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Fine root dynamics across pantropical rainforest ecosystems.
Huaraca Huasco, Walter; Riutta, Terhi; Girardin, Cécile A J; Hancco Pacha, Fernando; Puma Vilca, Beisit L; Moore, Sam; Rifai, Sami W; Del Aguila-Pasquel, Jhon; Araujo Murakami, Alejandro; Freitag, Renata; Morel, Alexandra C; Demissie, Sheleme; Doughty, Christopher E; Oliveras, Imma; Galiano Cabrera, Darcy F; Durand Baca, Liliana; Farfán Amézquita, Filio; Silva Espejo, Javier E; da Costa, Antonio C L; Oblitas Mendoza, Erick; Quesada, Carlos Alberto; Evouna Ondo, Fidele; Edzang Ndong, Josué; Jeffery, Kathryn J; Mihindou, Vianet; White, Lee J T; N'ssi Bengone, Natacha; Ibrahim, Forzia; Addo-Danso, Shalom D; Duah-Gyamfi, Akwasi; Djaney Djagbletey, Gloria; Owusu-Afriyie, Kennedy; Amissah, Lucy; Mbou, Armel T; Marthews, Toby R; Metcalfe, Daniel B; Aragão, Luiz E O; Marimon-Junior, Ben H; Marimon, Beatriz S; Majalap, Noreen; Adu-Bredu, Stephen; Abernethy, Katharine A; Silman, Miles; Ewers, Robert M; Meir, Patrick; Malhi, Yadvinder.
Affiliation
  • Huaraca Huasco W; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
  • Riutta T; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
  • Girardin CAJ; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
  • Hancco Pacha F; Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú.
  • Puma Vilca BL; Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú.
  • Moore S; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
  • Rifai SW; ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia.
  • Del Aguila-Pasquel J; Instituto de Investigaciones de la Amazonía Peruana (IIAP), Iquitos, Perú.
  • Araujo Murakami A; Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia.
  • Freitag R; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, Nova Xavantina, MT, Brazil.
  • Morel AC; Department of Geography and Environmental Science, University of Dundee, Dundee, UK.
  • Demissie S; Environment and Coffee Forest Forum, Addis Ababa, Ethiopia.
  • Doughty CE; School of Informatics, Computing and Cyber systems, Northern Arizona University, Flagstaff, AZ, USA.
  • Oliveras I; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
  • Galiano Cabrera DF; Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú.
  • Durand Baca L; Universidad Nacional Federico Villarreal de Lima, Lima, Perú.
  • Farfán Amézquita F; Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú.
  • Silva Espejo JE; Departamento de Biología, Universidad de La Serena, La Serena, Chile.
  • da Costa ACL; Instituto de Geosciências, Universidade Federal do Pará, Belém, Brazil.
  • Oblitas Mendoza E; Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil.
  • Quesada CA; Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil.
  • Evouna Ondo F; Agence Nationale des Parcs Nationaux, Libreville, Gabon.
  • Edzang Ndong J; Agence Nationale des Parcs Nationaux, Libreville, Gabon.
  • Jeffery KJ; Faculty of Natural Sciences, University of Stirling, Stirling, UK.
  • Mihindou V; Ministère de la Foret, de la Mer, de l'Environnement, Chargé Du Plan Climat, Libreville, Gabon.
  • White LJT; Ministère de la Foret, de la Mer, de l'Environnement, Chargé Du Plan Climat, Libreville, Gabon.
  • N'ssi Bengone N; Ministère de la Foret, de la Mer, de l'Environnement, Chargé Du Plan Climat, Libreville, Gabon.
  • Ibrahim F; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Addo-Danso SD; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Duah-Gyamfi A; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Djaney Djagbletey G; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Owusu-Afriyie K; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Amissah L; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Mbou AT; Centro Euro-Mediterraneo sui Cambiamenti Climatici, Leece, Italy.
  • Marthews TR; UK Centre for Ecology & Hydrology (UKCEH), Wallingford, UK.
  • Metcalfe DB; Department of Ecology and Environment Science, Umeå University, Umeå, Sweden.
  • Aragão LEO; Divisão de Sensoriamento Remoto-DIDSR, Instituto Nacional de Pesquisas Espaciais, São Jose dos Campos, SP, Brazil.
  • Marimon-Junior BH; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, Nova Xavantina, MT, Brazil.
  • Marimon BS; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, Nova Xavantina, MT, Brazil.
  • Majalap N; Sabah Forestry Department, Forest Research Centre, Sabah, Malaysia.
  • Adu-Bredu S; Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana.
  • Abernethy KA; Faculty of Natural Sciences, University of Stirling, Stirling, UK.
  • Silman M; Department of Biology, Wake Forest University, Winston-Salem, NC, USA.
  • Ewers RM; Department of Life Science, Imperial College London, Ascot, UK.
  • Meir P; Research School of Biology, Australian National University, Canberra, ACT, Australia.
  • Malhi Y; School of Geosciences, University of Edinburgh, Edinburgh, UK.
Glob Chang Biol ; 27(15): 3657-3680, 2021 08.
Article de En | MEDLINE | ID: mdl-33982340
ABSTRACT
Fine roots constitute a significant component of the net primary productivity (NPP) of forest ecosystems but are much less studied than aboveground NPP. Comparisons across sites and regions are also hampered by inconsistent methodologies, especially in tropical areas. Here, we present a novel dataset of fine root biomass, productivity, residence time, and allocation in tropical old-growth rainforest sites worldwide, measured using consistent methods, and examine how these variables are related to consistently determined soil and climatic characteristics. Our pantropical dataset spans intensive monitoring plots in lowland (wet, semi-deciduous, and deciduous) and montane tropical forests in South America, Africa, and Southeast Asia (n = 47). Large spatial variation in fine root dynamics was observed across montane and lowland forest types. In lowland forests, we found a strong positive linear relationship between fine root productivity and sand content, this relationship was even stronger when we considered the fractional allocation of total NPP to fine roots, demonstrating that understanding allocation adds explanatory power to understanding fine root productivity and total NPP. Fine root residence time was a function of multiple factors soil sand content, soil pH, and maximum water deficit, with longest residence times in acidic, sandy, and water-stressed soils. In tropical montane forests, on the other hand, a different set of relationships prevailed, highlighting the very different nature of montane and lowland forest biomes. Root productivity was a strong positive linear function of mean annual temperature, root residence time was a strong positive function of soil nitrogen content in montane forests, and lastly decreasing soil P content increased allocation of productivity to fine roots. In contrast to the lowlands, environmental conditions were a better predictor for fine root productivity than for fractional allocation of total NPP to fine roots, suggesting that root productivity is a particularly strong driver of NPP allocation in tropical mountain regions.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Écosystème / Forêt pluviale Type d'étude: Prognostic_studies Pays/Région comme sujet: Africa / America do sul Langue: En Journal: Glob Chang Biol Année: 2021 Type de document: Article Pays d'affiliation: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Écosystème / Forêt pluviale Type d'étude: Prognostic_studies Pays/Région comme sujet: Africa / America do sul Langue: En Journal: Glob Chang Biol Année: 2021 Type de document: Article Pays d'affiliation: Royaume-Uni
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