Unknown

Dataset Information

Distribution model and prediction of the tree fern Alsophila costularis Baker (Cyatheaceae) in China.


ABSTRACT: Climatic change is a challenge for plant conservation due to plants' limited dispersal abilities. The survival and sustainable development of plants directly depend on the availability of suitable habitats. In this study, we employed an optimized MaxEnt model to evaluate the relative contribution of each environmental variable and predict the suitable habitat for Alsophila costularis under past, current, and future periods, which is an endangered relict tree fern known as a living fossil. For the Last Glacial Maximum (LGM) and Mid-Holocene scenarios, we adopted two atmosphere-ocean general circulation models: CCSM4 and MIROC-ESM. The BCC-CSM2-MR model was used for future projections. The results revealed that temperature annual range (Bio7) contributed most to the model construction

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11192646 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature