Prediction of Suitable Regions for Danxiaorchis yangii Combined with Pollinators Based on the SDM Model

<i>Danxiaorchis yangii</i>, a newly discovered fully mycoheterotrophic orchid. It relies on <i>Lysimachia alfredii</i> and <i>Dufourea</i> spp. for pollination, and environmental factors closely influence the growth and distribution of these pollinators, which in turn directly affects the growth and reproduction of <i>D. yangii</i>. Climate change threatens the suitable habitats for these three species, emphasizing the need to understand <i>D. yangii</i>'s response. This study comprehensively utilized the field distribution of <i>D. yangii</i> and related climatic data, along with future climate predictions from global models, to predict the climate suitability areas of <i>D. yangii</i> under two greenhouse gas emission scenarios (SSP245 and SSP370) using species distribution models (SDMs), which encompassed a random forest (RF) model. Additionally, we selected the optimal ensemble model (OEM) for <i>Dufourea</i> spp. and applied generalized boosted models (GBMs) and RF for <i>L</i>. <i>alfredii</i> in our predictions. The study found that precipitation of the driest quarter plays a pivotal role in determining the distribution of <i>D. yangii</i>, with an optimal range of 159 to 730 mm being most conducive to its growth. Comparative analysis further indicated that precipitation exerts a greater influence on <i>D. yangii</i> than temperature. Historically, <i>D. yangii</i> has been predominantly distributed across Jiangxi, Hunan, Zhejiang, and the Guangxi Zhuang Autonomous Region, with Jiangxi Province containing the largest area of highly suitable habitat, and this distribution largely overlaps with the suitable regions of its pollinators.