A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Species functional traits affect regional and local dominance across western Amazonian forests
Tekijät: Matas‐Granados Laura; Fortunel Claire; Cayuela Luis; de Aledo Julia G.; Ben Saadi Celina; Kraft Nathan J. B.; Baraloto Christopher; Wright S. Joseph; Vleminckx Jason; Garwood Nancy C.; Hietz Peter; Metz Margaret R.; Draper Frederick C.; Baker Timothy R.; Phillips Oliver L.; Honorio Coronado Eurídice N.; Ruokolainen Kalle; García‐Villacorta Roosevelt; Roucoux Katherine H.; Guèze Maximilien; Valderrama Sandoval Elvis; Fine Paul V. A.; Amasifuen Guerra Carlos A.; Zarate Gomez Ricardo; Stevenson Pablo R.; Monteagudo‐Mendoza Abel; Vasquez Martinez Rodolfo; Terborgh John; Disney Mathias; Brienen Roel; Núñez Vargas Percy; del Aguila Pasquel Jhon; Malhi Yadvinder; Socolar Jacob B.; Llampazo Gerardo Flores; Vega Arenas Jim; Galiano Cabrera Darcy; Silva Espejo Javier; Talbot Joey; Vinceti Barbara; Huaymacari José Reyna; Falcón Cecilia Ballón; Feldpausch Ted R.; Swamy Varun; Grandez Rios Julio M.; Macía Manuel J.
Kustantaja: Wiley-Blackwell
Julkaisuvuosi: 2025
Lehti: Journal of Ecology
Artikkelin numero: e70214
ISSN: 0022-0477
eISSN: 1365-2745
DOI: https://doi.org/10.1111/1365-2745.70214
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1111/1365-2745.70214
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/506147428
Several studies have documented dominance by few species in Amazonian forests. Dominant species tend to be either locally abundant (local dominants) or regionally frequent (widespread dominants) but rarely both (oligarchs). Here, we explore relationships between dominance and functional traits. We ask whether: (i) dominance is associated with specific functional profiles and (ii) dominance patterns (local vs. widespread dominants) are associated with different functional traits. We combined census data from 503 forest inventory plots across four lowland forest habitats in western Amazonia with trait information for ~2600 tree species, encompassing data collected in the focal plots and data from published sources. We considered traits that relate to leaf, wood, seed and whole-plant strategies: specific leaf area (SLA), leaf area (LA), N content per unit leaf mass (LN), wood density (WD), seed mass (SM) and maximum diameter at breast height (DBHmax). Our results reveal that dominant species display different trait combinations depending on the habitat type. Taller dominant species exhibit higher regional frequency, associated with higher dispersal ability and lower local abundance, likely due to negative density dependence. Greater SM contributes to higher regional frequency of dominant species via greater dispersal by birds and mammals and seedling survival. Finally, traits related to resource conservation strategies, such as lower SLA, LA, LN and greater WD, favour higher local densities across most habitats, while the opposite pattern was linked to higher regional frequency. Synthesis. Our findings reveal that (i) dominance is associated with different functional traits depending on the habitat type, and (ii) different functional trait values define distinct dominance patterns. Our study exemplifies the potential of trait-based approaches to illuminate the ecological mechanisms that may underlie dominance in tropical forests. Finally, accounting for both local abundance and regional frequency when studying dominance is likely to improve our understanding and forecasting of how different species will respond to global change drivers in western Amazonia. © 2025 The Author(s). Journal of Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
Ladattava julkaisu This is an electronic reprint of the original article. |
Julkaisussa olevat rahoitustiedot:
Foreign, Commonwealth & DevelopmentOffice, United Kingdom; Ministerio deEducación y Formación Profesional,Grant/Award Number: FPU18/05201;Agence Nationale de la Recherche, Grant/Award Number: ANR-10-LABX-25- 01;Universidad de los Andes, Grant/AwardNumber: INV-2021-128-2268; Ministeriode Economía y Competitividad, Grant/Award Number: CGL2015-72431-EXPand CGL2016-75414-P; H2020 EuropeanResearch Council, Grant/Award Number:291585; European Commission, GrantAward Number: IC18- CT960038 and794973; Natural Environment ResearchCouncil, Grant/Award Number: NE/H011773/1, NE/J50001X/1, NE/R000751/1, NE/V014323/1 and NE/V018760/1; Ministerio de Ciencia,Tecnología e Innovación, Grant/AwardNumber: PID2019-105064GB-I00