Gap Shape Classification using Landscape Indices and Multivariate Statistics

This study proposed a novel methodology to classify the shape of gaps using landscape indices and multivariate statistics. Patch-level indices were used to collect the qualified shape and spatial configuration characteristics for canopy gaps in the Lienhuachih Experimental Forest in Taiwan in 1998 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Chih-Da, Cheng, Chi-Chuan, Chang, Che-Chang, Lin, Chinsu, Chang, Kun-Cheng, Chuang, Yung-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128799/
https://www.ncbi.nlm.nih.gov/pubmed/27901127
http://dx.doi.org/10.1038/srep38217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128799/
https://www.ncbi.nlm.nih.gov/pubmed/27901127
http://dx.doi.org/10.1038/srep38217

Ejemplares similares