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The likely extinction of hundreds of palm species threatens their contributions to people and ecosystems.
Bellot, S; Lu, Y; Antonelli, A; Baker, W J; Dransfield, J; Forest, F; Kissling, W D; Leitch, I J; Nic Lughadha, E; Ondo, I; Pironon, S; Walker, B E; Cámara-Leret, R; Bachman, S P.
Afiliación
  • Bellot S; Royal Botanic Gardens, Kew, Richmond, UK. s.bellot@kew.org.
  • Lu Y; Royal Botanic Gardens, Kew, Richmond, UK.
  • Antonelli A; Royal Botanic Gardens, Kew, Richmond, UK.
  • Baker WJ; Department of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, Gothenburg, Sweden.
  • Dransfield J; Department of Plant Sciences, University of Oxford, Oxford, UK.
  • Forest F; Royal Botanic Gardens, Kew, Richmond, UK.
  • Kissling WD; Royal Botanic Gardens, Kew, Richmond, UK.
  • Leitch IJ; Royal Botanic Gardens, Kew, Richmond, UK.
  • Nic Lughadha E; Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the Netherlands.
  • Ondo I; Royal Botanic Gardens, Kew, Richmond, UK.
  • Pironon S; Royal Botanic Gardens, Kew, Richmond, UK.
  • Walker BE; Royal Botanic Gardens, Kew, Richmond, UK.
  • Cámara-Leret R; Royal Botanic Gardens, Kew, Richmond, UK.
  • Bachman SP; Royal Botanic Gardens, Kew, Richmond, UK.
Nat Ecol Evol ; 6(11): 1710-1722, 2022 11.
Article en En | MEDLINE | ID: mdl-36163257
Protecting nature's contributions to people requires accelerating extinction risk assessment and better integrating evolutionary, functional and used diversity with conservation planning. Here, we report machine learning extinction risk predictions for 1,381 palm species (Arecaceae), a plant family of high socio-economic and ecological importance. We integrate these predictions with published assessments for 508 species (covering 75% of all palm species) and we identify top-priority regions for palm conservation on the basis of their proportion of threatened evolutionarily distinct, functionally distinct and used species. Finally, we explore palm use resilience to identify non-threatened species that could potentially serve as substitutes for threatened used species by providing similar products. We estimate that over a thousand palms (56%) are probably threatened, including 185 species with documented uses. Some regions (New Guinea, Vanuatu and Vietnam) emerge as top ten priorities for conservation only after incorporating machine learning extinction risk predictions. Potential substitutes are identified for 91% of the threatened used species and regional use resilience increases with total palm richness. However, 16 threatened used species lack potential substitutes and 30 regions lack substitutes for at least one of their threatened used palm species. Overall, we show that hundreds of species of this keystone family face extinction, some of them probably irreplaceable, at least locally. This highlights the need for urgent actions to avoid major repercussions on palm-associated ecosystem processes and human livelihoods in the coming decades.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Arecaceae Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nat Ecol Evol Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Arecaceae Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nat Ecol Evol Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido