Biomass patterns in Srivilliputhur Wildlife Sanctuary: exploring factors and gradients with machine learning approach

Forest biomass plays a crucial role in the global carbon cycle as a significant contributor derived from both soil and trees. This study focuses on investigating tree carbon stock (TCS) and estimating aboveground biomass (AGB) based on elevation within the Srivilliputhur Wildlife Sanctuary forest, w...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Environmental monitoring and assessment 2024-05, Vol.196 (5), p.434-434, Article 434
Hauptverfasser:	Jaiswal, Neha, Jayakumar, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	aboveground biomass Algorithms Atmospheric Protection/Air Quality Control/Air Pollution Biomass Carbon Carbon cycle carbon sinks Climate change conservation areas Earth and Environmental Science Ecology Ecotoxicology Elevation Environment Environmental Management Estimation Forest biomass Forest ecosystems forests Generalized linear models global carbon budget Learning algorithms Machine learning Monitoring/Environmental Analysis Precipitation regression analysis Root-mean-square errors Sanctuaries soil Species richness Stand structure Statistical models temperature Terrestrial ecosystems tree and stand measurements Trees Wildlife Wildlife refuges Wildlife sanctuaries
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!