Integration of USGS Digital Elevation Models with National Hydrography Dataset to accurately delineate stream meanders for hydrological modeling when standard DEM resolution is insufficient.
Long-term analysis of drinking water treatment facility DBP concentrations to identify seasonal and decadal trends in organic matter export from source watersheds. Uses quarterly regulatory compliance...
Method for linking individuals in a historical cohort to their childhood census records using multiple matching criteria including name, birth date, birthplace, and parental information. Employs proba...
Analysis of long-term temperature records from weather station data to characterize climate change trends and temperature frequency distributions over multi-decade periods.
Comprehensive compilation and spatial analysis of hunting season regulations across jurisdictions over 150-year period, including digitization of harvest boundaries and calculation of area-weighted re...
Retrospective analysis of existing long-term trapping data to examine relationships between capture success and environmental variables like distance to water and riparian vegetation.
Systematic mapping and analysis of mineral assemblage distribution patterns from central pyritic zones to peripheral base-metal zones to understand paragenetic sequences and hydrothermal fluid evoluti...
Quantitative analysis of biofluorescent patterns using mark-recapture identification software to generate similarity scores between individuals by comparing key pattern points.
Acid digestion of plant and soil samples followed by Inductively Coupled Plasma-Atomic Emission Spectrometry to quantify metal concentrations in tissues. Standard laboratory protocol for elemental ana...
Calculation of species area of occupancy (AOO) using filtered GBIF occurrence records and standardized grid-based methods following IUCN guidelines for conservation assessment.
Analysis of conservation status patterns across bumble bee species categorized by tongue length using IUCN Red List assessments to test whether long-tongued species are more vulnerable.
Digital image processing workflow using ImageJ to convert fluorescence images to grayscale, define anatomical regions of interest, and quantify maximum brightness values for statistical analysis.
Uses phylogenetically independent contrasts and concentrated changes tests to examine relationships between species traits while controlling for shared evolutionary history. Employs multiple algorithm...
Logistic regression modeling with AIC-based model selection to identify climatic and habitat drivers of pika persistence, using Nagelkerke's max-rescaled R² for model evaluation.
Identification of parasitoid wasps and seed predators through morphological characteristics including size, mouth parts, and coloration, supplemented by microscopic examination.
Standard suite of sediment physical and chemical analyses including bulk density, pH, loss-on-ignition, and root biomass content to characterize biogeochemical properties of pond sediments.
Deep learning neural network model development using Keras library to automatically classify small mammal species from camera trap photographs.
Standard Kjeldahl digestion method for determining total nitrogen and phosphorus content in plant tissues through acid digestion followed by colorimetric analysis.
Spectrophotometric assay measuring phenol oxidation capacity using L-3,4-dihydroxyphenylalanine substrate with absorbance detection at 460 nm. Widely used to quantify oxidative enzyme activity includi...
Extraction of plant metabolites using methanol/acetonitrile/water solvent followed by liquid chromatography-mass spectrometry analysis. Characterizes plant metabolomic profiles for correlation with fu...
Method to reconstruct continuous daily NDVI time series from sparse Landsat satellite observations using LSTM neural networks with cloud masking and gap-filling.
Novel index combining landscape ecology fragmentation metrics to quantify snow patchiness. Integrates configuration metrics (patch number, spatial arrangement) with composition metrics (fractional cov...
Iterative procedure removing single data points, refitting models, and predicting missing values to assess model accuracy using NRMSE.
A bioinformatics and immunological approach to develop species-specific antibodies for lepidopteran FOXO and mTOR proteins using transcriptome data, sequence analysis, epitope identification, and poly...
Method to convert continuous lidar-measured snow depth to binary snow presence/absence using a fixed depth threshold. Standard approach for creating training data from airborne lidar surveys.
Statistical method to determine phenological onset and end dates using linear interpolation between census dates to estimate when 10% and 90% of samples were counted for both syrphids and flowering pl...
Assessment of linear regression performance for temperature-elevation relationships using R² values as measure of model fit. Linear lapse rates calculated only for days with exceptionally good linear ...
Statistical approach using linear mixed-effect models to partition variance in repeated morphometric measurements into individual, temporal, and measurement error components. Includes resampling analy...
Statistical analysis approach using linear regressions to test relationships between elevation and biological response variables. Includes model comparison and evaluation of various regression types i...
Systematic review and synthesis of published literature on quaking aspen ecology, fire regimes, and population dynamics in the Rocky Mountain region. Integration of findings across multiple spatial an...
Comprehensive review of published studies examining relationships between egg densities and subsequent juvenile stages across multiple taxa and ecosystems. Used established conceptual framework to pro...
Fitting logistic growth models to disease prevalence time series to extract key epidemiological parameters for subsequent environmental correlation analysis.
Comprehensive method for extracting quinolizidine and piperidine alkaloids from plant tissues using acid-base extraction followed by GC/FID and GC/MS analysis for identification and quantification.
Time-sensitive hierarchical modeling using logit link function in program MARK to analyze daily nest survival with multiple covariates and model selection using AICc criteria.
Estimation of genetic parameters including heritability and genetic variance-covariance matrices using generalized linear mixed models with Bayesian MCMC methods.
Calculation of snow and vegetation indices from MODIS spectral bands including NDSI, NDSI7, NDFSI, NDVI, and NDFSI for characterizing surface properties relevant to snow cover.
Extremely randomized trees regression model to predict subsurface electrical resistivity from surface geomorphological and vegetation parameters, enabling watershed-scale bedrock characterization.
Analysis of recorded alarm vocalizations for nonlinear acoustic phenomena including subharmonics, biphonation, deterministic chaos, entropy and goodness of pitch measures.
Maximum likelihood approach to estimate relative resistances of different matrix types to butterfly movement, modeling movement as inverse power function of distance.
Model-based clustering of morphological data using maximum likelihood methods with Bayesian Information Criterion for model selection, testing 1-9 cluster models to determine optimal population struct...
Construction of phylogenetic trees from DNA sequence alignments using maximum likelihood method with HKY model and bootstrap analysis in PAUP*.
Systematic literature review and quantitative synthesis examining how fungal symbionts modify plant responses to global change factors using effect size calculations and weighted linear models.
Systematic search, selection, and quantitative synthesis of studies examining age and sex differences in mammalian alarm call responses. Converts diverse study statistics to standardized effect sizes ...
Processing of PRISM daily precipitation and temperature data to derive snow-relevant variables through backward time accumulation from observation dates, including snowfall estimation and degree-day c...
Generalized Michaelis-Menten growth function modeling annual canopy volume change as a function of initial size and environmental covariates, with skewed-t measurement error to account for LiDAR proce...
DNA and RNA co-extraction followed by cDNA synthesis and next-generation sequencing to assess relative abundance of active versus dormant microbial operational taxonomic units. Uses ratio of rRNA to r...
Visual counting and sizing of microplastic particles followed by FTIR spectroscopic confirmation of polymer composition.
Mixed effects analysis of covariance testing effects of water availability and environmental covariates on nectar production and flower color. Includes multiple interaction terms and site as a factor.
Monte Carlo approach to quantify uncertainty in terrestrial carbon cycle responses and determine plausible ranges of human emissions compatible with specific atmospheric CO2 concentrations. Incorporat...
Systematic comparison of watershed model performance using meteorological forcing datasets at different spatial and temporal resolutions. Evaluates how forcing resolution affects simulated hydrologic ...