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Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system

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Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system. / Peterson, Emily A.; Stuart, Courtney E.; Pittman, Simon J. et al.
In: Landscape Ecology, Vol. 39, No. 8, 145, 03.08.2024.

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Harvard

Peterson, EA, Stuart, CE, Pittman, SJ, Benkwitt, CE, Graham, NAJ, Malhi, Y, Salmon, T, Stoll, B, Purkis, SJ & Wedding, LM 2024, 'Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system', Landscape Ecology, vol. 39, no. 8, 145. https://doi.org/10.1007/s10980-024-01936-7

APA

Peterson, E. A., Stuart, C. E., Pittman, S. J., Benkwitt, C. E., Graham, N. A. J., Malhi, Y., Salmon, T., Stoll, B., Purkis, S. J., & Wedding, L. M. (2024). Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system. Landscape Ecology, 39(8), Article 145. https://doi.org/10.1007/s10980-024-01936-7

Vancouver

Peterson EA, Stuart CE, Pittman SJ, Benkwitt CE, Graham NAJ, Malhi Y et al. Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system. Landscape Ecology. 2024 Aug 3;39(8):145. doi: 10.1007/s10980-024-01936-7

Author

Peterson, Emily A. ; Stuart, Courtney E. ; Pittman, Simon J. et al. / Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system. In: Landscape Ecology. 2024 ; Vol. 39, No. 8.

Bibtex

@article{9770a54db16e4f13b3ef7c26dc4dfc36,
title = "Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system",
abstract = "Context: Seascape connectivity refers to how the spatial configuration of marine habitats facilitates or hinders the movement of organisms, nutrients, materials or energy. Predicting and ranking potential connectivity among habitat patches for coral reef fishes helps to understand how reef fishes could utilize and connect multiple habitat types through the flow of nutrients, energy and biomass across the wider seascape during foraging movements. Objectives: To advance a spatially explicit understanding of connectivity linkages within a tropical atoll system by modeling, mapping and quantifying potential seascape connectivity for two locally abundant herbivorous reef fish species, the parrotfish, Chlorurus spilurus (pahoro hohoni or pa{\textquoteright}ati pa{\textquoteright}apa{\textquoteright}a auahi), and the surgeonfish, Acanthurus triostegus (manini). Methods: We applied a two-step modeling approach by first mapping habitat suitability for the focal species. A graph-theoretic modeling technique was then applied to model and measure the contribution of benthic habitat patches to species-specific potential connectivity within the seascape. Results: Habitat suitability was higher and less fragmented for C. spilurus than for A. triostegus. Potential ecological connectivity estimates for C. spilurus were higher across the entire seascape, with differences between species likely driven by local-scale benthic habitat patch configuration and species home ranges. Hotspots of ecological connectivity across the atoll were mapped for both species. Conclusions: Despite advances in the application of graph-theoretic techniques in the coastal environment, few marine conservation and restoration measures currently integrate spatial information on ecological connectivity. This two-step spatial modeling approach holds great potential for rapid application of connectivity modeling at multiple spatial scales, which may predict ecological responses to conservation actions including active habitat restoration.",
keywords = "Restoration ecology, Remote sensing, Ecological modeling, Seascape connectivity, MaxEnt",
author = "Peterson, {Emily A.} and Stuart, {Courtney E.} and Pittman, {Simon J.} and Benkwitt, {Cassandra E.} and Graham, {Nicholas A. J.} and Yadvinder Malhi and Teva Salmon and Benoit Stoll and Purkis, {Sam J.} and Wedding, {Lisa M.}",
year = "2024",
month = aug,
day = "3",
doi = "10.1007/s10980-024-01936-7",
language = "English",
volume = "39",
journal = "Landscape Ecology",
issn = "0921-2973",
publisher = "Springer Netherlands",
number = "8",

}

RIS

TY - JOUR

T1 - Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system

AU - Peterson, Emily A.

AU - Stuart, Courtney E.

AU - Pittman, Simon J.

AU - Benkwitt, Cassandra E.

AU - Graham, Nicholas A. J.

AU - Malhi, Yadvinder

AU - Salmon, Teva

AU - Stoll, Benoit

AU - Purkis, Sam J.

AU - Wedding, Lisa M.

PY - 2024/8/3

Y1 - 2024/8/3

N2 - Context: Seascape connectivity refers to how the spatial configuration of marine habitats facilitates or hinders the movement of organisms, nutrients, materials or energy. Predicting and ranking potential connectivity among habitat patches for coral reef fishes helps to understand how reef fishes could utilize and connect multiple habitat types through the flow of nutrients, energy and biomass across the wider seascape during foraging movements. Objectives: To advance a spatially explicit understanding of connectivity linkages within a tropical atoll system by modeling, mapping and quantifying potential seascape connectivity for two locally abundant herbivorous reef fish species, the parrotfish, Chlorurus spilurus (pahoro hohoni or pa’ati pa’apa’a auahi), and the surgeonfish, Acanthurus triostegus (manini). Methods: We applied a two-step modeling approach by first mapping habitat suitability for the focal species. A graph-theoretic modeling technique was then applied to model and measure the contribution of benthic habitat patches to species-specific potential connectivity within the seascape. Results: Habitat suitability was higher and less fragmented for C. spilurus than for A. triostegus. Potential ecological connectivity estimates for C. spilurus were higher across the entire seascape, with differences between species likely driven by local-scale benthic habitat patch configuration and species home ranges. Hotspots of ecological connectivity across the atoll were mapped for both species. Conclusions: Despite advances in the application of graph-theoretic techniques in the coastal environment, few marine conservation and restoration measures currently integrate spatial information on ecological connectivity. This two-step spatial modeling approach holds great potential for rapid application of connectivity modeling at multiple spatial scales, which may predict ecological responses to conservation actions including active habitat restoration.

AB - Context: Seascape connectivity refers to how the spatial configuration of marine habitats facilitates or hinders the movement of organisms, nutrients, materials or energy. Predicting and ranking potential connectivity among habitat patches for coral reef fishes helps to understand how reef fishes could utilize and connect multiple habitat types through the flow of nutrients, energy and biomass across the wider seascape during foraging movements. Objectives: To advance a spatially explicit understanding of connectivity linkages within a tropical atoll system by modeling, mapping and quantifying potential seascape connectivity for two locally abundant herbivorous reef fish species, the parrotfish, Chlorurus spilurus (pahoro hohoni or pa’ati pa’apa’a auahi), and the surgeonfish, Acanthurus triostegus (manini). Methods: We applied a two-step modeling approach by first mapping habitat suitability for the focal species. A graph-theoretic modeling technique was then applied to model and measure the contribution of benthic habitat patches to species-specific potential connectivity within the seascape. Results: Habitat suitability was higher and less fragmented for C. spilurus than for A. triostegus. Potential ecological connectivity estimates for C. spilurus were higher across the entire seascape, with differences between species likely driven by local-scale benthic habitat patch configuration and species home ranges. Hotspots of ecological connectivity across the atoll were mapped for both species. Conclusions: Despite advances in the application of graph-theoretic techniques in the coastal environment, few marine conservation and restoration measures currently integrate spatial information on ecological connectivity. This two-step spatial modeling approach holds great potential for rapid application of connectivity modeling at multiple spatial scales, which may predict ecological responses to conservation actions including active habitat restoration.

KW - Restoration ecology

KW - Remote sensing

KW - Ecological modeling

KW - Seascape connectivity

KW - MaxEnt

U2 - 10.1007/s10980-024-01936-7

DO - 10.1007/s10980-024-01936-7

M3 - Journal article

VL - 39

JO - Landscape Ecology

JF - Landscape Ecology

SN - 0921-2973

IS - 8

M1 - 145

ER -