Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland
The 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. Bor...
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ftmemorialuniv:oai:research.library.mun.ca:9529 2023-10-01T03:57:30+02:00 Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland Skinner, Randolph 2011 application/pdf https://research.library.mun.ca/9529/ https://research.library.mun.ca/9529/1/Skinner_Randolph.pdf en eng Memorial University of Newfoundland https://research.library.mun.ca/9529/1/Skinner_Randolph.pdf Skinner, Randolph <https://research.library.mun.ca/view/creator_az/Skinner=3ARandolph=3A=3A.html> (2011) Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland. Masters thesis, Memorial University of Newfoundland. thesis_license Thesis NonPeerReviewed 2011 ftmemorialuniv 2023-09-03T06:47:28Z The 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 Thesis Newfoundland Memorial University of Newfoundland: Research Repository Newfoundland Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923) |
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Memorial University of Newfoundland: Research Repository |
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ftmemorialuniv |
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English |
description |
The 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 |
format |
Thesis |
author |
Skinner, Randolph |
spellingShingle |
Skinner, Randolph Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland |
author_facet |
Skinner, Randolph |
author_sort |
Skinner, Randolph |
title |
Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland |
title_short |
Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland |
title_full |
Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland |
title_fullStr |
Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland |
title_full_unstemmed |
Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland |
title_sort |
development of a predictive spatial distribution model for erioderma pedicellatum (boreal felt lichen) for the island of newfoundland |
publisher |
Memorial University of Newfoundland |
publishDate |
2011 |
url |
https://research.library.mun.ca/9529/ https://research.library.mun.ca/9529/1/Skinner_Randolph.pdf |
long_lat |
ENVELOPE(-57.955,-57.955,-61.923,-61.923) |
geographic |
Newfoundland Gam |
geographic_facet |
Newfoundland Gam |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_relation |
https://research.library.mun.ca/9529/1/Skinner_Randolph.pdf Skinner, Randolph <https://research.library.mun.ca/view/creator_az/Skinner=3ARandolph=3A=3A.html> (2011) Development of a predictive spatial distribution model for Erioderma pedicellatum (boreal felt lichen) for the island of Newfoundland. Masters thesis, Memorial University of Newfoundland. |
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1778528863757795328 |