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LDR01520nmm uu200373 4500
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008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438268999
035 ▼a (MiAaPQ)AAI10845086
035 ▼a (MiAaPQ)grad.msu:16227
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 333
1001 ▼a Li, Yang.
24510 ▼a Innovative Stock Assessment Methods and Management Solutions for Spatially Structured Fish Populations.
260 ▼a [S.l.] : ▼b Michigan State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 283 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: James R. Bence.
5021 ▼a Thesis (Ph.D.)--Michigan State University, 2018.
520 ▼a Fish movement is a key characteristic of fish populations and is essential to account for from both conservation and management perspectives. Movement behavior can impact how fish are distributed, and whether their populations persist in face of
590 ▼a School code: 0128.
650 4 ▼a Natural resource management.
690 ▼a 0528
71020 ▼a Michigan State University. ▼b Fisheries and Wildlife.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0128
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000039 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자