Evidence map›Paper›PMID 35360351›Full record

ArticleRoyal Society open science2022

Demographic variation in space and time: implications for conservation targeting.

Catriona A Morrison, Simon J Butler, Jacquie A Clark, Juan Arizaga, Oriol Baltà, Jaroslav Cepák, Arantza Leal Nebot, Markus Piha, Kasper Thorup, Thomas Wenninger and 2 more

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Catriona A MorrisonSchool of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.ORCID 0000-0002-4293-2717
Simon J ButlerSchool of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
Jacquie A ClarkBritish Trust for Ornithology, The Nunnery, Thetford IP24 2PU, UK.
Juan ArizagaDepartment of Ornithology, Aranzadi Sciences Society, Zorroagagaina 11, E20014 Donostia, Spain.
Oriol BaltàCatalan Ornithological Institute, Nat-Museu de Ciències Naturals de Barcelona, Pl. Leonardo da Vinci, 4-5 08019 Barcelona, Spain.
Jaroslav CepákBird Ringing Centre, National Museum, Hornoměcholupská 34, CZ-10200 10 Praha, Czech Republic.
Arantza Leal NebotSEO/BirdLife, Ciencia Ciudadana, C/Melquiades Biencinto, 34 - 28053 Madrid, Spain.
Markus PihaFinnish Museum of Natural History - LUOMUS, P. O. Box 17, FI-00014 University of Helsinki, Finland.
Kasper ThorupCenter for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
Thomas WenningerSwedish Museum of Natural History, Bird Ringing Centre, Box 50007, S-104 05 Stockholm, Sweden.
Robert A RobinsonBritish Trust for Ornithology, The Nunnery, Thetford IP24 2PU, UK.ORCID 0000-0003-0504-9906
Jennifer A GillSchool of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.ORCID 0000-0003-0167-6857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of wild populations are governed by demographic rates which vary spatially and/or temporally in response to environmental conditions. Conservation actions for widespread but declining populations could potentially exploit this variation to target locations (or years) in which rates are low, but only if consistent spatial or temporal variation in demographic rates occurs. Using long-term demographic data for wild birds across Europe, we show that productivity tends to vary between sites (consistently across years), while survival rates tend to vary between years (consistently across sites), and that spatial synchrony is more common in survival than productivity. Identifying the conditions associated with low demographic rates could therefore facilitate spatially targeted actions to improve productivity or (less feasibly) forecasting and temporally targeting actions to boost survival. Decomposing spatio-temporal variation in demography can thus be a powerful tool for informing conservation policy and for revealing appropriate scales for actions to influence demographic rates.

Indexed as

conservation actionsdemographypopulation declinesproductivitysurvival rates

Identifiers

PMID35360351
PMCPMC8965396

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.