The role of predictive model data in designing mangrove forest carbon programs
Estimating baseline carbon stocks is a key step in designing forest carbon programs. While field inventories are resource-demanding, advances in predictive modeling are now providing globally coterminous datasets of carbon stocks at high spatial resolutions that may meet this data need. However, it...
Main Authors: | Jacob J Bukoski, Angie Elwin, Richard A MacKenzie, Sahadev Sharma, Joko Purbopuspito, Benjamin Kopania, Maybeleen Apwong, Roongreang Poolsiri, Matthew D Potts |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2020-01-01
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Series: | Environmental Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/ab7e4e |
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