Applying Bayesian Belief Networks to Assess Alpine Grassland Degradation Risks: A Case Study in Northwest Sichuan, China
Grasslands are crucial components of ecosystems. In recent years, owing to certain natural and socio-economic factors, alpine grassland ecosystems have experienced significant degradation. This study integrated the frequency ratio model (FR) and Bayesian belief networks (BBN) for grassland degradati...
Guardado en:
Autores principales: | Shuang Zhou, Li Peng |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e02c7f03942a4f31b92c1b9edc691697 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Soil bacterial community responses to short-term grazing exclusion in a degraded alpine shrubland – grassland ecotone
por: Jinlan Wang, et al.
Publicado: (2021) -
The Mixed Addition of Biochar and Nitrogen Improves Soil Properties and Microbial Structure of Moderate–Severe Degraded Alpine Grassland in Qinghai-Tibet Plateau
por: Jinsheng Li, et al.
Publicado: (2021) -
High-efficient analysis system for massive data of alpine grassland based on Hive
por: LI Liangdan, et al.
Publicado: (2021) -
Stages of grassland degradation in subalpine ecosystems of the Central Caucasus, Russia
por: Chadaeva,Victoria, et al.
Publicado: (2021) -
Characterization of the spatial distribution of plateau pika burrows along an alpine grassland degradation gradient on the Qinghai–Tibet Plateau
por: Dawen Qian, et al.
Publicado: (2021)