Using maximum entropy modeling to identify and prioritize red spruce forest habitat in West Virginia - Info and Reading Options
By Nathan R. Beane
"Using maximum entropy modeling to identify and prioritize red spruce forest habitat in West Virginia" was published by United States Department of Agriculture, Forest Service, Northern Research Station in 2013 - Newtown Square, PA, it has 16 pages and the language of the book is English.
“Using maximum entropy modeling to identify and prioritize red spruce forest habitat in West Virginia” Metadata:
- Title: ➤ Using maximum entropy modeling to identify and prioritize red spruce forest habitat in West Virginia
- Author: Nathan R. Beane
- Language: English
- Number of Pages: 16
- Publisher: ➤ United States Department of Agriculture, Forest Service, Northern Research Station
- Publish Date: 2013
- Publish Location: Newtown Square, PA
“Using maximum entropy modeling to identify and prioritize red spruce forest habitat in West Virginia” Subjects and Themes:
- Subjects: Habitat (Ecology) - Computer simulation - Red spruce - Endangered species
- Places: West Virginia
Edition Specifications:
- Pagination: 16 pages
Edition Identifiers:
- The Open Library ID: OL30991340M - OL23153290W
- Online Computer Library Center (OCLC) ID: 864302752
- Library of Congress Control Number (LCCN): 2013481284
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