Omics-driven plant breeding through phenomics-enviromics crosstalk. [PDF]
Li H +9 more
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Human Activities Have Reduced the Potential Distribution of Cotton in Xinjiang, but Climate Change Is Expected to Expand Its Future Suitable Area. [PDF]
Li J, Lou S, Zhang P, Ma T, Maimaiti P.
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Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture. [PDF]
Tulu D +4 more
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Climate-Induced Genomic Selection: Genetic Structure Variation of <i>Cornus kousa</i> subsp. <i>chinensis</i> and Its Adaptive Reaction to Future Climate Change. [PDF]
Li J, Liu Q, Gong X, Ruan L, Guan B.
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Large Variability in Response to Future Climate and Land-Use Changes of François' Langur in China. [PDF]
Zou Q +5 more
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Climate change and Plasmodium vivax Malaria Risk in Brazil: Developing adaptive tool for Brazilian Municipalities. [PDF]
C M Sousa T +9 more
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Rock Glacier Velocity: An Essential Climate Variable Quantity for Permafrost
AbstractRock glaciers are distinctive debris landforms found worldwide in cold mountainous regions. They express the long‐term movement of perennially frozen ground. Rock Glacier Velocity (RGV), defined as the time series of the annualized surface velocity of a rock glacier unit or a part of it, has been accepted as an Essential Climate Variable ...
Xavier Bodin +2 more
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Assessment of time series consistency of terrestrial Essential Climate Variables
2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017This paper presents a novel framework for assessing the physical consistency between two terrestrial Essential Climate Variables (ECVs) products retrieved from Earth Observation at global scale. The proposed methodology assesses the level of temporal and spatial agreement between them using multitemporal data.
Bernardo Mota, Nadine Gobron
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