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Predicting global intraspecific trait variation of grasses
Plant traits are important for understanding community assembly and ecosystem processes, yet our understanding of intraspecific trait variation (ITV) is limited. This gap in our knowledge is partially because collecting trait data across a species' entire range is impractical, let alone across the ranges of multiple species within a plant family. Using
Robert J. Griffin‐Nolan+2 more
wiley +1 more source
Paleoclimate data assimilation with CLIMBER-X: An ensemble Kalman filter for the last deglaciation. [PDF]
Masoum A+4 more
europepmc +1 more source
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. [PDF]
Yang X+6 more
europepmc +1 more source
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa+4 more
wiley +1 more source
First application of data assimilation-based control to fusion plasma. [PDF]
Morishita Y+11 more
europepmc +1 more source
Data assimilation for coastal zone monitoring and forecasting [PDF]
Geir Evensen, Helge Drange
openalex +1 more source
Pelagic‐feeding seabirds deliver nutrient subsidies that enhance the productivity, biodiversity, and resilience of terrestrial and marine ecosystems, particularly in nutrient‐poor tropical environments. However, the biogeophysical variables governing the fluxes of these nutrients within and among interconnected ecosystems remain poorly understood.
Courtney E. Stuart+11 more
wiley +1 more source
Quantitative relationship model between soil profile salinity and soil depth in cotton fields based on data assimilation algorithm: forecasting cotton field yields and profits. [PDF]
Gao Y+5 more
europepmc +1 more source