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RecruitNet: A global database of plant recruitment networks.

Miguel VerdúJose Luis GarridoJulio M AlcántaraAlicia Montesinos-NavarroSalomón AguilarMarcelo A AizenAli A Al-NamaziMohamed AlifriquiDavid N AllenKristina J Anderson-TeixeiraCristina ArmasJesús M BastidaTono BellidoGiuliano BonanomiGustavo Brant PaternoHerbert BriceñoRicardo A C de OliveiraJosefina G CampoyGhassen ChaiebChengjin ChuSarah E CollinsRichard ConditElena ConstantinouCihan Ü DegirmenciLeo DelalandreMilen DuarteMichel FaifeFatih FazliogluEdwino S FernandoJoel FloresHilda Flores-OlveraEcaterina FodorGislene GanadeMaría Begoña GarciaPatricio Garcia-FayosSabrina S GaviniMarta GobernaLorena Gómez-AparicioEnrique González-PendásAna González-RoblesStephen P HubbellKahraman İpekdalMaría J JorqueraZaal KikvidzePınar KütkütAlicia LedoSandra LendínezBuhang LiHanlun LiuFrancisco LloretRamiro P LópezÁlvaro López-GarcíaChristopher J LortieGianalberto LosapioJames A LutzArantzazu L LuzuriagaFrantišek MálišEsteban ManriqueAntonio J ManzanedaVinicius Marcilio-SilvaRichard MichaletRafael Molina-VenegasJosé Antonio Navarro-CanoVojtech NovotnyJens M OlesenJuan P Ortiz-BrunelMaría Pajares-MurgóNikolas ParissisGeoffrey ParkerAntonio J PereaVidal Pérez-HernándezMaría Ángeles Pérez-NavarroNuria PistónElisa Pizarro-CarbonellIván PrietoPrieto-Rubio JFrancisco Ignacio PugnaireNelson RamírezRubén RetuertoPedro J ReyDaniel A Rodriguez GinartMariana Rodríguez-SánchezRicardo Sánchez-MartínChristian SchöbÇağatay TavşanoğluGiorgi TedoradzeAmanda Tercero-AraqueKatja TielbörgerBlaise Touzardİrem TüfekcioğluSevda TurkisFrancisco M UseroNurbahar UstaAlfonso Valiente-BanuetAlexia Vargas-ColinIoannis VogiatzakisRegino Zamora
Published in: Ecology (2022)
Plant recruitment interactions (i.e., who recruits under whom) shape the composition, diversity and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions between species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., individuals) per species. The data set includes >850,000 recruiting individuals involved in 118,411 paired interactions between 3,318 vascular plant species across the globe. The cover of canopy species and open ground is also provided. Three sampling protocols were used: 1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions between established plants ("canopy species") and plants in their early stages of recruitment ("recruit species"). A series of plots are delimited within a locality and all the individuals recruiting and their canopy species are identified; 2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting individuals under the canopy and in a nearby open space of the same area; 3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced individual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, while others focus exclusively on woody species. The location of each study site, geographical coordinates, country, locality, responsible author, sampling dates, sampling method and life habit of both canopy and recruit species are provided. This database will allow researchers to test ecological, biogeographical and evolutionary hypotheses related to plant recruitment interactions. There are no copyright restrictions on the data set; please cite this data paper when using these data in publications.
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