@misc{10481/107846,
year = {2025},
month = {5},
url = {https://hdl.handle.net/10481/107846},
abstract = {Effective biodiversity conservation requires accurate assessments to inform management decisions, particularly in biodiversity-rich regions. The Gran Canaria Biosphere Reserve (GCBR) is located in one of the Canary Islands, an oceanic archipelago that belongs to the Mediterranean biodiversity hotspot and lies <100 km from NW Africa. We aim to help improve conservation in this territory by complementing traditional biodiversity metrics with phylogenetic analyses, using the two official plant DNA barcode sequences (matK and rbcL), and distribution data for 202 endemic angiosperm taxa within the GCBR, which encompasses about 42% of Gran Canaria's territory. We compare the geographical patterns of Phylogenetic Diversity (PD) and Phylogenetic Endemism
(PE) with traditional diversity metrics such as Species Richness (SR) and Weighted Endemism (WE), and we use categorical analyses of neo-and paleoendemism. Our results highlight significant centres of PD and PE that do not entirely overlap with those detected for SR and WE. Notably, the northern region of the GCBR includes important conservation areas, representing either
accumulations of ancestral diversity or spots of incipient speciation. Moreover, evolutionarily significant areas displaying high values of neo- and paleophylogenetic endemism were identified in the east and southeast of the GCBR beyond the current core zones and protected areas. These results highlight the enhanced resolution provided by PD and related metrics, and offer a more
nuanced understanding of plant biodiversity compared to SR alone. This study underscores the need to establish a new core zone to preserve all key plant evolutionary sites within the GCBR and to ensure comprehensive protection of the endemic flora, which will require coordination among conservation biologists and decision-makers. The methodology used showcases the value of integrating taxonomic and phylogenetic diversity metrics for guiding the design of protected areas and improving territorial management in the Canaries and other oceanic archipelagos.},
organization = {Ministerio de Medio Ambiente y Medio Rural y Marino},
organization = {Ministerio de Ciencia e Innovación ASTERALIEN-PID2019-110538GA-I00, Ramón y Cajal Program (RYC-2016-20506)},
organization = {Fundación BBVA, Grant/Award Number: INVASION-PR19_ECO_0046},
organization = {Programa MAC 2014-2020 NEXTGENDEM-(MAC2/4.6d/236)},
organization = {MICIU/AEI/10.13039/501100011033 WIDESLANDS: PID2023-149086NB-I00},
organization = {FEDER/UE},
publisher = {Wiley},
keywords = {biosphere reserve},
keywords = {Canary Islands},
keywords = {endemism hotspots},
keywords = {Gran Canaria},
keywords = {phylogenetic diversity},
title = {Integrating a phylogenetic framework for mappingbiodiversity patterns to set conservation priorities for anoceanic island flora},
doi = {10.1111/csp2.70023},
author = {Jaén Molina, Ruth and Patiño, Jairo and De la Cruz, Salvador and Olangua-Corral, Magui and Marrero, Águedo and García-Verdugo, Carlos and Caujapé-Castells, Juli},
}