Distribution prediction model for Erioderma mollissimum in Atlantic Canada
Erioderma mollissimum is a rare cyanolichen found on the foggy Atlantic coast of Canada. The rarity of E. mollissimum and the potential threat from human impact has led to conservation concern for this species in Canada. Recent finds on the island of Newfoundland suggest that the distribution of E....
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The American Bryological and Lichenological Society
2011
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ftbioone:10.1639/0007-2745-114.1.231 2023-07-30T04:05:02+02:00 Distribution prediction model for Erioderma mollissimum in Atlantic Canada Robert P. Cameron Tom Neily Stephen R. Clayden Robert P. Cameron Tom Neily Stephen R. Clayden world 2011-03-01 text/HTML https://doi.org/10.1639/0007-2745-114.1.231 en eng The American Bryological and Lichenological Society doi:10.1639/0007-2745-114.1.231 All rights reserved. https://doi.org/10.1639/0007-2745-114.1.231 Text 2011 ftbioone https://doi.org/10.1639/0007-2745-114.1.231 2023-07-09T10:57:39Z Erioderma mollissimum is a rare cyanolichen found on the foggy Atlantic coast of Canada. The rarity of E. mollissimum and the potential threat from human impact has led to conservation concern for this species in Canada. Recent finds on the island of Newfoundland suggest that the distribution of E. mollissimum may be wider than historically known. In order to better understand the environmental factors affecting distribution and to direct future search efforts a Mahalanobis predictive distribution model using a geographical information system (GIS) was developed for Atlantic Canada. The model suggests that only a small part of this region is suitable for E. mollissimum. This study provides an example of an alternative modeling technique to the traditional statistical methods for predicting lichen distribution. Text Newfoundland BioOne Online Journals Canada The Bryologist 114 1 231 238 |
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BioOne Online Journals |
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ftbioone |
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English |
description |
Erioderma mollissimum is a rare cyanolichen found on the foggy Atlantic coast of Canada. The rarity of E. mollissimum and the potential threat from human impact has led to conservation concern for this species in Canada. Recent finds on the island of Newfoundland suggest that the distribution of E. mollissimum may be wider than historically known. In order to better understand the environmental factors affecting distribution and to direct future search efforts a Mahalanobis predictive distribution model using a geographical information system (GIS) was developed for Atlantic Canada. The model suggests that only a small part of this region is suitable for E. mollissimum. This study provides an example of an alternative modeling technique to the traditional statistical methods for predicting lichen distribution. |
author2 |
Robert P. Cameron Tom Neily Stephen R. Clayden |
format |
Text |
author |
Robert P. Cameron Tom Neily Stephen R. Clayden |
spellingShingle |
Robert P. Cameron Tom Neily Stephen R. Clayden Distribution prediction model for Erioderma mollissimum in Atlantic Canada |
author_facet |
Robert P. Cameron Tom Neily Stephen R. Clayden |
author_sort |
Robert P. Cameron |
title |
Distribution prediction model for Erioderma mollissimum in Atlantic Canada |
title_short |
Distribution prediction model for Erioderma mollissimum in Atlantic Canada |
title_full |
Distribution prediction model for Erioderma mollissimum in Atlantic Canada |
title_fullStr |
Distribution prediction model for Erioderma mollissimum in Atlantic Canada |
title_full_unstemmed |
Distribution prediction model for Erioderma mollissimum in Atlantic Canada |
title_sort |
distribution prediction model for erioderma mollissimum in atlantic canada |
publisher |
The American Bryological and Lichenological Society |
publishDate |
2011 |
url |
https://doi.org/10.1639/0007-2745-114.1.231 |
op_coverage |
world |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
https://doi.org/10.1639/0007-2745-114.1.231 |
op_relation |
doi:10.1639/0007-2745-114.1.231 |
op_rights |
All rights reserved. |
op_doi |
https://doi.org/10.1639/0007-2745-114.1.231 |
container_title |
The Bryologist |
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114 |
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1 |
container_start_page |
231 |
op_container_end_page |
238 |
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1772816737608138752 |