Evidence map›Paper›PMID 28886132›Full record

SynthesisPloS one2017

A global view of shifting cultivation: Recent, current, and future extent.

Andreas Heinimann, Ole Mertz, Steve Frolking, Andreas Egelund Christensen, Kaspar Hurni, Fernando Sedano, Louise Parsons Chini, Ritvik Sahajpal, Matthew Hansen, George Hurtt

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2017. 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
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The role of soil in the contribution of food and feed.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Role of forest regrowth in global carbon sink dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

10 authors.

Andreas HeinimannInstitute of Geography, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0001-8905-8169
Ole MertzDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen K, Denmark.
Steve FrolkingInstitute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, United States of America.
Andreas Egelund ChristensenDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen K, Denmark.
Kaspar HurniCentre for Development and Environment, University of Bern, Bern, Switzerland.
Fernando SedanoDepartment of Geographical Sciences, University of Maryland, College Park, United States of America.
Louise Parsons ChiniDepartment of Geographical Sciences, University of Maryland, College Park, United States of America.
Ritvik SahajpalDepartment of Geographical Sciences, University of Maryland, College Park, United States of America.
Matthew HansenDepartment of Geographical Sciences, University of Maryland, College Park, United States of America.
George HurttDepartment of Geographical Sciences, University of Maryland, College Park, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosaic landscapes under shifting cultivation, with their dynamic mix of managed and natural land covers, often fall through the cracks in remote sensing-based land cover and land use classifications, as these are unable to adequately capture such landscapes' dynamic nature and complex spectral and spatial signatures. But information about such landscapes is urgently needed to improve the outcomes of global earth system modelling and large-scale carbon and greenhouse gas accounting. This study combines existing global Landsat-based deforestation data covering the years 2000 to 2014 with very high-resolution satellite imagery to visually detect the specific spatio-temporal pattern of shifting cultivation at a one-degree cell resolution worldwide. The accuracy levels of our classification were high with an overall accuracy above 87%. We estimate the current global extent of shifting cultivation and compare it to other current global mapping endeavors as well as results of literature searches. Based on an expert survey, we make a first attempt at estimating past trends as well as possible future trends in the global distribution of shifting cultivation until the end of the 21st century. With 62% of the investigated one-degree cells in the humid and sub-humid tropics currently showing signs of shifting cultivation-the majority in the Americas (41%) and Africa (37%)-this form of cultivation remains widespread, and it would be wrong to speak of its general global demise in the last decades. We estimate that shifting cultivation landscapes currently cover roughly 280 million hectares worldwide, including both cultivated fields and fallows. While only an approximation, this estimate is clearly smaller than the areas mentioned in the literature which range up to 1,000 million hectares. Based on our expert survey and historical trends we estimate a possible strong decrease in shifting cultivation over the next decades, raising issues of livelihood security and resilience among people currently depending on shifting cultivation.

Indexed as

Conservation of Natural ResourcesEnvironmentDatasets as TopicGeographyReproducibility of ResultsSatellite ImagerySpatio-Temporal Analysis

Identifiers

PMID28886132
PMCPMC5590965

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.