Assessing the potential, actual, and perceived risk that gra…
Return to Search Return to Search  

Detail

Print Record Print Record
Email Record Email Record
Permanent Link Permanent Link
Items Items
transparent Author: Chavez, Andreas S., author.
transparent Title Statement: Assessing the potential, actual, and perceived risk that gray wolves, Canis lupus, pose to livestock in northwestern Minnesota / by Andreas S. Chavez.
transparent Production: 2002.
transparent Description: x, 118 leaves : charts ; 28 cm
transparent Dissertation Note: M.S. Utah State University, Dept of Fisheries and Wildlife 2002
transparent Bibliography Note: Includes bibliographical references.
transparent Local Note: NWRCCatalogISO2​0250428
transparent Elect. Loc./Access: ProQuest, Abstract http://gateway.​proquest.com/op​enurl?url_ver=Z​39.88-​2004&rft_val_fm​t=info:ofi/fmt:​kev:mtx:dissert​ation&res_dat=x​ri:pqm&rft_dat=​xri:pqdiss:1409​337
transparent Subject: Gray wolf-​-​Ecology-​-​Minnesota.
transparent Gray wolf-​-​Minnesota-​-​Public opinion.
transparent Livestock-​-​Losses-​-​Minnesota.
transparent Loup gris-​-​Écologie-​-​Minnesota.
transparent Loup gris-​-​Minnesota-​-​Opinion publique.
transparent Bétail-​-​Pertes-​-​Minnesota.
transparent Livestock-​-​Losses. fast (OCoLC)fst01000​817
transparent Wolves-​-​Ecology. fast (OCoLC)fst01176​541
transparent Wolves--Public opinion. fast (OCoLC)fst01176​551
transparent Minnesota. fast (OCoLC)fst01204​560 https://id.oclc​.org/worldcat/e​ntity/E39PBJyRC​Qh3BG678T9kW8XT​pP
transparent Index - Genre/Form: Academic Dissertation
transparent Academic theses.
transparent Academic theses. fast (OCoLC)fst01726​453
transparent Academic theses. lcgft
transparent Thèses et écrits académiques. rvmgf

Items

Copy Call Number Location Item ID Status
1. Collapse for less details 1 THESIS CHAVEZ 2002 Library Collection e90016611 Available for Circulation
1 Vertical Data
Media: Electronic document
2. Collapse for less details 1 THESIS CHAVEZ 2002 Library Collection 90016611 Available for Circulation
2 Vertical Data