Results 21 to 30 of about 265,143 (318)

RAM Legacy Stock Assessment Database v4.494

, 2020
RAM Legacy Stock Assessment Database version 4 ...
RAM Legacy Stock Assessment Database
core   +1 more source

RAM Legacy Stock Assessment Database v4.46

, 2020
RAM Legacy Stock Assessment Database version 4 ...
RAM Legacy Stock Assessment Database
core   +1 more source

Extended RAM Legacy Stock Assessment Database version 4.494

, 2020
Extended RAM Legacy Stock Assessment Database version 4.494 Please be aware that this ‘mdl’ ('model fits included') version 4.494 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves,
RAM Legacy Stock Assessment Database
core   +1 more source

A model for self-assessment of skills to identify tacit knowledge stock and enable knowledge transfer [PDF]

, 2019
The theory of Resource Based View (RBV) posits the use of internal resources for competitive advantage which is often evaluated using four questions on value (V), rarity (R), imitability (I) and organisation (O), also known as the VRIO framework.
Pant, Aastha
core   +1 more source

The state of commercial stocks of common carp (Cyprinus carpio Linnaeus, 1758), bream Abramis brama Linnaeus, 1758), roach (Rutilus rutilus Linnaeus, 1758) and pikeperch (Sander lucioperca Linnaeus, 1758) in the Dniester lagoon in 2000-2019

Ribogospodarsʹka Nauka Ukraïni, 2020
Purpose. Assessment of the commercial stocks of common carp Cyprinus carpio Linnaeus, 1758, bream Abramis brama (Linnaeus, 1758), roach Rutilus rutilus (Linnaeus, 1758) and pikeperch Sander lucioperca (Linnaeus, 1758) in the Dniester Lagoon in 2000-2019.
S. Snigirev, E. Leonchik, S. Bushuiev
doaj   +1 more source

Extended RAM Legacy Stock Assessment Database version 4.46

, 2020
<p>Extended RAM Legacy Stock Assessment Database version 4.46</p> <p>Please be aware that this ‘mdl’ ('model fits included') version 4.46 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes ...
RAM Legacy Stock Assessment Database
core   +1 more source

Improved Accuracy for Automated Counting of a Fish in Baited Underwater Videos for Stock Assessment

Frontiers in Marine Science, 2021
The ongoing need to sustainably manage fishery resources can benefit from fishery-independent monitoring of fish stocks. Camera systems, particularly baited remote underwater video system (BRUVS), are a widely used and repeatable method for monitoring ...
Rod M. Connolly, David V. Fairclough, Eric L. Jinks, Ellen M. Ditria, Gary Jackson, Sebastian Lopez-Marcano, Sebastian Lopez-Marcano, Andrew D. Olds, Kristin I. Jinks   +8 more
doaj   +1 more source

Stock Assessment of Hatchery-Released Clam Meretrix meretrix in an Estuary of China From the Perspectives of Population Ecology and Genetic Diversity

Frontiers in Marine Science, 2021
In this study, the release effects of the buried clam Meretrix meretrix in a northern estuary of China (Shuangtaizi Estuary) was assessed in terms of population ecology and genetic variability by using longer-term monitoring data from 2011 (used as the ...
Anguo Zhang, Anguo Zhang, Hongjun Li, Xiaolong Yang, Lili Wang, Yangchun Gao, Mingshan Song, Xiutang Yuan, Xiutang Yuan   +8 more
doaj   +1 more source

Estimating fish stock biomass using a Bayesian state-space model: accounting for catchability change due to technological progress

Frontiers in Marine Science
The assessment of trends in fish stocks using long-term time-series data is important for effective fisheries resource management. Despite technological advancements in recent decades, the resulting increase in fisheries catch potential with applied ...
Makoto Nishimoto, Yoshinori Aoki, Naoto Matsubara, Paul Hamer, Yuichi Tsuda   +4 more
doaj   +1 more source

Predicting Pacific saury fishing sites using machine learning and spatial environmental variables reflecting recent eastward shifts

Frontiers in Marine Science
In recent years, the Northwest Pacific has seen a decline in Pacific saury (Cololabis saira) catch and an eastward shift of fishing grounds, both of which have posed increasing challenges for effective resource management.
Taiga Asakura, Miyuki Mekuchi, Taiki Fuji, Satoshi Suyama   +3 more
doaj   +1 more source