Evidence map›Paper›PMID 35979681›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2023

Linking life history to landscape for threatened species conservation in a multiuse region.

Robyn E Shaw, Peter B Spencer, Lesley A Gibson, Judy A Dunlop, Janine E Kinloch, Karel Mokany, Margaret Byrne, Craig Moritz, Harriet Davie, Kenny J Travouillon and 1 more

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Linking life history to landscape for threatened species conservation in a multiuse region.Conservation biology : the journal of the Society for Conservation Biology · 2023
    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

11 authors.

Robyn E ShawEnvironmental & Conservation Sciences, Murdoch University, Perth, Western Australia, Australia.ORCID 0000-0002-7899-1743
Peter B SpencerEnvironmental & Conservation Sciences, Murdoch University, Perth, Western Australia, Australia.ORCID 0000-0002-4938-2615
Lesley A GibsonBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Perth, Western Australia, Australia.ORCID 0000-0001-6665-729X
Judy A DunlopWA Feral Cat Working Group, Perth, Western Australia, Australia.ORCID 0000-0003-4842-0672
Janine E KinlochBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Perth, Western Australia, Australia.ORCID 0000-0003-4950-7892
Karel MokanyCSIRO, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-4199-3697
Margaret ByrneBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Perth, Western Australia, Australia.ORCID 0000-0002-7197-5409
Craig MoritzDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Australian Capital Territory, Canberra, Australia.ORCID 0000-0001-5313-7279
Harriet DavieRoy Hill Iron Ore Pty Ltd, Perth, Western Australia, Australia.
Kenny J TravouillonCollection and Research, Western Australian Museum, Perth, Western Australia, Australia.ORCID 0000-0003-1734-4742
Kym M OttewellBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Perth, Western Australia, Australia.ORCID 0000-0002-4273-3224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landscape-scale conservation that considers metapopulation dynamics will be essential for preventing declines of species facing multiple threats to their survival. Toward this end, we developed a novel approach that combines occurrence records, spatial-environmental data, and genetic information to model habitat, connectivity, and patterns of genetic structure and link spatial attributes to underlying ecological mechanisms. Using the threatened northern quoll (Dasyurus hallucatus) as a case study, we applied this approach to address the need for conservation decision-making tools that promote resilient metapopulations of this threatened species in the Pilbara, Western Australia, a multiuse landscape that is a hotspot for biodiversity and mining. Habitat and connectivity were predicted by different landscape characteristics. Whereas habitat suitability was overwhelmingly driven by terrain ruggedness, dispersal was facilitated by proximity to watercourses. Although there is limited evidence for major physical barriers in the Pilbara, areas with high silt and clay content (i.e., alluvial and hardpan plains) showed high resistance to dispersal. Climate subtlety shaped distributions and patterns of genetic turnover, suggesting the potential for local adaptation. By understanding these spatial-environmental associations and linking them to life-history and metapopulation dynamics, we highlight opportunities to provide targeted species management. To support this, we have created habitat, connectivity, and genetic uniqueness maps for conservation decision-making in the region. These tools have the potential to provide a more holistic approach to conservation in multiuse landscapes globally.

Indexed as

Conservation of Natural ResourcesEndangered SpeciesAnimalsBiodiversityClimateEcosystemaridáridoconectividadconnectivityconservation planningcuol del norteecología del paisajegenética del paisajelandscape ecologylandscape geneticsmamíferosmammalsmodelado de distribución de especiesnorthern quollplaneación de la conservaciónspecies distribution modeling

Identifiers

PMID35979681
PMCPMC10100189

What OpenQuestion holds

Textmetadata
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.