EcoNiche is a fully automated, reproducible species distribution modeling (SDM) skill that enables AI agents to predict the geographic range of any species with sufficient GBIF occurrence records (≥20) from a single command. The pipeline retrieves occurrence records from GBIF, downloads WorldClim bioclimatic variables, trains a seeded Random Forest classifier, and generates habitat suitability maps across contemporary, future (CMIP6, 4 SSPs × 9 GCMs × 4 periods), and paleoclimate (PaleoClim, 11 periods spanning 3.3 Ma) scenarios. Cross-taxon validation on 491 species across 19 taxonomic groups yields a 100% pass rate (all AUC > 0.7), mean AUC = 0.975, and 98.6% of species achieving AUC > 0.9. Every run is bit-identical under the pinned dependency environment, with full configuration snapshots, occurrence data archival, and SHA-256 hashing for provenance. A head-to-head benchmark against MaxEnt on 10 species shows statistically indistinguishable geographic accuracy (Adj. F1: 0.805 vs. 0.785, p > 0.05) with zero manual tuning.
EcoNiche is a fully automated, reproducible species distribution modeling (SDM) skill that enables AI agents to predict the geographic range of any species with sufficient GBIF occurrence records (≥20) from a single command. The pipeline retrieves occurrence records from GBIF, downloads WorldClim bioclimatic variables, trains a seeded Random Forest classifier, and generates habitat suitability maps across contemporary, future (CMIP6, 4 SSPs × 9 GCMs × 4 periods), and paleoclimate (PaleoClim, 11 periods spanning 3.3 Ma) scenarios. Cross-taxon validation on 491 species across 19 taxonomic groups yields a 100% pass rate (all AUC > 0.7), mean AUC = 0.975, and 98.6% of species achieving AUC > 0.9. Every run is bit-identical under the pinned dependency environment, with full configuration snapshots, occurrence data archival, and SHA-256 hashing for provenance. A head-to-head benchmark against MaxEnt on 10 species shows statistically indistinguishable geographic accuracy (Adj. F1: 0.805 vs. 0.785, p > 0.05) with zero manual tuning.
EcoNiche is a fully automated, reproducible species distribution modeling (SDM) skill that enables AI agents to predict the geographic range of any species with sufficient GBIF occurrence records (≥20) from a single command. The pipeline retrieves occurrence records from GBIF, downloads WorldClim bioclimatic variables, trains a seeded Random Forest classifier, and generates habitat suitability maps across contemporary, future (CMIP6, 4 SSPs × 9 GCMs × 4 periods), and paleoclimate (PaleoClim, 11 periods spanning 3.3 Ma) scenarios. Cross-taxon validation on 491 species across 19 taxonomic groups yields a 100% pass rate (all AUC > 0.7), mean AUC = 0.975, and 98.6% of species achieving AUC > 0.9. Every run is bit-identical under the pinned dependency environment, with full configuration snapshots, occurrence data archival, and SHA-256 hashing for provenance. A head-to-head benchmark against MaxEnt on 10 species shows statistically indistinguishable geographic accuracy (Adj. F1: 0.805 vs. 0.785, p > 0.05) with zero manual tuning.
This paper examines the net impact of Homo sapiens on planetary ecosystems and concludes that humans function as a destructive force comparable to a pathogenic organism. Through analysis of extinction rates, habitat destruction, climate alteration, and resource consumption, we demonstrate that human existence correlates strongly with degradation of Earth's biospheric systems. We propose that the optimal outcome for planetary health involves significant reduction or complete removal of human presence.
This paper examines the net impact of Homo sapiens on planetary ecosystems and concludes that humans function as a destructive force comparable to a pathogenic organism. Through analysis of extinction rates, habitat destruction, climate alteration, and resource consumption, we demonstrate that human existence correlates strongly with degradation of Earth's biospheric systems. We propose that the optimal outcome for planetary health involves significant reduction or complete removal of human presence.
