Utilizing digitized occurrence records of Midwestern feral Cannabis sativa to develop ecological niche models.

ABSTRACT: Hemp (Cannabis sativa L.) has historically played a vital role in agriculture across the globe. Feral and wild populations have served as genetic resources for breeding, conservation, and adaptation to changing environmental conditions. However, feral populations of Cannabis, specifically in the Midwestern United States, remain poorly understood. This study aims to characterize the abiotic tolerances of these populations, estimate suitable areas, identify regions at risk of abiotic suitability change, and highlight the utility of ecological niche models (ENMs) in germplasm conservation. The Maxent algorithm was used to construct a series of ENMs. Validation metrics and MOP (Mobility-oriented Parity) analysis were used to assess extrapolation risk and model performance. We also proje

SUBMITTER: Ford T 

PROVIDER: S-EPMC11239322 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature