Results 201 to 210 of about 199,504 (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

Evaluation on spatiotemporal consistency between solar-induced chlorophyll fluorescence and vegetation indices in grassland ecosystems. [PDF]

PLoS One
Yu L, Liu Z, Li Y.
europepmc   +1 more source

Temporal shifts in kelp forest structure and distribution largely reflect recent ocean warming trends

Ecography, EarlyView.
Ocean warming is driving the redistribution of species at a global scale. Biogeographic transition zones are hotspots of species range shifts, as both warm‐ and cold‐adapted species are found toward contrasting range edges. While anecdotal evidence suggests some distributional shifts have occurred in the northeast Atlantic, the empirical evidence base ...
Nora Salland, Catherine M. Wilding, Cristina Galobart, Kathryn E. Smith, Nathan G. King, Michael T. Burrows, Dan A. Smale   +6 more
wiley   +1 more source

Characterization of Hazelnut Trees in Open Field Through High-Resolution UAV-Based Imagery and Vegetation Indices. [PDF]

Sensors (Basel)
Morisio M, Noris E, Pagliarani C, Pavone S, Moine A, Doumet J, Ardito L.   +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

Mapping forest cover change and estimating carbon stock using satellite-derived vegetation indices in Alemsaga forest, Ethiopia. [PDF]

PLoS One
Tigabu A, Gessesse AA.
europepmc   +1 more source

Hot spots or hot moments? Contextualizing the spatio‐temporal scale of research on animal inputs

Ecography, EarlyView.
Mammals play important roles in redistributing elements across ecosystems, concentrating biogeochemical inputs across both space and time. However, research on zoogeochemical inputs is often constrained by logistical considerations, potentially limiting our knowledge of mammals' impacts on biogeochemical patterns and processes.
Kristy M. Ferraro, Elizabeth S. Forbes, Andrew J. Abraham, Julia D. Monk   +3 more
wiley   +1 more source

The fusion of vegetation indices increases the accuracy of cotton leaf area prediction. [PDF]

Front Plant Sci
Fan X, Gao P, Zhang M, Cang H, Zhang L, Zhang Z, Wang J, Lv X, Zhang Q, Ma L.   +9 more
europepmc   +1 more source

Inverse sky islands: lowland river valleys drive microbial divergence while high elevations select for convergence in massive mountain ecosystems

Ecography, EarlyView.
Mountain ecosystems are often interpreted through the lens of the ‘sky island' model, where high‐elevation habitats function as isolated archipelagos. However, this model's applicability to massive, topographically complex mountain ranges where highlands are continuous and lowlands are fragmented remains untested.
Yazhou Zhang, J. Aaron Hogan, Jianjun Wang, Wenguang Sun, Yaojun Ye, Xin Liu, Minshu Song, Hang Sun   +7 more
wiley   +1 more source

Detecting Sensitive Spectral Bands and Vegetation Indices for Potato Yield Using Handheld Spectroradiometer Data. [PDF]

Plants (Basel)
Gomez D, Salvador P, Rodrigo JF, Gil J.
europepmc   +1 more source