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Rodrigues, A.M.S.; Eparvier, V.; Odonne, G.; Amusant, N.; Stien, D.; Houël, E. |
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Title |
The antifungal potential of (Z)-ligustilide and the protective effect of eugenol demonstrated by a chemometric approach |
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Journal Article |
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Year |
2019 |
Publication |
Scientific Reports |
Abbreviated Journal  |
Sci. Rep. |
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Volume |
9 |
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8729 |
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Mankind is on the verge of a postantibiotic era. New concepts are needed in our battle to attenuate infectious diseases around the world and broad spectrum plant-inspired synergistic pharmaceutical preparations should find their place in the global fight against pathogenic microorganisms. To progress towards the discovery of potent antifungal agents against human pathologies, we embarked upon developing chemometric approach coupled with statistical design to unravel the origin of the anticandidal potential of a set of 66 essential oils (EOs). EOs were analyzed by GC-MS and tested against Candida albicans and C. parapsilosis (Minimal Inhibitory Concentration, MIC). An Orthogonal Partial Least Square (OPLS) analysis allowed us to identify six molecules presumably responsible for the anticandidal activity of the oils: (Z)-ligustilide, eugenol, eugenyl acetate, citral, thymol, and β-citronellol. These compounds were combined following a full factorial experimental design approach in order to optimize the anticandidal activity and selectivity index (SI = IC50(MRC5 cells)/MIC) through reconstituted mixtures. (Z)-Ligustilide and citral were the most active compounds, while (Z)-ligustilide and eugenol were the two main factors that most contributed to the increase of the SI. These two terpenes can, therefore, be used to construct bioinspired synergistic anticandidal mixtures. © 2019, The Author(s). |
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CNRS, UMR EcoFoG, AgroParisTech, Cirad, INRA, Université des Antilles, Université de Guyane, Cayenne, 97300, France |
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Nature Publishing Group |
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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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876 |
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Aubry-Kientz, M.; Rossi, V.; Cornu, G.; Wagner, F.; Herault, B. |
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Title |
Temperature rising would slow down tropical forest dynamic in the Guiana Shield |
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Journal Article |
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Year |
2019 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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Volume |
9 |
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10235 |
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Keywords |
article; biomass; climate change; controlled study; diagnostic test accuracy study; driver; human; joint; mortality rate; precipitation; prediction; sensitivity analysis; simulation; statistics; tree growth; tropical rain forest; water stress |
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Increasing evidence shows that the functioning of the tropical forest biome is intimately related to the climate variability with some variables such as annual precipitation, temperature or seasonal water stress identified as key drivers of ecosystem dynamics. How tropical tree communities will respond to the future climate change is hard to predict primarily because several demographic processes act together to shape the forest ecosystem general behavior. To overcome this limitation, we used a joint individual-based model to simulate, over the next century, a tropical forest community experiencing the climate change expected in the Guiana Shield. The model is climate dependent: temperature, precipitation and water stress are used as predictors of the joint growth and mortality rates. We ran simulations for the next century using predictions of the IPCC 5AR, building three different climate scenarios (optimistic RCP2.6, intermediate, pessimistic RCP8.5) and a control (current climate). The basal area, above-ground fresh biomass, quadratic diameter, tree growth and mortality rates were then computed as summary statistics to characterize the resulting forest ecosystem. Whatever the scenario, all ecosystem process and structure variables exhibited decreasing values as compared to the control. A sensitivity analysis identified the temperature as the strongest climate driver of this behavior, highlighting a possible temperature-driven drop of 40% in average forest growth. This conclusion is alarming, as temperature rises have been consensually predicted by all climate scenarios of the IPCC 5AR. Our study highlights the potential slow-down danger that tropical forests will face in the Guiana Shield during the next century. © 2019, The Author(s). |
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Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), Yamoussoukro, Cote d'Ivoire |
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Nature Publishing Group |
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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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878 |
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Vleminckx, J.; Schimann, H.; Decaëns, T.; Fichaux, M.; Vedel, V.; Jaouen, G.; Roy, M.; Lapied, E.; Engel, J.; Dourdain, A.; Petronelli, P.; Orivel, J.; Baraloto, C. |
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Title |
Coordinated community structure among trees, fungi and invertebrate groups in Amazonian rainforests |
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Journal Article |
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Year |
2019 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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Volume |
9 |
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11337 |
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Little is known regarding how trophic interactions shape community assembly in tropical forests. Here we assess multi-taxonomic community assembly rules using a rare standardized coordinated inventory comprising exhaustive surveys of five highly-diverse taxonomic groups exerting key ecological functions: trees, fungi, earthworms, ants and spiders. We sampled 36 1.9-ha plots from four remote locations in French Guiana including precise soil measurements, and we tested whether species turnover was coordinated among groups across geographic and edaphic gradients. All species group pairs exhibited significant compositional associations that were independent from soil conditions. For some of the pairs, associations were also partly explained by soil properties, especially soil phosphorus availability. Our study provides evidence for coordinated turnover among taxonomic groups beyond simple relationships with environmental factors, thereby refining our understanding regarding the nature of interactions occurring among these ecologically important groups. © 2019, The Author(s). |
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CIRAD, UMR Ecologie des Forêts de Guyane, Campus agronomique, BP 316, Kourou Cedex, 97379, France |
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Nature Publishing Group |
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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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879 |
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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. |
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Title |
Different “metabolomic niches” of the highly diverse tree species of the French Guiana rainforests |
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Journal Article |
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Year |
2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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10 |
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6937 |
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article; ecological niche; French Guiana; metabolome; plant leaf; rainy season; reproduction; stress; tropical rain forest |
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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). |
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INRA, UMR EcoFoG, CNRS, Cirad, AgroParisTech, Université des Antilles, Université de Guyane, Kourou, 97310, France |
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Nature Research |
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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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930 |
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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. |
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Title |
Biased-corrected richness estimates for the Amazonian tree flora |
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Journal Article |
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Year |
2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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Volume |
10 |
Issue |
10130 |
Pages |
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Keywords |
adult; article; averaging; flora; forest; population abundance |
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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). |
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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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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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946 |
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Soong, J.L.; Janssens, I.A.; Grau, O.; Margalef, O.; Stahl, C.; Van Langenhove, L.; Urbina, I.; Chave, J.; Dourdain, A.; Ferry, B.; Freycon, V.; Herault, B.; Sardans, J.; Peñuelas, J.; Verbruggen, E. |
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Soil properties explain tree growth and mortality, but not biomass, across phosphorus-depleted tropical forests |
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Journal Article |
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2020 |
Publication |
Scientific reports |
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Sci Rep |
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10 |
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2302 |
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We observed strong positive relationships between soil properties and forest dynamics of growth and mortality across twelve primary lowland tropical forests in a phosphorus-poor region of the Guiana Shield. Average tree growth (diameter at breast height) increased from 0.81 to 2.1 mm yr-1 along a soil texture gradient from 0 to 67% clay, and increasing metal-oxide content. Soil organic carbon stocks in the top 30 cm ranged from 30 to 118 tons C ha-1, phosphorus content ranged from 7 to 600 mg kg-1 soil, and the relative abundance of arbuscular mycorrhizal fungi ranged from 0 to 50%, all positively correlating with soil clay, and iron and aluminum oxide and hydroxide content. In contrast, already low extractable phosphorus (Bray P) content decreased from 4.4 to <0.02 mg kg-1 in soil with increasing clay content. A greater prevalence of arbuscular mycorrhizal fungi in more clayey forests that had higher tree growth and mortality, but not biomass, indicates that despite the greater investment in nutrient uptake required, soils with higher clay content may actually serve to sustain high tree growth in tropical forests by avoiding phosphorus losses from the ecosystem. Our study demonstrates how variation in soil properties that retain carbon and nutrients can help to explain variation in tropical forest growth and mortality, but not biomass, by requiring niche specialization and contributing to biogeochemical diversification across this region. |
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Institut National Polytechnique Félix Houphouët-Boigny, Ivory CoastYamoussoukro, Cote d'Ivoire |
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NLM (Medline) |
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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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916 |
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Dejean, A.; Ryder, S.; Bolton, B.; Compin, A.; Leponce, M.; Azémar, F.; Céréghino, R.; Orivel, J.; Corbara, B. |
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How territoriality and host-tree taxa determine the structure of ant mosaics |
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Journal Article |
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2015 |
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The Science of Nature |
Abbreviated Journal |
Sci Nat |
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102 |
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33 |
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1-9 |
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Africa; Arboreal ants; Distribution; Host-tree selection; Rainforest canopies |
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Very large colonies of territorially dominant arboreal ants (TDAAs), whose territories are distributed in a mosaic pattern in the canopies of many tropical rainforests and tree crop plantations, have a generally positive impact on their host trees. We studied the canopy of an old Gabonese rainforest (ca 4.25 ha sampled, corresponding to 206 Blarge trees) at a stage just preceding forest maturity (the Caesalpinioideae dominated; the Burseraceae were abundant). The tree crowns sheltered colonies from 13 TDAAs plus a codominant species out of the 25 ant species recorded. By mapping the TDAAs' territories and using a null model cooccurrence analysis, we confirmed the existence of an ant mosaic. Thanks to a large sampling set and the use of the self-organizing map algorithm (SOM), we show that the distribution of the trees influences the structure of the ant mosaic, suggesting that each tree taxon attracts certain TDAA species rather than others. The SOMalso improved our knowledge of the TDAAs' ecological niches, showing that these ant species are ecologically distinct from each other based on their relationships with their supporting trees. Therefore, TDAAs should not systematically be placed in the same functional group even when they belong to the same genus.We conclude by reiterating that, in addition to the role played by TDAAs' territorial competition, host trees contribute to structuring ant mosaics through multiple factors, including host-plant selection by TDAAs, the age of the trees, the presence of extrafloral nectaries, and the taxa of the associated hemipterans. © Springer-Verlag Berlin Heidelberg 2015. |
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Université Clermont Auvergne, Université Blaise Pascal (LMGE), Clermont-Ferrand, France |
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Export Date: 16 October 2015 |
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632 |
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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. |
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Title |
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data |
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Journal Article |
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Year |
2020 |
Publication |
Scientific data |
Abbreviated Journal |
Sci Data |
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Volume |
7 |
Issue |
1 |
Pages |
225 |
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Keywords |
article; breathing; ecophysiology; ecosystem; Eddy covariance; licence; metadata; photosynthesis; pipeline; remote sensing; time series analysis; uncertainty |
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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. |
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Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy |
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NLM (Medline) |
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20524463 (Issn) |
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EcoFoG @ webmaster @ |
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958 |
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Author |
Gao, H.; Grüschow, S.; Barke, J.; Seipke, R.F.; Hill, L.M.; Orivel, J.; Yu, D.W.; Hutchings, M.; Goss, R.J.M. |
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Title |
Filipins: The first antifungal “weed killers” identified from bacteria isolated from the trap-ant |
Type |
Journal Article |
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Year |
2014 |
Publication |
RSC Advances |
Abbreviated Journal |
RSC Adv. |
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Volume |
4 |
Issue |
100 |
Pages |
57267-57270 |
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Keywords |
Anti-fungal |
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Abstract |
Allomerus ants ensure that they have sufficient nitrogen in their diet by trapping and consuming other insects. In order to construct their traps, like the more extensively studied leaf cutter ants, they employ fungal farming. Pest management within these fungal cultures has been speculated to be due to the ants' usage of actinomycetes capable of producing antifungal compounds, analogous to the leafcutter ant mutualism. Here we report the first identification of a series of antifungal compounds, the filipins, and their associated biosynthetic genes isolated from a bacterium associated with this system. |
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State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of ZoologyKunming, Yunnan, China |
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Royal Society of Chemistry |
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20462069 (Issn) |
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Export Date: 20 November 2014; Coden: Rscac; Correspondence Address: Goss, R.J.M.; School of Chemistry, University of St. AndrewsUnited Kingdom; Funding Details: 311848, EC, European Commission |
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EcoFoG @ webmaster @ |
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567 |
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Author |
Vincent, G.; Weissenbacher, E.; Sabatier, D.; Blanc, L.; Proisy, C.; Couteron, P. |
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Title |
Detection des variations de structure de peuplements en foret dense tropicale humide par lidar aeroporte |
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Journal Article |
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Year |
2010 |
Publication |
Revue Francaise de Photogrammetrie et de Teledetection |
Abbreviated Journal |
Rev. Fr. Photogramm. Teledetect. |
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Volume |
191 |
Issue |
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Pages |
42-51 |
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Keywords |
Above-ground biomass estimation; Canopy height model; Stem diameter distribution; Tropical moist forest; Above ground biomass; Above ground level; Airborne LiDAR; Basal area; Canopy Height Models; Carbon stocks; Characterisation; Classical fields; Coefficient of variation; Diameter distributions; Digital terrain model; Flooded areas; Forest ecology; Forest structure; Forest type; High spatial resolution; Individual tree; LIDAR data; Light detection and ranging; Local statistics; Long term; Management issues; Natural forests; Natural variation; Pearson correlation coefficients; Quadratic mean diameter; Soil characteristics; Soil cover; Spatial changes; Spatial resolution; Stem density; Stem diameter; Stem height; Strong correlation; Tree height; Tropical moist forest; Tropical rain forest; Vegetation structure; Vertical accuracy; Water regime; Discriminant analysis; Ecology; Optical radar; Remote sensing; Soils; Statistics; Stem cells; Temperature control; Tropics; Vegetation; Forestry; Biomass; Discriminant Analysis; Ecology; Forest Canopy; Forestry; Radar; Remote Sensing; Stems; Temperature Control; Tropical Atmospheres |
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Abstract |
Characterisation of forest structure is a major stake for forestry, species conservation, carbon stock estimates and many forest ecology and management issues. At large scale natural forest structure tends to vary according to climate and geomorphomology (Paget, 1999; Steege et al., 2006) while soil characteristics (and notably water regime) and syMgenetic stage add some finer scale variation (Oldeman, 1989; Sabatier et al., 1997). Forest structure characterisation traditionally relies on field-based collection of individual tree dimensions such as stem diameter and stem height sampled across tracks of forest (Hall et al., 1998). However, such field intensive methods are costly, and of low accuracy regarding measures of tree heights. Airborne light detection and ranging (LiDAR) technology provides horizontal and vertical Information at high spatial resolutions and vertical accuracies (Lim et al., 2003; Hyyppä et al., 2004). It has the potential for gathering vegetation structure data over large areas rapidly at moderate cost and hence is of particular relevance for poorly sampled, difficult to access and largely unexplored tropical rainforests. In this study we examined the ability of airborne LiDAR to detect spatial changes in the structure of dense tropical rain forest and we probed this remote sensing approach against local statistics derived from stem diameters (i.e. classical field data information) mapped across a large track of forest at a long term experimental site in French Guyana. The large variability in forest structure occurring at the experimental site is du to natural variation of the soil cover (and notably drainage properties) combined with various logging intensities applied 15 years before the LiDAR data were acquired. On this basis ten different forest types were identified at the site (figure 1 and 3). Various stem based statistics were computed for a series of meshes with cells ranging from 30 by 30 m plots to 250 by 250 m plots. These statistics included basal area, stem density, quadratic mean diameter, and diameter distribution percentiles. Similarly local statistics were extracted either from the Canopy Height Model (e.g. median height, mean height, standard height deviation, height coefficient of variation, height percentiles, frequency of hits below 5 m above ground level). Additionally a wetness index (Böhner et al., 2002) was computed at each node of a 5 by 5 m grid from the Digital Terrain Model also extracted from the LiDAR data set. We used both types of cell statistics to discriminate the various forest types. Comparison between the two approaches for a range of spatial resolution is available from in table 1. Results indicate that LiDAR based statistics are essentially as powerful as field based statistics to discriminate forest types at coarse scale. This reflects the very strong correlation between the CHM and the field based stem diameter data. For example (figure 5) the Pearson correlation coefficient between median height and quadratic mean diameter for cells of 125 by 125 m is 0.945 (n=0.72). When a finer resolution is required however as for the detection of seasonally flooded bottomland forest along thalwegs, then LiDAR technology proves more efficient than field based inventories as it combines information from the DTM and the CHM. The wetness index alone correctly retrieves about 2 thirds of the seasonally flooded areas. All in all, discriminant analysis performance of the LiDAR derived information approaches 80% when classifying forests cover at the finest scale of 5 by 5m into 10 different types and reaches 87% when a coarser classification Into 6 forest types is considered (figure 4). |
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IRD, UMR AMAP, Montpellier, France |
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17689791 (Issn) |
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Notes |
Cited By (since 1996): 1; Export Date: 21 October 2011; Source: Scopus; Language of Original Document: French; Correspondence Address: Vincent, G.; IRD, UMR AMAP, Kourou – BP 701 (CIRAD) 97387 Kourou cedex -Guyane, France |
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no |
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EcoFoG @ webmaster @ |
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351 |
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