Landscape genetics is an interdisciplinary science combining population genetics and landscape ecology to examine how landscape features influence species microevolution, carrying both theoretical and practical significance. Animal-focused studies have attracted considerable attention due to animals’ mobility, including dispersal and migration. Animal Landscape genetic focuses on four pattern-based isolation models: isolation by distance (IBD), isolation by resistance (IBR), isolation by environments (IBE) and isolation by barrier (IBB). In response to the rapid advances in this science, this paper summarizes the research framework of these four isolation models and highlights six trends: (1)utilizing high-resolution landscape data and whole-genome DNA data, (2)developing multivariate landscape resistance optimization models, and integrating them with machine learning methods (3)investigating multiple isolation models simultaneously, (4)examining features of isolation models at multiple scales, (5)examining time-lag effects between landscape patterns and genetic structure, and (6)integrating animal spatial movement data with landscape genetics. The paper aims to provide valuable insights to advance research in animal landscape genetics.