| dc.identifier.uri | http://hdl.handle.net/11401/77393 | |
| dc.description.sponsorship | This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. | en_US |
| dc.format | Monograph | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Dissertation | |
| dcterms.abstract | The establishment and spread of non-native invasive species harms native ecosystems, human health, and economic activity. Understanding factors leading to successful species invasions helps resource managers in their task of preventing future invasions. A multitude of factors have been shown to influence species spread in an introduced range, including biotic characteristics, such as survival and reproductive output, and abiotic characteristics, such as changes in environmental conditions. These findings suggest that patterns of spread result from interactions among several processes both at the species and the landscape levels. Different ecological models are used to investigate processes at these separate levels; however new model integration methods allow examining the effects of multiple processes simultaneously. In this dissertation, I developed an integrated modeling framework to investigate the spatial spread for the invasive plant Frangula alnus and to identify the conditions that resulted in the observed pattern of its spread. I collected historic occurrence records to establish the pattern of spatial spread throughout North America during the 20th century. I developed a global sensitivity analysis method to find model parameter values that best fit this observed pattern and to measure the effect of parameter uncertainty on model fit. This required estimates of both parameter values and parameter uncertainty, which I made by investigating key demographic processes of F. alnus during a multi-year field study. Model parameter values directly represent ecological processes. I found that simulations parameterized with moderate fecundity, high survival, and extensive long- distance dispersal values replicated the observed pattern. Strong interaction effects between fecundity and long-distance dispersal indicate that a successful invasion required both of these processes. Lastly, long-distance dispersal was most likely facilitated by human transport, demonstrating the important role humans often play in species invasions. Though applied to a single species in this dissertation, this modeling framework is general and can be easily applied to other species. Further, these results provide an indication of processes that likely contribute to plant invasions more broadly, which can be used to inform invasive species management and prevention. | |
| dcterms.available | 2017-09-20T16:52:37Z | |
| dcterms.contributor | Graham, Catherine | en_US |
| dcterms.contributor | Akcakaya, Haluk R | en_US |
| dcterms.contributor | Gurevitch, Jessica | en_US |
| dcterms.contributor | Knight, Tiffany. | en_US |
| dcterms.creator | AIELLO-LAMMENS, MATTHEW Edward | |
| dcterms.dateAccepted | 2017-09-20T16:52:37Z | |
| dcterms.dateSubmitted | 2017-09-20T16:52:37Z | |
| dcterms.description | Department of Ecology and Evolution. | en_US |
| dcterms.extent | 201 pg. | en_US |
| dcterms.format | Application/PDF | en_US |
| dcterms.format | Monograph | |
| dcterms.identifier | http://hdl.handle.net/11401/77393 | |
| dcterms.issued | 2014-12-01 | |
| dcterms.language | en_US | |
| dcterms.provenance | Made available in DSpace on 2017-09-20T16:52:37Z (GMT). No. of bitstreams: 0
Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | Ecology | |
| dcterms.subject | Frangula alnus, invasion biology, population modeling, species distributions | |
| dcterms.title | Patterns and Processes of the Invasion of Frangula alnus: An Integrated Model Framework | |
| dcterms.type | Dissertation | |
