Multiple resiliency metrics reveal complementary drivers of ecosystem persistence: An application to kelp forest systems.

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Hauptverfasser: Arroyo-Esquivel, Jorge, Adams, Riley, Gravem, Sarah, Whippo, Ross, Randell, Zachary, Hodin, Jason, Galloway, Aaron W E, Gaylord, Brian, Baskett, Marissa L
Format: Artículo científico
Sprache:en
Veröffentlicht: Ecology 2024
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author Arroyo-Esquivel, Jorge
Adams, Riley
Gravem, Sarah
Whippo, Ross
Randell, Zachary
Hodin, Jason
Galloway, Aaron W E
Gaylord, Brian
Baskett, Marissa L
author_facet Arroyo-Esquivel, Jorge
Adams, Riley
Gravem, Sarah
Whippo, Ross
Randell, Zachary
Hodin, Jason
Galloway, Aaron W E
Gaylord, Brian
Baskett, Marissa L
Arroyo-Esquivel, Jorge
Adams, Riley
Gravem, Sarah
Whippo, Ross
Randell, Zachary
Hodin, Jason
Galloway, Aaron W E
Gaylord, Brian
Baskett, Marissa L
collection PubMed - marine biology
contents Multiple resiliency metrics reveal complementary drivers of ecosystem persistence: An application to kelp forest systems. Arroyo-Esquivel, Jorge Adams, Riley Gravem, Sarah Whippo, Ross Randell, Zachary Hodin, Jason Galloway, Aaron W E Gaylord, Brian Baskett, Marissa L Kelp Animals Models, Biological Sea Urchins Ecosystem Climate Change Food Chain Starfish Human-caused global change produces biotic and abiotic conditions that increase the uncertainty and risk of failure of restoration efforts. A focus of managing for resiliency, that is, the ability of the system to respond to disturbance, has the potential to reduce this uncertainty and risk. However, identifying what drives resiliency might depend on how one measures it. An example of a system where identifying how the drivers of different aspects of resiliency can inform restoration under climate change is the northern coast of California, where kelp experienced a decline in coverage of over 95% due to the combination of an intense marine heat wave and the functional extinction of the primary predator of the kelp-grazing purple sea urchin, the sunflower sea star. Although restoration efforts focused on urchin removal and kelp reintroduction in this system are ongoing, the question of how to increase the resiliency of this system to future marine heat waves remains open. In this paper, we introduce a dynamical model that describes a tritrophic food chain of kelp, purple urchins, and a purple urchin predator such as the sunflower sea star. We run a global sensitivity analysis of three different resiliency metrics (recovery likelihood, recovery rate, and resistance to disturbance) of the kelp forest to identify their ecological drivers. We find that each metric depends the most on a unique set of drivers: Recovery likelihood depends the most on live and drift kelp production, recovery rate depends the most on urchin production and feedbacks that determine urchin grazing on live kelp, and resistance depends the most on feedbacks that determine predator consumption of urchins. Therefore, an understanding of the potential role of predator reintroduction or recovery in kelp systems relies on a comprehensive approach to measuring resiliency.
format Artículo científico
id pubmed_39462824
institution PubMed
language en
publishDate 2024
publisher Ecology
record_format pubmed
spellingShingle Multiple resiliency metrics reveal complementary drivers of ecosystem persistence: An application to kelp forest systems.
Arroyo-Esquivel, Jorge
Adams, Riley
Gravem, Sarah
Whippo, Ross
Randell, Zachary
Hodin, Jason
Galloway, Aaron W E
Gaylord, Brian
Baskett, Marissa L
Kelp
Animals
Models, Biological
Sea Urchins
Ecosystem
Climate Change
Food Chain
Starfish
Multiple resiliency metrics reveal complementary drivers of ecosystem persistence: An application to kelp forest systems. Arroyo-Esquivel, Jorge Adams, Riley Gravem, Sarah Whippo, Ross Randell, Zachary Hodin, Jason Galloway, Aaron W E Gaylord, Brian Baskett, Marissa L Kelp Animals Models, Biological Sea Urchins Ecosystem Climate Change Food Chain Starfish Human-caused global change produces biotic and abiotic conditions that increase the uncertainty and risk of failure of restoration efforts. A focus of managing for resiliency, that is, the ability of the system to respond to disturbance, has the potential to reduce this uncertainty and risk. However, identifying what drives resiliency might depend on how one measures it. An example of a system where identifying how the drivers of different aspects of resiliency can inform restoration under climate change is the northern coast of California, where kelp experienced a decline in coverage of over 95% due to the combination of an intense marine heat wave and the functional extinction of the primary predator of the kelp-grazing purple sea urchin, the sunflower sea star. Although restoration efforts focused on urchin removal and kelp reintroduction in this system are ongoing, the question of how to increase the resiliency of this system to future marine heat waves remains open. In this paper, we introduce a dynamical model that describes a tritrophic food chain of kelp, purple urchins, and a purple urchin predator such as the sunflower sea star. We run a global sensitivity analysis of three different resiliency metrics (recovery likelihood, recovery rate, and resistance to disturbance) of the kelp forest to identify their ecological drivers. We find that each metric depends the most on a unique set of drivers: Recovery likelihood depends the most on live and drift kelp production, recovery rate depends the most on urchin production and feedbacks that determine urchin grazing on live kelp, and resistance depends the most on feedbacks that determine predator consumption of urchins. Therefore, an understanding of the potential role of predator reintroduction or recovery in kelp systems relies on a comprehensive approach to measuring resiliency.
title Multiple resiliency metrics reveal complementary drivers of ecosystem persistence: An application to kelp forest systems.
topic Kelp
Animals
Models, Biological
Sea Urchins
Ecosystem
Climate Change
Food Chain
Starfish
url https://pubmed.ncbi.nlm.nih.gov/39462824/