Incorporating Climatological Techniques To Improve Tree-Ring Site Selection In Complex Terrain
dc.contributor.author | Wise, Erika K. | |
dc.date.accessioned | 2017-02-22T18:13:00Z | |
dc.date.available | 2017-02-22T18:13:00Z | |
dc.date.issued | 2011-01 | |
dc.identifier.citation | Wise, E.K., 2011. Incorporating climatological techniques to improve tree-ring site selection in complex terrain. Tree-Ring Research 67(1):51-55. | en |
dc.identifier.issn | 2162-4585 | |
dc.identifier.issn | 1536-1098 | |
dc.identifier.uri | http://hdl.handle.net/10150/622637 | |
dc.description.abstract | Dendroclimatologists often approach field work with the intent of reconstructing a particular climate variable (e.g. temperature, streamflow, precipitation). Although guidelines exist for species and site selection, isolating the signal of interest is difficult in areas with complex terrain or a lack of ideal sites. In this case study, I suggest climatological techniques for a more efficient sampling scheme and apply these techniques to identify criteria for selecting sites sensitive to winter precipitation in the north-central Rocky Mountains. These techniques include examining factors influencing the regional response of tree growth to climate by utilizing the International Tree-Ring Databank (ITRDB), using eigenvector analyses to identify modes of variability between sites, and delineating climate regions based on the variable of interest through climate regionalization. Results suggest that low- or mid-elevation Pseudotsuga menziesii sites should be targeted for maximizing the winter precipitation signal in the case study area. The season of precipitation impacting growth was found to be a major component of the overall variability between sites. | |
dc.language.iso | en_US | en |
dc.publisher | Tree-Ring Society | en |
dc.relation.url | http://www.treeringsociety.org | en |
dc.rights | Copyright © Tree-Ring Society. All rights reserved. | en |
dc.subject | Dendrochronology | en |
dc.subject | Tree Rings | en |
dc.subject | Regionalization | en |
dc.subject | Site Selection | en |
dc.subject | Rocky Mountains | en |
dc.subject | Climate | en |
dc.subject | Western United States | en |
dc.subject | Winter Precipitation | en |
dc.subject | ITRDB | en |
dc.subject | Dendroclimatology | en |
dc.title | Incorporating Climatological Techniques To Improve Tree-Ring Site Selection In Complex Terrain | en_US |
dc.type | Article | en |
dc.type | text | en |
dc.contributor.department | Department of Geography, University of North Carolina at Chapel Hill | en |
dc.identifier.journal | Tree-Ring Research | en |
dc.description.collectioninformation | This item is part of the Tree-Ring Research (formerly Tree-Ring Bulletin) archive. For more information about this peer-reviewed scholarly journal, please email the Editor of Tree-Ring Research at editor@treeringsociety.org. | en |
refterms.dateFOA | 2018-09-11T17:43:02Z | |
html.description.abstract | Dendroclimatologists often approach field work with the intent of reconstructing a particular climate variable (e.g. temperature, streamflow, precipitation). Although guidelines exist for species and site selection, isolating the signal of interest is difficult in areas with complex terrain or a lack of ideal sites. In this case study, I suggest climatological techniques for a more efficient sampling scheme and apply these techniques to identify criteria for selecting sites sensitive to winter precipitation in the north-central Rocky Mountains. These techniques include examining factors influencing the regional response of tree growth to climate by utilizing the International Tree-Ring Databank (ITRDB), using eigenvector analyses to identify modes of variability between sites, and delineating climate regions based on the variable of interest through climate regionalization. Results suggest that low- or mid-elevation Pseudotsuga menziesii sites should be targeted for maximizing the winter precipitation signal in the case study area. The season of precipitation impacting growth was found to be a major component of the overall variability between sites. |