/89259
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record_format openpolar
spelling ftcolostateunidc:oai:mountainscholar.org:10217/89259 2023-05-15T18:40:32+02:00 Treeline monitoring in the San Juan Mountains Decker, Karin Rondeau, Renée Jane Fink, Michelle San Juan Mountains (Colo. and N.M.) 2007-01-03T06:42:57Z born digital reports application/pdf http://hdl.handle.net/10217/89259 English eng eng Colorado State University. Libraries Colorado Natural Heritage Program Publications - Colorado Natural Heritage Program http://hdl.handle.net/10217/89259 mountain ecosystem growing season GIS analysis alpine tundra alpine zone detailed mapping subalpine zone San Juan alpine Text 2007 ftcolostateunidc 2023-03-02T18:32:09Z December, 2014. Includes bibliographical references (pages 12-13). Temperatures in the San Juan Mountain region have risen approximately 1.8°F over the last 30 years, primarily after 1990, and are projected to continue warming. As temperatures rise we expect increased rates of tree growth and tree establishment at the subalpine/alpine ecotone (treeline). We wanted to discern if upper treeline changes could already be detected through remote sensing. We compared aerial photographs from 1951 and 2011 for 8 San Juan mountain peaks. The images were georeferenced and virtual transects were created to help establish position of treeline in each sample year. We found that the treeline has not moved, but that tree density has increased. Therefore, the difference between 1951 and 2011 treeline was calculated by determining differences in tree density within the area delimited as treeline. Differences in shadows between images were corrected for by examining shadows of immutable objects and calculating a correction factor. Detected differences varied widely, from 2 - 27% increase in tree density (mean 12%) over the last 60 years. We conclude that treeline changes can be detected, although the rate of change is slow and variable. The high variability may be due to aspect, with the wetter aspects increasing faster. We also suggest that this cost-effective remote sensing technique could be a useful monitoring tool for determining landscape changes in areas that are hard to access. Text Tundra Digital Collections of Colorado (Colorado State University) San Juan
institution Open Polar
collection Digital Collections of Colorado (Colorado State University)
op_collection_id ftcolostateunidc
language English
topic mountain ecosystem
growing season
GIS analysis
alpine tundra
alpine zone
detailed mapping
subalpine zone
San Juan alpine
spellingShingle mountain ecosystem
growing season
GIS analysis
alpine tundra
alpine zone
detailed mapping
subalpine zone
San Juan alpine
Decker, Karin
Rondeau, Renée Jane
Fink, Michelle
Treeline monitoring in the San Juan Mountains
topic_facet mountain ecosystem
growing season
GIS analysis
alpine tundra
alpine zone
detailed mapping
subalpine zone
San Juan alpine
description December, 2014. Includes bibliographical references (pages 12-13). Temperatures in the San Juan Mountain region have risen approximately 1.8°F over the last 30 years, primarily after 1990, and are projected to continue warming. As temperatures rise we expect increased rates of tree growth and tree establishment at the subalpine/alpine ecotone (treeline). We wanted to discern if upper treeline changes could already be detected through remote sensing. We compared aerial photographs from 1951 and 2011 for 8 San Juan mountain peaks. The images were georeferenced and virtual transects were created to help establish position of treeline in each sample year. We found that the treeline has not moved, but that tree density has increased. Therefore, the difference between 1951 and 2011 treeline was calculated by determining differences in tree density within the area delimited as treeline. Differences in shadows between images were corrected for by examining shadows of immutable objects and calculating a correction factor. Detected differences varied widely, from 2 - 27% increase in tree density (mean 12%) over the last 60 years. We conclude that treeline changes can be detected, although the rate of change is slow and variable. The high variability may be due to aspect, with the wetter aspects increasing faster. We also suggest that this cost-effective remote sensing technique could be a useful monitoring tool for determining landscape changes in areas that are hard to access.
format Text
author Decker, Karin
Rondeau, Renée Jane
Fink, Michelle
author_facet Decker, Karin
Rondeau, Renée Jane
Fink, Michelle
author_sort Decker, Karin
title Treeline monitoring in the San Juan Mountains
title_short Treeline monitoring in the San Juan Mountains
title_full Treeline monitoring in the San Juan Mountains
title_fullStr Treeline monitoring in the San Juan Mountains
title_full_unstemmed Treeline monitoring in the San Juan Mountains
title_sort treeline monitoring in the san juan mountains
publisher Colorado State University. Libraries
publishDate 2007
url http://hdl.handle.net/10217/89259
op_coverage San Juan Mountains (Colo. and N.M.)
geographic San Juan
geographic_facet San Juan
genre Tundra
genre_facet Tundra
op_relation Publications - Colorado Natural Heritage Program
http://hdl.handle.net/10217/89259
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