| Autor: |
Dustin Braden, Pinki Mondal, Taejin Park, José Armando Alanís de la Rosa, Metzli Ileana Aldrete Leal, Rubi Angélica Cuenca Lara, Rafael Mayorga Saucedo, Fernando Paz, Victor Manuel Salas-Aguilar, María de Los Ángeles Soriano-Luna, Rodrigo Vargas |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Environmental Research Letters, Vol 19, Iss 1, p 014083 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1748-9326 |
| DOI: |
10.1088/1748-9326/ad193e |
| Popis: |
Information on forest extent and tree cover is required to evaluate the status of natural resources, conservation practices, and environmental policies. The challenge is that different forest definitions, remote sensing-based (RSB) products, and data availability can lead to discrepancies in reporting total forest area. Consequently, errors in forest extent can be propagated into forest biomass and carbon estimates. Here, we present a simple approach to compare forest extent estimates from seven regional and global land or tree cover RSB products at 30 m resolution across Mexico. We found substantial differences in forest extent estimates for Mexico, ranging from 387 607 km ^2 to 675 239 km ^2 . These differences were dependent on the RSB product and forest definition used. Next, we compared these RSB products with two independent forest inventory datasets at national ( n = 26 220 plots) and local scales ( n = 754 plots). The greatest accuracy among RSB products and forest inventory data was within the tropical moist forest (range 82%–95%), and the smallest was within the subtropical desert (range |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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