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Cited by 544

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Cash for carbon: A randomized trial of payments for ecosystem services to reduce deforestation

Jayachandran, Seema, de Laat, Joost, Lambin, Eric F., Stanton, Charlotte Y., Audy, Robin, Thomas, Nancy E.·2017·Science

Abstract

Ecosystem protection payments pay off: Trees take up a lot of CO 2 , so one approach to reducing the rate of increase in atmospheric CO 2 levels is to reduce the cutting down of trees. Jayachandran et al. evaluated a program in which forest owners in Uganda were paid to not cut down their trees. Encouragingly, payments did reduce deforestation, and owners did not compensate by cutting down trees in neighboring forests. Furthermore, even in a scenario where cutting resumed after payments ceased, the beneficial delay in CO 2 release from cut trees, as quantified by the social cost of carbon, outweighed the monetary cost. Science , this issue p. 267

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Crossref · 10.1126/science.aan0568

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Metadata

Authors
Jayachandran, S., de Laat, J., Lambin, E. F., Stanton, C. Y., Audy, R., & Thomas, N. E.
Venue
Science
Published
2017-07-21
Volume
357
Issue
6348
Pages
267-273
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3023894730
Cited by
544
References
39
FWCI
33.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cash for carbon: A randomized trial of payments for ecosystem services to reduce deforestation. https://app.cochat.ai/papers/10.1126/science.aan0568
The paper
Jayachandran, S., de Laat, J., Lambin, E. F., Stanton, C. Y., Audy, R., & Thomas, N. E. (2017). Cash for carbon: A randomized trial of payments for ecosystem services to reduce deforestation. Science. https://doi.org/10.1126/science.aan0568

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.