Prediction of Potentially Suitable Distribution Areas for Rosa laevigata
in China Based on an Optimized MaxEnt Model
Abstract
Rosa laevigata, being the only species in the Rosa genus within the
Rosaceae family, possesses significant nutritional and medicinal value.
Moreover, it exhibits a vast genetic diversity, particularly among wild
populations. Such abundant genetic variability provides favorable
conditions for the cultivation, development, and utilization of superior
Rosa laevigata varieties in China. In this research, 265 records of
geographic distribution and 47 environmental variables were collected.
These data were then combined with the future climate predictions
generated by the general circulation model (GFDL-ESM4) and three Shared
Socio-economic Pathways (SSP1_RCP2.6, SSP3_RCP7.0, SSP5_RCP8.5) to
forecast the current and future geographical distribution of Rosa
laevigata. The results indicate a consistently high yield of Rosa
laevigata in China, both presently and in the future. The optimal
parameter combination, determined by using the corrected Akaike
Information Criterion as the index, was selected as the feature class LQ
with a regularized multiplier of 1.0. According to these findings, Rosa
laevigata is currently distributed across the southern provinces of
China, with Chongqing, Sichuan, Guizhou, and Guangxi being the most
suitable regions. Furthermore, compared to the current climatic
conditions, the growing area of Rosa laevigata is expected to expand in
the future. This expansion primarily occurs in a north-western
direction, resulting in an overall increase in the plant’s distribution
area. Notably, Qinghai experienced a reduction in its low-impact zone
area. Several variables such as annual potential evapotranspiration
(annualPET), isothermality (Bio3), mean daily maximum air temperature of
the warmest month (Bio5), precipitation seasonality (Bio15), and snow
cover days (scd), among others, greatly influence the potential
distribution of Rosa laevigata.