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...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
IOP Publishing
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/112716 |
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