Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …

Background The soil represents a reservoir that contains at least twice as much carbon as
does the atmosphere, yet (apart from 'root crops') mainly just the above-ground plant …

Forest Growth and Yield Modeling synthesizes current scientific literature and provides
insights in how models are constructed. Giving suggestions for future developments, and …

Spatio-temporal fields of land–atmosphere fluxes derived from data-driven models can
complement simulations by process-based land surface models. While a number of …

We document changes in forest structure between historical (1930s) and contemporary
(2000s) surveys of California vegetation through comparisons of tree abundance and size …

The integration of functional traits into vulnerability assessments is a promising approach to
quantitatively capture differences in species sensitivity and adaptive capacity to climate …

Remote sensing, the science of obtaining information via noncontact recording, has swept
the fields of ecology, biodiversity and conservation (EBC). Several quality review papers …

Climate change has the potential to reduce surface-water supply by expanding the activity,
density, or coverage of upland vegetation, although the likelihood and severity of this effect …

Progress in machine learning in conjunction with the increasing availability of relevant Earth
observation data streams may help to overcome uncertainties of global hydrological models …

Plant rooting depth (Zr) is a key parameter in hydrological and biogeochemical models, yet
the global spatial distribution of Zr is largely unknown due to the difficulties in its direct …