User profiles for Masahiro Ryo
Masahiro RyoProfessor of Environmental Data Science, Leibniz Centre for Agricultural Landscape … Verified email at zalf.de Cited by 3337 |
[HTML][HTML] Basic principles of temporal dynamics
M Ryo, CA Aguilar-Trigueros, L Pinek… - Trends in ecology & …, 2019 - cell.com
All ecological disciplines consider temporal dynamics, although relevant concepts have
been developed almost independently. We here introduce basic principles of temporal …
been developed almost independently. We here introduce basic principles of temporal …
The role of multiple global change factors in driving soil functions and microbial biodiversity
Soils underpin terrestrial ecosystem functions, but they face numerous anthropogenic
pressures. Despite their crucial ecological role, we know little about how soils react to more than …
pressures. Despite their crucial ecological role, we know little about how soils react to more than …
Statistically reinforced machine learning for nonlinear patterns and variable interactions
Most statistical models assume linearity and few variable interactions, even though real‐world
ecological patterns often result from nonlinear and highly interactive processes. We here …
ecological patterns often result from nonlinear and highly interactive processes. We here …
Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models
Species distribution models (SDMs) are widely used in ecology, biogeography and
conservation biology to estimate relationships between environmental variables and species …
conservation biology to estimate relationships between environmental variables and species …
[HTML][HTML] Framework to guide modeling single and multiple abiotic stresses in arable crops
With the occurrence of extreme events projected to increase under climate change, it is critical
to assess the risk they pose to food security and identify suitable adaptation options. While …
to assess the risk they pose to food security and identify suitable adaptation options. While …
[HTML][HTML] Ten deep learning techniques to address small data problems with remote sensing
Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is often …
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is often …
Application of the microbial community coalescence concept to riverine networks
Flows of water, soil, litter, and anthropogenic materials in and around rivers lead to the mixing
of their resident microbial communities and subsequently to a resultant community distinct …
of their resident microbial communities and subsequently to a resultant community distinct …
Improving quantitative synthesis to achieve generality in ecology
Synthesis of primary ecological data is often assumed to achieve a notion of ‘generality’,
through the quantification of overall effect sizes and consistency among studies, and has …
through the quantification of overall effect sizes and consistency among studies, and has …
[HTML][HTML] Multiple anthropogenic pressures eliminate the effects of soil microbial diversity on ecosystem functions in experimental microcosms
Biodiversity is crucial for the provision of ecosystem functions. However, ecosystems are now
exposed to a rapidly growing number of anthropogenic pressures, and it remains unknown …
exposed to a rapidly growing number of anthropogenic pressures, and it remains unknown …
[HTML][HTML] Direct and indirect effects of a pH gradient bring insights into the mechanisms driving prokaryotic community structures
Background pH is frequently reported as the main driver for prokaryotic community structure
in soils. However, pH changes are also linked to “spillover effects” on other chemical …
in soils. However, pH changes are also linked to “spillover effects” on other chemical …