Graph neural networks and transfer entropy enhance forecasting of mesozooplankton community dynamics
Mesozooplankton are critical components of marine ecosystems, acting as key intermediaries between primary producers and higher trophic levels by grazing on phytoplankton and influencing fish populations. They play pivotal roles in the pelagic food web and export production, affecting the biogeochem...
Saved in:
| Main Authors: | Minhyuk Jeung, Min-Chul Jang, Kyoungsoon Shin, Seung Won Jung, Sang-Soo Baek |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Environmental Science and Ecotechnology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666498424001285 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative analysis of mesozooplankton size fraction structure in bivalve aquaculture embayments in Atlantic and Pacific Canadian coastal regions
by: Ruben D. Cordero, et al.
Published: (2025-02-01) -
Zooplankton Composition in the Southwestern Sea of Marmara During the Summer Season
by: Dalida Bedikoğlu, et al.
Published: (2025-07-01) -
Characterization of the zooplankton in the continental shelf of the Brazilian Equatorial Atlantic
by: Yago Bruno Silveira Nunes, et al.
Published: (2023-02-01) -
Graph Entropy of Some Special Chemical Graphs
by: B. I. Andrew, et al.
Published: (2024-12-01) -
Graph-Based Stock Volatility Forecasting with Effective Transfer Entropy and Hurst-Based Regime Adaptation
by: Sangheon Lee, et al.
Published: (2025-05-01)