Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling
by
Colby, Sean
in
Biology
/ Ecology
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling
by
Colby, Sean
in
Biology
/ Ecology
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling
Dissertation
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Common Buckthorn (Rhamnus cathartica) is a woody plant species that is a prolific invader of half of North American including much of New York State. While some aspects of Buckthorn’s ecological niche have been revealed through floral surveys and mesocosm experiments, Buckthorn’s presence has not been statistically evaluated based upon its environmental explanatory variables. In order to better understand Buckthorn’s response to environmental variables as well as determine the roles that Habitat Suitability, Propagule Pressure, and Invasional Meltdown have on influencing Buckthorn’s distribution, it is imperative to generate species distribution models. Within this study, Boosted Regression Tree modelling of Buckthorn abundance in 160 plots around Geneseo, NY and Maxent modelling of Buckthorn presence in 512,327 plots across New York State were applied to test Buckthorn’s response to environmental variables. Additionally, paired-plots near Geneseo, NY were compared to determine which in site factors best control Buckthorn’s relative abundance. The results of the study show that Buckthorn is most likely to be present in moist, well-drained, flat areas that are closer to disturbed/developed areas, and that Buckthorn’s distribution is best explained by the theories of Invasional Meltdown and Propagule Pressure. As for Buckthorn’s relative abundance within site, the results indicate that a complex combination of higher competitive ability mixed with increased Propagule Pressure best explains the higher amount of Buckthorn. Overall, the results of both models indicate that the areas of highest concern would be near to major cities and highways in flat moist areas, especially where the native ash trees have been decimated by emerald ash borer. Despite high agreement between model environmental explanatory variables, Buckthorn predicted presence greatly differs from between geographic scales in which the NYS-scale model is not able to accurately predict Buckthorn Presence at the smaller Geneseo-scale and thus management would require additional survey efforts at the plot level.
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.