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Characterizing forest fragmentation : Distinguishing change in composition from configuration
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dc.contributor.author | Long, J.A. | |
dc.contributor.author | Nelson, T.A. | |
dc.contributor.author | Wulder, M.A. | |
dc.date.accessioned | 2014-09-17T09:01:03Z | |
dc.date.available | 2014-09-17T09:01:03Z | |
dc.date.issued | 2010-07-01 | |
dc.identifier.citation | Long , J A , Nelson , T A & Wulder , M A 2010 , ' Characterizing forest fragmentation : Distinguishing change in composition from configuration ' , Applied Geography , vol. 30 , no. 3 , pp. 426-435 . https://doi.org/10.1016/j.apgeog.2009.12.002 | en |
dc.identifier.issn | 0143-6228 | |
dc.identifier.other | PURE: 69222860 | |
dc.identifier.other | PURE UUID: 37e62ac3-c910-4ae9-b394-169ea07679e2 | |
dc.identifier.other | Scopus: 77952554518 | |
dc.identifier.uri | https://hdl.handle.net/10023/5425 | |
dc.description | This project was funded by the Government of Canada through the Mountain Pine Beetle Program, a three-year, $100 million program administered by Natural Resources Canada, Canadian Forest Service. Additional information on the Mountain Pine Beetle Program may be found at: http://mpb.cfs.nrcan.gc.ca. | en |
dc.description.abstract | Forest fragmentation can generally be considered as two components: 1) compositional change representing forest loss, and 2) configurational change or change in the arrangement of forest land cover. Forest loss and configurational change occur simultaneously, resulting in difficulties isolating the impacts of each component. Measures of forest fragmentation typically consider forest loss and configurational change together. The ecological responses to forest loss and configurational change are different, thus motivating the creation of measures capable of isolating these separate components. In this research, we develop and demonstrate a measure, the proportion of landscape displacement from configuration (P), to quantify the relative contributions of forest loss and configurational change to forest fragmentation. Landscapes with statistically significant forest loss or configurational change are identified using neutral landscape simulations to generate underlying distributions for P. The new measure, P, is applied to a forest landscape where substantial forest loss has occurred from mountain pine beetle mitigation and salvage harvesting. The percent of forest cover and six LPIs (edge density, number of forest patches, area of largest forest patch, mean perimeter area ratio, corrected mean perimeter area ratio, and aggregation index) are used to quantify forest fragmentation and change. In our study area, significant forest loss occurs more frequently than significant configurational change. The P method we demonstrate is effective at identifying landscapes undergoing significant forest loss, significant configurational change, or experiencing a combination of both loss and configurational change. | |
dc.format.extent | 10 | |
dc.language.iso | eng | |
dc.relation.ispartof | Applied Geography | en |
dc.rights | © 2010. Published by Elsevier Ltd. All rights reserved. This is the author’s version of a work that was accepted for publication in Applied Geography Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Geography, 30, July 2010 DOI http://dx.doi.org/10.1016/j.apgeog.2009.12.002 | en |
dc.subject | Forest loss | en |
dc.subject | Mountain pine beetle | en |
dc.subject | Landscape displacement | en |
dc.subject | Trajectory analysis | en |
dc.subject | Spatial pattern | en |
dc.subject | Landscape change | en |
dc.subject | G Geography (General) | en |
dc.subject | SDG 15 - Life on Land | en |
dc.subject.lcc | G1 | en |
dc.title | Characterizing forest fragmentation : Distinguishing change in composition from configuration | en |
dc.type | Journal article | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. Geography & Sustainable Development | en |
dc.contributor.institution | University of St Andrews. Bell-Edwards Geographic Data Institute | en |
dc.identifier.doi | https://doi.org/10.1016/j.apgeog.2009.12.002 | |
dc.description.status | Peer reviewed | en |
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