El carbono orgánico del suelo es un elemento importante para la salud de los ecosistemas y del clima. En la actualidad la teledetección permite a los científicos observar globalmente esta importante pieza del rompecabezas del carbono.
Data sets
Particles at the Ocean Surface and Seafloor Aren’t So Different
Despite occurring on different scales, flux measurements throughout the water column share log-normal probability distributions.
Tropical Forests May Have More Canopy Than Previously Thought
A rare attempt to directly estimate leaf area in a tropical African broadleaved forest suggests that there may be more tree foliage than previously estimated.
A Step Closer to Quantifying Global Photosynthesis in Real Time
High spatial and temporal resolutions of a data set on a proxy for plant photosynthesis, as well as contiguous global coverage, have great utility for a variety of applications.
Soil Moisture Data Sets Become Fertile Ground for Applications
An integrated data platform harmonizes many disparate soil moisture data sets to better inform disaster response planners, climate scientists and meteorologists, farmers, and others.
The Fate of Root Carbon in Soil: Data and Model Gaps
Root Trait and Soil Carbon Workshop; Oak Ridge National Laboratory, Oak Ridge, Tennessee, 31 July to 1 August 2018
The ILAMB System for Benchmarking Land Surface Models
An evolving set of tools helps land surface model developers optimize the realism of their parameterizations for the next generation of weather and climate models.
Long-term Dataset Reveals How Management Affects River Biology
River systems are affected by societies against a backdrop of climate change. A new dataset reveals how these forces affect river flow, chemistry, and the biological health of the river.
It’s So UnFAIR!
A recent paper in JGR: Biogeosciences demonstrates that sharing data has positive benefits not just for the scientific community but also for the one doing the sharing.
Major Uncertainty in Estimates of Carbon Trapped in Soil
A new study reveals discrepancies between global databases and field measurements.
