Digital Archives Initiative
Memorial University - Electronic Theses and Dissertations 5
menu off  add document to favorites : add page to favorites : reference url back to results : previous : next
 
 Search this object:
  
 0 hit(s) :: previous hit : next hit
  View:    
  previous page : next page
Document Description
TitleDevelopment of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland
AuthorSkinner, Randolph, 1969-
DescriptionThesis (M.Sc.)--Memorial University of Newfoundland, 2011. Science
Date2011
Paginationvi, 63 leaves : ill., maps. (chiefly col.)
SubjectForest lichens--Newfoundland and Labrador--Newfoundland, Island of--Geographical distribution; Forest lichens--Ecology--Newfoundland and Labrador--Newfoundland, Island of; Rare lichens--Newfoundland and Labrador--Newfoundland, Island of--Geographical distribution; Rare lichens--Ecology--Newfoundland and Labrador--Newfoundland, Island of
DegreeM.Sc.
Degree GrantorMemorial University of Newfoundland. Faculty of Science
DisciplineScience
LanguageEng
Spatial CoverageCanada--Newfoundland and Labrador
NotesBibliography: leaves 61-63.
AbstractThe worldwide population of Erioderma pedicellatum is currently listed as critical by the IUCN, with over 95% of the current population residing on the island of Newfoundland. Surveys of E. pedicellatum habitats and populations have primarily been opportunistic, rather than systematic in nature. Boreal felt lichen is listed as a species of special concern and vulnerable under COSEWIC and the Newfoundland and Labrador provincial listings respectively. By using a Geographic Information System (GIS) and compiled occurrence data and pseudo-absence data, I developed the first systematic predictive spatial distribution model for E. pedicellatum on the island of Newfoundland. A suite of 19 models using 4 different parameters were developed; the model with distance from coastline and aspect was the best candidate. Testing with reserve data and using a confusion matrix showed that the model displayed low model sensitivity (i.e., a low ability to predict false presence), but high model specificity (a strong ability to predict true absence). The final predictive model can assist future COSEWIC status assessments and provincial conservation management decisions that require information on probable species distribution. -- Keywords: Erioderma pedicellatum; boreal felt lichen; predictive habitat model; presence absence model; GAM; Newfoundland
TypeText
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
RightsThe author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(7.97 MB) -- http://collections.mun.ca/PDFs/theses/Skinner_Randolph.pdf
CONTENTdm file name21455.cpd