Evidence map›Paper›PMID 33826183›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2021

Near-term ecological forecasting for dynamic aeroconservation of migratory birds.

Kyle G Horton, Benjamin M Van Doren, Heidi J Albers, Andrew Farnsworth, Daniel Sheldon

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Autumn stopover hotspots and multiscale habitat associations of migratory landbirds in the eastern United States.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Near-term ecological forecasting for dynamic aeroconservation of migratory birds.Conservation biology : the journal of the Society for Conservation Biology · 2021
    Article
  12. Drivers of fatal bird collisions in an urban center.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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.

Kyle G HortonDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-3243-3081
Benjamin M Van DorenEdward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK.ORCID 0000-0002-7355-6005
Heidi J AlbersDepartment of Economics, University of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0002-3775-7870
Andrew FarnsworthCornell Lab of Ornithology, Cornell University, Ithaca, New York, USA.ORCID 0000-0002-9854-4449
Daniel SheldonCollege of Information and Computer Sciences, University of Massachusetts, Amherst, Massachusetts, USA.ORCID 0000-0002-4257-2432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near-term ecological forecasting has the potential to mitigate negative impacts of human modifications on wildlife by directing efficient action through relevant and timely predictions. We used the U.S. avian migration system to highlight ecological forecasting applications for aeroconservation. We used millions of observations from 143 weather surveillance radars to construct and evaluate a migration forecasting system for nocturnal bird migration over the contiguous United States. We identified the number of nights of mitigation required to reduce the risk of aerial hazards to 50% of avian migrants passing a given area in spring and autumn based on dynamic forecasts of migration activity. We also investigated an alternative approach, that is, employing a fixed conservation strategy based on time windows that historically capture 50% of migratory passage. In practice, during both spring and autumn, dynamic forecasts required fewer action nights compared with fixed window selection at all locations (spring: mean of 7.3 more alert days; fall: mean of 12.8 more alert days). This pattern resulted in part from the pulsed nature of bird migration captured in the radar data, where the majority (54.3%) of birds move on 10% of a migration season's nights. Our results highlight the benefits of near-term ecological forecasting and the potential advantages of dynamic mitigation strategies over static ones, especially in the face of increasing risks to migrating birds from light pollution, wind energy infrastructure, and collisions with structures.

Indexed as

Animal MigrationLight PollutionAnimalsBirdsConservation of Natural ResourcesHumansSeasonsWindaeroecologíaaeroecologybird migrationcontaminación lumínicalight pollutionmigración de avesradarremote sensingtelemetría光污染遥感雷达飞行生态学鸟类迁徙

Identifiers

PMID33826183
PMCPMC9290813

What OpenQuestion holds

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LicenceCC BY
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.