Yes, DeepLINK-T can be adapted to incorporate additional information such as spatial or environmental factors to enhance the understanding of microbial community dynamics in real-world ecosystems. By integrating spatial data, such as geographic coordinates or spatial proximity measures, DeepLINK-T can account for spatial dependencies and spatial patterns in the microbial community dynamics. Similarly, environmental factors like temperature, pH, or nutrient levels can be included as covariates in the model to assess their impact on microbial composition and abundance. By incorporating these additional factors, DeepLINK-T can offer a more comprehensive analysis of microbial community dynamics in real-world ecosystems, providing valuable insights into the interactions between microbes and their environment.