Mapping and Monitoring Zero-Deforestation Commitments

Author:

Austin Kemen G1ORCID,Heilmayr Robert2,Benedict Jason J2,Burns David N3,Eggen Michael2,Grantham Hedley4,Greenbury Aida5,Hill Jane K6,Jenkins Clinton N7,Luskin Matthew S8,Manurung Timer9,Rasmussen Laura V10,Rosoman Grant11,Rudorff Bernardo12,Satar Musnanda13,Smith Charlotte14,Carlson Kimberly M15

Affiliation:

1. RTI International's Center for Applied Economics, Research Triangle Park, North Carolina, United States

2. Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States

3. International Wildlife Conservation, National Wildlife Federation, and with the World Resources Institute's Climate Program, Washington, DC, United States

4. Wildlife Conservation Society, Bronx, New York, United States

5. Steering Group of the High Carbon Stock Approach, Singapore

6. Department of Biology, University of York, York, North Yorkshire, United Kingdom

7. Department of Earth and Environment, Florida International University, and with the Kimberly Green Latin American and Caribbean Center, Florida International University, Miami, Florida, United States

8. The University of Queensland, Saint Lucia, Queensland, Australia

9. Auriga, Jakarta, Indonesia

10. Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

11. Global Forest Solutions, part of Greenpeace International, in Christchurch, New Zealand

12. Agrosatélite Geotecnologia Aplicada Ltda, Florianópolis, Brazil

13. Yayasan Konservasi Alam Nusantara, Jakarta, Indonesia

14. Department of Natural Resources and Environmental Management, University of Hawai'i at Manoa, Honolulu, Hawaii, United States

15. Department of Environmental Studies, New York University, New York, New York, United States

Abstract

Abstract A growing number of companies have announced zero-deforestation commitments (ZDCs) to eliminate commodities produced at the expense of forests from their supply chains. Translating these aspirational goals into forest conservation requires forest mapping and monitoring (M&M) systems that are technically adequate and therefore credible, salient so that they address the needs of decision makers, legitimate in that they are fair and unbiased, and scalable over space and time. We identify 12 attributes of M&M that contribute to these goals and assess how two prominent ZDC programs, the Amazon Soy Moratorium and the High Carbon Stock Approach, integrate these attributes into their M&M systems. These programs prioritize different attributes, highlighting fundamental trade-offs in M&M design. Rather than prescribe a one-size-fits-all solution, we provide policymakers and practitioners with guidance on the design of ZDC M&M systems that fit their specific use case and that may contribute to more effective implementation of ZDCs.

Funder

SNAPP

NCEAS

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences

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