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Bootstrap methods can help evaluate monitoring program performance to inform restoration as part of an adaptive management program
Abstract
The objective of many fish and wildlife restoration programs is to utilize management actions to change the state of a system. Because restoration programs are often expensive, iteratively assessing whether the restoration is having the desired outcome is a critical aspect of learning how to inform ongoing and sampling designs to evaluate proposed restoration programs. We provide an example of how we are using data resampling as part of an adaptive restoration process to test the effectiveness of a restoration action and associated monitoring program to restore the degraded Lone Cabbage oyster reef in Suwannee Sound, Florida in the northeast Gulf of Mexico. We use a resampling framework through simulations to inform the progress of the restoration efforts by examining the direction and magnitude of the differences in live oyster counts between restored and unrestored (wild) reefs over time. In addition, we evaluated the effort (number of sites sampled) needed to determine the effect of restoration to understand how many surveys should be conducted in subsequent sampling seasons. These efforts allow us to provide timely insight into the effectiveness of both our monitoring efforts and restoration strategy which is of critical importance not only to the restoration of Lone Cabbage Reef but to larger restoration efforts within the Gulf of Mexico as part of the consolidated Deepwater Horizon settlements and funded restoration efforts.
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In the citing paper
“These uncertainties will be typical of other oyster restoration projects; therefore, the design of restoration and monitoring implemented for Lone Cabbage Reef may be of larger relevance (Moore and Pine 2021).”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
In the citing paper
“This led to an in-depth exploration of the monitoring design for Lone Cabbage Reef (Moore and Pine 2021), including defining explicit feedback loops related to our expected restoration response and possible outcomes (Table 1).”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
In the citing paper
“Rigorously developed living data management plan is integrated with routine summaries of oyster and water quality data that are assessed prior to and during sampling events to evaluate the informativeness of monitoring (see application in Moore et al. 2020;Moore and Pine 2021).”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
In the citing paper
“Because monitoring is explicitly structured around the hypothesized treatment effects of our restoration, we can improve our understanding of restoration effectiveness by separating the restoration effects from background variability in oyster populations (Moore and Pine 2021).”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
In the citing paper
“Second, continuously analyzing field data to determine whether the restoration was having the intended consequences and tuning ongoing sampling efforts to answer these questions necessitated the development of a living data management system (Yenni et al. 2019) and methods of rapid analysis (Moore and Pine 2021).”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
In the citing paper
“When combined with the high costs and logistical constraints for sampling these oyster reefs, this approach also made it clear that we needed careful consideration of how and where to conduct sampling (Moore and Pine 2021).”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
In the citing paper
“The Lone Cabbage Reef project has used a combination of field and simulated data to provide insight into the utility of our monitoring programs for distinguishing between restoration responses and background”
From Adaptive Management in Practice and the Problem of Application at Multiple Scales—Insights from Oyster Reef Restoration on Florida’s Gulf Coast (2022) · cites this paper as Moore and Pine 2021
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Cited by
Sorted by citations
Pine, W. E., Johnson, F. A., Frederick, P. C., & Coggins, L. G. (2022) · Marine and Coastal Fisheries · doi:10.1002/mcf2.10192 · Cited by 16
Self-citation
Metadata
- Authors
- Moore, J. F., & Pine III, W. E.
- Affiliations
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, United States of America
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2021-05-04
- Volume
- 9
- Pages
- e11378
- ISSN
- 2167-8359
- PMC
- PMC8103915
- Cited by
- 5
- References
- 0
- Language
- en
- Funders
- National Fish and Wildlife Foundation
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