VERDE: Vast Exploration and Research across Dry Forest Ecosystems
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Papildus informācija
| Lauks | Vērtība |
|---|---|
| Autors | Catherine Hulshof De La Peña |
| Pēdējā atjaunināšana | aprīlis 23, 2026, 20:05 (UTC) |
| Published | aprīlis 7, 2026, 22:25 (UTC) |
| Citation | Catherine Hulshof De La Peña 2025. VERDE: Vast Exploration and Research across Dry Forest Ecosystems. CyVerse Data Commons. |
| Apraksts | This working group investigates tropical dry forests through an environmental data science lens, examining how drought-induced leaf loss shapes ecosystem function and climate resilience. The team integrates phylogenetic data, functional traits, field observations, satellite imagery, and modeling to trace deciduousness patterns across evolutionary history, geography, and future scenarios. |
| PublicationYear | 2025 |
| Publisher | CyVerse Data Commons |
| Rights | This material is based upon work supported by the National Science Foundation under grant #2153040, the NSF ACCESS-CI program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296. This work used Jetstream2 at Indiana University through allocation BIO220085. CyVerse is based upon work supported by the NSF under Grant Nos. DBI-0735191, DBI-1265383, and DBI-1743442. |
| Subject | tropical dry forests, phenology, drought deciduousness, phylogenetics, remote sensing, ecosystem modeling, climate change |
| de_created_date | 2025-06-06T16:20:19Z |
| de_modified_date | 2026-04-23T19:45:48Z |