Evidence map›Paper›PMID 31249308›Full record

ArticleScientific data2019

Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors.

James R Oakleaf, Christina M Kennedy, Sharon Baruch-Mordo, James S Gerber, Paul C West, Justin A Johnson, Joseph Kiesecker

Abstract read
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. Catalyzing success in community-based conservation.Conservation biology : the journal of the Society for Conservation Biology · 2023
    Review
  8. Article
  9. Predicted wind and solar energy expansion has minimal overlap with multiple conservation priorities across global regions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Prioritizing actions: spatial action maps for conservation.Annals of the New York Academy of Sciences · 2021
    Article
  11. Hemp-Based Microfluidics.Micromachines · 2021
    Article
  12. Article
  13. 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

7 authors.

James R OakleafGlobal Lands Program, The Nature Conservancy, Fort Collins, CO, 80524, USA. joakleaf@tnc.org.
Christina M KennedyGlobal Lands Program, The Nature Conservancy, Fort Collins, CO, 80524, USA.
Sharon Baruch-MordoGlobal Lands Program, The Nature Conservancy, Fort Collins, CO, 80524, USA.
James S GerberGlobal Landscapes Initiative, Institute on the Environment, University of Minnesota, St. Paul, MN, 55108, USA.ORCID http://orcid.org/0000-0002-6890-0481
Paul C WestGlobal Landscapes Initiative, Institute on the Environment, University of Minnesota, St. Paul, MN, 55108, USA.ORCID http://orcid.org/0000-0001-9024-1657
Justin A JohnsonNatural Capital Project, Institute on the Environment, University of Minnesota, St. Paul, MN, 55108, USA.
Joseph KieseckerGlobal Lands Program, The Nature Conservancy, Fort Collins, CO, 80524, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping suitable land for development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic development and the environment. Previous land suitability assessments have generally focused on a few development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as "development potential indices" (DPIs), for 13 sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource potential and development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned development. We illustrate how these DPIs can be used to elucidate potential individual sector expansion and cumulative development patterns.

Identifiers

PMID31249308
PMCPMC6597728

What OpenQuestion holds

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LicenceCC BY
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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.