Abstract Purpose of the Review Recent technological innovations in Artificial Intelligence
(AI) have successfully revolutionized many industrial processes, enhancing productivity and …

Continuous-cover forestry (CCF) is increasingly argued as an alternative to clear-cut
harvesting in managed boreal forests to improve water quality and quantity, biodiversity, and …

Drainage for forestry has created~ 1 million km of artificial waterways in Sweden, making it
one of the largest human-induced environmental disturbances in the country. These …

Integrated long-term, in-situ observations are needed to document ongoing environmental
change, to “ground-truth” remote sensing and model outputs and to predict future Earth …

Vegetation holds the key to many properties that make natural mires unique, such as surface
microtopography, high biodiversity values, effective carbon sequestration and regulation of …

There is a growing interest in peatland restoration as a nature-based solution to mitigate
hydrological extremes. To counter the impacts of past peatland degradation and ongoing …

Novel mapping methods using AI have led to improved mapping of the extent of drainage
systems, but the full scope of the effects of drainage on ecosystems has yet to be …

Digital land use data before the age of satellites is scarce. Here, we build a machine
learning model, using Extreme Gradient Boosting, that can automatically detect land use …

Tree stems exchange greenhouse gases with the atmosphere but the magnitude, variability
and drivers of these fluxes remain poorly understood. Here, we report stem fluxes of carbon …

Following an almost century-long increase, forest growth in Sweden has abruptly decreased
during the last decade. Lower than expected forest biomass trajectories threaten national …