Good news for a rare plant: Fine‐resolution distributional predictions and field testing for the critically endangered plant <scp> <i>Dianthus pseudocrinitus</i> </scp>

Many endangered species are distributed in narrow geographic ranges, often at severe risk of extinction. Ecological niche modeling can be used to identify suitable areas, which surveyed detect additional populations. We combined remotely sensed data (Normalized Difference Vegetation Index) and field sampling increase distributional knowledge the improve understanding its conservation status. identified numerous new sites for a rare plant (Dianthus pseudocrinitus) tested model-based predictions full distribution. Using only eight occurrences, we developed initial models, guided detailed sampling: 11 were identified, but models unable predict better than random expectations. A second round did show significant predictive ability pointed broader environmental distribution species. As consequence, status should upgraded from Critically Endangered Endangered. six protected areas (Golestan, Ghorkhoud, Miandasht, Salouk, Sarani, Sarigol) that likely hold populations this species; one area adjacent Ghorkhoud Protected Area, if protected, would protect best-known Our results highlight importance combining with characterizing distributions