Utilizing Variable Transplant Methods on the Endangered Pima Pineapple Cactus (Coryphantha scheeri var. robustispina)
Poster exhibited at GPSC Student Showcase, February 24th, 2016, University of Arizona. === There has been little research carried out which assesses the ability or inability of the Pima pineapple cactus (Coryphantha scheeri var. robustispina) to be transplanted successfully, and what a successful tr...
Main Authors: | , |
---|---|
Other Authors: | |
Language: | en_US |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10150/604434 http://arizona.openrepository.com/arizona/handle/10150/604434 |
Summary: | Poster exhibited at GPSC Student Showcase, February 24th, 2016, University of Arizona. === There has been little research carried out which assesses the ability or inability of the Pima pineapple cactus (Coryphantha scheeri var. robustispina) to be transplanted successfully, and what a successful transplant entails. From what little research has been done, experiments have demonstrated low-levels of survival, and determinate variables remain largely unknown. As a result, the U.S. Fish and Wildlife Service (USFWS) does not consider transplanting as a viable conservation measure. This study monitors [a population] of individual Pima pineapple cactus (PPC) transplanted in 2014 and distributed along the natural gas pipeline put in place by Kinder Morgan Inc. southwest of Tucson, Arizona, as well as other data sets from past transplant experiments. This post-transplant monitoring, in addition to a thorough analysis of varying transplant methodology and abiotic variables associated with each site, will be used to develop a framework for analyzing transplant successes for the PPC. Variables assessed during this study will include the influence of supplemental watering, using soil vs. bare root methods, and the number of times an individual is transplanted.
With the information gathered from the PPC along the pipeline right-of-way, along with information gathered from historical PPC transplant locations, I will present a predictive model for transplanting success of PPC using a chi-square test with the statistical software package, STATA. Success will show a clear correlation between plant vigor after transplanting and the methodology with which each cactus was moved. |
---|