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
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling
Hey, we have placed the reservation for you!
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.
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?
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to 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
Predicting Common Buckthorn Distribution across Multiple Scales in New York State Using Maxent and Boosted Regression Tree Modelling

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
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
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.
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
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.
Publisher
ProQuest Dissertations & Theses
Subject
ISBN
9798351444529