Abstract Marine Protected Areas (MPAs) are being implemented worldwide, yet there are few cases where managers make specific predictions of the response of previously harvested populations to MPA implementation.Such predictions are needed to evaluate whether MPAs are working as expected, and if not, why. This evaluation is necessary to perform adaptive management, identifying whether and when adjustments to management might be necessary to achieve MPA goals.Using monitoring data and population models, we quantified expected responses of targeted species to MPA implementation and compared them to monitoring data.The model required two factors to explain observed responses in MPAs: (a) pre‐MPA harvest rates, which can vary at local spatial scales, and (b) recruitment variability before and after MPA establishment. Low recruitment years before MPA establishment in our study system drove deviations from expected equilibrium population size distributions and introduced an additional time lag to response detectability.Synthesis and applications. We combined monitoring data and population models to show how (a) harvest rates prior to Marine Protected Area (MPA) implementation, (b) variability in recruitment, and (c) initial population size structure determine whether a response to MPA establishment is detectable. Pre‐MPA harvest rates across MPAs plays a large role in MPA response detectability, demonstrating the importance of measuring this poorly known parameter. While an intuitive expectation is for response detectability to depend on recruitment variability and stochasticity in population trajectories after MPA establishment, we address the overlooked role of recruitment variability before MPA establishment, which alters the size structure at the time of MPA establishment. These factors provide MPA practitioners with reasons whether or not MPAs may lead to responses of targeted species. Our overall approach provides a framework for a critical step of adaptive management.
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Challenges in the establishment of a rare plant species monitoring program using community science volunteers.
Abstract Community science programs enable the collection of large amounts of important data and enhance the appreciation of science among members of the public. However, there are challenges in the establishment of successful community science programs.We report the challenges associated with the recent establishment of a community science program to monitor rare plants in the geographically diverse southern Illinois, USA region.Over the first 3 years, our program has been successful in the collection of over 250 monitoring records for rare species through the recruitment of a group of passionate volunteers. However, our volunteers are predominantly middle‐income, college educated, white females who are not representative of the population at large of the region. We propose a recruitment strategy to broaden the diversity of our volunteers by better engaging community members who are not typically involved with plant monitoring but are interested in hiking, walking in natural areas, gardening, and restoration activities, and others who would like the opportunity to collaborate with scientists and researchers in addressing an environmental issue.Practical implication: Community science plant monitoring programs face challenges in recruitment, retention, remoteness of field sites and data quality. Addressing these challenges through targeted recruitment strategies aimed at reducing structural and cultural barriers to participation, along with frequent program assessment, is necessary to enhance the success of these programs.
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- Award ID(s):
- 1758497
- PAR ID:
- 10559147
- Publisher / Repository:
- British Ecological Society
- Date Published:
- Journal Name:
- Ecological Solutions and Evidence
- Volume:
- 5
- Issue:
- 4
- ISSN:
- 2688-8319
- Page Range / eLocation ID:
- e12400
- Subject(s) / Keyword(s):
- Rare species volunteering community science monitoring
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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