2026-06-02T06:56:08Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/364632026-02-03T11:17:15Zcom_10630_2254col_10630_37953

Analysis of taxonomic distinctness and priority conservation areas as a basis for heritage enhancement of floristic diversity: the case of the 'hotspot' of the islands of Numidia (North-Eastern Algeria) Hamel, Tarek Hidalgo-Triana, Noelia Meddad-Hamza, Amel Boulemtafes, Amir Souilah, Nabila De Belair, Gérard Salvo-Tierra, Ángel Enrique Diversidad de las plantas - Conservación The identification of priority conservation areas (PCA) plays an important role in biodiversity conservation, but uncertainties create challenges for conservation planning. The objective was to test a method based on 'taxonomic distinctness' (TD) and to identify PCA to quantify the heritage value of a territory and establish the most appropriate conservation measures. The researchers performed a systematic and phytogeographical analysis of ten islands in northeastern Algeria, a biological hotspot with heterogeneous ecosystem types and subject to socio-economic pressures. The biological diversity represented by 223 species in these environments reflects a high rate of endemicity (13%). The floristic similarity between the islands is estimated at 89.9%. Additionally, four distinct plant groups have been identified by the canonical correspondence analysis (CCA). These groupings are linked to the edaphic characteristics and the degree of insularity. 2025-01-17T09:22:50Z 2025-01-17T09:22:50Z 2022-11-14 journal article Hamel T., Hidalgo Triana N., Meddad-Hamza A., Boulemtafes A., Souilah N., de Bélair G. y Salvo Tierra Á. E. (2023). Analysis of taxonomic distinctness and priority conservation areas as a basis for heritage enhancement of floristic diversity: the case of the ‘hotspot’ of the islands of Numidia (North-eastern Algeria). Mediterranean Botany, 44, e81125. https://doi.org/10.5209/mbot.81125 https://hdl.handle.net/10630/36463 10.5209/mbot.81125 eng http://creativecommons.org/licenses/by/4.0/ open access Attribution 4.0 Internacional Universidad Complutense de Madrid