Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Craig Busack"'
Publikováno v:
Reviews in Fish Biology and Fisheries. 24:685-688
Salmon hold an iconic status along the Atlantic and Pacific coasts of North America, historically providing critical ecosystem services and substantial economic benefits to these regions. Overharvest, fish passage barriers and habitat destruction, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11febbd8e398f4da6f38d50c70abf9ed
https://doi.org/10.1007/s11160-014-9365-7
https://doi.org/10.1007/s11160-014-9365-7
Autor:
E. Ashley Steel, Craig Busack, Brad Thompson, Tom Kantz, David W. Jensen, Paul McElhany, Kevin Malone, Joel Hubble, Michael D. Purser, Karen A. Avery, Mark D. Bowen, Naomi J. Yoder, Greg Blair
Publikováno v:
Fisheries. 34:330-339
Fisheries management has become increasingly dependent on large and complex models; however, tools and technologies for model evaluation have lagged behind model development and application. Sensitivity analyses can test the degree to which particula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46aece856318f95c81f94964fcb853d7
https://doi.org/10.1577/1548-8446-34.7.330
https://doi.org/10.1577/1548-8446-34.7.330
Autor:
Craig Busack, Kenneth P. Currens
Publikováno v:
Fisheries. 20:24-31
Genetic risk assessment is a tool for describing and communicating genetic risks and hazards of natural resource management objectively, on a case-by-case basis, to reduce conflicts and ambiguities that arise from generalized perceptions of such risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9552825500dc4482776c72130fc91956
https://doi.org/10.1577/1548-8446(1995)020<0024:affagv>2.0.co
https://doi.org/10.1577/1548-8446(1995)020<0024:affagv>2.0.co
Publikováno v:
Ecological applications : a publication of the Ecological Society of America. 20(2)
Ecosystem models have been developed for assessment and management in a wide variety of environments. As model complexity increases, it becomes more difficult to trace how imperfect knowledge of internal model parameters, data inputs, or relationship
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd38ac7f836539ee17e80e04b03828c1
https://pubmed.ncbi.nlm.nih.gov/20405800
https://pubmed.ncbi.nlm.nih.gov/20405800