Concepts

Pairs of closely related species within the same genus that allow comparison while controlling for evolutionary history.

Relationships that link chemical reactions and transport using flow, transport, and reaction parameters

Extension of the Lande-Arnold selection analysis using partial regression to partition selection among levels

Spatial information modeling patterns such as shape and texture through correlation between adjacent pixels to account for spectral variability

Statistical relationship between variables does not necessarily imply causal relationship

An approach where an intermediate software maintains a catalog and retrieves data on demand from original sources

A temporary restriction on data access to allow original researchers time to publish their analyses

Software system that provides generic framework for creation of synthesized datasets for use in scientific analysis, modeling, and visualization by connecting to diverse data sources and transforming ...

Standardized workflow for converting raw analytical chemistry data into datasets ready for statistical analysis

A statistically-defined avalanche size (typically 100-300 year return period) used for engineering and land-use planning

Study of organisms that transmit pathogens between hosts, particularly focusing on their distribution and abundance

Network of spatially distributed sensors for collaborative acoustic monitoring and processing

A globally distributed experimental network that can be used to disentangle the direct and indirect effects of climate change by utilizing natural environmental gradients to better understand long-ter...

Pattern of ecological disturbances created by beaver activity that favors species adapted to highly variable environments

The process of generating model-based, quantitative predictions of the future state and dynamics of an ecological system

Integrated infrastructure dealing with all aspects of sensor-based measurements from data acquisition, curation, quality analysis and control, integration with other data systems, visualization, and d...

Bayesian data assimilation technique using Monte Carlo ensemble to approximate probability distributions for parameter estimation

Mathematical relationship among state variables that describes the system independent of how those values were achieved

Ensuring that fieldwork safety accommodates different identities and experiences, and that safety cannot be promoted except through explicit consideration of power dynamics and workers' identities

Statistical methods for extrapolating rare event magnitudes from historical data

A worker can reasonably and informedly expect to come home without harm to their physical or emotional well-being and that if harm should occur, that a path toward repair is accessible

Solid phase evidence of past biogeochemical processes that can be detected even when the processes are no longer active

Classification of species based on ecological traits like nesting habits, diet, sociality, and body size rather than phylogenetic relationships

The study of how morphological structures relate to their function, in this case how syrphid pile density affects pollen capture

Species characteristics including body mass, nest location, and overwintering stage that influence phenological responses

Process of developing and testing conceptual geological hypotheses against geophysical data to understand subsurface processes

Rules defining how a scientific discipline governs research on landform origins and development

Mode emphasizing horror, dread, entrapment, and spectral or supernatural elements

Taxonomically or functionally related species grouped together, such as trophic levels, functional groups, and guilds

Experimental design where subjects are habituated to repeated stimuli from one source then tested with novel stimuli to assess discrimination abilities

Legal frameworks governing when, where, and how many game animals can be harvested including bag limits, possession limits, season length and timing, and area closures

Approach combining process-based physical models with empirical statistical relationships

Modeling approach that integrates machine learning with meteorological data, remote sensing, and either flux measurements or mechanistic model outputs