Evidence map›Paper›PMID 31486126›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2020

Decision-support tools for dynamic management.

Heather Welch, Stephanie Brodie, Michael G Jacox, Steven J Bograd, Elliott L Hazen

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Incorporating fine-scale behaviors into habitat suitability modeling: A case study for sea turtles.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Article
  4. Article
  5. 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 · 2022
    Article
  6. Article
  7. Prioritizing actions: spatial action maps for conservation.Annals of the New York Academy of Sciences · 2021
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Heather WelchInstitute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, U.S.A.ORCID 0000-0002-5464-1140
Stephanie BrodieInstitute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, U.S.A.ORCID 0000-0003-0869-9939
Michael G JacoxInstitute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, U.S.A.
Steven J BogradInstitute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, U.S.A.ORCID 0000-0003-3872-9932
Elliott L HazenInstitute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, U.S.A.ORCID 0000-0002-0412-7178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Conservation of Natural ResourcesFisheriesAnimalsEcosystemFishesHumanscaptura accesoria por pesqueríasclimate variabilitydiseño de reservasecosystem managementfisheries bycatchmanejo de ecosistemasMarxanmodelos de distribución de especiesprioritizationpriorizaciónreserve designspecies distribution modelsvariabilidad climática气候变异, 生态系统管理, 渔业副渔获, Marxan 软件, 优先保护, 保护区设计, 物种分布模型

Identifiers

PMID31486126
PMCPMC7317865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.