Evidence map›Paper›PMID 33449139›Full record

ArticleEnvironmental management2021

Protected Areas Established by Local Communities through Direct Democracy Encompass Habitat for Species as Effectively as Protected Areas Planned over Large Spatial Scales.

Chad Stachowiak, Benjamin J Crain, Kailin Kroetz, James N Sanchirico, Paul R Armsworth

Abstract read
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In one paragraph

Article in Environmental management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chad StachowiakDepartment of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN, 37996, USA. chadmstach@gmail.com.ORCID 0000-0002-2900-5847
Benjamin J CrainDepartment of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN, 37996, USA.
Kailin KroetzSchool of Sustainability, Arizona State University, PO Box 875502, Tempe, AZ, 85287-5502, USA.
James N SanchiricoResources for the Future, 1616 P St. NW, Washington, DC, 20036, USA.
Paul R ArmsworthDepartment of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN, 37996, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Local communities contribute to broader biodiversity protection goals when managing their immediate environment when they establish protected areas. However, their efforts are geographically constrained and often uncoordinated. We compare protected areas established by local communities through the direct democracy process in California, US, to protected areas created and managed by two conservation actors working over larger spatial scales, one private and one public. Despite being geographically constrained to smaller spatial scales, protected areas established by local communities were as effective as those established by larger scale conservation actors at representing different habitat types. However, local ballot protected areas tended to protect more common species. All three protected area networks often performed no better than random in terms of siting protected areas to support narrow range species and rare habitats. Improved accounting of local communities' protection efforts would allow organizations with greater funding flexibility to focus their efforts to increase representation of rarer species and habitats in protected area systems.

Indexed as

Conservation of Natural ResourcesDemocracyBiodiversityEcosystemballotbiodiversityconservation planninggap analysisnature reserveopen space

Identifiers

What OpenQuestion holds

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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.