INTEGRATING PHENOTYPE, GENOTYPE, AND
ENVIRONMENTAL DATA FOR GEOREFERENCED PLANTS
ENVIRONMENTAL DATA FOR GEOREFERENCED PLANTS
| Long-lived and sessile plant species serve as ideal models to assess population structure and adaptation to the environment. Despite the availability of comprehensive data, the researchers who study them are challenged to integrate data describing genotype, phenotype, and the environment. Towards this goal, the web application CartograTree (now known as CartograPlant), was designed and implemented as an open repository and open-source analytic web-based framework for all three. | ||||||||||||||||
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8,473,484 plants |
662 species |
291 genera |
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771,763,817 genotypes |
1,816,861 phenotypes |
969 map layers |
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313
studies
from 43 countries |
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Current Curation Team
| Meghan Myles | 45,390 plants |
| Isabella Harding | 22,637 plants |
| Madison Gadomski | 13,636 plants |
| Jeffrey Gamer | 11,219 plants |
| Rachel Wolther | 9,833 plants |
Curation Alumni
| Charles Demurjian | 66,367 plants |
| Emily Strickland | 32,676 plants |
| Victoria Burton | 26,605 plants |
| Isaac McEvoy | 6,676 plants |
| Barnaly Pande | 5,030 plants |
External Submissions
| Harata, Tsuyoshi, et al. | 858 plants |
| Sun, Ye, et al. | 648 plants |
| Geraldes, Armando J. M., et al. | 2,040 plants |
| Kimura, Takuma, et al. | 409 plants |
| Escobar, Sebastián, et al. | 237 plants |