Global climate change and <i>Macadamia</i> habitat suitability: MaxEnt-based prediction under future scenarios.
Ontology highlight
ABSTRACT: Global climate change poses a major challenge for contemporary forestry. Macadamia is an economically valuable tree genus that is widely cultivated across multiple countries and regions. However, few studies have focused on its adaptive distribution and spatiotemporal dynamics under projected global warming scenarios. In this study, we collected the global occurrence records of two commercial Macadamia species (Macadamia integrifolia Maiden & Betche and Macadamia tetraphylla L.A.S. Johnson) and employed a parameter-optimized MaxEnt model to project their suitable habitats under current and future climate scenarios. The optimized model exhibited excellent predictive performance (AUC = 0.979), with a regularization multiplier of 0.5 and linear-quadratic-hinge feat
SUBMITTER: Li Y
PROVIDER: S-EPMC12460475 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature
ACCESS DATA