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Following centuries of deforestation, many industrialized countries have experienced an increase in forest area and biomass due to changes in land- and forest-use since the mid-20th century. At the same time, the impacts of climate change on forests are aggravating, but the interplay between past land- and forest-use (i.e. land- and forest-use legacies) and climate change in tree growth remains el
Aim: Climate change is driving increasingly frequent and intense extreme climatic events, pushing many forests worldwide beyond their physiological thresholds. Despite the major role played by forests in the global carbon cycle, climate change threatens the future potential for carbon sequestration in forests. Hence, studies of recent changes in stand productivity and the underlying drivers over l
Climate and forest structure are considered major drivers of forest demography and productivity. However, recent evidence suggests that the relationships between climate and tree growth are generally non-stationary (i.e. non-time stable), and it remains uncertain whether the relationships between climate, forest structure, demography and productivity are stationary or are being altered by recent c
In recent decades there has been an increasing demand in environmental sciences for harmonized climatic data at large spatial scales and long periods. Here we present easyclimate, a software package to obtain daily climatic data at high resolution (0.0083°, ∼1 km) with R. The package facilitates the downloading and processing of precipitation, minimum and maximum temperatures for Europe from 1950
PlotToSat is a tool that uses the Python API of Google Earth Engine (GEE) to solve the problem of creating time-series of Earth Observation (EO) data at multiple plot locations spread out within a landscape. The current version supports Sentinel-1 and Sentinel-2. It is a flexible framework though that allows easy addition of EO datasets. Using PlotToSat, we generated a Normalised Difference Vegeta
Forest structure is a key driver of forest functional processes. The characterization of forest structure across spatiotemporal scales is essential for forest monitoring and management. LiDAR data have proven particularly useful for cost-effectively estimating forest structural attributes. This paper evaluates the ability of combined forest inventory data and low-density discrete return airborne L
Context: Global change is leading to more frequent and intense tree damage and mortality events. Drought-induced tree mortality is occurring worldwide leading to broad-scale events, but the spatial patterns of tree damage and mortality, their underlying drivers and their variation over time is largely unknown. Objectives: We investigated the spatial patterns of tree damage and mortality across Med
PlotToSat offers a practical and time efficient way to the challenge of extracting time-series from multiple Earth Observation (EO) datasets at numerous plots spread across a landscape. This opens up new opportunities to understand and model various ecosystems. Regarding forest ecology, plot networks play a vital role in monitoring and understanding the dynamics of forest ecosystems. These network
Near-field focusing (NFF) is a fundamental enabler for a broad spectrum of applications utilizing large intelligent surfaces (LIS) within sub-10 GHz frequency bands. This paper investigates the impact of element pattern on NFF properties, when the LIS array is a large planar array. The NFF properties of maximum received power, focal width, and focal depth are analyzed for three typical antenna pat
The workplace is an important part of many people's lives. Many transgender and gender-diverse (TGD) individuals have negativeexperiences of their workplace due to discrimination and cisnormativity. Whether or not to be open about TGD experiences, andthe degree of openness, is something many TGD individuals struggle with at work. Openness is related to well-being and job satis-faction and is thereThe workplace is an important part of many people's lives. Many transgender and gender-diverse (TGD) individuals have negative experiences of their workplace due to discrimination and cisnormativity. Whether or not to be open about TGD experiences, and the degree of openness, is something many TGD individuals struggle with at work. Openness is related to well-being and job satisfaction and is ther
According to a localist theory of event semantics, event types such as state changes and realisation of actions are based on motion events, which are taken to be the primary type of event. The present paper investigates some claims of this theory, their consequences and conceptual foundations. It argues that the theory suffers from two flaws. First, the theory proposes parallels between event type
In the midst of growing research and societal discourse on psychedelic substances, a consistent finding is reported: A majority of users report profound personal meaning from their experiences. This pioneering study in Sweden, a nation renowned for its strict drug policies, sought to quantify the extent of reported meaningfulness among Swedish psychedelic users. Results revealed that a majority of
Background and objective The Scania Accelerated Intermittent Theta-burst Implementation Study (SATIS) aimed to investigate the tolerability, preliminary effectiveness, and practical feasibility of an accelerated intermittent theta burst stimulation (aTBS) protocol in treating depression. Methods We used an open-label observational design, recruiting 20 patients (aged 19–84 years) from two public b
Background: Existing research has shown that those ageing with severe mental illness face significant challenges in daily life. Attendance at community-based day centres (DCs) is offered to support daily structure and break isolation. However, little is known about the experiences of those receiving this type of support while transitioning into retirement age. Aim: To explore experiences of everyd
