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Author (up) Heuertz, M.; Caron, H.; Scotti-Saintagne, C.; Pétronelli, P.; Engel, J.; Tysklind, N.; Miloudi, S.; Gaiotto, F.A.; Chave, J.; Molino, J.-F.; Sabatier, D.; Loureiro, J.; Budde, K.B.
Title The hyperdominant tropical tree Eschweilera coriacea (Lecythidaceae) shows higher genetic heterogeneity than sympatric Eschweilera species in French Guiana Type Journal Article
Year 2020 Publication Plant Ecology and Evolution Abbreviated Journal Plant Ecol. Evol.
Volume 153 Issue 1 Pages 67-81
Keywords Cryptic species; Eschweilera; Hyperdominant tropical trees; Microsatellites; Species complex; Species delimitation
Abstract Background and aims – The evolutionary history of Amazonia’s hyperabundant tropical tree species, also known as “hyperdominant” species, remains poorly investigated. We assessed whether the hyperdominant Eschweilera coriacea (DC.) S.A.Mori (Lecythidaceae) represents a single genetically cohesive species, and how its genetic constitution relates to other species from the same clade with which it occurs sympatrically in French Guiana. Methods – We sampled 152 individuals in nine forest sites in French Guiana, representing 11 species of the genus Eschweilera all belonging to the Parvifolia clade, with emphasis on E. coriacea. Samples were genotyped at four simple sequence repeat (SSR) markers. We delimited gene pools, i.e., genetically coherent putative taxa, using STRUCTURE software and principal component analysis. We compared the genetic assignment of individuals with their morphological species determination and estimated genetic diversity and differentiation for gene pools and species. We also estimated genome size using flow cytometry. Key results – SSR profiles commonly displayed up to four alleles per genotype, suggesting that the investigated Eschweilera species bear a paleopolyploid signature. Flow cytometry suggested that the studied species are diploid with haploid genome sizes of 871–1046 Mbp. We detected five gene pools and observed a good correspondence between morphological and genetic delimitation for Eschweilera sagotiana Miers and the undescribed morphospecies E. sp. 3 (which resembles E. grandiflora (Aubl.) Sandwith), and to a lesser extent for E. decolorans Sandwith and E. micrantha (O.Berg) Miers. Eschweilera coriacea was the most genetically diverse species and included individuals assigned to each gene pool. Conclusions – We found no conclusive evidence for cryptic species within E. coriacea in French Guiana. SSRs detected fewer gene pools than expected based on morphology in the Parvifolia clade but discriminated evolutionary relationships better than available plastid markers. A positive trend between demographic abundance of species and allelic richness illustrates that hyperdominants may have a high evolutionary potential. This hypothesis can be tested using more powerful genomic data in combination with tree phenotypic trait variation and characterization of niche breadth, to enhance our understanding of the causes of hyperdominance in Amazonian trees.
Address University of Copenhagen, Forest, Nature and Biomass, Rolighedsvej 23, Frederiksberg C, DK-1958, Denmark
Corporate Author Thesis
Publisher Societe Royale de Botanique de Belgique Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 20323913 (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 928
Permanent link to this record
 

 
Author (up) Honorio Coronado, E.N.; Blanc-Jolivet, C.; Mader, M.; García-Dávila, C.R.; Gomero, D.A.; del Castillo Torres, D.; Llampazo, G.F.; Pizango, G.H.; Sebbenn, A.M.; Meyer-Sand, B.R.V.; Paredes-Villanueva, K.; Tysklind, N.; Troispoux, V.; Massot, M.; Carvalho, C.; de Lima, H.C.; Cardoso, D.; Degen, B.
Title SNP markers as a successful molecular tool for assessing species identity and geographic origin of trees in the economically important South American legume genus Dipteryx Type Journal Article
Year 2020 Publication Journal of Heredity Abbreviated Journal J. Hered.
Volume 111 Issue 4 Pages 346-356
Keywords Cumaru; Genetic assignment; Leguminosae; Timber verification; article; chloroplast; genetic association; genetic marker; geographic origin; indel mutation; nonhuman; single nucleotide polymorphism; species identification; structure analysis; tonka bean; Dipteryx; Fabaceae
Abstract Dipteryx timber has been heavily exploited in South America since 2000s due to the increasing international demand for hardwood. Developing tools for the genetic identification of Dipteryx species and their geographical origin can help to promote legal trading of timber. A collection of 800 individual trees, belonging to 6 different Dipteryx species, was genotyped based on 171 molecular markers. After the exclusion of markers out of Hardy-Weinberg equilibrium or with no polymorphism or low amplification, 83 nuclear, 29 chloroplast, 13 mitochondrial single nucleotide polymorphisms (SNPs), and 2 chloroplast and 5 mitochondrial INDELS remained. Six genetic groups were identified using Bayesian Structure analyses of the nuclear SNPs, which corresponded to the different Dipteryx species collected in the field. Seventeen highly informative markers were identified as suitable for species identification and obtained self-assignment success rates to species level of 78-96%. An additional set of 15 molecular markers was selected to determine the different genetic clusters found in Dipteryx odorata and Dipteryx ferrea, obtaining self-assignment success rates of 91-100%. The success to assign samples to the correct country of origin using all or only the informative markers improved when using the nearest neighbor approach (69-92%) compared to the Bayesian approach (33-80%). While nuclear and chloroplast SNPs were more suitable for differentiating the different Dipteryx species, mitochondrial SNPs were ideal for determining the genetic clusters of D. odorata and D. ferrea. These 32 selected SNPs will be invaluable genetic tools for the accurate identification of species and country of origin of Dipteryx timber. © The American Genetic Association 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
Address Instituto de Biologia, Universidade Federal da Bahia, Rua Barão de Jeremoabo, s.n., Ondina, Salvador, BA, 40170-115, Brazil
Corporate Author Thesis
Publisher Oxford University Press Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 00221503 (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 965
Permanent link to this record
 

 
Author (up) Kattge, J.; Bönisch, G.; Díaz, S.; Lavorel, S.; Prentice, I.C.; Leadley, P.; Tautenhahn, S.; Werner, G.D.A.; Aakala, T.; Abedi, M.; Acosta, A.T.R.; Adamidis, G.C.; Adamson, K.; Aiba, M.; Albert, C.H.; Alcántara, J.M.; Alcázar C, C.; Aleixo, I.; Ali, H.; Amiaud, B.; Ammer, C.; Amoroso, M.M.; Anand, M.; Anderson, C.; Anten, N.; Antos, J.; Apgaua, D.M.G.; Ashman, T.-L.; Asmara, D.H.; Asner, G.P.; Aspinwall, M.; Atkin, O.; Aubin, I.; Baastrup-Spohr, L.; Bahalkeh, K.; Bahn, M.; Baker, T.; Baker, W.J.; Bakker, J.P.; Baldocchi, D.; Baltzer, J.; Banerjee, A.; Baranger, A.; Barlow, J.; Barneche, D.R.; Baruch, Z.; Bastianelli, D.; Battles, J.; Bauerle, W.; Bauters, M.; Bazzato, E.; Beckmann, M.; Beeckman, H.; Beierkuhnlein, C.; Bekker, R.; Belfry, G.; Belluau, M.; Beloiu, M.; Benavides, R.; Benomar, L.; Berdugo-Lattke, M.L.; Berenguer, E.; Bergamin, R.; Bergmann, J.; Bergmann Carlucci, M.; Berner, L.; Bernhardt-Römermann, M.; Bigler, C.; Bjorkman, A.D.; Blackman, C.; Blanco, C.; Blonder, B.; Blumenthal, D.; Bocanegra-González, K.T.; Boeckx, P.; Bohlman, S.; Böhning-Gaese, K.; Boisvert-Marsh, L.; Bond, W.; Bond-Lamberty, B.; Boom, A.; Boonman, C.C.F.; Bordin, K.; Boughton, E.H.; Boukili, V.; Bowman, D.M.J.S.; Bravo, S.; Brendel, M.R.; Broadley, M.R.; Brown, K.A.; Bruelheide, H.; Brumnich, F.; Bruun, H.H.; Bruy, D.; Buchanan, S.W.; Bucher, S.F.; Buchmann, N.; Buitenwerf, R.; Bunker, D.E.; Bürger, J.; Burrascano, S.; Burslem, D.F.R.P.; Butterfield, B.J.; Byun, C.; Marques, M.; Scalon, M.C.; Caccianiga, M.; Cadotte, M.; Cailleret, M.; Camac, J.; Camarero, J.J.; Campany, C.; Campetella, G.; Campos, J.A.; Cano-Arboleda, L.; Canullo, R.; Carbognani, M.; Carvalho, F.; Casanoves, F.; Castagneyrol, B.; Catford, J.A.; Cavender-Bares, J.; Cerabolini, B.E.L.; Cervellini, M.; Chacón-Madrigal, E.; Chapin, K.; Chapin, F.S.; Chelli, S.; Chen, S.-C.; Chen, A.; Cherubini, P.; Chianucci, F.; Choat, B.; Chung, K.-S.; Chytrý, M.; Ciccarelli, D.; Coll, L.; Collins, C.G.; Conti, L.; Coomes, D.; Cornelissen, J.H.C.; Cornwell, W.K.; Corona, P.; Coyea, M.; Craine, J.; Craven, D.; Cromsigt, J.P.G.M.; Csecserits, A.; Cufar, K.; Cuntz, M.; da Silva, A.C.; Dahlin, K.M.; Dainese, M.; Dalke, I.; Dalle Fratte, M.; Dang-Le, A.T.; Danihelka, J.; Dannoura, M.; Dawson, S.; de Beer, A.J.; De Frutos, A.; De Long, J.R.; Dechant, B.; Delagrange, S.; Delpierre, N.; Derroire, G.; Dias, A.S.; Diaz-Toribio, M.H.; Dimitrakopoulos, P.G.; Dobrowolski, M.; Doktor, D.; Dřevojan, P.; Dong, N.; Dransfield, J.; Dressler, S.; Duarte, L.; Ducouret, E.; Dullinger, S.; Durka, W.; Duursma, R.; Dymova, O.; E-Vojtkó, A.; Eckstein, R.L.; Ejtehadi, H.; Elser, J.; Emilio, T.; Engemann, K.; Erfanian, M.B.; Erfmeier, A.; Esquivel-Muelbert, A.; Esser, G.; Estiarte, M.; Domingues, T.F.; Fagan, W.F.; Fagúndez, J.; Falster, D.S.; Fan, Y.; Fang, J.; Farris, E.; Fazlioglu, F.; Feng, Y.; Fernandez-Mendez, F.; Ferrara, C.; Ferreira, J.; Fidelis, A.; Finegan, B.; Firn, J.; Flowers, T.J.; Flynn, D.F.B.; Fontana, V.; Forey, E.; Forgiarini, C.; François, L.; Frangipani, M.; Frank, D.; Frenette-Dussault, C.; Freschet, G.T.; Fry, E.L.; Fyllas, N.M.; Mazzochini, G.G.; Gachet, S.; Gallagher, R.; Ganade, G.; Ganga, F.; García-Palacios, P.; Gargaglione, V.; Garnier, E.; Garrido, J.L.; de Gasper, A.L.; Gea-Izquierdo, G.; Gibson, D.; Gillison, A.N.; Giroldo, A.; Glasenhardt, M.-C.; Gleason, S.; Gliesch, M.; Goldberg, E.; Göldel, B.; Gonzalez-Akre, E.; Gonzalez-Andujar, J.L.; González-Melo, A.; González-Robles, A.; Graae, B.J.; Granda, E.; Graves, S.; Green, W.A.; Gregor, T.; Gross, N.; Guerin, G.R.; Günther, A.; Gutiérrez, A.G.; Haddock, L.; Haines, A.; Hall, J.; Hambuckers, A.; Han, W.; Harrison, S.P.; Hattingh, W.; Hawes, J.E.; He, T.; He, P.; Heberling, J.M.; Helm, A.; Hempel, S.; Hentschel, J.; Hérault, B.; Hereş, A.-M.; Herz, K.; Heuertz, M.; Hickler, T.; Hietz, P.; Higuchi, P.; Hipp, A.L.; Hirons, A.; Hock, M.; Hogan, J.A.; Holl, K.; Honnay, O.; Hornstein, D.; Hou, E.; Hough-Snee, N.; Hovstad, K.A.; Ichie, T.; Igić, B.; Illa, E.; Isaac, M.; Ishihara, M.; Ivanov, L.; Ivanova, L.; Iversen, C.M.; Izquierdo, J.; Jackson, R.B.; Jackson, B.; Jactel, H.; Jagodzinski, A.M.; Jandt, U.; Jansen, S.; Jenkins, T.; Jentsch, A.; Jespersen, J.R.P.; Jiang, G.-F.; Johansen, J.L.; Johnson, D.; Jokela, E.J.; Joly, C.A.; Jordan, G.J.; Joseph, G.S.; Junaedi, D.; Junker, R.R.; Justes, E.; Kabzems, R.; Kane, J.; Kaplan, Z.; Kattenborn, T.; Kavelenova, L.; Kearsley, E.; Kempel, A.; Kenzo, T.; Kerkhoff, A.; Khalil, M.I.; Kinlock, N.L.; Kissling, W.D.; Kitajima, K.; Kitzberger, T.; Kjøller, R.; Klein, T.; Kleyer, M.; Klimešová, J.; Klipel, J.; Kloeppel, B.; Klotz, S.; Knops, J.M.H.; Kohyama, T.; Koike, F.; Kollmann, J.; Komac, B.; Komatsu, K.; König, C.; Kraft, N.J.B.; Kramer, K.; Kreft, H.; Kühn, I.; Kumarathunge, D.; Kuppler, J.; Kurokawa, H.; Kurosawa, Y.; Kuyah, S.; Laclau, J.-P.; Lafleur, B.; Lallai, E.; Lamb, E.; Lamprecht, A.; Larkin, D.J.; Laughlin, D.; Le Bagousse-Pinguet, Y.; le Maire, G.; le Roux, P.C.; le Roux, E.; Lee, T.; Lens, F.; Lewis, S.L.; Lhotsky, B.; Li, Y.; Li, X.; Lichstein, J.W.; Liebergesell, M.; Lim, J.Y.; Lin, Y.-S.; Linares, J.C.; Liu, C.; Liu, D.; Liu, U.; Livingstone, S.; Llusià, J.; Lohbeck, M.; López-García, Á.; Lopez-Gonzalez, G.; Lososová, Z.; Louault, F.; Lukács, B.A.; Lukeš, P.; Luo, Y.; Lussu, M.; Ma, S.; Maciel Rabelo Pereira, C.; Mack, M.; Maire, V.; Mäkelä, A.; Mäkinen, H.; Malhado, A.C.M.; Mallik, A.; Manning, P.; Manzoni, S.; Marchetti, Z.; Marchino, L.; Marcilio-Silva, V.; Marcon, E.; Marignani, M.; Markesteijn, L.; Martin, A.; Martínez-Garza, C.; Martínez-Vilalta, J.; Mašková, T.; Mason, K.; Mason, N.; Massad, T.J.; Masse, J.; Mayrose, I.; McCarthy, J.; McCormack, M.L.; McCulloh, K.; McFadden, I.R.; McGill, B.J.; McPartland, M.Y.; Medeiros, J.S.; Medlyn, B.; Meerts, P.; Mehrabi, Z.; Meir, P.; Melo, F.P.L.; Mencuccini, M.; Meredieu, C.; Messier, J.; Mészáros, I.; Metsaranta, J.; Michaletz, S.T.; Michelaki, C.; Migalina, S.; Milla, R.; Miller, J.E.D.; Minden, V.; Ming, R.; Mokany, K.; Moles, A.T.; Molnár, A., V; Molofsky, J.; Molz, M.; Montgomery, R.A.; Monty, A.; Moravcová, L.; Moreno-Martínez, A.; Moretti, M.; Mori, A.S.; Mori, S.; Morris, D.; Morrison, J.; Mucina, L.; Mueller, S.; Muir, C.D.; Müller, S.C.; Munoz, F.; Myers-Smith, I.H.; Myster, R.W.; Nagano, M.; Naidu, S.; Narayanan, A.; Natesan, B.; Negoita, L.; Nelson, A.S.; Neuschulz, E.L.; Ni, J.; Niedrist, G.; Nieto, J.; Niinemets, Ü.; Nolan, R.; Nottebrock, H.; Nouvellon, Y.; Novakovskiy, A.; Nystuen, K.O.; O'Grady, A.; O'Hara, K.; O'Reilly-Nugent, A.; Oakley, S.; Oberhuber, W.; Ohtsuka, T.; Oliveira, R.; Öllerer, K.; Olson, M.E.; Onipchenko, V.; Onoda, Y.; Onstein, R.E.; Ordonez, J.C.; Osada, N.; Ostonen, I.; Ottaviani, G.; Otto, S.; Overbeck, G.E.; Ozinga, W.A.; Pahl, A.T.; Paine, C.E.T.; Pakeman, R.J.; Papageorgiou, A.C.; Parfionova, E.; Pärtel, M.; Patacca, M.; Paula, S.; Paule, J.; Pauli, H.; Pausas, J.G.; Peco, B.; Penuelas, J.; Perea, A.; Peri, P.L.; Petisco-Souza, A.C.; Petraglia, A.; Petritan, A.M.; Phillips, O.L.; Pierce, S.; Pillar, V.D.; Pisek, J.; Pomogaybin, A.; Poorter, H.; Portsmuth, A.; Poschlod, P.; Potvin, C.; Pounds, D.; Powell, A.S.; Power, S.A.; Prinzing, A.; Puglielli, G.; Pyšek, P.; Raevel, V.; Rammig, A.; Ransijn, J.; Ray, C.A.; Reich, P.B.; Reichstein, M.; Reid, D.E.B.; Réjou-Méchain, M.; de Dios, V.R.; Ribeiro, S.; Richardson, S.; Riibak, K.; Rillig, M.C.; Riviera, F.; Robert, E.M.R.; Roberts, S.; Robroek, B.; Roddy, A.; Rodrigues, A.V.; Rogers, A.; Rollinson, E.; Rolo, V.; Römermann, C.; Ronzhina, D.; Roscher, C.; Rosell, J.A.; Rosenfield, M.F.; Rossi, C.; Roy, D.B.; Royer-Tardif, S.; Rüger, N.; Ruiz-Peinado, R.; Rumpf, S.B.; Rusch, G.M.; Ryo, M.; Sack, L.; Saldaña, A.; Salgado-Negret, B.; Salguero-Gomez, R.; Santa-Regina, I.; Santacruz-García, A.C.; Santos, J.; Sardans, J.; Schamp, B.; Scherer-Lorenzen, M.; Schleuning, M.; Schmid, B.; Schmidt, M.; Schmitt, S.; Schneider, J.V.; Schowanek, S.D.; Schrader, J.; Schrodt, F.; Schuldt, B.; Schurr, F.; Selaya Garvizu, G.; Semchenko, M.; Seymour, C.; Sfair, J.C.; Sharpe, J.M.; Sheppard, C.S.; Sheremetiev, S.; Shiodera, S.; Shipley, B.; Shovon, T.A.; Siebenkäs, A.; Sierra, C.; Silva, V.; Silva, M.; Sitzia, T.; Sjöman, H.; Slot, M.; Smith, N.G.; Sodhi, D.; Soltis, P.; Soltis, D.; Somers, B.; Sonnier, G.; Sørensen, M.V.; Sosinski, E.E., Jr.; Soudzilovskaia, N.A.; Souza, A.F.; Spasojevic, M.; Sperandii, M.G.; Stan, A.B.; Stegen, J.; Steinbauer, K.; Stephan, J.G.; Sterck, F.; Stojanovic, D.B.; Strydom, T.; Suarez, M.L.; Svenning, J.-C.; Svitková, I.; Svitok, M.; Svoboda, M.; Swaine, E.; Swenson, N.; Tabarelli, M.; Takagi, K.; Tappeiner, U.; Tarifa, R.; Tauugourdeau, S.; Tavsanoglu, C.; te Beest, M.; Tedersoo, L.; Thiffault, N.; Thom, D.; Thomas, E.; Thompson, K.; Thornton, P.E.; Thuiller, W.; Tichý, L.; Tissue, D.; Tjoelker, M.G.; Tng, D.Y.P.; Tobias, J.; Török, P.; Tarin, T.; Torres-Ruiz, J.M.; Tóthmérész, B.; Treurnicht, M.; Trivellone, V.; Trolliet, F.; Trotsiuk, V.; Tsakalos, J.L.; Tsiripidis, I.; Tysklind, N.; Umehara, T.; Usoltsev, V.; Vadeboncoeur, M.; Vaezi, J.; Valladares, F.; Vamosi, J.; van Bodegom, P.M.; van Breugel, M.; Van Cleemput, E.; van de Weg, M.; van der Merwe, S.; van der Plas, F.; van der Sande, M.T.; van Kleunen, M.; Van Meerbeek, K.; Vanderwel, M.; Vanselow, K.A.; Vårhammar, A.; Varone, L.; Vasquez Valderrama, M.Y.; Vassilev, K.; Vellend, M.; Veneklaas, E.J.; Verbeeck, H.; Verheyen, K.; Vibrans, A.; Vieira, I.; Villacís, J.; Violle, C.; Vivek, P.; Wagner, K.; Waldram, M.; Waldron, A.; Walker, A.P.; Waller, M.; Walther, G.; Wang, H.; Wang, F.; Wang, W.; Watkins, H.; Watkins, J.; Weber, U.; Weedon, J.T.; Wei, L.; Weigelt, P.; Weiher, E.; Wells, A.W.; Wellstein, C.; Wenk, E.; Westoby, M.; Westwood, A.; White, P.J.; Whitten, M.; Williams, M.; Winkler, D.E.; Winter, K.; Womack, C.; Wright, I.J.; Wright, S.J.; Wright, J.; Pinho, B.X.; Ximenes, F.; Yamada, T.; Yamaji, K.; Yanai, R.; Yankov, N.; Yguel, B.; Zanini, K.J.; Zanne, A.E.; Zelený, D.; Zhao, Y.-P.; Zheng, J.; Zheng, J.; Ziemińska, K.; Zirbel, C.R.; Zizka, G.; Zo-Bi, I.C.; Zotz, G.; Wirth, C.; The Nutrient Network
Title TRY plant trait database – enhanced coverage and open access Type Journal Article
Year 2020 Publication Global Change Biol. Abbreviated Journal Global Change Biol.
Volume 26 Issue 1 Pages 119-188
Keywords data coverage; data integration; data representativeness; functional diversity; plant traits; TRY plant trait database; biodiversity; data processing; database; ecological modeling; environmental factor; growth; intraspecific competition; access to information; biodiversity; ecology; ecosystem; plant; Access to Information; Biodiversity; Ecology; Ecosystem; Plants
Abstract Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Address Institute for Biology and Environmental Sciences, University Oldenburg, Oldenburg, Germany
Corporate Author Thesis
Publisher Blackwell Publishing Ltd Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 13541013 (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 918
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Author (up) Lang, G.; Marcon, E.; Puech, F.
Title Distance-based measures of spatial concentration: introducing a relative density function Type Journal Article
Year 2020 Publication Annals of Regional Science Abbreviated Journal Ann. Reg. Sci.
Volume 64 Issue 2 Pages 243-265
Keywords Agglomeration; Aggregation; Economic geography; Point patterns; Spatial concentration; accuracy assessment; econometrics; economic activity; economic geography; industrial agglomeration; industrial location; location decision; spatial analysis; spatial distribution
Abstract For more than a decade, distance-based methods have been widely employed and constantly improved in spatial economics. These methods are a very useful tool for accurately evaluating the spatial distribution of economic activity. We introduce a new distance-based statistical measure for evaluating the spatial concentration of industries. The m function is the first relative density function to be proposed in economics. This tool supplements the typology of distance-based methods recently drawn up by Marcon and Puech (J Econ Geogr 3(4):409–428, 2003). By considering several simulated and real examples, we show the advantages and the limits of the m function for detecting spatial structures in economics. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
Address RITM, Univ. Paris-Sud, Université Paris-Saclay and CREST, Sceaux, France
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 05701864 (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 976
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Author (up) Laybros, A.; Aubry-Kientz, M.; Féret, J.-B.; Bedeau, C.; Brunaux, O.; Derroire, G.; Vincent, G.
Title Quantitative airborne inventories in dense tropical forest using imaging spectroscopy Type Journal Article
Year 2020 Publication Remote Sensing Abbreviated Journal Remote Sens.
Volume 12 Issue 10 Pages 1577
Keywords Hyperspectral; LiDAR; Species diversity; Tropical forest; Cost effectiveness; Discriminant analysis; Infrared devices; Infrared radiation; Logistic regression; Remote sensing; Tropics; Classification accuracy; Classification performance; Linear discriminant analysis; Operational applications; Regularized discriminant analysis; Remote sensing technology; Short wave infrared bands; Visible and near infrared; Forestry
Abstract Tropical forests have exceptional floristic diversity, but their characterization remains incomplete, in part due to the resource intensity of in-situ assessments. Remote sensing technologies can provide valuable, cost-effective, large-scale insights. This study investigates the combined use of airborne LiDAR and imaging spectroscopy to map tree species at landscape scale in French Guiana. Binary classifiers were developed for each of 20 species using linear discriminant analysis (LDA), regularized discriminant analysis (RDA) and logistic regression (LR). Complementing visible and near infrared (VNIR) spectral bands with short wave infrared (SWIR) bands improved the mean average classification accuracy of the target species from 56.1% to 79.6%. Increasing the number of non-focal species decreased the success rate of target species identification. Classification performance was not significantly affected by impurity rates (confusion between assigned classes) in the non-focal class (up to 5% of bias), provided that an adequate criterion was used for adjusting threshold probability assignment. A limited number of crowns (30 crowns) in each species class was sufficient to retrieve correct labels effectively. Overall canopy area of target species was strongly correlated to their basal area over 118 ha at 1.5 ha resolution, indicating that operational application of the method is a realistic prospect (R2 = 0.75 for six major commercial tree species). © 2020 by the authors.
Address Cirad, UMR EcoFoG (AgroParistech, CNRS, INRAE, Université des Antilles, Université de la Guyane), Kourou, French Guiana, 97379, France
Corporate Author Thesis
Publisher Mdpi Ag Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 20724292 (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 969
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Author (up) Legeay, J.; Husson, C.; Boudier, B.; Louisanna, E.; Baraloto, C.; Schimann, H.; Marcais, B.; Buée, M.
Title Surprising low diversity of the plant pathogen Phytophthora in Amazonian forests Type Journal Article
Year 2020 Publication Environmental Microbiology Abbreviated Journal Environ. Microbiol.
Volume 22 Issue 12 Pages 5019-5032
Keywords
Abstract The genus Phytophthora represents a group of plant pathogens with broad global distribution. The majority of them cause the collar and root-rot of diverse plant species. Little is known about Phytophthora communities in forest ecosystems, especially in the Neotropical forests where natural enemies could maintain the huge plant diversity via negative density dependence. We characterized the diversity of soil-borne Phytophthora communities in the North French Guiana rainforest and investigated how they are structured by host identity and environmental factors. In this little-explored habitat, 250 soil cores were sampled from 10 plots hosting 10 different plant families across three forest environments (Terra Firme, Seasonally Flooded and White Sand). Phytophthora diversity was studied using a baiting approach and metabarcoding (High-Throughput Sequencing) on environmental DNA extracted from both soil samples and baiting-leaves. These three approaches revealed very similar communities, characterized by an unexpected low diversity of Phytophthora species, with the dominance of two cryptic species close to Phytophthora heveae. As expected, the Phytophthora community composition of the French Guiana rainforest was significantly impacted by the host plant family and environment. However, these plant pathogen communities are very small and are dominated by generalist species, questioning their potential roles as drivers of plant diversity in these Amazonian forests. © 2020 Society for Applied Microbiology and John Wiley & Sons Ltd.
Address International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL 33199, United States
Corporate Author Thesis
Publisher Blackwell Publishing Ltd Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 14622912 (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 940
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Author (up) Lehnebach, R.; Doumerc, L.; Clair, B.; Alméras, T.
Title Mechanical stress in the inner bark of 15 tropical tree species and the relationship with anatomical structure Type Journal Article
Year 2020 Publication Botany Abbreviated Journal Bot.
Volume 98 Issue 1 Pages 1-8
Keywords Bark anatomical structure; Mechanical stress; Sclereids; Secondary phloem; Tree biomechanics; Tropical species
Abstract Recent studies have shown that the inner bark is implicated in the postural control of inclined tree stems through the interaction between wood radial growth and tangential expansion of a trellis fiber network in bark. Assessing the taxonomic extent of this mechanism requires a screening of the diversity in bark anatomy and mechanical stress. The mechanical state of bark was measured in 15 tropical tree species from various botanical families on vertical mature trees, and related to the anatomical structure of the bark. Significant tensile or compressive longitudinal stresses were observed in the stems of most species. Tensile longitudinal stress was observed in various botanical families and was always associated with fibers arranged in a trellis-like structure and strong dilatation of rays. The highest tensile stress was recorded in species with gelatinous fibers forming a treillis. Compressive stress was typically associated with a large amount of sclereids in the bark, supporting the differentiation of sclereids as a potential origin of the generation of longitudinal compressive stresses in bark. In species exhibiting both a fibrous trellis structure and a significant amount of sclereids, the sign of longitudinal stress may depend on the balance between these two mechanisms.
Address Faculty of Bioscience Engineering, Laboratory of Wood Technology, Woodlab, Coupure Links 653, Gent, B-9000, Belgium
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Publisher Canadian Science Publishing Place of Publication Editor
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ISSN 19162804 (Issn) ISBN Medium
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Notes Cited By :1; Export Date: 20 January 2020; Correspondence Address: Lehnebach, R.; Laboratoire de Mécanique et Génie Civil (LMGC), Université de Montpellier, CNRS, 860 rue de St. Priest, France; email: lehnebach.romain@hotmail.fr Approved no
Call Number EcoFoG @ webmaster @ Serial 913
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Author (up) Levionnois, S.; Coste, S.; Nicolini, E.; Stahl, C.; Morel, H.; Heuret, P.
Title Scaling of petiole anatomies, mechanics and vasculatures with leaf size in the widespread Neotropical pioneer tree species Cecropia obtusa Trécul (Urticaceae) Type Journal Article
Year 2020 Publication Tree physiology Abbreviated Journal Tree Physiol.
Volume 40 Issue 2 Pages 245-258
Keywords allometry; leaf size; petiole anatomy; scaling; theoretical hydraulic conductivity; vessel widening; xylem
Abstract Although the leaf economic spectrum has deepened our understanding of leaf trait variability, little is known about how leaf traits scale with leaf area. This uncertainty has resulted in the assumption that leaf traits should vary by keeping the same pace of variation with increases in leaf area across the leaf size range. We evaluated the scaling of morphological, tissue-surface and vascular traits with overall leaf area, and the functional significance of such scaling. We examined 1,271 leaves for morphological traits, and 124 leaves for anatomical and hydraulic traits, from 38 trees of Cecropia obtusa Trécul (Urticaceae) in French Guiana. Cecropia is a Neotropical genus of pioneer trees that can exhibit large laminas (0.4 m2 for C. obtusa), with leaf size ranging by two orders of magnitude. We measured (i) tissue fractions within petioles and their second moment of area, (ii) theoretical xylem hydraulic efficiency of petioles and (iii) the extent of leaf vessel widening within the hydraulic path. We found that different scaling of morphological trait variability allows for optimisation of lamina display among larger leaves, especially the positive allometric relationship between lamina area and petiole cross-sectional area. Increasing the fraction of pith is a key factor that increases the geometrical effect of supportive tissues on mechanical rigidity and thereby increases carbon-use efficiency. We found that increasing xylem hydraulic efficiency with vessel size results in lower leaf lamina area: xylem ratios, which also results in potential carbon savings for large leaves. We found that the vessel widening is consistent with hydraulic optimisation models. Leaf size variability modifies scaling of leaf traits in this large-leaved species. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permission@oup.com.
Address UMR AMAP, CIRAD, CNRS, IRD, Université de Montpellier, Montpellier, 34398, France
Corporate Author Thesis
Publisher NLM (Medline) Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 17584469 (Issn) ISBN Medium
Area Expedition Conference
Notes Export Date: 16 March 2020 Approved no
Call Number EcoFoG @ webmaster @ Serial 921
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Author (up) Levionnois, S.; Tysklind, N.; Nicolini, E.; Ferry, B.; Troispoux, V.; Le Moguedec, G.; Morel, H.; Stahl, C.; Coste, S.; Caron, H.; Heuret, P.
Title Soil variation response is mediated by growth trajectories rather than functional traits in a widespread pioneer Neotropical tree Type Journal Article
Year 2020 Publication bioRxiv, peer-reviewed by Peer Community in Ecology Abbreviated Journal
Volume 351197 Issue v4 Pages
Keywords
Abstract Trait-environment relationships have been described at the community level across tree species. However, whether interspecific trait-environment relationships are consistent at the intraspecific level is yet unknown. Moreover, we do not know how consistent is the response between organ vs. whole-tree level.We examined phenotypic variability for 16 functional leaf (dimensions, nutrient, chlorophyll) and wood traits (density) across two soil types, Ferralitic Soil (FS) vs. White Sands (WS), on two sites for 70 adult trees of Cecropia obtusa Trécul (Urticaceae) in French Guiana. Cecropia is a widespread pioneer Neotropical genus that generally dominates early successional forest stages. To understand how soil types impact resource-use through the processes of growth and branching, we examined the architectural development with a retrospective analysis of growth trajectories. We expect soil types to affect both, functional traits in relation to resource acquisition strategy as already described at the interspecific level, and growth strategies due to resource limitations with reduced growth on poor soils.Functional traits were not involved in the soil response, as only two traits-leaf residual water content and K content-showed significant differences across soil types. Soil effects were stronger on growth trajectories, with WS trees having the slowest growth trajectories and less numerous branches across their lifespan.The analysis of growth trajectories based on architectural analysis improved our ability to characterise the response of trees with soil types. The intraspecific variability is higher for growth trajectories than functional traits for C. obtusa, revealing the complementarity of the architectural approach with the functional approach to gain insights on the way trees manage their resources over their lifetime. Soil-related responses of Cecropia functional traits are not the same as those at the interspecific level, suggesting that the effects of the acting ecological processes are different between the two levels. Apart from soil differences, much variation was found across sites, which calls for further investigation of the factors shaping growth trajectories in tropical forests.
Address
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Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 931
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Author (up) Levionnois, S.; Ziegler, C.; Jansen, S.; Calvet, E.; Coste, S.; Stahl, C.; Salmon, C.; Delzon, S.; Guichard, C.; Heuret, P.
Title Vulnerability and hydraulic segmentations at the stem–leaf transition: coordination across Neotropical trees Type Journal Article
Year 2020 Publication New Phytologist Abbreviated Journal New Phytol.
Volume 228 Issue 2 Pages 512-524
Keywords drought-induced embolism resistance; hydraulic segmentation; leaf-specific conductivity; stem–leaf transition; tropical trees; vulnerability segmentation; air bubble; hydraulic conductivity; leaf; Neotropical Region; rainforest; tropical forest; vulnerability; xylem
Abstract Hydraulic segmentation at the stem–leaf transition predicts higher hydraulic resistance in leaves than in stems. Vulnerability segmentation, however, predicts lower embolism resistance in leaves. Both mechanisms should theoretically favour runaway embolism in leaves to preserve expensive organs such as stems, and should be tested for any potential coordination. We investigated the theoretical leaf-specific conductivity based on an anatomical approach to quantify the degree of hydraulic segmentation across 21 tropical rainforest tree species. Xylem resistance to embolism in stems (flow-centrifugation technique) and leaves (optical visualization method) was quantified to assess vulnerability segmentation. We found a pervasive hydraulic segmentation across species, but with a strong variability in the degree of segmentation. Despite a clear continuum in the degree of vulnerability segmentation, eight species showed a positive vulnerability segmentation (leaves less resistant to embolism than stems), whereas the remaining species studied exhibited a negative or no vulnerability segmentation. The degree of vulnerability segmentation was positively related to the degree of hydraulic segmentation, such that segmented species promote both mechanisms to hydraulically decouple leaf xylem from stem xylem. To what extent hydraulic and vulnerability segmentation determine drought resistance requires further integration of the leaf–stem transition at the whole-plant level, including both xylem and outer xylem tissue. © 2020 The Authors. New Phytologist © 2020 New Phytologist Trust
Address Univ. Bordeaux, INRAE, BIOGECO, Pessac, F-33615, France
Corporate Author Thesis
Publisher Blackwell Publishing Ltd Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0028646x (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 952
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