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Enregistrement W2084090939 · doi:10.1111/jbi.12422

Island floras are not necessarily more species poor than continental ones

2014· article· en· W2084090939 sur OpenAlexaff
Jairo Patiño, Péter Sólymos, Mark A. Carine, Patrick Weigelt, Holger Kreft, Alain Vanderpoorten

Notice bibliographique

RevueJournal of Biogeography · 2014
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant and animal studies
Établissements canadiensAlberta Biodiversity Monitoring InstituteUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésBiological dispersalArchipelagoEcologyInsular biogeographyFernGeographySpecies richnessBiogeographyBiologyEndemismNichePopulationDemography

Résumé

récupéré en direct d'OpenAlex

Oceanic islands typically exhibit a lower number of species per unit area than continents owing to their geographical isolation (MacArthur & Wilson, 1967). This relationship demonstrates a remarkable consistency across spatial and taxonomic scales (MacArthur & Wilson, 1967) and has significant evolutionary consequences because island organisms are expected to respond to the empty niche space through a series of major transformations in their life-history traits (see Whittaker & Fernández-Palacios, 2007). The biological, ecological and physiological changes are known as island syndromes, with the loss of dispersal power, changes in body size and the development of woodiness in herbaceous plant lineages being some of the most striking examples (Whittaker & Fernández-Palacios, 2007). In their seminal book, MacArthur & Wilson (1967) observed that the degree of impoverishment in bird faunas distributed across the archipelagos of Melanesia, Micronesia and Polynesia increased from islands near to New Guinea to intermediate and far islands (distance of > 3200 km from the mainland). This implies that the mismatch between species richness per unit area on continents and on islands increases with the degree of isolation of the latter, as species are progressively filtered out depending on their long-distance dispersal capacities (Whittaker & Fernández-Palacios, 2007). However, there is mounting evidence for the existence of lineage-specific species–area relationships associated with long-distance dispersal capacities (Triantis et al., 2012; Patiño et al., 2014b) and this raises the question of whether communities of highly mobile organisms are necessarily less species rich on islands than on continents and, hence, whether they exhibit typical island syndromes. Here, data from a global survey of 421 land plant floras (Patiño et al., 2014b) were submitted to linear mixed-effects models to analyse variation in log(species richness) depending on log(area) while controlling for variation in the factors geology (continents, oceanic islands and continental islands), plant group (seed plants, ferns and fern allies, liverworts and mosses), biome and realm (the latter two as defined by Olson et al., 2001). The analyses demonstrate that whereas species richness patterns of seed plants conform to the expectations of the island impoverishment theory, spore-producing plants do not (Fig. 1). The species–area models obtained indicate that seed plants exhibit, on average, a continual decrease in species richness per unit area from continents to continental islands to oceanic islands (Fig. 1). Mosses only partially follow such a pattern, with oceanic islands showing the lowest species richness, but with continental regions and continental islands showing similar values for comparable units of area. In liverworts and ferns, the pattern is different. Whereas islands with a small area and presumably limited ecological complexity show impoverished floras, intermediate and large sized oceanic and continental islands display similar or even slightly higher levels of species richness than continents. Thus, oceanic island floras of liverworts and ferns with a log(area) ranging from three to four units (103–104 km2), and continental island floras with a log(area) from five to six (105–106 km2), exhibit higher species richness compared to continents, a pattern at odds with expectations (Fig. 1). Possible explanations for the patterns observed in spore-producing land plants are: (1) higher speciation rates on islands than on continents; (2) lower extinction rates on islands; (3) higher dispersal power than in seed plants; or (4) a higher carrying capacity on large islands per unit area than on continents. The generally very low rates of endemism in oceanic island ferns and bryophytes (Patiño et al., 2014a) suggest a lack of extensive island radiations in these groups, thus pointing to the other hypotheses. A global comparison of island and mainland environments revealed that wet climates typical of tropical and, especially, temperate rain forest biomes are over-represented on islands, whereas hot and dry desert climates are under-represented (Weigelt et al., 2013). These general features of islands are particularly suitable for organisms such as bryophytes and ferns that rely greatly on environmental humidity for water uptake (e.g. poikilohydry in filmy ferns and bryophytes) and exhibit lower temperature optima than flowering plants (Vanderpoorten & Goffinet, 2009; Mehltreter et al., 2010). Given the ecological requirements of these spore-producing plant groups with higher dispersal capabilities than in seed plants, such a combination of humidity and mild temperatures on islands could lead to a reduced extinction risk following colonization and a potentially higher carrying capacity than in continental regions of similar area. The fact that island spore-producing floras are not impoverished suggests that the shifts in the expression of reproductive traits observed in island bryophytes, such as the higher investment in asexual reproduction as well as the higher frequency of fertile shoots (Patiño et al., 2013), do not represent a response to empty niche space, as island biogeography theory predicts. Rather, such changes may reflect a response to the specific climate conditions that prevail on islands. Such environmental conditions may also be found on continents, but proportionally represent a smaller fraction of continental climates (Weigelt et al., 2013) and, hence, the emergence of a bias in life-history traits associated with such climates would not be linked to geographical isolation either. In seed plants, experimental support for the loss of dispersal capacity on islands is equivocal (contrast, e.g. Whittaker & Fernández-Palacios, 2007 and Talavera et al., 2012) and in spore-producing plants, a study on the dispersal capacity of the moss Rhynchostegium riparioides failed to demonstrate any significant difference in migration rates in insular and continental populations (Hutsemékers et al., 2011). This raises the question of whether other typical island syndromes, such as density compensation (e.g. Whittaker & Fernández-Palacios, 2007), which refers to the higher density of a species on an island as a result of the competitive release associated with lower overall species richness, prevail in highly dispersive organisms. Further research to investigate life-history traits associated with departures from the expectations of the island syndrome theory will contribute to the future development of the island biology paradigm. The authors greatly valued the constructive insights of two referees. J.P. and A.V. gratefully acknowledge financial support from the Belgian Funds for Scientific Research (FNRS) and the University of Liège. P.W. and H.K. acknowledge support from the German Research Council (DFG) Free Floater Program in the Excellence Initiative at the University of Göttingen and in the scope of the BEFmate project from the Ministry of Science and Culture of Lower Saxony.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,128
Score d'incertitude au seuil0,186

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,196
Écart entre enseignants0,173 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations25
Publié2014
Routes d'admission1
Résumé présentoui

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