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Author Baraloto, C.; Rabaud, S.; Molto, Q.; Blanc, L.; Fortunel, C.; Herault, B.; Davila, N.; Mesones, I.; Rios, M.; Valderrama, E.; Fine, P.V.A.
Title Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests Type Journal Article
Year 2011 Publication Global Change Biology Abbreviated Journal (up) Glob. Change Biol.
Volume 17 Issue 8 Pages 2677-2688
Keywords carbon stocks; climate; flooded forest; forest structure; French Guiana; Peru; REDD; soil properties; tropical rainforest; white-sand forest; wood specific gravity
Abstract Tropical forests contain an important proportion of the carbon stored in terrestrial vegetation, but estimated aboveground biomass (AGB) in tropical forests varies two-fold, with little consensus on the relative importance of climate, soil and forest structure in explaining spatial patterns. Here, we present analyses from a plot network designed to examine differences among contrasting forest habitats (terra firme, seasonally flooded, and white-sand forests) that span the gradient of climate and soil conditions of the Amazon basin. We installed 0.5-ha plots in 74 sites representing the three lowland forest habitats in both Loreto, Peru and French Guiana, and we integrated data describing climate, soil physical and chemical characteristics and stand variables, including local measures of wood specific gravity (WSG). We use a hierarchical model to separate the contributions of stand variables from climate and soil variables in explaining spatial variation in AGB. AGB differed among both habitats and regions, varying from 78 Mg ha(-1) in white-sand forest in Peru to 605 Mg ha(-1) in terra firme clay forest of French Guiana. Stand variables including tree size and basal area, and to a lesser extent WSG, were strong predictors of spatial variation in AGB. In contrast, soil and climate variables explained little overall variation in AGB, though they did co-vary to a limited extent with stand parameters that explained AGB. Our results suggest that positive feedbacks in forest structure and turnover control AGB in Amazonian forests, with richer soils (Peruvian terra firme and all seasonally flooded habitats) supporting smaller trees with lower wood density and moderate soils (French Guianan terra firme) supporting many larger trees with high wood density. The weak direct relationships we observed between soil and climate variables and AGB suggest that the most appropriate approaches to landscape scale modeling of AGB in the Amazon would be based on remote sensing methods to map stand structure.
Address [Baraloto, Christopher; Rabaud, Suzanne; Fortunel, Claire; Rios, Marcos; Valderrama, Elvis] INRA, UMR Ecol Forets Guyane, Kourou 97387, French Guiana, Email: chris.baraloto@ecofog.gf
Corporate Author Thesis
Publisher Wiley-Blackwell Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1354-1013 ISBN Medium
Area Expedition Conference
Notes ISI:000292308300013 Approved no
Call Number EcoFoG @ webmaster @ Serial 325
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Author Charles-Dominique, P.; Chave, J.; Dubois, M.A.; De Granville, J.J.; Riera, B.; Vezzoli, C.
Title Colonization front of the understorey palm Astrocaryum sciophilum in a pristine rain forest of French Guiana Type Journal Article
Year 2003 Publication Global Ecology and Biogeography Abbreviated Journal (up) Glob. Ecol. Biogeogr.
Volume 12 Issue 3 Pages 237-248
Keywords Astrocaryum sciophilum; French Guiana; neotropical palaeoecology; palm ecology; population edge; refuges; scatter-hoarding; seed dispersal; spatial pattern
Abstract Aims Astrocaryum sciophilum (Miq.) Pulle (Arecaceae) is an understorey palm, endemic to north-eastern South America with a patchy distribution. We tested the hypothesis that the spatial distribution of this palm species is not in equilibrium but is slowly colonizing the forest understorey. Location Inventories and seed dispersal studies were conducted in the undisturbed tropical forest close to the Nouragues research station, French Guiana. Additional data were collected in the entire territory of French Guiana. Methods We studied the demography of A. sciophilum on a 20-ha plot located at the edge of its distribution. The age of the palms was estimated by postulating an exponentially decreasing abundance by age class. Direct seed dispersal experiments were also conducted, to estimate dispersal parameters. The seeds of A. sciophilum were dispersed only by rodents. This information was used to parameterize a forest growth simulator, to study the spatial spread of this species. Results Within the sampling plot, the density of A. sciophilum dropped sharply from about 500 individuals per hectare to zero. The maturation age was estimated to be 170+/-70 years, and over 55 years with 95% confidence. Seed-dispersal experiments yielded an average seed dispersal distance of 11 m and a maximum estimated dispersal distance of 125 m across a generational span of 55 years to maturity. Therefore, the maximal estimated colonization speed is 2.3 m/y. Conclusions Empirical results and numerical simulations suggest that the boundary of the A. sciophilum population is a colonization front, and that the range of this species is slowly expanding. The implications of this result in respect of palaeoenvironmental changes in this region are discussed.
Address Natl Museum Nat Hist, Lab Ecol Gen, F-91800 Brunoy, 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 0960-7447 ISBN Medium
Area Expedition Conference
Notes ISI:000182184100006 Approved no
Call Number EcoFoG @ eric.marcon @ Serial 273
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Author Feldpausch, T.R.; Phillips, O.L.; Brienen, R.J.W.; Gloor, E.; Lloyd, J.; Lopez-Gonzalez, G.; Monteagudo-Mendoza, A.; Malhi, Y.; Alarcón, A.; Álvarez Dávila, E.; Alvarez-Loayza, P.; Andrade, A.; Aragao, L.E.O.C.; Arroyo, L.; Aymard C., G.A.; Baker, T.R.; Baraloto, C.; Barroso, J.; Bonal, D.; Castro, W.; Chama, V.; Chave, J.; Domingues, T.F.; Fauset, S.; Groot, N.; Honorio Coronado, E.; Laurance, S.; Laurance, W.F.; Lewis, S.L.; Licona, J.C.; Marimon, B.S.; Marimon-Junior, B.H.; Mendoza Bautista, C.; Neill, D.A.; Oliveira, E.A.; Oliveira dos Santos, C.; Pallqui Camacho, N.C.; Pardo-Molina, G.; Prieto, A.; Quesada, C.A.; Ramírez, F.; Ramírez-Angulo, H.; Réjou-Méchain, M.; Rudas, A.; Saiz, G.; Salomão, R.P.; Silva-Espejo, J.E.; Silveira, M.; ter Steege, H.; Stropp, J.; Terborgh, J.; Thomas-Caesar, R.; van der Heijden, G.M.F.; Vásquez Martinez, R.; Vilanova, E.; Vos, V.A.
Title Amazon forest response to repeated droughts Type Journal Article
Year 2016 Publication Global Biogeochemical Cycles Abbreviated Journal (up) Global Biogeochemical Cycles
Volume 30 Issue 7 Pages 964-982
Keywords carbon; forest productivity; precipitation; tree mortality; vegetation dynamics; water deficit
Abstract The Amazon Basin has experienced more variable climate over the last decade, with a severe and widespread drought in 2005 causing large basin-wide losses of biomass. A drought of similar climatological magnitude occurred again in 2010; however, there has been no basin-wide ground-based evaluation of effects on vegetation. We examine to what extent the 2010 drought affected forest dynamics using ground-based observations of mortality and growth from an extensive forest plot network. We find that during the 2010 drought interval, forests did not gain biomass (net change: −0.43 Mg ha−1, confidence interval (CI): −1.11, 0.19, n = 97), regardless of whether forests experienced precipitation deficit anomalies. This contrasted with a long-term biomass sink during the baseline pre-2010 drought period (1998 to pre-2010) of 1.33 Mg ha−1 yr−1 (CI: 0.90, 1.74, p < 0.01). The resulting net impact of the 2010 drought (i.e., reversal of the baseline net sink) was −1.95 Mg ha−1 yr−1 (CI:−2.77, −1.18; p < 0.001). This net biomass impact was driven by an increase in biomass mortality (1.45 Mg ha−1 yr−1 CI: 0.66, 2.25, p < 0.001) and a decline in biomass productivity (−0.50 Mg ha−1 yr−1, CI:−0.78, −0.31; p < 0.001). Surprisingly, the magnitude of the losses through tree mortality was unrelated to estimated local precipitation anomalies and was independent of estimated local pre-2010 drought history. Thus, there was no evidence that pre-2010 droughts compounded the effects of the 2010 drought. We detected a systematic basin-wide impact of the 2010 drought on tree growth rates across Amazonia, which was related to the strength of the moisture deficit. This impact differed from the drought event in 2005 which did not affect productivity. Based on these ground data, live biomass in trees and corresponding estimates of live biomass in lianas and roots, we estimate that intact forests in Amazonia were carbon neutral in 2010 (−0.07 Pg C yr−1 CI:−0.42, 0.23), consistent with results from an independent analysis of airborne estimates of land-atmospheric fluxes during 2010. Relative to the long-term mean, the 2010 drought resulted in a reduction in biomass carbon uptake of 1.1 Pg C, compared to 1.6 Pg C for the 2005 event. ©2016. American Geophysical Union. All Rights Reserved.
Address Centro de Investigación y Promoción del Campesinado Norte Amazónico, Riberalta, Bolivia
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Notes Export Date: 1 September 2016 Approved no
Call Number EcoFoG @ webmaster @ Serial 690
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Author Rowland, L.; Hill, T.C.; Stahl, C.; Siebicke, L.; Burban, B.; Zaragoza-Castells, J.; Ponton, S.; Bonal, D.; Meir, P.; Williams, M.
Title Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest Type Journal Article
Year 2014 Publication Global Change Biology Abbreviated Journal (up) Global Change Biol.
Volume 20 Issue 3 Pages 979-991
Keywords Carbon use efficiency; Dalec; Data assimilation; Ecosystem respiration; French Guiana; Seasonal carbon fluxes; Tropical forest
Abstract The relative contribution of gross primary production and ecosystem respiration to seasonal changes in the net carbon flux of tropical forests remains poorly quantified by both modelling and field studies. We use data assimilation to combine nine ecological time series from an eastern Amazonian forest, with mass balance constraints from an ecosystem carbon cycle model. The resulting analysis quantifies, with uncertainty estimates, the seasonal changes in the net carbon flux of a tropical rainforest which experiences a pronounced dry season. We show that the carbon accumulation in this forest was four times greater in the dry season than in the wet season and that this was accompanied by a 5% increase in the carbon use efficiency. This seasonal response was caused by a dry season increase in gross primary productivity, in response to radiation and a similar magnitude decrease in heterotrophic respiration, in response to drying soils. The analysis also predicts increased carbon allocation to leaves and wood in the wet season, and greater allocation to fine roots in the dry season. This study demonstrates implementation of seasonal variations in parameters better enables models to simulate observed patterns in data. In particular, we highlight the necessity to simulate the seasonal patterns of heterotrophic respiration to accurately simulate the net carbon flux seasonal tropical forest. © 2013 The Authors Global Change Biology Published by John Wiley & Sons Ltd.
Address Research School of Biology, Division of Plant Sciences, Australian National University, Canberra, ACT, 0200, Australia
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ISSN 13541013 (Issn) ISBN Medium
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Notes Cited By (since 1996):1; Export Date: 24 February 2014; Source: Scopus; Language of Original Document: English; Correspondence Address: Rowland, L.; School of Geosciences, University of Edinburgh, Edinburgh, EH9 3JN, United Kingdom; email: lucy.rowland@ed.ac.uk; Funding Details: FT110100457, ARC, Australian Research Council; Funding Details: NE/F002149/1, NERC, Natural Environment Research Council; Funding Details: NE/J011002/1, NERC, Natural Environment Research Council Approved no
Call Number EcoFoG @ webmaster @ Serial 529
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Author Esquivel-Muelbert, A.; Baker, T.R.; Dexter, K.G.; Lewis, S.L.; Brienen, R.J.W.; Feldpausch, T.R.; Lloyd, J.; Monteagudo-Mendoza, A.; Arroyo, L.; Álvarez-Dávila, E.; Higuchi, N.; Marimon, B.S.; Marimon-Junior, B.H.; Silveira, M.; Vilanova, E.; Gloor, E.; Malhi, Y.; Chave, J.; Barlow, J.; Bonal, D.; Davila Cardozo, N.; Erwin, T.; Fauset, S.; Hérault, B.; Laurance, S.; Poorter, L.; Qie, L.; Stahl, C.; Sullivan, M.J.P.; ter Steege, H.; Vos, V.A.; Zuidema, P.A.; Almeida, E.; Almeida de Oliveira, E.; Andrade, A.; Vieira, S.A.; Aragão, L.; Araujo-Murakami, A.; Arets, E.; Aymard C, G.A.; Baraloto, C.; Camargo, P.B.; Barroso, J.G.; Bongers, F.; Boot, R.; Camargo, J.L.; Castro, W.; Chama Moscoso, V.; Comiskey, J.; Cornejo Valverde, F.; Lola da Costa, A.C.; del Aguila Pasquel, J.; Di Fiore, A.; Fernanda Duque, L.; Elias, F.; Engel, J.; Flores Llampazo, G.; Galbraith, D.; Herrera Fernández, R.; Honorio Coronado, E.; Hubau, W.; Jimenez-Rojas, E.; Lima, A.J.N.; Umetsu, R.K.; Laurance, W.; Lopez-Gonzalez, G.; Lovejoy, T.; Aurelio Melo Cruz, O.; Morandi, P.S.; Neill, D.; Núñez Vargas, P.; Pallqui Camacho, N.C.; Parada Gutierrez, A.; Pardo, G.; Peacock, J.; Peña-Claros, M.; Peñuela-Mora, M.C.; Petronelli, P.; Pickavance, G.C.; Pitman, N.; Prieto, A.; Quesada, C.; Ramírez-Angulo, H.; Réjou-Méchain, M.; Restrepo Correa, Z.; Roopsind, A.; Rudas, A.; Salomão, R.; Silva, N.; Silva Espejo, J.; Singh, J.; Stropp, J.; Terborgh, J.; Thomas, R.; Toledo, M.; Torres-Lezama, A.; Valenzuela Gamarra, L.; van de Meer, P.J.; van der Heijden, G.; van der Hout, P.; Vasquez Martinez, R.; Vela, C.; Vieira, I.C.G.; Phillips, O.L.
Title Compositional response of Amazon forests to climate change Type Journal Article
Year 2019 Publication Global Change Biology Abbreviated Journal (up) Global Change Biol.
Volume 25 Issue 1 Pages 39-56
Keywords bioclimatic niches; climate change; compositional shifts; functional traits; temporal trends; tropical forests; bioclimatology; climate change; floristics; lowland environment; niche; temporal variation; tropical forest; Amazonia; carbon dioxide; water; biodiversity; Brazil; classification; climate change; ecosystem; forest; physiology; season; tree; tropic climate; Biodiversity; Brazil; Carbon Dioxide; Climate Change; Ecosystem; Forests; Seasons; Trees; Tropical Climate; Water
Abstract Most of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate-induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long-term inventory plots spanning 30 years. We analyse three traits that have been hypothesized to respond to different environmental drivers (increase in moisture stress and atmospheric CO 2 concentrations): maximum tree size, biogeographic water-deficit affiliation and wood density. Tree communities have become increasingly dominated by large-statured taxa, but to date there has been no detectable change in mean wood density or water deficit affiliation at the community level, despite most forest plots having experienced an intensification of the dry season. However, among newly recruited trees, dry-affiliated genera have become more abundant, while the mortality of wet-affiliated genera has increased in those plots where the dry season has intensified most. Thus, a slow shift to a more dry-affiliated Amazonia is underway, with changes in compositional dynamics (recruits and mortality) consistent with climate-change drivers, but yet to significantly impact whole-community composition. The Amazon observational record suggests that the increase in atmospheric CO 2 is driving a shift within tree communities to large-statured species and that climate changes to date will impact forest composition, but long generation times of tropical trees mean that biodiversity change is lagging behind climate change.
Address Museu Paraense Emílio Goeldi, Pará, Brazil
Corporate Author Thesis
Publisher Blackwell Publishing Ltd Place of Publication Editor
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ISSN 13541013 (Issn) ISBN Medium
Area Expedition Conference
Notes Cited By :21; Export Date: 6 January 2020; Correspondence Address: Esquivel-Muelbert, A.; School of Geography, University of LeedsUnited Kingdom; email: adriane.esquivel@gmail.com Approved no
Call Number EcoFoG @ webmaster @ Serial 905
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Author 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 (up) 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 Fontaine, S.; Stahl, C.; Klumpp, K.; Picon-Cochard, C.; Grise, M.M.; Dezécache, C.; Ponchant, L.; Freycon, V.; Blanc, L.; Bonal, D.; Burban, B.; Soussana, J.-F.; Blanfort, V.; Alvarez, G.
Title Response to Editor to the comment by Schipper and Smith to our paper entitled 'Continuous soil carbon storage of old permanent pastures in Amazonia' Type Journal Article
Year 2018 Publication Global Change Biology Abbreviated Journal (up) Global Change Biology
Volume 24 Issue 3 Pages e732-e733
Keywords chronosequence study; continuous C accumulation; deep soil C; eddy covariance; grassland
Abstract
Address
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Publisher Place of Publication Editor
Language Summary Language Original Title
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Notes Export Date: 28 February 2018 Approved no
Call Number EcoFoG @ webmaster @ Fontaine_etal2018 Serial 796
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Author Bastin, J.-F.; Rutishauser, E.; Kellner, J.R.; Saatchi, S.; Pélissier, R.; Hérault, B.; Slik, F.; Bogaert, J.; De Cannière, C.; Marshall, A.R.; Poulsen, J.; Alvarez-Loyayza, P.; Andrade, A.; Angbonga-Basia, A.; Araujo-Murakami, A.; Arroyo, L.; Ayyappan, N.; de Azevedo, C.P.; Banki, O.; Barbier, N.; Barroso, J.G.; Beeckman, H.; Bitariho, R.; Boeckx, P.; Boehning-Gaese, K.; Brandão, H.; Brearley, F.Q.; Breuer Ndoundou Hockemba, M.; Brienen, R.; Camargo, J.L.C.; Campos-Arceiz, A.; Cassart, B.; Chave, J.; Chazdon, R.; Chuyong, G.; Clark, D.B.; Clark, C.J.; Condit, R.; Honorio Coronado, E.N.; Davidar, P.; de Haulleville, T.; Descroix, L.; Doucet, J.-L.; Dourdain, A.; Droissart, V.; Duncan, T.; Silva Espejo, J.; Espinosa, S.; Farwig, N.; Fayolle, A.; Feldpausch, T.R.; Ferraz, A.; Fletcher, C.; Gajapersad, K.; Gillet, J.-F.; Amaral, I.L. do; Gonmadje, C.; Grogan, J.; Harris, D.; Herzog, S.K.; Homeier, J.; Hubau, W.; Hubbell, S.P.; Hufkens, K.; Hurtado, J.; Kamdem, N.G.; Kearsley, E.; Kenfack, D.; Kessler, M.; Labrière, N.; Laumonier, Y.; Laurance, S.; Laurance, W.F.; Lewis, S.L.; Libalah, M.B.; Ligot, G.; Lloyd, J.; Lovejoy, T.E.; Malhi, Y.; Marimon, B.S.; Marimon Junior, B.H.; Martin, E.H.; Matius, P.; Meyer, V.; Mendoza Bautista, C.; Monteagudo-Mendoza, A.; Mtui, A.; Neill, D.; Parada Gutierrez, G.A.; Pardo, G.; Parren, M.; Parthasarathy, N.; Phillips, O.L.; Pitman, N.C.A.; Ploton, P.; Ponette, Q.; Ramesh, B.R.; Razafimahaimodison, J.-C.; Réjou-Méchain, M.; Rolim, S.G.; Saltos, H.R.; Rossi, L.M.B.; Spironello, W.R.; Rovero, F.; Saner, P.; Sasaki, D.; Schulze, M.; Silveira, M.; Singh, J.; Sist, P.; Sonke, B.; Soto, J.D.; de Souza, C.R.; Stropp, J.; Sullivan, M.J.P.; Swanepoel, B.; Steege, H. ter; Terborgh, J.; Texier, N.; Toma, T.; Valencia, R.; Valenzuela, L.; Ferreira, L.V.; Valverde, F.C.; Van Andel, T.R.; Vasque, R.; Verbeeck, H.; Vivek, P.; Vleminckx, J.; Vos, V.A.; Wagner, F.H.; Warsudi, P.P.; Wortel, V.; Zagt, R.J.; Zebaze, D.
Title Pan-tropical prediction of forest structure from the largest trees Type Journal Article
Year 2018 Publication Global Ecology and Biogeography Abbreviated Journal (up) Global Ecol Biogeogr
Volume 27 Issue 11 Pages 1366-1383
Keywords carbon; climate change; forest structure; large trees; pan-tropical; Redd+; tropical forest ecology
Abstract Abstract Aim Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location Pan-tropical. Time period Early 21st century. Major taxa studied Woody plants. Methods Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50?70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Main conclusions Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change.
Address
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Publisher John Wiley & Sons, Ltd (10.1111) Place of Publication Editor
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ISSN 1466-822x ISBN Medium
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Notes doi: 10.1111/geb.12803 Approved no
Call Number EcoFoG @ webmaster @ Serial 845
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Author Marino, N.A.C.; Céréghino, R.; Gilbert, B.; Petermann, J.S.; Srivastava, D.S.; de Omena, P.M.; Bautista, F.O.; Guzman, L.M.; Romero, G.Q.; Trzcinski, M.K.; Barberis, I.M.; Corbara, B.; Debastiani, V.J.; Dézerald, O.; Kratina, P.; Leroy, C.; MacDonald, A.A.M.; Montero, G.; Pillar, V.D.; Richardson, B.A.; Richardson, M.J.; Talaga, S.; Gonçalves, A.Z.; Piccoli, G.C.O.; Jocqué, M.; Farjalla, V.F.
Title Species niches, not traits, determine abundance and occupancy patterns: A multi-site synthesis Type Journal Article
Year 2020 Publication Global Ecology and Biogeography Abbreviated Journal (up) Global Ecol. Biogeogr.
Volume 29 Issue 2 Pages 295-308
Keywords abundance; environmental niche; functional distinctiveness; functional traits; metacommunity; niche breadth; niche position; occupancy; abundance; biodiversity; functional group; geographical distribution; invertebrate; Neotropical Region; niche breadth; Invertebrata
Abstract Aim: Locally abundant species are usually widespread, and this pattern has been related to properties of the niches and traits of species. However, such explanations fail to account for the potential of traits to determine species niches and often overlook statistical artefacts. Here, we examine how trait distinctiveness determines the abilities of species to exploit either common habitats (niche position) or a range of habitats (niche breadth) and how niche position and breadth, in turn, affect abundance and occupancy. We also examine how statistical artefacts moderate these relationships. Location: Sixteen sites in the Neotropics. Time period: 1993–2014. Major taxa studied: Aquatic invertebrates from tank bromeliads. Methods: We measured the environmental niche position and breadth of each species and calculated its trait distinctiveness as the average trait difference from all other species at each site. Then, we used a combination of structural equation models and a meta-analytical approach to test trait–niche relationships and a null model to control for statistical artefacts. Results: The trait distinctiveness of each species was unrelated to its niche properties, abundance and occupancy. In contrast, niche position was the main predictor of abundance and occupancy; species that used the most common environmental conditions found across bromeliads were locally abundant and widespread. Contributions of niche breadth to such patterns were attributable to statistical artefacts, indicating that effects of niche breadth might have been overestimated in previous studies. Main conclusions: Our study reveals the generality of niche position in explaining one of the most common ecological patterns. The robustness of this result is underscored by the geographical extent of our study and our control of statistical artefacts. We call for a similar examination across other systems, which is an essential task to understand the drivers of commonness across the tree of life. © 2019 John Wiley & Sons Ltd
Address Aquatic and Terrestrial Ecology, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
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 1466822x (Issn) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number EcoFoG @ webmaster @ Serial 991
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Author Yazdani, R.; Scotti, I.; Jansson, G.; Plomion, C.; Mathur, G.
Title Inheritance and diversity of simple sequence repeat (SSR) microsatellite markers in various families of Picea abies Type Journal Article
Year 2003 Publication Hereditas Abbreviated Journal (up) Hereditas
Volume 138 Issue 3 Pages 219-227
Keywords
Abstract A large number of sequence-specific SSRs were screened by using electrophoresis on metaphore agarose gels with the bands visualized by ethidium bromide staining. Many SSRs appeared as codominant and many as dominant markers, with presence or absence of bands. A simple Mendelian inheritance pattern for most codominant and dominant SSR loci was found. For many codominant SSR markers, null alleles were detected. The proportion of dominant microsatellites detected in this study (close to 50 %) was much higher than that commonly reported in many other studies. A high proportion of dominant markers together with a high frequency of codominant markers with null alleles may represent two important limitations for the use of microsatellites in different studies. On the other hand, many polymorphic codominant SSR microsatellite markers were found to be highly repeatable, and can be used for population studies, seed certification, quality control of controlled crosses, paternity analysis, pollen contamination, and mapping of QTL in related families. In this paper, we report on the inheritance pattern and diversity of codominant and dominant SSR microsatellites in seven families of Picea abies sharing a common mother.
Address Swedish Univ Agr Sci, Dept Plant Biol & Forest Genet, Uppsala, Sweden
Corporate Author Thesis
Publisher BLACKWELL MUNKSGAARD Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0018-0661 ISBN Medium
Area Expedition Conference
Notes ISI:000187074000010 Approved no
Call Number EcoFoG @ eric.marcon @ Serial 268
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