Performs multivariate community ecology analyses including ordination, diversity metrics, and assemblage comparisons. Use this skill when the user mentions species composition, NMDS, PCA ordination, PERMANOVA, beta diversity, alpha diversity, species richness, Bray-Curtis dissimilarity, indicator species analysis, cluster analysis, species-by-site matrices, diversity indices, or assemblage structure comparisons.
Guides predictor selection, collinearity checks, cross-validation strategy, and hyperparameter tuning for ecological predictive models. Use this skill when the user mentions VIF, collinearity, feature selection, spatial cross-validation, block CV, hyperparameter tuning, overfitting prevention, data leakage auditing, background point selection, pseudo-absence generation, ENMeval tuning, regularization, or spatial autocorrelation correction.
Quantifies ecological impacts using BACI designs, landscape fragmentation metrics, and pressure indices. Use this skill when the user mentions BACI analysis, before-after-control-impact, impact assessment, disturbance effects, land use change impacts, fragmentation metrics, landscape metrics, pressure or threat indices, intervention effectiveness, management outcome evaluation, or control-impact comparisons.
Maps and quantifies ecosystem services including carbon stocks, water yield, soil erosion, and habitat quality with trade-off analysis. Use this skill when the user mentions ecosystem services, InVEST models, ES mapping, carbon sequestration, water yield estimation, RUSLE erosion modeling, habitat quality, pollination services, trade-off analysis, PES (payments for ecosystem services), natural capital, or ES valuation.
Validates predictive models and quantifies uncertainty including AUC/TSS metrics, calibration, extrapolation risk (MOP/MESS/ExDet), and ensemble uncertainty maps. Use this skill when the user needs model performance evaluation, ROC curves, cross-validation results, calibration curves, overfitting diagnostics, prediction intervals, bootstrap uncertainty, sensitivity/specificity assessment, or extrapolation risk analysis.
Runs frequentist statistical analyses including GLMs, GLMMs, model selection, and assumption diagnostics for ecological data. Use this skill when the user needs statistical tests, linear or mixed models, ANOVA, effect sizes, confidence intervals, AIC-based model selection, residual diagnostics, overdispersion checks, regression analysis, p-value interpretation, normality tests, or hypothesis testing on ecological datasets.
Detects trends, breakpoints, and recovery trajectories in environmental time series data from remote sensing or field measurements. Use this skill when the user mentions time series analysis, NDVI/EVI/LST trends, Mann-Kendall tests, Sen slope, BFAST breakpoints, structural change detection, seasonal decomposition (STL), anomaly detection, recovery trajectories, regime shifts, or pixel-wise trend analysis.
Fits single-season and dynamic occupancy models that account for imperfect detection in wildlife survey data. Use this skill when the user mentions occupancy estimation, detection probability, imperfect detection, detection histories, repeated visits, MacKenzie models, psi estimation, dynamic occupancy (colonization/extinction), goodness-of-fit testing (c-hat), site occupancy, or unmarked package analyses.