| Records |
| Author |
Pastorello, G.; Trotta, C.; Canfora, E.; Chu, H.; Christianson, D.; Cheah, Y.-W.; Poindexter, C.; Chen, J.; Elbashandy, A.; Humphrey, M.; Isaac, P.; Polidori, D.; Ribeca, A.; van Ingen, C.; Zhang, L.; Amiro, B.; Ammann, C.; Arain, M.A.; Ardö, J.; Arkebauer, T.; Arndt, S.K.; Arriga, N.; Aubinet, M.; Aurela, M.; Baldocchi, D.; Barr, A.; Beamesderfer, E.; Marchesini, L.B.; Bergeron, O.; Beringer, J.; Bernhofer, C.; Berveiller, D.; Billesbach, D.; Black, T.A.; Blanken, P.D.; Bohrer, G.; Boike, J.; Bolstad, P.V.; Bonal, D.; Bonnefond, J.-M.; Bowling, D.R.; Bracho, R.; Brodeur, J.; Brümmer, C.; Buchmann, N.; Burban, B.; Burns, S.P.; Buysse, P.; Cale, P.; Cavagna, M.; Cellier, P.; Chen, S.; Chini, I.; Christensen, T.R.; Cleverly, J.; Collalti, A.; Consalvo, C.; Cook, B.D.; Cook, D.; Coursolle, C.; Cremonese, E.; Curtis, P.S.; D'Andrea, E.; da Rocha, H.; Dai, X.; Davis, K.J.; De Cinti, B.; de Grandcourt, A.; De Ligne, A.; De Oliveira, R.C.; Delpierre, N.; Desai, A.R.; Di Bella, C.M.; di Tommasi, P.; Dolman, H.; Domingo, F.; Dong, G.; Dore, S.; Duce, P.; Dufrêne, E.; Dunn, A.; Dušek, J.; Eamus, D.; Eichelmann, U.; ElKhidir, H.A.M.; Eugster, W.; Ewenz, C.M.; Ewers, B.; Famulari, D.; Fares, S.; Feigenwinter, I.; Feitz, A.; Fensholt, R.; Filippa, G.; Fischer, M.; Frank, J.; Galvagno, M.; Gharun, M.; Gianelle, D.; Gielen, B.; Gioli, B.; Gitelson, A.; Goded, I.; Goeckede, M.; Goldstein, A.H.; Gough, C.M.; Goulden, M.L.; Graf, A.; Griebel, A.; Gruening, C.; Grünwald, T.; Hammerle, A.; Han, S.; Han, X.; Hansen, B.U.; Hanson, C.; Hatakka, J.; He, Y.; Hehn, M.; Heinesch, B.; Hinko-Najera, N.; Hörtnagl, L.; Hutley, L.; Ibrom, A.; Ikawa, H.; Jackowicz-Korczynski, M.; Janouš, D.; Jans, W.; Jassal, R.; Jiang, S.; Kato, T.; Khomik, M.; Klatt, J.; Knohl, A.; Knox, S.; Kobayashi, H.; Koerber, G.; Kolle, O.; Kosugi, Y.; Kotani, A.; Kowalski, A.; Kruijt, B.; Kurbatova, J.; Kutsch, W.L.; Kwon, H.; Launiainen, S.; Laurila, T.; Law, B.; Leuning, R.; Li, Y.; Liddell, M.; Limousin, J.-M.; Lion, M.; Liska, A.J.; Lohila, A.; López-Ballesteros, A.; López-Blanco, E.; Loubet, B.; Loustau, D.; Lucas-Moffat, A.; Lüers, J.; Ma, S.; Macfarlane, C.; Magliulo, V.; Maier, R.; Mammarella, I.; Manca, G.; Marcolla, B.; Margolis, H.A.; Marras, S.; Massman, W.; Mastepanov, M.; Matamala, R.; Matthes, J.H.; Mazzenga, F.; McCaughey, H.; McHugh, I.; McMillan, A.M.S.; Merbold, L.; Meyer, W.; Meyers, T.; Miller, S.D.; Minerbi, S.; Moderow, U.; Monson, R.K.; Montagnani, L.; Moore, C.E.; Moors, E.; Moreaux, V.; Moureaux, C.; Munger, J.W.; Nakai, T.; Neirynck, J.; Nesic, Z.; Nicolini, G.; Noormets, A.; Northwood, M.; Nosetto, M.; Nouvellon, Y.; Novick, K.; Oechel, W.; Olesen, J.E.; Ourcival, J.-M.; Papuga, S.A.; Parmentier, F.-J.; Paul-Limoges, E.; Pavelka, M.; Peichl, M.; Pendall, E.; Phillips, R.P.; Pilegaard, K.; Pirk, N.; Posse, G.; Powell, T.; Prasse, H.; Prober, S.M.; Rambal, S.; Rannik, Ü.; Raz-Yaseef, N.; Reed, D.; de Dios, V.R.; Restrepo-Coupe, N.; Reverter, B.R.; Roland, M.; Sabbatini, S.; Sachs, T.; Saleska, S.R.; Sánchez-Cañete, E.P.; Sanchez-Mejia, Z.M.; Schmid, H.P.; Schmidt, M.; Schneider, K.; Schrader, F.; Schroder, I.; Scott, R.L.; Sedlák, P.; Serrano-Ortíz, P.; Shao, C.; Shi, P.; Shironya, I.; Siebicke, L.; Šigut, L.; Silberstein, R.; Sirca, C.; Spano, D.; Steinbrecher, R.; Stevens, R.M.; Sturtevant, C.; Suyker, A.; Tagesson, T.; Takanashi, S.; Tang, Y.; Tapper, N.; Thom, J.; Tiedemann, F.; Tomassucci, M.; Tuovinen, J.-P.; Urbanski, S.; Valentini, R.; van der Molen, M.; van Gorsel, E.; van Huissteden, K.; Varlagin, A.; Verfaillie, J.; Vesala, T.; Vincke, C.; Vitale, D.; Vygodskaya, N.; Walker, J.P.; Walter-Shea, E.; Wang, H.; Weber, R.; Westermann, S.; Wille, C.; Wofsy, S.; Wohlfahrt, G.; Wolf, S.; Woodgate, W.; Li, Y.; Zampedri, R.; Zhang, J.; Zhou, G.; Zona, D.; Agarwal, D.; Biraud, S.; Torn, M.; Papale, D. |
| Title |
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data |
Type |
Journal Article |
| Year |
2020 |
Publication |
Scientific data |
Abbreviated Journal |
Sci Data |
| Volume |
7 |
Issue |
1 |
Pages |
225 |
| Keywords |
article; breathing; ecophysiology; ecosystem; Eddy covariance; licence; metadata; photosynthesis; pipeline; remote sensing; time series analysis; uncertainty |
| Abstract |
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible. |
| Address |
Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy |
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Thesis |
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Publisher  |
NLM (Medline) |
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20524463 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
958 |
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| Author |
Nixon, S.; Agwa, A.; Robinson, S.; Walker, A.; Touchard, A.; Schroeder, C.; Vetter, I.; Kotze, A.C.; Herzig, V.; King, G.F. |
| Title |
Discovery and characterisation of novel peptides from Amazonian stinging ant venoms with antiparasitic activity |
Type |
Journal Article |
| Year |
2020 |
Publication |
Toxicon |
Abbreviated Journal |
Toxicon |
| Volume |
177 |
Issue |
1 |
Pages |
S60 |
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| Abstract |
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| Address |
The Institute for Molecular Bioscience, The University of Queensland, Australia; CSIRO Agriculture and Food, Australia; CNRS, UMR Ecologie des forêts de Guyane, France |
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| Publisher |
NLM (Medline) |
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18793150 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
973 |
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| Author |
Gargallo-Garriga, A.; Sardans, J.; Granda, V.; Llusià, J.; Peguero, G.; Asensio, D.; Ogaya, R.; Urbina, I.; Van Langenhove, L.; Verryckt, L.T.; Chave, J.; Courtois, E.A.; Stahl, C.; Grau, O.; Klem, K.; Urban, O.; Janssens, I.A.; Peñuelas, J. |
| Title |
Different “metabolomic niches” of the highly diverse tree species of the French Guiana rainforests |
Type |
Journal Article |
| Year |
2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
| Volume |
10 |
Issue |
|
Pages |
6937 |
| Keywords |
article; ecological niche; French Guiana; metabolome; plant leaf; rainy season; reproduction; stress; tropical rain forest |
| Abstract |
Tropical rainforests harbor a particularly high plant diversity. We hypothesize that potential causes underlying this high diversity should be linked to distinct overall functionality (defense and growth allocation, anti-stress mechanisms, reproduction) among the different sympatric taxa. In this study we tested the hypothesis of the existence of a metabolomic niche related to a species-specific differential use and allocation of metabolites. We tested this hypothesis by comparing leaf metabolomic profiles of 54 species in two rainforests of French Guiana. Species identity explained most of the variation in the metabolome, with a species-specific metabolomic profile across dry and wet seasons. In addition to this “homeostatic” species-specific metabolomic profile significantly linked to phylogenetic distances, also part of the variance (flexibility) of the metabolomic profile was explained by season within a single species. Our results support the hypothesis of the high diversity in tropical forest being related to a species-specific metabolomic niche and highlight ecometabolomics as a tool to identify this species functional diversity related and consistent with the ecological niche theory. © 2020, The Author(s). |
| Address |
INRA, UMR EcoFoG, CNRS, Cirad, AgroParisTech, Université des Antilles, Université de Guyane, Kourou, 97310, France |
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Thesis |
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| Publisher |
Nature Research |
Place of Publication |
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20452322 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
930 |
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| Author |
Romero, G.Q.; Marino, N.A.C.; MacDonald, A.A.M.; Céréghino, R.; Trzcinski, M.K.; Mercado, D.A.; Leroy, C.; Corbara, B.; Farjalla, V.F.; Barberis, I.M.; Dézerald, O.; Hammill, E.; Atwood, T.B.; Piccoli, G.C.O.; Bautista, F.O.; Carrias, J.-F.; Leal, J.S.; Montero, G.; Antiqueira, P.A.P.; Freire, R.; Realpe, E.; Amundrud, S.L.; de Omena, P.M.; Campos, A.B.A.; Kratina, P.; O’Gorman, E.J.; Srivastava, D.S. |
| Title |
Extreme rainfall events alter the trophic structure in bromeliad tanks across the Neotropics |
Type |
Journal Article |
| Year |
2020 |
Publication |
Nature Communications |
Abbreviated Journal |
Nat. Commun. |
| Volume |
11 |
Issue |
3215 |
Pages |
|
| Keywords |
fresh water; rain; fresh water; agricultural intensification; angiosperm; biomass; climate change; ecosystem function; extreme event; food web; freshwater ecosystem; Neotropic Ecozone; precipitation intensity; rainfall; trophic structure; Article; biomass; Central America; controlled study; detritivore; drought; flooding; food web; hydrology; microcosm; Neotropics; nonhuman; precipitation; predator; South America; trophic level; animal; biodiversity; Bromelia; climate change; ecosystem; flooding; food chain; Central America; South America; Animals; Biodiversity; Biomass; Bromelia; Climate Change; Droughts; Ecosystem; Floods; Food Chain; Fresh Water; Hydrology; South America |
| Abstract |
Changes in global and regional precipitation regimes are among the most pervasive components of climate change. Intensification of rainfall cycles, ranging from frequent downpours to severe droughts, could cause widespread, but largely unknown, alterations to trophic structure and ecosystem function. We conducted multi-site coordinated experiments to show how variation in the quantity and evenness of rainfall modulates trophic structure in 210 natural freshwater microcosms (tank bromeliads) across Central and South America (18°N to 29°S). The biomass of smaller organisms (detritivores) was higher under more stable hydrological conditions. Conversely, the biomass of predators was highest when rainfall was uneven, resulting in top-heavy biomass pyramids. These results illustrate how extremes of precipitation, resulting in localized droughts or flooding, can erode the base of freshwater food webs, with negative implications for the stability of trophic dynamics. © 2020, The Author(s). |
| Address |
Institute of Biological Sciences, Universidade Federal do Pará, Belém, PA, Brazil |
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Thesis |
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| Publisher |
Nature Research |
Place of Publication |
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Editor |
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Edition |
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20411723 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
944 |
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Esquivel-Muelbert, A.; Phillips, O.L.; Brienen, R.J.W.; Fauset, S.; Sullivan, M.J.P.; Baker, T.R.; Chao, K.-J.; Feldpausch, T.R.; Gloor, E.; Higuchi, N.; Houwing-Duistermaat, J.; Lloyd, J.; Liu, H.; Malhi, Y.; Marimon, B.; Marimon Junior, B.H.; Monteagudo-Mendoza, A.; Poorter, L.; Silveira, M.; Torre, E.V.; Dávila, E.A.; del Aguila Pasquel, J.; Almeida, E.; Loayza, P.A.; Andrade, A.; Aragão, L.E.O.C.; Araujo-Murakami, A.; Arets, E.; Arroyo, L.; Aymard C, G.A.; Baisie, M.; Baraloto, C.; Camargo, P.B.; Barroso, J.; Blanc, L.; Bonal, D.; Bongers, F.; Boot, R.; Brown, F.; Burban, B.; Camargo, J.L.; Castro, W.; Moscoso, V.C.; Chave, J.; Comiskey, J.; Valverde, F.C.; da Costa, A.L.; Cardozo, N.D.; Di Fiore, A.; Dourdain, A.; Erwin, T.; Llampazo, G.F.; Vieira, I.C.G.; Herrera, R.; Honorio Coronado, E.; Huamantupa-Chuquimaco, I.; Jimenez-Rojas, E.; Killeen, T.; Laurance, S.; Laurance, W.; Levesley, A.; Lewis, S.L.; Ladvocat, K.L.L.M.; Lopez-Gonzalez, G.; Lovejoy, T.; Meir, P.; Mendoza, C.; Morandi, P.; Neill, D.; Nogueira Lima, A.J.; Vargas, P.N.; de Oliveira, E.A.; Camacho, N.P.; Pardo, G.; Peacock, J.; Peña-Claros, M.; Peñuela-Mora, M.C.; Pickavance, G.; Pipoly, J.; Pitman, N.; Prieto, A.; Pugh, T.A.M.; Quesada, C.; Ramirez-Angulo, H.; de Almeida Reis, S.M.; Rejou-Machain, M.; Correa, Z.R.; Bayona, L.R.; Rudas, A.; Salomão, R.; Serrano, J.; Espejo, J.S.; Silva, N.; Singh, J.; Stahl, C.; Stropp, J.; Swamy, V.; Talbot, J.; ter Steege, H.; Terborgh, J.; Thomas, R.; Toledo, M.; Torres-Lezama, A.; Gamarra, L.V.; van der Heijden, G.; van der Meer, P.; van der Hout, P.; Martinez, R.V.; Vieira, S.A.; Cayo, J.V.; Vos, V.; Zagt, R.; Zuidema, P.; Galbraith, D. |
| Title |
Tree mode of death and mortality risk factors across Amazon forests |
Type |
Journal Article |
| Year |
2020 |
Publication |
Nature Communications |
Abbreviated Journal |
Nat. Commun. |
| Volume |
11 |
Issue |
5515 |
Pages |
|
| Keywords |
bioclimatology; carbon sink; ecological modeling; growth; holistic approach; mortality; mortality risk; risk factor; survival; trade-off; tropical forest; article; climate; controlled study; forest; growth rate; human; mortality rate; mortality risk; survival; biological model; biomass; Brazil; carbon sequestration; ecology; ecosystem; environmental monitoring; growth, development and aging; proportional hazards model; risk factor; tree; tropic climate; Amazonia; carbon dioxide; Biomass; Brazil; Carbon Dioxide; Carbon Sequestration; Ecology; Ecosystem; Environmental Monitoring; Forests; Models, Biological; Proportional Hazards Models; Risk Factors; Trees; Tropical Climate |
| Abstract |
The carbon sink capacity of tropical forests is substantially affected by tree mortality. However, the main drivers of tropical tree death remain largely unknown. Here we present a pan-Amazonian assessment of how and why trees die, analysing over 120,000 trees representing > 3800 species from 189 long-term RAINFOR forest plots. While tree mortality rates vary greatly Amazon-wide, on average trees are as likely to die standing as they are broken or uprooted—modes of death with different ecological consequences. Species-level growth rate is the single most important predictor of tree death in Amazonia, with faster-growing species being at higher risk. Within species, however, the slowest-growing trees are at greatest risk while the effect of tree size varies across the basin. In the driest Amazonian region species-level bioclimatic distributional patterns also predict the risk of death, suggesting that these forests are experiencing climatic conditions beyond their adaptative limits. These results provide not only a holistic pan-Amazonian picture of tree death but large-scale evidence for the overarching importance of the growth–survival trade-off in driving tropical tree mortality. © 2020, The Author(s). |
| Address |
Tropenbos International, Wageningen, Netherlands |
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Thesis |
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| Publisher |
Nature Research |
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20411723 (Issn) |
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no |
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EcoFoG @ webmaster @ |
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945 |
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ter Steege, H.; Prado, P.I.; Lima, R.A.F.; Pos, E.; de Souza Coelho, L.; de Andrade Lima Filho, D.; Salomão, R.P.; Amaral, I.L.; de Almeida Matos, F.D.; Castilho, C.V.; Phillips, O.L.; Guevara, J.E.; de Jesus Veiga Carim, M.; Cárdenas López, D.; Magnusson, W.E.; Wittmann, F.; Martins, M.P.; Sabatier, D.; Irume, M.V.; da Silva Guimarães, J.R.; Molino, J.-F.; Bánki, O.S.; Piedade, M.T.F.; Pitman, N.C.A.; Ramos, J.F.; Monteagudo Mendoza, A.; Venticinque, E.M.; Luize, B.G.; Núñez Vargas, P.; Silva, T.S.F.; de Leão Novo, E.M.M.; Reis, N.F.C.; Terborgh, J.; Manzatto, A.G.; Casula, K.R.; Honorio Coronado, E.N.; Montero, J.C.; Duque, A.; Costa, F.R.C.; Castaño Arboleda, N.; Schöngart, J.; Zartman, C.E.; Killeen, T.J.; Marimon, B.S.; Marimon-Junior, B.H.; Vasquez, R.; Mostacedo, B.; Demarchi, L.O.; Feldpausch, T.R.; Engel, J.; Petronelli, P.; Baraloto, C.; Assis, R.L.; Castellanos, H.; Simon, M.F.; de Medeiros, M.B.; Quaresma, A.; Laurance, S.G.W.; Rincón, L.M.; Andrade, A.; Sousa, T.R.; Camargo, J.L.; Schietti, J.; Laurance, W.F.; de Queiroz, H.L.; Nascimento, H.E.M.; Lopes, M.A.; de Sousa Farias, E.; Magalhães, J.L.L.; Brienen, R.; Aymard C, G.A.; Revilla, J.D.C.; Vieira, I.C.G.; Cintra, B.B.L.; Stevenson, P.R.; Feitosa, Y.O.; Duivenvoorden, J.F.; Mogollón, H.F.; Araujo-Murakami, A.; Ferreira, L.V.; Lozada, J.R.; Comiskey, J.A.; de Toledo, J.J.; Damasco, G.; Dávila, N.; Lopes, A.; García-Villacorta, R.; Draper, F.; Vicentini, A.; Cornejo Valverde, F.; Lloyd, J.; Gomes, V.H.F.; Neill, D.; Alonso, A.; Dallmeier, F.; de Souza, F.C.; Gribel, R.; Arroyo, L.; Carvalho, F.A.; de Aguiar, D.P.P.; do Amaral, D.D.; Pansonato, M.P.; Feeley, K.J.; Berenguer, E.; Fine, P.V.A.; Guedes, M.C.; Barlow, J.; Ferreira, J.; Villa, B.; Peñuela Mora, M.C.; Jimenez, E.M.; Licona, J.C.; Cerón, C.; Thomas, R.; Maas, P.; Silveira, M.; Henkel, T.W.; Stropp, J.; Paredes, M.R.; Dexter, K.G.; Daly, D.; Baker, T.R.; Huamantupa-Chuquimaco, I.; Milliken, W.; Pennington, T.; Tello, J.S.; Pena, J.L.M.; Peres, C.A.; Klitgaard, B.; Fuentes, A.; Silman, M.R.; Di Fiore, A.; von Hildebrand, P.; Chave, J.; van Andel, T.R.; Hilário, R.R.; Phillips, J.F.; Rivas-Torres, G.; Noronha, J.C.; Prieto, A.; Gonzales, T.; de Sá Carpanedo, R.; Gonzales, G.P.G.; Gómez, R.Z.; de Jesus Rodrigues, D.; Zent, E.L.; Ruschel, A.R.; Vos, V.A.; Fonty, É.; Junqueira, A.B.; Doza, H.P.D.; Hoffman, B.; Zent, S.; Barbosa, E.M.; Malhi, Y.; de Matos Bonates, L.C.; de Andrade Miranda, I.P.; Silva, N.; Barbosa, F.R.; Vela, C.I.A.; Pinto, L.F.M.; Rudas, A.; Albuquerque, B.W.; Umaña, M.N.; Carrero Márquez, Y.A.; van der Heijden, G.; Young, K.R.; Tirado, M.; Correa, D.F.; Sierra, R.; Costa, J.B.P.; Rocha, M.; Vilanova Torre, E.; Wang, O.; Oliveira, A.A.; Kalamandeen, M.; Vriesendorp, C.; Ramirez-Angulo, H.; Holmgren, M.; Nascimento, M.T.; Galbraith, D.; Flores, B.M.; Scudeller, V.V.; Cano, A.; Ahuite Reategui, M.A.; Mesones, I.; Baider, C.; Mendoza, C.; Zagt, R.; Urrego Giraldo, L.E.; Ferreira, C.; Villarroel, D.; Linares-Palomino, R.; Farfan-Rios, W.; Farfan-Rios, W.; Casas, L.F.; Cárdenas, S.; Balslev, H.; Torres-Lezama, A.; Alexiades, M.N.; Garcia-Cabrera, K.; Valenzuela Gamarra, L.; Valderrama Sandoval, E.H.; Ramirez Arevalo, F.; Hernandez, L.; Sampaio, A.F.; Pansini, S.; Palacios Cuenca, W.; de Oliveira, E.A.; Pauletto, D.; Levesley, A.; Melgaço, K.; Pickavance, G. |
| Title |
Biased-corrected richness estimates for the Amazonian tree flora |
Type |
Journal Article |
| Year |
2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
| Volume |
10 |
Issue |
10130 |
Pages |
|
| Keywords |
adult; article; averaging; flora; forest; population abundance |
| Abstract |
Amazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show that the species abundance distribution of Amazonia is best approximated by a logseries with aggregated individuals, where aggregation increases with rarity. By averaging several methods to estimate total richness, we confirm that over 15,000 tree species are expected to occur in Amazonia. We also show that using ten times the number of plots would result in an increase to just ~50% of those 15,000 estimated species. To get a more complete sample of all tree species, rigorous field campaigns may be needed but the number of trees in Amazonia will remain an estimate for years to come. © 2020, The Author(s). |
| Address |
Instituto de Biodiversidade e Floresta, Universidade Federal do Oeste do Pará, Rua Vera Paz, Campus Tapajós, Santarém, PA 68015-110, Brazil |
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Nature Research |
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Original Title |
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Abbreviated Series Title |
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Edition |
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20452322 (Issn) |
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no |
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EcoFoG @ webmaster @ |
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946 |
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Thomas, H.J.D.; Bjorkman, A.D.; Myers-Smith, I.H.; Elmendorf, S.C.; Kattge, J.; Diaz, S.; Vellend, M.; Blok, D.; Cornelissen, J.H.C.; Forbes, B.C.; Henry, G.H.R.; Hollister, R.D.; Normand, S.; Prevéy, J.S.; Rixen, C.; Schaepman-Strub, G.; Wilmking, M.; Wipf, S.; Cornwell, W.K.; Beck, P.S.A.; Georges, D.; Goetz, S.J.; Guay, K.C.; Rüger, N.; Soudzilovskaia, N.A.; Spasojevic, M.J.; Alatalo, J.M.; Alexander, H.D.; Anadon-Rosell, A.; Angers-Blondin, S.; te Beest, M.; Berner, L.T.; Björk, R.G.; Buchwal, A.; Buras, A.; Carbognani, M.; Christie, K.S.; Collier, L.S.; Cooper, E.J.; Elberling, B.; Eskelinen, A.; Frei, E.R.; Grau, O.; Grogan, P.; Hallinger, M.; Heijmans, M.M.P.D.; Hermanutz, L.; Hudson, J.M.G.; Johnstone, J.F.; Hülber, K.; Iturrate-Garcia, M.; Iversen, C.M.; Jaroszynska, F.; Kaarlejarvi, E.; Kulonen, A.; Lamarque, L.J.; Lantz, T.C.; Lévesque, E.; Little, C.J.; Michelsen, A.; Milbau, A.; Nabe-Nielsen, J.; Nielsen, S.S.; Ninot, J.M.; Oberbauer, S.F.; Olofsson, J.; Onipchenko, V.G.; Petraglia, A.; Rumpf, S.B.; Shetti, R.; Speed, J.D.M.; Suding, K.N.; Tape, K.D.; Tomaselli, M.; Trant, A.J.; Treier, U.A.; Tremblay, M.; Venn, S.E.; Vowles, T.; Weijers, S.; Wookey, P.A.; Zamin, T.J.; Bahn, M.; Blonder, B.; van Bodegom, P.M.; Bond-Lamberty, B.; Campetella, G.; Cerabolini, B.E.L.; Chapin, F.S., III; Craine, J.M.; Dainese, M.; Green, W.A.; Jansen, S.; Kleyer, M.; Manning, P.; Niinemets, Ü.; Onoda, Y.; Ozinga, W.A.; Peñuelas, J.; Poschlod, P.; Reich, P.B.; Sandel, B.; Schamp, B.S.; Sheremetiev, S.N.; de Vries, F.T. |
| Title |
Global plant trait relationships extend to the climatic extremes of the tundra biome |
Type |
Journal Article |
| Year |
2020 |
Publication |
Nature Communications |
Abbreviated Journal |
Nat. Commun. |
| Volume |
11 |
Issue |
1351 |
Pages |
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| Keywords |
biome; climate change; extreme event; global change; growth; interspecific interaction; plant community; tundra; article; plant community; prediction; tundra; warming; classification; climate; ecosystem; genetics; plant; plant development; Climate; Ecosystem; Plant Development; Plants; Tundra |
| Abstract |
The majority of variation in six traits critical to the growth, survival and reproduction of plant species is thought to be organised along just two dimensions, corresponding to strategies of plant size and resource acquisition. However, it is unknown whether global plant trait relationships extend to climatic extremes, and if these interspecific relationships are confounded by trait variation within species. We test whether trait relationships extend to the cold extremes of life on Earth using the largest database of tundra plant traits yet compiled. We show that tundra plants demonstrate remarkably similar resource economic traits, but not size traits, compared to global distributions, and exhibit the same two dimensions of trait variation. Three quarters of trait variation occurs among species, mirroring global estimates of interspecific trait variation. Plant trait relationships are thus generalizable to the edge of global trait-space, informing prediction of plant community change in a warming world. © 2020, Crown. |
| Address |
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Postbus 94240, Amsterdam, 1090 GE, Netherlands |
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| Publisher |
Nature Research |
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Edition |
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| ISSN |
20411723 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
947 |
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Privet, K.; Vedel, V.; Fortunel, C.; Orivel, J.; Martinez, Q.; Cerdan, A.; Baraloto, C.; Pétillon, J. |
| Title |
Relative effciency of pitfall trapping vs. nocturnal hand collecting in assessing soil-dwelling spider diversity along a structural gradient of neotropical habitats |
Type |
Journal Article |
| Year |
2020 |
Publication |
Diversity |
Abbreviated Journal |
Diversity |
| Volume |
12 |
Issue |
2 |
Pages |
81 |
| Keywords |
Araneae; Diversity indices; Functional diversity; Guiana shield; Sampling methods; Species richness; Turnover; Araneae |
| Abstract |
Assessing spider diversity remains a great challenge, especially in tropical habitats where dozens of species can locally co-occur. Pitfall trapping is one of the most widely used techniques to collect spiders, but it suffers from several biases, and its accuracy likely varies with habitat complexity. In this study, we compared the efficiency of passive pitfall trapping versus active nocturnal hand collecting (\"HC) to capture low understory-dwelling spider taxonomical (morpho-species) and functional (hunting guilds) diversity along a structural gradient of habitats in French Guiana. We focused on four habitats describing a structural gradient: garden to the orchard to the forest edge to the undisturbed forest. Overall, estimated morpho-species richness and composition did not vary consistently between habitats, but abundances of ground-hunting spiders decreased significantly with increasing habitat complexity. We found habitat-dependence differences in taxonomic diversity between sampling strategies: NHC revealed higher diversity in the orchard, whereas pitfalls resulted in higher diversity in the forest. Species turnover resulted in high dissimilarity in species composition between habitats using either method. This study shows how pitfall trapping is influenced by habitat structure, rendering this sampling method incomplete for complex, tropical environments. However, pitfall traps remain a valuable component of inventories because they sample distinct assemblage of spiders. © 2020 by the authors. |
| Address |
International Center for Tropical Botany, Department of Biological Sciences, Florida International University, 11200 S.W. 8th Street, Miami, FL 33199, United States |
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Thesis |
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| Publisher |
Mdpi Ag |
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Edition |
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14242818 (Issn) |
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Export Date: 16 March 2020; Correspondence Address: Privet, K.; CNRS, Ecobio (Ecosystèmes, biodiversité, évolution), Université de RennesFrance; email: kprivet@hotmail.fr |
Approved |
no |
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EcoFoG @ webmaster @ |
Serial |
923 |
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| Author |
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 |
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Mdpi Ag |
Place of Publication |
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Edition |
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20724292 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
969 |
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Aili, S.R.; Touchard, A.; Hayward, R.; Robinson, S.D.; Pineda, S.S.; Lalagüe, H.; Mrinalini; Vetter, I.; Undheim, E.A.B.; Kini, R.M.; Escoubas, P.; Padula, M.P.; Myers, G.S.A.; Nicholson, G.M. |
| Title |
An integrated proteomic and transcriptomic analysis reveals the venom complexity of the bullet ant Paraponera clavata |
Type |
Journal Article |
| Year |
2020 |
Publication |
Toxins |
Abbreviated Journal |
Toxins |
| Volume |
12 |
Issue |
5 |
Pages |
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| Keywords |
DRG neurons; Hyaluronidase; Neurotoxins; Paraponeritoxin; Phospholipases; Rp-Hplc; alpha latrotoxin; ant venom; arginine kinase; cathepsin; contig; defensin 2; hyaluronidase; icarapin; metalloproteinase; neurotoxin; novel toxin like protein; phospholipase; phospholipase A2; poneratoxin; proteome; serine proteinase; transcriptome; unclassified drug; amino acid sequence; ant; Article; liquid chromatography-mass spectrometry; neurotoxicity; nonhuman; Paraponera clavata; protein expression; proteomics; sequence database; tandem mass spectrometry; transcriptomics; venom gland |
| Abstract |
A critical hurdle in ant venom proteomic investigations is the lack of databases to comprehensively and specifically identify the sequence and function of venom proteins and peptides. To resolve this, we used venom gland transcriptomics to generate a sequence database that was used to assign the tandem mass spectrometry (MS) fragmentation spectra of venom peptides and proteins to specific transcripts. This was performed alongside a shotgun liquid chromatography-mass spectrometry (LC-MS/MS) analysis of the venom to confirm that these assigned transcripts were expressed as proteins. Through the combined transcriptomic and proteomic investigation of Paraponera clavata venom, we identified four times the number of proteins previously identified using 2D-PAGE alone. In addition to this, by mining the transcriptomic data, we identified several novel peptide sequences for future pharmacological investigations, some of which conform with inhibitor cysteine knot motifs. These types of peptides have the potential to be developed into pharmaceutical or bioinsecticide peptides. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
| Address |
Faculty of Science, University of Nice, Nice, 06000, France |
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Mdpi Ag |
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Edition |
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20726651 (Issn) |
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no |
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EcoFoG @ webmaster @ |
Serial |
972 |
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