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  5. Land-Management Options for Greenhouse Gas Removal and Their Impacts on Ecosystem Services and the Sustainable Development Goals

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Article
en
2019

Land-Management Options for Greenhouse Gas Removal and Their Impacts on Ecosystem Services and the Sustainable Development Goals

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en
2019
Vol 44 (1)
Vol. 44
DOI: 10.1146/annurev-environ-101718-033129

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Pete Smith
Pete Smith

University of Aberdeen

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Pete Smith
Justin Adams
David J. Beerling
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Abstract

Land-management options for greenhouse gas removal (GGR) include afforestation or reforestation (AR), wetland restoration, soil carbon sequestration (SCS), biochar, terrestrial enhanced weathering (TEW), and bioenergy with carbon capture and storage (BECCS). We assess the opportunities and risks associated with these options through the lens of their potential impacts on ecosystem services (Nature's Contributions to People; NCPs) and the United Nations Sustainable Development Goals (SDGs). We find that all land-based GGR options contribute positively to at least some NCPs and SDGs. Wetland restoration and SCS almost exclusively deliver positive impacts. A few GGR options, such as afforestation, BECCS, and biochar potentially impact negatively some NCPs and SDGs, particularly when implemented at scale, largely through competition for land. For those that present risks or are least understood, more research is required, and demonstration projects need to proceed with caution. For options that present low risks and provide cobenefits, implementation can proceed more rapidly following no-regrets principles.

How to cite this publication

Pete Smith, Justin Adams, David J. Beerling, Tim Beringer, Katherine Calvin, Sabine Fuss, Bronson W. Griscom, Nikolas Hagemann, Claudia Kammann, Florian Kraxner, Jan C. Minx, Alexander Popp, Phil Renforth, José Luis Vicente‐Vicente, Saskia Keesstra (2019). Land-Management Options for Greenhouse Gas Removal and Their Impacts on Ecosystem Services and the Sustainable Development Goals. , 44(1), DOI: https://doi.org/10.1146/annurev-environ-101718-033129.

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Publication Details

Type

Article

Year

2019

Authors

15

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1146/annurev-environ-101718-033129

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