High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight

Marine ecosystems face simultaneous pressures from human activities, ocean industrialization, potential global warming and changing habitats. Continuous monitoring of marine biodiversity and ecosystem processes is needed to assess the individual fish species survivability in such conditions. The inc...

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Bibliographic Details
Main Author: Pednekar, Shourav
Other Authors: Makris, Nicholas C., Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Thesis
Language:unknown
Published: Massachusetts Institute of Technology 2023
Subjects:
Online Access:https://hdl.handle.net/1721.1/151924
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spelling ftmit:oai:dspace.mit.edu:1721.1/151924 2023-09-26T15:15:21+02:00 High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight Pednekar, Shourav Makris, Nicholas C. Massachusetts Institute of Technology. Department of Mechanical Engineering 2023-07-19T18:42:05.135Z application/pdf https://hdl.handle.net/1721.1/151924 unknown Massachusetts Institute of Technology https://hdl.handle.net/1721.1/151924 orcid:0000-0001-6412-887X In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ Thesis 2023 ftmit 2023-08-28T18:04:08Z Marine ecosystems face simultaneous pressures from human activities, ocean industrialization, potential global warming and changing habitats. Continuous monitoring of marine biodiversity and ecosystem processes is needed to assess the individual fish species survivability in such conditions. The increasing use of computer modeling and simulations based on significantly under-sampled data of the marine environment, however, leads to unconstrained and potentially unstable predictions of key processes. To address this issue, we demonstrate a technology enabling synoptic quantification and distinction of multispecies fish population densities over ecosystem scales with continuous spatial and temporal resolution. This enables high-resolution quantification of predator-prey interactions in space and time over ecosystem scales. We present an example of an event in the Barents Sea where a massive cod predatory swarm of approximately 1.9 million individuals attacks a defending coherently moving linear capelin prey structure extending over 14 km containing approximately 23 million individuals. Capelin are a keystone species of the Arctic ecosystem. Cod are their primary predator, but cod populations have collapsed everywhere except in the Nordic Seas due to overfishing causing significant changes in ecosystem balance in those regions. We provide high-resolution spatial density images finely sampled over time of cod convergence on capelin prey, estimated capelin consumed, capelin survived and satiated cod predators quantifying the detailed spatio-temporal dynamics of predation. From these we estimate 58% of the entire capelin group was consumed by the swarming cod within 4 hours where the detailed imagery of behavioral shoal structure show capelin in the highest density regions have the highest probabilities of survival. Other interactions we quantified between predatory juvenile cod and pre-spawning capelin groups indicate a variety of behavioral mechanisms with varying levels of efficiency are at work for both the ... Thesis Arctic Barents Sea Global warming Nordic Seas DSpace@MIT (Massachusetts Institute of Technology) Arctic Barents Sea
institution Open Polar
collection DSpace@MIT (Massachusetts Institute of Technology)
op_collection_id ftmit
language unknown
description Marine ecosystems face simultaneous pressures from human activities, ocean industrialization, potential global warming and changing habitats. Continuous monitoring of marine biodiversity and ecosystem processes is needed to assess the individual fish species survivability in such conditions. The increasing use of computer modeling and simulations based on significantly under-sampled data of the marine environment, however, leads to unconstrained and potentially unstable predictions of key processes. To address this issue, we demonstrate a technology enabling synoptic quantification and distinction of multispecies fish population densities over ecosystem scales with continuous spatial and temporal resolution. This enables high-resolution quantification of predator-prey interactions in space and time over ecosystem scales. We present an example of an event in the Barents Sea where a massive cod predatory swarm of approximately 1.9 million individuals attacks a defending coherently moving linear capelin prey structure extending over 14 km containing approximately 23 million individuals. Capelin are a keystone species of the Arctic ecosystem. Cod are their primary predator, but cod populations have collapsed everywhere except in the Nordic Seas due to overfishing causing significant changes in ecosystem balance in those regions. We provide high-resolution spatial density images finely sampled over time of cod convergence on capelin prey, estimated capelin consumed, capelin survived and satiated cod predators quantifying the detailed spatio-temporal dynamics of predation. From these we estimate 58% of the entire capelin group was consumed by the swarming cod within 4 hours where the detailed imagery of behavioral shoal structure show capelin in the highest density regions have the highest probabilities of survival. Other interactions we quantified between predatory juvenile cod and pre-spawning capelin groups indicate a variety of behavioral mechanisms with varying levels of efficiency are at work for both the ...
author2 Makris, Nicholas C.
Massachusetts Institute of Technology. Department of Mechanical Engineering
format Thesis
author Pednekar, Shourav
spellingShingle Pednekar, Shourav
High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
author_facet Pednekar, Shourav
author_sort Pednekar, Shourav
title High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
title_short High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
title_full High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
title_fullStr High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
title_full_unstemmed High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
title_sort high-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
publisher Massachusetts Institute of Technology
publishDate 2023
url https://hdl.handle.net/1721.1/151924
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre Arctic
Barents Sea
Global warming
Nordic Seas
genre_facet Arctic
Barents Sea
Global warming
Nordic Seas
op_relation https://hdl.handle.net/1721.1/151924
orcid:0000-0001-6412-887X
op_rights In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
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