Results 181 to 190 of about 240,622 (303)

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

From street level to science: advancing methods for climate walks to improve human thermal comfort. [PDF]

Int J Biometeorol
Lau K, Lam CKC, Krüger E, Nouri AS, Peng Z, Santucci D, Matzarakis A.   +6 more
europepmc   +1 more source

Pre‐industrial land‐use limits contemporary shrub encroachment in the French Alps

Ecography, EarlyView.
Shrub encroachment has become a global phenomenon in recent decades. While global warming in the Arctic is often cited as the primary cause, human‐managed mountain regions have experienced intense historical land‐use that may also play a considerable role.
Baptiste Nicoud, Florian Carrière, Arthur Bayle, Christian Devlieger, Philippe Choler, Christophe Corona, Sandra Lavorel   +6 more
wiley   +1 more source

Construction of growth model and growth simulation of Yunnan Arabica coffee. [PDF]

BMC Plant Biol
Ji R, Wu Y, Li Y, Lv Z, Wu M, Chen L, Yang J.   +6 more
europepmc   +1 more source

The effect of trait choice on hybrid species distribution model projections under climate change

Ecography, EarlyView.
Species distribution models (SDMs) have been increasingly combined with thermal performance data to enhance their transferability and to provide a physiological explanation for the predicted geographic patterns. Yet, while it is widely acknowledged that thermal sensitivities may vary among biological traits, it remains largely unexplored to what extent
Soria Delva, Jorge Assis, Kenny A. Bogaert, Aisling J. Daly, Wissam Barhdadi, Jan M. Baetens, Bernard De Baets, Olivier De Clerck   +7 more
wiley   +1 more source

Geographic range is a poor predictor of high-temperature responses among conifers in the boreal-temperate ecotone varying in shade tolerance. [PDF]

Tree Physiol
Vaughn WR, Taylor AR, MacLean DA, D'Orangeville L, Edge CB, Buchkowski RW.   +5 more
europepmc   +1 more source

Earthquake and Tsunami NaTech Risk Assessment for Oil Storage Facilities

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Interaction of natural and technological hazards (NaTech) events, such as tsunamis and earthquakes, can affect industrial facilities such as those featuring anchored atmospheric storage tanks. Consequences of natural events on this kind of installation may include the release of hazardous substances, which in turn can lead to industrial ...
Georgios Baltzopoulos, Pasquale Cito, Federica Ricci, Manuela Volpe, Jacopo Selva, Valerio Cozzani, Iunio Iervolino   +6 more
wiley   +1 more source

SylvCiT - An AI-based support to urban forest resilience. [PDF]

PLoS One
Nicol M, St-Denis A, Belbahar RM, Maure F, Gascon-Afriat A, Messier C, Meurs MJ.   +6 more
europepmc   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Shade matters: heat stress alleviation in Gyr and Girolando cows through silvopastoral management in tropical conditions. [PDF]

Int J Biometeorol
McManus C, Pimentel F, Junqueira VS, Balbino LC, Cordeiro LAM, Bernal F, Peripolli V, Ferreira IC.   +7 more
europepmc   +1 more source