Evidence map›Paper›PMID 34674399›Full record

ArticleEcological applications : a publication of the Ecological Society of America2022

Tracking spatial regimes as an early warning for a species of conservation concern.

Caleb P Roberts, Daniel R Uden, Samantha M Cady, Brady Allred, Samuel Fuhlendorf, Matthew O Jones, Jeremy D Maestas, David Naugle, Andrew C Olsen, Joseph Smith and 2 more

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Tracking spatial regimes as an early warning for a species of conservation concern.Ecological applications : a publication of the Ecological Society of America · 2022
    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.

Caleb P RobertsAgronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68583-0915, USA.ORCID 0000-0002-8716-0423
Daniel R UdenAgronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68583-0915, USA.
Samantha M CadyDepartment of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, Oklahoma, 74078-6013, USA.
Brady AllredWA Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, 59812, USA.
Samuel FuhlendorfDepartment of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, Oklahoma, 74078-6013, USA.
Matthew O JonesWA Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, 59812, USA.ORCID 0000-0001-9262-8345
Jeremy D MaestasUSDA Natural Resources Conservation Service, Portland, Oregon, 97232, USA.
David NaugleWA Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, 59812, USA.
Andrew C OlsenThe Nature Conservancy, Burns, Oregon, 97720, USA.
Joseph SmithWA Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, 59812, USA.ORCID 0000-0002-5242-2761
Jason TackUS Fish and Wildlife Service, Missoula, Montana, 59812, USA.
Dirac TwidwellAgronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68583-0915, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this era of global environmental change and rapid regime shifts, managing core areas that species require to survive and persist is a grand challenge for conservation. Wildlife monitoring data are often limited or local in scale. The emerging ability to map and track spatial regimes (i.e., the spatial manifestation of state transitions) using advanced geospatial vegetation data has the potential to provide earlier warnings of habitat loss because many species of conservation concern strongly avoid spatial regime boundaries. Using 23 yr of data for the lek locations of Greater Prairie-Chicken (Tympanuchus cupido; GPC) in a remnant grassland ecosystem, we demonstrate how mapping changes in the boundaries between grassland and woodland spatial regimes provide a spatially explicit early warning signal for habitat loss for an iconic and vulnerable grassland-obligate known to be highly sensitive to woody plant encroachment. We tested whether a newly proposed metric for the quantification of spatial regimes captured well-known responses of GPC to woody plant expansion into grasslands. Resource selection functions showed that the grass:woody spatial regime boundary strength explained the probability of 80% of relative lek occurrence, and GPC strongly avoided grass:woody spatial regime boundaries at broad scales. Both findings are consistent with well-known expectations derived from GPC ecology. These results provide strong evidence for vegetation-derived delineations of spatial regimes to serve as generalized signals of early warning for state transitions that have major consequences to biodiversity conservation. Mapping spatial regime boundaries over time provided interpretable early warnings of habitat loss. Woody plant regimes displaced grassland regimes starting from the edges of the study area and constricting inward. Correspondingly, the relative probability of lek occurrence constricted in space. Similarly, the temporal trajectory of spatial regime boundary strength increased over time and moved closer to the observed limit of GPC lek site usage relative to grass:woody boundary strength. These novel spatial metrics allow managers to rapidly screen for early warning signals of spatial regime shifts and adapt management practices to defend and grow habitat cores at broad scales.

Indexed as

EcosystemForestsBiodiversityConservation of Natural ResourcesGrasslandPoaceaeWoodearly warningglobal environmental changegrasslandGreater Prairie-Chickenlekregime shiftscreeningspatial regimestate transitionwoody plant encroachment

Identifiers

PMID34674399
PMCPMC9746655

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Registered trials

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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.