Characterizing ontogenetic habitat shifts in marine fishes: advancing nascent methods for marine spatial management

Ronen Galaiduk, Ben T. Radford, Benjamin J. Saunders, Stephen J. Newman, Euan S. Harvey

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Niche requirements and habitat resource partitioning by conspecific fishes of different sizes are significant knowledge gaps in the species distribution modelling domain. Management actions and operations are typically concentrated on static habitats, or specific areas of interest, without considering movement patterns of species associated with ontogenetic shifts in habitat usage. Generalized additive models were used to model the bodylength- habitat relationships of six fish species. These models were used to identify subsets of environmental parameters that drive and explain the continuous length-habitat relationships for each of the study species, which vary in their degree of ecological and/or commercial importance. Continuous predictive maps of the length distributions for each of the six study species across approximately 200 km(2) of the study area were created from these models. The spatial patterns in habitat partitioning by individuals of different body lengths for all six study species provide strong evidence for ontogenetic shifts. This highlights the importance of considering ontogenetic processes for marine spatial management. Importantly, predictive hotspot maps were created that identify potential areas that accumulate individuals of similar life stages of multiple species (e.g., multispecies nursery areas). In circumstances where limited resources are available for monitoring and management of fish resources, predictive modelling is a valuable tool for studying previously overlooked processes such as ontogenetic habitat shifts. Predictive modelling provides crucial information that elucidates spatial patterns in community composition across mosaics of benthic habitats. This novel technique can contribute to the spatial management of coastal fish and fisheries by identifying areas that are important for different life history stages of multiple fish species.

Original languageEnglish
Pages (from-to)1776-1788
Number of pages13
JournalEcological Applications
Volume27
Issue number6
DOIs
Publication statusPublished - Sep 2017

Cite this

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title = "Characterizing ontogenetic habitat shifts in marine fishes: advancing nascent methods for marine spatial management",
abstract = "Niche requirements and habitat resource partitioning by conspecific fishes of different sizes are significant knowledge gaps in the species distribution modelling domain. Management actions and operations are typically concentrated on static habitats, or specific areas of interest, without considering movement patterns of species associated with ontogenetic shifts in habitat usage. Generalized additive models were used to model the bodylength- habitat relationships of six fish species. These models were used to identify subsets of environmental parameters that drive and explain the continuous length-habitat relationships for each of the study species, which vary in their degree of ecological and/or commercial importance. Continuous predictive maps of the length distributions for each of the six study species across approximately 200 km(2) of the study area were created from these models. The spatial patterns in habitat partitioning by individuals of different body lengths for all six study species provide strong evidence for ontogenetic shifts. This highlights the importance of considering ontogenetic processes for marine spatial management. Importantly, predictive hotspot maps were created that identify potential areas that accumulate individuals of similar life stages of multiple species (e.g., multispecies nursery areas). In circumstances where limited resources are available for monitoring and management of fish resources, predictive modelling is a valuable tool for studying previously overlooked processes such as ontogenetic habitat shifts. Predictive modelling provides crucial information that elucidates spatial patterns in community composition across mosaics of benthic habitats. This novel technique can contribute to the spatial management of coastal fish and fisheries by identifying areas that are important for different life history stages of multiple fish species.",
keywords = "demersal reef fish, habitat shifts, Houtman Abrolhos Islands, natural resource management, nursery areas, predictive modelling, species distribution models, species interactions, SPECIES DISTRIBUTION MODELS, EASTERN ENGLISH-CHANNEL, CORAL-REEFS, STEREO-VIDEO, PSEUDOLABRUS-CELIDOTUS, WESTERN-AUSTRALIA, DISTRIBUTIONS, SIZE, PATTERNS, BIODIVERSITY",
author = "Ronen Galaiduk and Radford, {Ben T.} and Saunders, {Benjamin J.} and Newman, {Stephen J.} and Harvey, {Euan S.}",
year = "2017",
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language = "English",
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Characterizing ontogenetic habitat shifts in marine fishes : advancing nascent methods for marine spatial management. / Galaiduk, Ronen; Radford, Ben T.; Saunders, Benjamin J.; Newman, Stephen J.; Harvey, Euan S.

In: Ecological Applications, Vol. 27, No. 6, 09.2017, p. 1776-1788.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Characterizing ontogenetic habitat shifts in marine fishes

T2 - advancing nascent methods for marine spatial management

AU - Galaiduk, Ronen

AU - Radford, Ben T.

AU - Saunders, Benjamin J.

AU - Newman, Stephen J.

AU - Harvey, Euan S.

PY - 2017/9

Y1 - 2017/9

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AB - Niche requirements and habitat resource partitioning by conspecific fishes of different sizes are significant knowledge gaps in the species distribution modelling domain. Management actions and operations are typically concentrated on static habitats, or specific areas of interest, without considering movement patterns of species associated with ontogenetic shifts in habitat usage. Generalized additive models were used to model the bodylength- habitat relationships of six fish species. These models were used to identify subsets of environmental parameters that drive and explain the continuous length-habitat relationships for each of the study species, which vary in their degree of ecological and/or commercial importance. Continuous predictive maps of the length distributions for each of the six study species across approximately 200 km(2) of the study area were created from these models. The spatial patterns in habitat partitioning by individuals of different body lengths for all six study species provide strong evidence for ontogenetic shifts. This highlights the importance of considering ontogenetic processes for marine spatial management. Importantly, predictive hotspot maps were created that identify potential areas that accumulate individuals of similar life stages of multiple species (e.g., multispecies nursery areas). In circumstances where limited resources are available for monitoring and management of fish resources, predictive modelling is a valuable tool for studying previously overlooked processes such as ontogenetic habitat shifts. Predictive modelling provides crucial information that elucidates spatial patterns in community composition across mosaics of benthic habitats. This novel technique can contribute to the spatial management of coastal fish and fisheries by identifying areas that are important for different life history stages of multiple fish species.

KW - demersal reef fish

KW - habitat shifts

KW - Houtman Abrolhos Islands

KW - natural resource management

KW - nursery areas

KW - predictive modelling

KW - species distribution models

KW - species interactions

KW - SPECIES DISTRIBUTION MODELS

KW - EASTERN ENGLISH-CHANNEL

KW - CORAL-REEFS

KW - STEREO-VIDEO

KW - PSEUDOLABRUS-CELIDOTUS

KW - WESTERN-AUSTRALIA

KW - DISTRIBUTIONS

KW - SIZE

KW - PATTERNS

KW - BIODIVERSITY

U2 - 10.1002/eap.1565

DO - 10.1002/eap.1565

M3 - Article

VL - 27

SP - 1776

EP - 1788

JO - Ecological Applications

JF - Ecological Applications

SN - 1051-0761

IS - 6

ER -