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Copyright 2013 Austin V. Davis TESTING LANDIS-‐II TO STOCHASTICALLY MODEL SPATIALLY ABSTRACT VEGETATION TRENDS IN THE CONTIGUOUS UNITED STATES By Austin V. Davis A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE (GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY) December 2013
Object Description
Title | Testing LANDIS-II to stochastically model spatially abstract vegetation trends in the contiguous United States |
Author | Davis, Austin V. |
Author email | austinvdavis@gmail.com;austinda@usc.edu |
Degree | Master of Science |
Document type | Thesis |
Degree program | Geographic Information Science and Technology |
School | College of Letters, Arts and Sciences |
Date defended/completed | 2013-08-06 |
Date submitted | 2013-09-13 |
Date approved | 2013-09-13 |
Restricted until | 2013-09-13 |
Date published | 2013-09-13 |
Advisor (committee chair) | Longcore, Travis R. |
Advisor (committee member) |
Kemp, Karen K. Pultar, Edward |
Abstract | The second generation of the Landscape Disturbance and Succession model (LANDIS-II) is frequently used to understand ecological succession on the landscape. LANDIS-II is an important simulation tool but it can be difficult to parameterize properly in data-poor regions. By examining the spatial sensitivity of LANDIS-II, the model’s users will have an improved understanding of the data required to properly implement the model. Existing studies have tested the ecological sensitivity of LANDIS-II in local geographic settings, but a robust test of the model's spatial sensitivity has not been completed. This research tested the spatial sensitivity of the LANDIS-II spatially stochastic landscape model using a broad set of vegetation communities found within the contiguous United States. Thirty spatially explicit, equal-area, and area-weighted iterations of the spatial parameters of the LANDIS-II model were run for a series of localities in the contiguous United States, where the areas were defined by the spatial composition of vegetation community values. Ecological attributes were derived from the NatureServe Ecological Systems of the United States dataset. A test of the spatial input parameters of LANDIS-II demonstrated that the model is aspatial under certain conditions. Furthermore, vegetation community interactions may be effectively represented in LANDIS-II by a series of spatially stochastic input rasters; such that assessing a locality’s vegetation trend is possible even when spatially explicit land classification information is unavailable, thereby facilitating long-term environmental planning in data-poor environments. |
Keyword | LANDIS-II; spatial modeling; spatial sensitivity testing |
Language | English |
Format (imt) | application/pdf |
Part of collection | University of Southern California dissertations and theses |
Publisher (of the original version) | University of Southern California |
Place of publication (of the original version) | Los Angeles, California |
Publisher (of the digital version) | University of Southern California. Libraries |
Provenance | Electronically uploaded by the author |
Type | texts |
Legacy record ID | usctheses-m |
Contributing entity | University of Southern California |
Rights | Davis, Austin V. |
Physical access | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
Repository name | University of Southern California Digital Library |
Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
Repository email | cisadmin@lib.usc.edu |
Filename | etd-DavisAusti-2040.pdf |
Archival file | uscthesesreloadpub_Volume7/etd-DavisAusti-2040.pdf |
Description
Title | Page 1 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
Full text | Copyright 2013 Austin V. Davis TESTING LANDIS-‐II TO STOCHASTICALLY MODEL SPATIALLY ABSTRACT VEGETATION TRENDS IN THE CONTIGUOUS UNITED STATES By Austin V. Davis A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE (GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY) December 2013 |