Understanding environmental effects on urchin density thresholds

Seattle, Washington
Ecology
DOI: 10.18258/97823
Grant: Living Thresholds - Oceans
$10,400
Pledged
104%
Funded
$10,000
Goal
0
Days
  • $10,400
    pledged
  • 104%
    funded
  • 0
    days

About This Project

Kelp forests are important ecosystems that support diverse marine communities globally. They face severe losses from climate-driven marine heatwaves and subsequent sea urchin overpopulation. My previous research established a threshold of 2 urchins/m², currently used in California, to sustain healthy kelp. I will now examine how environmental variables such as salinity affect this threshold. This will help create site-specific thresholds for more efficient kelp management.

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What is the context of this research?

Kelp forests are among the most biodiverse temperate marine ecosystems globally. These underwater forests are vulnerable to heatwaves exacerbated by climate change, showing declines in most regions of the world. In northern California, bull kelp experienced a 95% coverage decline in 2014-2016 due to an intense El Niño effect. This, combined with a local collapse of the predators of sea urchins, which are the main kelp consumers, led to kelp overgrazing. Restoration efforts have been ongoing ever since.

Previously, I identified a threshold of 2 urchins/m2 to allow kelp to naturally recover from urchin grazing. This threshold has been implemented in restoration plans for bull kelp. However, biological factors such as predator presence making urchins hide and environmental factors such as substrate complexity and salinity affect grazing behavior. This raises a question of how local biological and environmental conditions may affect this threshold of 2 urchins/m2.

What is the significance of this project?

This project will inform future kelp restoration management plans in northern California to create site-specific thresholds that account for the environmental conditions of the sites being managed. For example, if I identify regions with lower salinity allow a higher urchin density threshold, then those regions can have more lenient management policies than regions with higher salinity. Different environmental variables could be antagonistic and cancel each other out, so a region with high salinity and high substrate complexity could have a similar threshold to a low salinity and low substrate complexity.

Furthermore, the modeling techniques that I will be using during this project will be usable in other regions and with other species of kelp being affected in a similar way by grazing activity.

What are the goals of the project?

The main goal of this project is to evaluate how the urchin density threshold for kelp persistence varies across different environmental conditions in northern California. To do this, I will identify environmental variables in recent literature that have a correlation with urchin grazing activity in kelp forests and compile sites where those environmental variables, urchin, and kelp densities are all available. Second, I will fit a simple mathematical model based on my prior research that describes the urchin threshold using the data of each site. I will use publicly available data such as Kelp Watch or CENCOOS. Finally, I will use these estimated thresholds to identify correlations between the identified environmental variables and the numerical value of these thresholds, as well as using historical kelp density data to identify if the new threshold is better at predicting population persistence than the default threshold of 2 urchins/m2.

Budget

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Because this project relies on existing datasets, 100% of the funds go directly into the advanced mathematical modeling and data analysis required to synthesize this information. This budget covers 12 weeks of my dedicated, full-time analytical work.

Endorsed by

This project will provide crucial information to kelp forest restoration decision-making in California and beyond. Dr. Arroyo Esquivel has exactly the expertise and quantitative skillset necessary for a successful outcome.

Project Timeline

This project is set to begin in November 2026 and take approximately 12 weeks. Each of the specific goals I previously defined before will take me approximately 3 weeks, leaving 3 weeks to do a formal writeup that will be presented either as a short scientific preprint or as part of a bigger research project in collaboration with an interested peer in the field of kelp forest management.

Nov 06, 2026

Project Launched

Nov 20, 2026

Identification of datasets

Dec 11, 2026

Develop and fit mathematical model

Jan 01, 2027

Identify correlations and effectiveness of new thresholds

Jan 22, 2027

Formal writeup

Meet the Team

Jorge Arroyo
Jorge Arroyo
Independent Researcher

Jorge Arroyo

I am a quantitative ecologist and data science with an expertise in integrating machine learning algorithms with dynamical models to address management challenges in aquatic ecology. I finished my PhD in Applied Mathematics at UC Davis in 2022 and since then I have taken different positions in academia, government, and private industry. I am highly passionate in coastal management, and I continue dedicating part of my time researching exciting questions in the quantitative ecology field.

Lab Notes

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