Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?

Identifying patterns of organismal distribution can provide valuable insights for basic and applied marine and coastal ecology because understanding where animals are located is foundational to both research and science-based conservation. Understanding variation in distributional patterns can lead...

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Autores principales:	Ryland B. Taylor, Martha E. Mather, Joseph M. Smith, Kayla M. Boles
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	striped bass discrete groups distribution confluence telemetry cluster analysis Science Q General. Including nature conservation, geographical distribution QH1-199.5
Acceso en línea:	https://doaj.org/article/03287ccecaaf462e9b3d749be95b43cb
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spelling	oai:doaj.org-article:03287ccecaaf462e9b3d749be95b43cb2021-12-01T01:52:12ZCan Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?2296-774510.3389/fmars.2021.723025https://doaj.org/article/03287ccecaaf462e9b3d749be95b43cb2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.723025/fullhttps://doaj.org/toc/2296-7745Identifying patterns of organismal distribution can provide valuable insights for basic and applied marine and coastal ecology because understanding where animals are located is foundational to both research and science-based conservation. Understanding variation in distributional patterns can lead to a better assessment of ecological drivers and an improved ability to predict consequences of natural and altered relationships. Here, our purpose is to explore if quantifying coexisting groups of individual fish predators advances our understanding of field distribution patterns. Toward this end, we quantified locations of 59 acoustically tagged striped bass (Morone saxatilis) within a 26-stationary unit telemetry receiver array in Plum Island Estuary (PIE), MA, United States. We then used cluster analyses on spatial and temporal-spatial metrics from this dataset to (1) assess if distinct groups of individuals coexisted, (2) quantify group characteristics, and (3) test associations between groups and distribution (e.g., physical site type and region). Based on multiple lines of evidence, we identified four groups of striped bass with different space use patterns that persisted across seasons (summer and fall). Similar-sized striped bass clustered at spatial and temporal scales at which individuals within distinct groups could, and did, physically overlap. In addition, distributional groups were linked to components of physical site type and region suggesting that discrete groups of individuals can interact differently with the environment within the same ecological system. The identification of these distinct groups of individuals creates a baseline from which to explore further ecological implications of grouping behavior for research and conservation in geographically large, temporally dynamic, and spatially heterogeneous marine and coastal environments.Ryland B. TaylorMartha E. MatherJoseph M. SmithKayla M. BolesFrontiers Media S.A.articlestriped bassdiscrete groupsdistributionconfluencetelemetrycluster analysisScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	striped bass discrete groups distribution confluence telemetry cluster analysis Science Q General. Including nature conservation, geographical distribution QH1-199.5
spellingShingle	striped bass discrete groups distribution confluence telemetry cluster analysis Science Q General. Including nature conservation, geographical distribution QH1-199.5 Ryland B. Taylor Martha E. Mather Joseph M. Smith Kayla M. Boles Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?
description	Identifying patterns of organismal distribution can provide valuable insights for basic and applied marine and coastal ecology because understanding where animals are located is foundational to both research and science-based conservation. Understanding variation in distributional patterns can lead to a better assessment of ecological drivers and an improved ability to predict consequences of natural and altered relationships. Here, our purpose is to explore if quantifying coexisting groups of individual fish predators advances our understanding of field distribution patterns. Toward this end, we quantified locations of 59 acoustically tagged striped bass (Morone saxatilis) within a 26-stationary unit telemetry receiver array in Plum Island Estuary (PIE), MA, United States. We then used cluster analyses on spatial and temporal-spatial metrics from this dataset to (1) assess if distinct groups of individuals coexisted, (2) quantify group characteristics, and (3) test associations between groups and distribution (e.g., physical site type and region). Based on multiple lines of evidence, we identified four groups of striped bass with different space use patterns that persisted across seasons (summer and fall). Similar-sized striped bass clustered at spatial and temporal scales at which individuals within distinct groups could, and did, physically overlap. In addition, distributional groups were linked to components of physical site type and region suggesting that discrete groups of individuals can interact differently with the environment within the same ecological system. The identification of these distinct groups of individuals creates a baseline from which to explore further ecological implications of grouping behavior for research and conservation in geographically large, temporally dynamic, and spatially heterogeneous marine and coastal environments.
format	article
author	Ryland B. Taylor Martha E. Mather Joseph M. Smith Kayla M. Boles
author_facet	Ryland B. Taylor Martha E. Mather Joseph M. Smith Kayla M. Boles
author_sort	Ryland B. Taylor
title	Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?
title_short	Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?
title_full	Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?
title_fullStr	Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?
title_full_unstemmed	Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?
title_sort	can identifying discrete behavioral groups with individual-based acoustic telemetry advance the understanding of fish distribution patterns?
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/03287ccecaaf462e9b3d749be95b43cb
work_keys_str_mv	AT rylandbtaylor canidentifyingdiscretebehavioralgroupswithindividualbasedacoustictelemetryadvancetheunderstandingoffishdistributionpatterns AT marthaemather canidentifyingdiscretebehavioralgroupswithindividualbasedacoustictelemetryadvancetheunderstandingoffishdistributionpatterns AT josephmsmith canidentifyingdiscretebehavioralgroupswithindividualbasedacoustictelemetryadvancetheunderstandingoffishdistributionpatterns AT kaylamboles canidentifyingdiscretebehavioralgroupswithindividualbasedacoustictelemetryadvancetheunderstandingoffishdistributionpatterns
_version_	1718405941409349632

Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?

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