Cargando…

Emergent vulnerability to climate-driven disturbances in European forests

Forest disturbance regimes are expected to intensify as Earth’s climate changes. Quantifying forest vulnerability to disturbances and understanding the underlying mechanisms is crucial to develop mitigation and adaptation strategies. However, observational evidence is largely missing at regional to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Forzieri, Giovanni, Girardello, Marco, Ceccherini, Guido, Spinoni, Jonathan, Feyen, Luc, Hartmann, Henrik, Beck, Pieter S. A., Camps-Valls, Gustau, Chirici, Gherado, Mauri, Achille, Cescatti, Alessandro
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902618/ https://www.ncbi.nlm.nih.gov/pubmed/33623030 http://dx.doi.org/10.1038/s41467-021-21399-7

Ejemplares similares

EU-Trees4F, a dataset on the future distribution of European tree species
por: Mauri, Achille, et al.
Publicado: (2022)

Author Correction: EU-Trees4F, a dataset on the future distribution of European tree species
por: Mauri, Achille, et al.
Publicado: (2023)

Emerging signals of declining forest resilience under climate change
por: Forzieri, Giovanni, et al.
Publicado: (2022)

A Sentinel-2 derived dataset of forest disturbances occurred in Italy between 2017 and 2020
por: Francini, Saverio, et al.
Publicado: (2022)

Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu et al.
por: Camps-Valls, Gustau
Publicado: (2022)

Empirical evidence of declining global vulnerability to climate-related hazards
por: Formetta, Giuseppe, et al.
Publicado: (2019)

Vegetation-based climate mitigation in a warmer and greener World
por: Alkama, Ramdane, et al.
Publicado: (2022)

Integrating GEDI and Landsat: Spaceborne Lidar and Four Decades of Optical Imagery for the Analysis of Forest Disturbances and Biomass Changes in Italy
por: Francini, Saverio, et al.
Publicado: (2022)

Kernel Manifold Alignment for Domain Adaptation
por: Tuia, Devis, et al.
Publicado: (2016)

Predicting regional coastal sea level changes with machine learning
por: Nieves, Veronica, et al.
Publicado: (2021)

Escalating impacts of climate extremes on critical infrastructures in Europe
por: Forzieri, Giovanni, et al.
Publicado: (2018)

A perspective on Gaussian processes for Earth observation
por: Camps-Valls, Gustau, et al.
Publicado: (2019)

HARCI-EU, a harmonized gridded dataset of critical infrastructures in Europe for large-scale risk assessments
por: Batista e Silva, Filipe, et al.
Publicado: (2019)

An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
por: Parisi, Francesco, et al.
Publicado: (2022)

Contrasting vulnerability of monospecific and species‐diverse forests to wind and bark beetle disturbance: The role of management
por: Dobor, Laura, et al.
Publicado: (2020)

Genetic diversity and kelp forest vulnerability to climatic stress
por: Wernberg, Thomas, et al.
Publicado: (2018)

Inferring causal relations from observational long-term carbon and water fluxes records
por: Díaz, Emiliano, et al.
Publicado: (2022)

A prospective study on body image disturbances during pregnancy and postpartum: the role of cognitive reappraisal
por: Spinoni, Marta, et al.
Publicado: (2023)

Forest disturbances and climate constrain carbon allocation dynamics in trees
por: Gea‐Izquierdo, Guillermo, et al.
Publicado: (2022)

On the realistic contribution of European forests to reach climate objectives
por: Grassi, Giacomo, et al.
Publicado: (2019)

Are forest disturbances amplifying or canceling out climate change-induced productivity changes in European forests?
por: Reyer, Christopher P O, et al.
Publicado: (2017)

The New Hyperspectral Satellite PRISMA: Imagery for Forest Types Discrimination
por: Vangi, Elia, et al.
Publicado: (2021)

Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
por: Johnson, J. Emmanuel, et al.
Publicado: (2020)

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
por: Svendsen, Daniel Heestermans, et al.
Publicado: (2020)

Correction: Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
por: Johnson, J. Emmanuel, et al.
Publicado: (2021)

Soil Charcoal to Assess the Impacts of Past Human Disturbances on Tropical Forests
por: Vleminckx, Jason, et al.
Publicado: (2014)

Soil and vegetation water content identify the main terrestrial ecosystem changes
por: Bueso, Diego, et al.
Publicado: (2023)

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
por: Berger, Katja, et al.
Publicado: (2020)

Disturbance history mediates climate change effects on subtropical forest biomass and dynamics
por: Souza, Alexandre F., et al.
Publicado: (2019)

A unified vegetation index for quantifying the terrestrial biosphere
por: Camps-Valls, Gustau, et al.
Publicado: (2021)

Synergistic integration of optical and microwave satellite data for crop yield estimation
por: Mateo-Sanchis, Anna, et al.
Publicado: (2019)

A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
por: Li, Jun, et al.
Publicado: (2022)

The sensitivity of the forest carbon budget shifts across processes along with stand development and climate change
por: Collalti, Alessio, et al.
Publicado: (2019)

Size and frequency of natural forest disturbances and the Amazon forest carbon balance
por: Espírito-Santo, Fernando D.B., et al.
Publicado: (2014)

Strategic roadmap to assess forest vulnerability under air pollution and climate change
por: De Marco, Alessandra, et al.
Publicado: (2022)

EU-Forest, a high-resolution tree occurrence dataset for Europe
por: Mauri, Achille, et al.
Publicado: (2017)

Climate change amplifies the interactions between wind and bark beetle disturbances in forest landscapes
por: Seidl, Rupert, et al.
Publicado: (2016)

Recovery and resilience of tropical forests after disturbance
por: Cole, Lydia E. S., et al.
Publicado: (2014)

Ongoing forest disturbance in Guatemala's protected areas
por: Bullock, Eric L., et al.
Publicado: (2019)

Mapping the probability of forest snow disturbances in Finland
por: Suvanto, Susanne, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5bnsdhnaf4b8ett32s19tjh9vl