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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 | 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 | ||
| Permanent link to this record | |||||
| Author | Stahl, C.; Fontaine, S.; Klumpp, K.; Picon-Cochard, C.; Grise, M.M.; Dezecache, C.; Ponchant, L.; Freycon, V.; Blanc, L.; Bonal, D.; Burban, B.; Soussana, J.-F.; Blanfort, V. | ||||
| Title | Continuous soil carbon storage of old permanent pastures in Amazonia | Type | Journal Article | ||
| Year | 2017 | Publication |
Global Change Biology | Abbreviated Journal | Glob Change Biol |
| Volume | 23 | Issue | 8 | Pages | 3382-3392 |
| Keywords | carbon storage; CN coupling; deep soil; mixed-grass pasture; native forest | ||||
| Abstract | Amazonian forests continuously accumulate carbon (C) in biomass and in soil, representing a carbon sink of 0.42–0.65 GtC yr−1. In recent decades, more than 15% of Amazonian forests have been converted into pastures, resulting in net C emissions (~200 tC ha−1) due to biomass burning and litter mineralization in the first years after deforestation. However, little is known about the capacity of tropical pastures to restore a C sink. Our study shows in French Amazonia that the C storage observed in native forest can be partly restored in old (≥24 year) tropical pastures managed with a low stocking rate (±1 LSU ha−1) and without the use of fire since their establishment. A unique combination of a large chronosequence study and eddy covariance measurements showed that pastures stored between −1.27 ± 0.37 and −5.31 ± 2.08 tC ha−1 yr−1 while the nearby native forest stored −3.31 ± 0.44 tC ha−1 yr−1. This carbon is mainly sequestered in the humus of deep soil layers (20–100 cm), whereas no C storage was observed in the 0- to 20-cm layer. C storage in C4 tropical pasture is associated with the installation and development of C3 species, which increase either the input of N to the ecosystem or the C:N ratio of soil organic matter. Efforts to curb deforestation remain an obvious priority to preserve forest C stocks and biodiversity. However, our results show that if sustainable management is applied in tropical pastures coming from deforestation (avoiding fires and overgrazing, using a grazing rotation plan and a mixture of C3 and C4 species), they can ensure a continuous C storage, thereby adding to the current C sink of Amazonian forests. | ||||
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| ISSN | 1365-2486 | ISBN | Medium | ||
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| Notes | Approved | no | |||
| Call Number | EcoFoG @ webmaster @ | Serial | 783 | ||
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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 | Global Change Biology |
| Volume | 24 | Issue | 3 | Pages | e732-e733 |
| Keywords | chronosequence study; continuous C accumulation; deep soil C; eddy covariance; grassland | ||||
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| Notes | Export Date: 28 February 2018 | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ Fontaine_etal2018 | Serial | 796 | ||
| Permanent link to this record | |||||
| 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 | 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 | ||||
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| Publisher | Blackwell Publishing Ltd | Place of Publication | Editor | ||
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| ISSN | 13541013 (Issn) | ISBN | Medium | ||
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| 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 | ||
| Permanent link to this record | |||||
| 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 | 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 | ||||
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| Publisher | Blackwell Publishing Ltd | Place of Publication | Editor | ||
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| ISSN | 13541013 (Issn) | ISBN | Medium | ||
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| Notes | Approved | no | |||
| Call Number | EcoFoG @ webmaster @ | Serial | 918 | ||
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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 | 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 | De Weirdt, M.; Verbeeck, H.; Maignan, F.; Peylin, P.; Poulter, B.; Bonal, D.; Ciais, P.; Steppe, K. | ||||
| Title | Seasonal leaf dynamics for tropical evergreen forests in a process-based global ecosystem model | Type | Journal Article | ||
| Year | 2012 | Publication |
Geoscientific Model Development | Abbreviated Journal | Geoscientific Model Dev. |
| Volume | 5 | Issue | 5 | Pages | 1091-1108 |
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| Abstract | The influence of seasonal phenology on canopy photosynthesis in tropical evergreen forests remains poorly understood, and its representation in global ecosystem models is highly simplified, typically with no seasonal variation of canopy leaf properties taken into account. Including seasonal variation in leaf age and photosynthetic capacity could improve the correspondence of global vegetation model outputs with the wet-dry season CO2 patterns measured at flux tower sites in these forests. We introduced a leaf litterfall dynamics scheme in the global terrestrial ecosystem model ORCHIDEE based on seasonal variations in net primary production (NPP), resulting in higher leaf turnover in periods of high productivity. The modifications in the leaf litterfall scheme induce seasonal variation in leaf age distribution and photosynthetic capacity. We evaluated the results of the modification against seasonal patterns of three long-term in-situ leaf litterfall datasets of evergreen tropical forests in Panama, French Guiana and Brazil. In addition, we evaluated the impact of the model improvements on simulated latent heat (LE) and gross primary productivity (GPP) fluxes for the flux tower sites Guyaflux (French Guiana) and TapajÃ3s (km 67, Brazil). The results show that the introduced seasonal leaf litterfall corresponds well with field inventory leaf litter data and times with its seasonality. Although the simulated litterfall improved substantially by the model modifications, the impact on the modelled fluxes remained limited. The seasonal pattern of GPP improved clearly for the Guyaflux site, but no significant improvement was obtained for the TapajÃ3s site. The seasonal pattern of the modelled latent heat fluxes was hardly changed and remained consistent with the observed fluxes. We conclude that we introduced a realistic and generic litterfall dynamics scheme, but that other processes need to be improved in the model to achieve better simulations of GPP seasonal patterns for tropical evergreen forests. © Author(s) 2012. CC Attribution 3.0 License. | ||||
| Address | INRA Nancy, UMR INRA-UHP1137 Ecologie et Ecophysiologie Forestière, 54280 Champenoux, France | ||||
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| ISSN | 1991959x (Issn) | ISBN | Medium | ||
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| Notes | Export Date: 4 October 2012; Source: Scopus; doi: 10.5194/gmd-5-1091-2012; Language of Original Document: English; Correspondence Address: De Weirdt, M.; Laboratory of Plant Ecology, Department of Applied Ecology and Environmental Biology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; email: marjolein.deweirdt@ugent.be | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 437 | ||
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| Author | Longo, M.; Knox, R.G.; Levine, N.M.; Swann, A.L.S.; Medvigy, D.M.; Dietze, M.C.; Kim, Y.; Zhang, K.; Bonal, D.; Burban, B.; Camargo, P.B.; Hayek, M.N.; Saleska, S.R.; Da Silva, R.; Bras, R.L.; Wofsy, S.C.; Moorcroft, P.R. | ||||
| Title | The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: The Ecosystem Demography model, version 2.2-Part 2: Model evaluation for tropical South America | Type | Journal Article | ||
| Year | 2019 | Publication |
Geoscientific Model Development | Abbreviated Journal | Geoscientific Model Dev. |
| Volume | 12 | Issue | 10 | Pages | 4347-4374 |
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| Abstract | The Ecosystem Demography model version 2.2 (ED-2.2) is a terrestrial biosphere model that simulates the biophysical, ecological, and biogeochemical dynamics of vertically and horizontally heterogeneous terrestrial ecosystems. In a companion paper (Longo et al., 2019a), we described how the model solves the energy, water, and carbon cycles, and verified the high degree of conservation of these properties in long-term simulations that include long-term (multi-decadal) vegetation dynamics. Here, we present a detailed assessment of the model's ability to represent multiple processes associated with the biophysical and biogeochemical cycles in Amazon forests. We use multiple measurements from eddy covariance towers, forest inventory plots, and regional remote-sensing products to assess the model's ability to represent biophysical, physiological, and ecological processes at multiple timescales, ranging from subdaily to century long. The ED-2.2 model accurately describes the vertical distribution of light, water fluxes, and the storage of water, energy, and carbon in the canopy air space, the regional distribution of biomass in tropical South America, and the variability of biomass as a function of environmental drivers. In addition, ED-2.2 qualitatively captures several emergent properties of the ecosystem found in observations, specifically observed relationships between aboveground biomass, mortality rates, and wood density; however, the slopes of these relationships were not accurately captured. We also identified several limitations, including the model's tendency to overestimate the magnitude and seasonality of heterotrophic respiration and to overestimate growth rates in a nutrient-poor tropical site. The evaluation presented here highlights the potential of incorporating structural and functional heterogeneity within biomes in Earth system models (ESMs) and to realistically represent their impacts on energy, water, and carbon cycles. We also identify several priorities for further model development. | ||||
| Address | Georgia Institute of Technology, Atlanta, GA, United States | ||||
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| Publisher | Copernicus GmbH | Place of Publication | Editor | ||
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| ISSN | 1991959x (Issn) | ISBN | Medium | ||
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| Notes | Cited By :1; Export Date: 27 October 2019; Correspondence Address: Longo, M.; Harvard UniversityUnited States; email: mdplongo@gmail.com | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 890 | ||
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| Author | Harper, Anna B. ; Williams, Karina E. ; McGuire, Patrick ; Duran Rojas, Maria Carolina ; Hemming, Debbie ; Verhoef, Anne ; Huntingford, Chris ; Rowland, Lucy ; Marthews, Toby ; Breder Eller, Cleiton ; Mathison, Camilla ; Nobrega, Rodolfo L.B. ; Gedney, Nicola ; Vidale, Pier Luigi ; Otu-Larbi, Fred ; Pandey, Divya | ||||
| Title | Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements | Type | Journal Article | ||
| Year | 2021 | Publication |
Geoscientific Model Development | Abbreviated Journal | |
| Volume | 14 | Issue | 6 | Pages | 3269-3294 |
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| Abstract | Drought is predicted to increase in the future due to climate change, bringing with it myriad impacts on ecosystems. Plants respond to drier soils by reducing stomatal conductance in order to conserve water and avoid hydraulic damage. Despite the importance of plant drought responses for the global carbon cycle and local and regional climate feedbacks, land surface models are unable to capture observed plant responses to soil moisture stress. We assessed the impact of soil moisture stress on simulated gross primary productivity (GPP) and latent energy flux (LE) in the Joint UK Land Environment Simulator (JULES) vn4.9 on seasonal and annual timescales and evaluated 10 different representations of soil moisture stress in the model. For the default configuration, GPP was more realistic in temperate biome sites than in the tropics or high-latitude (cold-region) sites, while LE was best simulated in temperate and high-latitude (cold) sites. Errors that were not due to soil moisture stress, possibly linked to phenology, contributed to model biases for GPP in tropical savanna and deciduous forest sites. We found that three alternative approaches to calculating soil moisture stress produced more realistic results than the default parameterization for most biomes and climates. All of these involved increasing the number of soil layers from 4 to 14 and the soil depth from 3.0 to 10.8 m. In addition, we found improvements when soil matric potential replaced volumetric water content in the stress equation (the “soil14psi” experiments), when the critical threshold value for inducing soil moisture stress was reduced (“soil14p0”), and when plants were able to access soil moisture in deeper soil layers (“soil14_dr*2”). For LE, the biases were highest in the default configuration in temperate mixed forests, with overestimation occurring during most of the year. At these sites, reducing soil moisture stress (with the new parameterizations mentioned above) increased LE and increased model biases but improved the simulated seasonal cycle and brought the monthly variance closer to the measured variance of LE. Further evaluation of the reason for the high bias in LE at many of the sites would enable improvements in both carbon and energy fluxes with new parameterizations for soil moisture stress. Increasing the soil depth and plant access to deep soil moisture improved many aspects of the simulations, and we recommend these settings in future work using JULES or as a general way to improve land surface carbon and water fluxes in other models. In addition, using soil matric potential presents the opportunity to include plant functional type-specific parameters to further improve modeled fluxes. | ||||
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| Publisher | European Geosciences Union | Place of Publication | Editor | ||
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| Call Number | EcoFoG @ webmaster @ | Serial | 1057 | ||
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| Author | Fromin, N.; Saby, N.P.A.; Lensi, R.; Brunet, D.; Porte, B.; Domenach, A.-M.; Roggy, J.-C. | ||||
| Title | Spatial variability of soil microbial functioning in a tropical rainforest of French Guiana using nested sampling | Type | Journal Article | ||
| Year | 2013 | Publication |
Geoderma | Abbreviated Journal | |
| Volume | 197-198 | Issue | Pages | 98-107 | |
| Keywords | Denitrification; Respiration; Scale dependent process; Soil microbial processes; Soil organic matter; Tree influence potential | ||||
| Abstract | Understanding the pattern in spatial distribution of soil microbial processes is critical to understand the environmental factors that regulate them as well as to scale up these processes to ecosystem. Soil samples from a 1. ha tropical rainforest plot (Paracou, French Guiana) were analyzed according a nested sampling approach using different separation distances ranging from 0.4 to 40. m. The variability of substrate induced respiration (SIR) and of denitrification enzyme activity (DEA) was characterized in relation to various soil properties (total C and N contents, NIRS related index of soil organic matter quality, SOMQ, and index of tree influence potential, IP). The variability of SIR and DEA was higher than that of environmental properties. The patterns of accumulated variance as a function of distance varied among the soil properties. The variability of SIR and DEA mainly occurred at small (1. m) scale (and at the 10-40. m-scales for SIR), probably reflecting the quality of litter input that results of the influence of local assemblage of different tree species, though changes in the soil N and C contents. Indeed, total soil C and N contents explained the microbial properties at every scale. Coefficients of codispersion showed that neither SOMQ nor IP did correlate with SIR and DEA, and confirmed that total C and N contents explained microbial properties in a scale dependent and complex manner. Such spatial dependency underlines the importance of soil heterogeneity in this tropical forest with implications for sampling strategies when studying the microbial processes and their response to disturbances. © 2012 Elsevier B.V. | ||||
| Address | UMR EcoFoG, BP 709, 97387 Kourou, GUF, France | ||||
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| Notes | Export Date: 13 February 2013; Source: Scopus | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 466 | ||
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