ArticleConservation biology : the journal of the Society for Conservation Biology2020
Decision-support tools for dynamic management.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Restoring the Florida Everglades: Insights on Integrating Sea Level Rise into Decision-Support Tools.Environmental management · 2025Article
- Incorporating fine-scale behaviors into habitat suitability modeling: A case study for sea turtles.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Using spatial distribution modeling of commercial species to inform management of small-scale fisheries in a Mediterranean marine protected area.Ecology and evolution · 2024Article
- Fishery catch records support machine learning-based prediction of illegal fishing off US West Coast.PeerJ · 2023Article
- Trade-offs between bycatch and target catches in static versus dynamic fishery closures.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Marine heatwave challenges solutions to human-wildlife conflict.Proceedings. Biological sciences · 2021Article
- Prioritizing actions: spatial action maps for conservation.Annals of the New York Academy of Sciences · 2021Article
- Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees.Ecology and evolution · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial management is a valuable strategy to advance regional goals for nature conservation, economic development, and human health. One challenge of spatial management is navigating the prioritization of multiple features. This challenge becomes more pronounced in dynamic management scenarios, in which boundaries are flexible in space and time in response to changing biological, environmental, or socioeconomic conditions. To implement dynamic management, decision-support tools are needed to guide spatial prioritization as feature distributions shift under changing conditions. Marxan is a widely applied decision-support tool designed for static management scenarios, but its utility in dynamic management has not been evaluated. EcoCast is a new decision-support tool developed explicitly for the dynamic management of multiple features, but it lacks some of Marxan's functionality. We used a hindcast analysis to compare the capacity of these 2 tools to prioritize 4 marine species in a dynamic management scenario for fisheries sustainability. We successfully configured Marxan to operate dynamically on a daily time scale to resemble EcoCast. The relationship between EcoCast solutions and the underlying species distributions was more linear and less noisy, whereas Marxan solutions had more contrast between waters that were good and poor to fish. Neither decision-support tool clearly outperformed the other; the appropriateness of each depends on management purpose, resource-manager preference, and technological capacity of tool developers. Article impact statement: Marxan can function as a decision-support tool for dynamic management scenarios in which boundaries are flexible in space and time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.