Estimating Soil Respiration in a Subalpine Landscape Using Point, Terrain, Climate, and Greenness Data

Landscape carbon (C) flux estimates help assess the ability of terrestrial ecosystems to buffer further increases in anthropogenic carbon dioxide (CO2) emissions. Advances in remote sensing have led to coarse‐scale estimates of gross primary productivity (GPP; e.g., MODIS 17), yet efforts to develop...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of geophysical research. Biogeosciences 2018-10, Vol.123 (10), p.3231-3249
Hauptverfasser:	Berryman, Erin M., Vanderhoof, Melanie K., Bradford, John B., Hawbaker, Todd J., Henne, Paul D., Burns, Sean P., Frank, John M., Birdsey, Richard A., Ryan, Michael G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Anthropogenic factors Aridity Carbon cycle Carbon dioxide Carbon dioxide emissions Climate Climate change Covariance Data Ecosystems Estimates Forests Growing season Landsat Landsat satellites Landscape Mathematical models Methods MODIS Mountains Precipitation Predictions Primary production Remote sensing Respiration Seasons Soil Soil mapping Soil temperature Soils Spatial data Statistical models Terrestrial ecosystems Variability Vegetation Vegetation index
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!