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Endemic Vascular Epiphytes: Integrating Protected Areas and Suitability Models in the Amazon Forest

Lucas, Keller Maurício dos Santos ; Quaresma, Adriano 1; Mano, Giuliette Barbosa; Piedade, Maria Teresa Fernandez; Klein, Viviane Pagnussat; Demarchi, Layon Oreste; Schöngart, Jochen; Lopes, Aline
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)

Abstract:

This study aimed to identify the number of vascular epiphytes endemic to the Amazon forest, estimate the distribution of 20 endemic vascular epiphytes (EVEs) using species distribution modeling (SDMs), and examine their potential occurrence inside and outside Amazonian Protected Areas (PAs) to predict potential habitats and conservation strategies. The study was carried out in the Amazon rainforest, focusing on PAs and their interactions with the distribution of EVEs. We used four primary sources of biodiversity data (GBIF, Kew Herbarium, Species Link, and Amazon inventories) to uncover the composition of endemic epiphytes.
Fifteen EVEs were selected based on occurrence records from at least 17 locations. The research used a large dataset of epiphyte collections, eight modeling algorithms, and 34 environmental variables to generate consensus maps that identify suitable habitats for EVEs. The main results indicated that most EVEs have suitable areas concentrated along the edges of the Amazon rainforest, especially on the slopes of the Andes, with limited suitability in central and eastern Amazonia. The largest areas of suitability for the 20 model species were greater in unprotected areas (79%) than in protected areas (76.5%). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000188700
Veröffentlicht am 15.12.2025
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2025
Sprache Englisch
Identifikator ISSN: 2045-7758
KITopen-ID: 1000188700
Erschienen in Ecology and Evolution
Verlag Wiley Open Access
Band 15
Heft 12
Vorab online veröffentlicht am 29.11.2025
Schlagwörter biodiversity hotspots, conservation planning, habitat fragmentation, niche modeling
Nachgewiesen in Scopus
OpenAlex
Dimensions
Web of Science
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