Cargando…
Spatially-explicit models of global tree density
Remote sensing and geographic analysis of woody vegetation provide means of evaluating the distribution of natural resources, patterns of biodiversity and ecosystem structure, and socio-economic drivers of resource utilization. While these methods bring geographic datasets with global coverage into...
Autores principales: | Glick, Henry B., Bettigole, Charlie, Maynard, Daniel S., Covey, Kristofer R., Smith, Jeffrey R., Crowther, Thomas W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986544/ https://www.ncbi.nlm.nih.gov/pubmed/27529613 http://dx.doi.org/10.1038/sdata.2016.69 |
Ejemplares similares
-
A spatially-explicit harmonized global dataset of critical infrastructure
por: Nirandjan, Sadhana, et al.
Publicado: (2022) -
ClimCKmap, a spatially, temporally and climatically explicit distribution database for the Italian fauna
por: Marta, Silvio, et al.
Publicado: (2019) -
The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe
por: Martínez-Sancho, Elisabet, et al.
Publicado: (2020) -
Gridded livestock density database and spatial trends for Kazakhstan
por: Kolluru, Venkatesh, et al.
Publicado: (2023) -
The temporal geographically-explicit network of public transport in Changchun City, Northeast China
por: Huang, Qiuyang, et al.
Publicado: (2019)