Deep learning in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review

Y Sun, K Deng, K Ren, J Liu, C Deng, Y ** - ISPRS Journal of …, 2024 - Elsevier
Nowadays, meteorological data plays a crucial role in various fields such as remote sensing,
weather forecasting, climate change, and agriculture. The regional and local studies call for …

Future trade-offs and synergies among ecosystem services in Mediterranean forests under global change scenarios

A Morán-Ordóñez, A Ameztegui, M De Cáceres… - Ecosystem Services, 2020 - Elsevier
Mediterranean forests play a key role in providing services and goods to society, and are
currently threatened by global change. We assessed the future provision of ecosystem …

Positive relationship between bird diversity and human mental health: an analysis of repeated cross-sectional data

J Methorst - The Lancet Planetary Health, 2024 - thelancet.com
Background An increasing body of research has examined the link between biodiversity of
birds and human mental health, but most studies only use cross-sectional data. Few studies …

Future impact of climate extremes in the Mediterranean: Soil erosion projections when fire and extreme rainfall meet

A Morán‐Ordóñez, A Duane, A Gil‐Tena… - Land Degradation & …, 2020 - Wiley Online Library
Climate change projections over the Mediterranean basin point toward an increase in
frequency and intensity of extreme events that will directly impact ecosystems resilience. In …

[HTML][HTML] Available and missing data to model impact of climate change on European forests

P Ruiz-Benito, G Vacchiano, ER Lines, CPO Reyer… - Ecological …, 2020 - Elsevier
Climate change is expected to cause major changes in forest ecosystems during the 21 st
century and beyond. To assess forest impacts from climate change, the existing empirical …

Spatial entropy for biodiversity and environmental data: The R-package SpatEntropy

L Altieri, D Cocchi, G Roli - Environmental Modelling & Software, 2021 - Elsevier
Entropy measures are standard tools in environmental and ecological sciences to describe
the heterogeneity of data. This paper reviews a selection of spatial entropy indices, some of …

ClimateDT: A global scale-free dynamic downscaling portal for historic and future climate data

M Marchi, G Bucci, P Iovieno, D Ray - Environments, 2024 - mdpi.com
Statistical downscaling of climate data has been widely described in the literature, with the
aim of improving the reliability of local climatic parameters from coarse-resolution (often> 20 …

[HTML][HTML] Using spectral indices as early warning signals of forest dieback: The case of drought-prone Pinus pinaster forests

D Moreno-Fernández, A Viana-Soto… - Science of the Total …, 2021 - Elsevier
Forest dieback processes linked to drought are expected to increase due to climate
warming. Remotely sensed data offer several advantages over common field monitoring …

Medium-range forecasting of daily reference evapotranspiration across China using numerical weather prediction outputs downscaled by extreme gradient boosting

J Fan, L Wu, J Zheng, F Zhang - Journal of hydrology, 2021 - Elsevier
Ahead forecasting of daily reference evapotranspiration (ET 0) is of great significance for
real-time irrigation decision-making, water resources allocation and hydrological drought …

Empirical models for spatio-temporal live fuel moisture content estimation in mixed mediterranean vegetation areas using sentinel-2 indices and meteorological data

JM Costa-Saura, Á Balaguer-Beser, LA Ruiz… - Remote Sensing, 2021 - mdpi.com
Live fuel moisture content (LFMC) is an input factor in fire behavior simulation models highly
contributing to fire ignition and propagation. Develo** models capable of accurately …