Using Relational Biology with Loop Analysis to Study the North Atlantic Biological Carbon Pump in a ‘Hybrid’ Non-Algorithmic Manner DOI Creative Commons

Patricia A. Lane

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3972 - 3972

Published: Dec. 18, 2024

Biologists, philosophers, and mathematicians building upon Robert Rosen’s non-algorithmic theories of life using Relational Biology Category Theory have continued to develop his theory modeling approaches. There has been general agreement that the impredicative, self-referential, complex nature living systems negates an algorithmic approach. main goal was answer, “What is Life?”. Many believe he provided best but minimum answer a cellular, metabolism–repair or (M, R)-system as category-theoretic model. It challenging, however, incorporate fully methodology retains essence thinking while creating more operational models can be used explore other facets different questions. Living do than in real world beyond confines definition alone. For example, ecologists ask how inherently mitigate existential risk from climate change biodiversity loss through their self-organization. Loop Analysis, signed graph technique, discussed hybrid algorithmic/non-algorithmic Biology. This at ecosystem level with standard field data per McAllister’s description incompressibility empirical this type. An example described showing North Atlantic Carbon Pump, important planetary support system, situated plankton community functions mutualistic chimera. captures carbon atmosphere extended processes it until sequestered marine sediments. process alleviate magnitude equal larger sequestration on land forests. suggested should replace cellular organismic levels system unit biology evolution since all exists evolves full functional potential networks not laboratory test tubes. The largest after total biosphere consists evolutionary links relationships existed for eons time. If there ever genuine robust, highly self-organized ecosystem, would planktonic. Severing these thermodynamically open by focusing lower biological hierarchy loses critical organization planet. no regain crucial ‘omitted’ ecological relational causality cell organismal levels. At end paper, some future directions are outlined.

Language: Английский

Quantifying stability and resilience of eco-social keystone species complexes for coastal marine ecosystems of the Caribbean Sea and eastern Pacific: applications in conservation and monitoring programmes DOI
Marco Ortiz, Brenda B. Hermosillo‐Núñez

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1909)

Published: July 22, 2024

The local stability and resilience of 13 eco-social keystone species complexes (eco-social KSCs)—considered as conservation monitoring units—were quantified in coastal marine ecosystems located the Caribbean eastern Pacific. Based on Routh–Hurwitz’s criterion Levins’ criteria, KSCs corresponding to Islas Marietas National Park (Mexico) emerged most locally stable resilient ecosystem. To contrary, determined for Guala Bay (Chile) Xcalak Reef (Caribbean) were least resilient, respectively. In terms sensitivity, El Cobre presented greatest number sensitive components. ecological section is formed by a tri-trophic network, dominating self-negative feedbacks. case socio-economic section, fisher could exhibit three types self-feedbacks, instead, demand should be controlled. identification quantification their stabilities resiliences allow us approach ecosystem-based fisheries management under climate change context. Therefore, we suggest assessing persistence herein analysed over time, way conserve fundamental network structure these intervened fishing. This article part theme issue ‘Connected interactions: enriching food web research spatial social interactions’.

Language: Английский

Citations

5
Exploring sustainable scenarios for the brown algae fishery in the intertidal zone along the central Chilean coast (Maule region) DOI
Fernando Berríos, Marco Ortiz

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125222 - 125222

Published: April 8, 2025

Language: Английский

Citations

0
Connected interactions: enriching food web research by spatial and social interactions DOI Creative Commons
Fernanda S. Valdovinos, Antonio Bodini, Ferenc Jordán

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1909)

Published: July 22, 2024

This theme issue features 18 papers exploring ecological interactions, encompassing metabolic, social, and spatial connections alongside traditional trophic networks. integration enriches food web research, offering insights into dynamics. By examining links across organisms, populations, ecosystems, a hierarchical approach emerges, connecting horizontal effects within organizational levels vertically biological organization levels. The inclusion of interactions involving humans is key focus, highlighting the need for their ecology given complex between human activities systems in Anthropocene. comprehensive exploration this sheds light on interconnectedness importance considering diverse understanding ecosystem article part ‘Connected interactions: enriching research by social interactions’.

Language: Английский

Citations

0
Multiclass Image Segmentation using Deep Residual Encoder-Decoder Models in Highly Turbid Underwater Ambiances DOI

T.P. Mithun Haridas,

Suraj Kamal, Arun A. Balakrishnan

et al.

International Journal of Mathematical Engineering and Management Sciences, Journal Year: 2024, Volume and Issue: 9(6), P. 1510 - 1530

Published: Oct. 3, 2024

Underwater environments, especially the coral reefs, are habitat of many critically endangered species. Extensive monitoring these aquatic ecosystems is essential for conserving and deep understanding vulnerable habitats. Monitoring by extracting details from underwater images turbid, hazy marine environments extremely challenging. In this work, a novel annotated dataset created three classes objects in reef environment considering fish, rock/coral background Fish4Knowledge dataset, benchmark primarily binary segmentation. This work also proposes multiclass ResUnet based image segmentation model newly annotations. Various encoder-decoder convolutional architectures were analysed found that exhibits better robustness. The performance optimizing with different cost functions. noisy conditions simulated test to find robustness model, observed proposed optimised Jaccard loss performs even scenarios.

Language: Английский

Citations

0
Using Relational Biology with Loop Analysis to Study the North Atlantic Biological Carbon Pump in a ‘Hybrid’ Non-Algorithmic Manner DOI Creative Commons

Patricia A. Lane

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3972 - 3972

Published: Dec. 18, 2024

Biologists, philosophers, and mathematicians building upon Robert Rosen’s non-algorithmic theories of life using Relational Biology Category Theory have continued to develop his theory modeling approaches. There has been general agreement that the impredicative, self-referential, complex nature living systems negates an algorithmic approach. main goal was answer, “What is Life?”. Many believe he provided best but minimum answer a cellular, metabolism–repair or (M, R)-system as category-theoretic model. It challenging, however, incorporate fully methodology retains essence thinking while creating more operational models can be used explore other facets different questions. Living do than in real world beyond confines definition alone. For example, ecologists ask how inherently mitigate existential risk from climate change biodiversity loss through their self-organization. Loop Analysis, signed graph technique, discussed hybrid algorithmic/non-algorithmic Biology. This at ecosystem level with standard field data per McAllister’s description incompressibility empirical this type. An example described showing North Atlantic Carbon Pump, important planetary support system, situated plankton community functions mutualistic chimera. captures carbon atmosphere extended processes it until sequestered marine sediments. process alleviate magnitude equal larger sequestration on land forests. suggested should replace cellular organismic levels system unit biology evolution since all exists evolves full functional potential networks not laboratory test tubes. The largest after total biosphere consists evolutionary links relationships existed for eons time. If there ever genuine robust, highly self-organized ecosystem, would planktonic. Severing these thermodynamically open by focusing lower biological hierarchy loses critical organization planet. no regain crucial ‘omitted’ ecological relational causality cell organismal levels. At end paper, some future directions are outlined.

Language: Английский

Citations

0