E-LIB Suche - Ergebnisse für: Ichinokawa, Momoko

1

What stock-per recruit target can be applied to Japanese fi..:

Miyagawa, Mitsuyo ; Ichinokawa, Momoko
Fisheries Science. , 2024

Link: https://doi.org/10.1007/..

2

Which fisheries and biological factors affect the misclassi..:

Miyagawa, Mitsuyo ; Okamura, Hiroshi ; Ichinokawa, Momoko
Fisheries Research. 257 (2023) - p. 106491 , 2023

Link: https://doi.org/10.1016/..

3

Similar fish species composition despite larger environment..:

Shinohara, Naoto ; Hongo, Yuki ; Ichinokawa, Momoko...
Ecology and Evolution. 12 (2022) 5 - p. , 2022

Link: https://doi.org/10.1002/..

4

Optimizing stock assessment workflows by applying software ..:

Hayashi, Akira ; Ichinokawa, Momoko ; Kinoshita, Junji.
Fisheries Research. 244 (2021) - p. 106108 , 2021

Link: https://doi.org/10.1016/..

5

Commentary: Stock Status Assessments for 12 Exploited Fishe..:

Miyagawa, Mitsuyo ; Ichinokawa, Momoko ; Yoda, Mari...
Frontiers in Marine Science. 8 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

6

Drivers of recruitment dynamics in Japanese major fisheries..:

Kurota, Hiroyuki ; Szuwalski, Cody S. ; Ichinokawa, Momoko
Fisheries Research. 221 (2020) - p. 105353 , 2020

Link: https://doi.org/10.1016/..

7

Properly designed effort management for highly fluctuating ..:

Ichinokawa, Momoko ; Okamura, Hiroshi
Marine Ecology Progress Series. 617/618 (2019) - p. 265-276 , 2019

Link: https://www.jstor.org/st..

8

Spatiotemporal dynamics of the Pacific chub mackerel reveal..:

Hashimoto, Midori ; Nishijima, Shota ; Yukami, Ryuji...
Fisheries Research. 219 (2019) - p. 105315 , 2019

Link: https://doi.org/10.1016/..

9

Integrated multi-timescale modeling untangles anthropogenic..:

Nishijima, Shota ; Suzuki, Shigenori ; Ichinokawa, Momoko.
Canadian Journal of Fisheries and Aquatic Sciences. 76 (2019) 11 - p. 2045-2056 , 2019

Link: https://doi.org/10.1139/..

10

Impacts of the nonlinear relationship between abundance and..:

Hashimoto, Midori ; Okamura, Hiroshi ; Ichinokawa, Momoko..
Fisheries Science. 84 (2018) 2 - p. 335-347 , 2018

Link: https://doi.org/10.1007/..

11

Comparison of the performance of age-structured models with..:

Okamura, Hiroshi ; Yamashita, Yuuho ; Ichinokawa, Momoko..
ICES Journal of Marine Science. 75 (2018) 6 - p. 2016-2024 , 2018

Link: https://doi.org/10.1093/..

12

Target-based catch-per-unit-effort standardization in multi..:

Okamura, Hiroshi ; Morita, Shoko H. ; Funamoto, Tetsuichiro..
Canadian Journal of Fisheries and Aquatic Sciences. 75 (2018) 3 - p. 452-463 , 2018

Link: https://doi.org/10.1139/..

13

Climate change and interspecific interactions drive species..:

Nakayama, Shin‐Ichiro ; Takasuka, Akinori ; Ichinokawa, Momoko.
Fisheries Oceanography. 27 (2018) 4 - p. 312-322 , 2018

Link: https://doi.org/10.1111/..

14

Robust bias correction model for estimation of global trend..:

Komori, Osamu ; Eguchi, Shinto ; Saigusa, Yusuke..
Ecosphere. 8 (2017) 12 - p. , 2017

Link: https://doi.org/10.1002/..

15

Incorporating accessibility limitation into the surplus pro..:

Nakayama, Shin-Ichiro ; Akimoto, Seiji ; Ichinokawa, Momoko.
Fisheries Science. 83 (2017) 3 - p. 353-365 , 2017

Link: https://doi.org/10.1007/..