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Agrawal, Anurag A. ; Boroczky, Katalin ; Haribal, Meena ; Hastings, Amy P. ; White, Ronald, A. ; Jiang, Ren-Wang ; Duplais, Christophe |
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Cardenolides, toxicity, and the costs of sequestration in the coevolutionary interaction between monarchs and milkweeds |
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Journal Article |
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2021 |
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PNAS |
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118 |
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16 |
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e2024463118 |
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For highly specialized insect herbivores, plant chemical defenses are often co-opted as cues for oviposition and sequestration. In such interactions, can plants evolve novel defenses, pushing herbivores to trade off benefits of specialization with costs of coping with toxins? We tested how variation in milkweed toxins (cardenolides) impacted monarch butterfly ( Danaus plexippus ) growth, sequestration, and oviposition when consuming tropical milkweed ( Asclepias curassavica ), one of two critical host plants worldwide. The most abundant leaf toxin, highly apolar and thiazolidine ring–containing voruscharin, accounted for 40% of leaf cardenolides, negatively predicted caterpillar growth, and was not sequestered. Using whole plants and purified voruscharin, we show that monarch caterpillars convert voruscharin to calotropin and calactin in vivo, imposing a burden on growth. As shown by in vitro experiments, this conversion is facilitated by temperature and alkaline pH. We next employed toxin-target site experiments with isolated cardenolides and the monarch’s neural Na + /K + -ATPase, revealing that voruscharin is highly inhibitory compared with several standards and sequestered cardenolides. The monarch’s typical >50-fold enhanced resistance to cardenolides compared with sensitive animals was absent for voruscharin, suggesting highly specific plant defense. Finally, oviposition was greatest on intermediate cardenolide plants, supporting the notion of a trade-off between benefits and costs of sequestration for this highly specialized herbivore. There is apparently ample opportunity for continued coevolution between monarchs and milkweeds, although the diffuse nature of the interaction, due to migration and interaction with multiple milkweeds, may limit the ability of monarchs to counteradapt. |
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National Academy of Sciences |
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EcoFoG @ webmaster @ |
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1014 |
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Van Langenhove, Leandro ; Verryckt, Lore T. ; Stahl, Clement ; Courtois, Elodie A. ; Urbina, Ifigenia ; Grau, Oriol ; Asensio, Dolores ; Peguero, Guille ; Margalef, Olga ; Freycon, Vincent ; Penuelas, Josep ; Janssens, Ivan A. |
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Soil nutrient variation along a shallow catena in Paracou, French Guiana |
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Journal Article |
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2021 |
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Soil Research |
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59 |
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2 |
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130 |
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French Guiana, lowland tropical forest, Paracou, phosphorus, topography, water drainage. |
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Tropical forests are generally considered to stand upon nutrient-poor soils, but soil nutrient concentrations and availabilities can vary greatly at local scale due to topographic effects on erosion and water drainage. In this study we physically and chemically characterised the soils of 12 study plots situated along a catena with a shallow slope in a tropical rainforest in French Guiana both during the wet and the dry season to evaluate seasonal differences. Soils along the catena were all Acrisols, but differed strongly in their water drainage flux. Over time, this differential drainage has led to differences in soil texture and mineral composition, affecting the adsorption of various nutrients, most importantly phosphorus. The more clayey soils situated on the slope of the catena had higher total concentrations of carbon, nitrogen, phosphorus and several micronutrients, while extractable nutrient concentrations were highest in the sandiest soils situated at the bottom of the catena. We found that carbon, nitrogen and extractable nutrients all varied seasonally, especially in the surface soil layer. These results are interesting because they show that, even at the local scale, small differences in topography can lead to large heterogeneity in nutrient concentrations, which can have large impacts on plant and microbial community organisation at the landscape level. |
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CSIRO Publishing |
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1042 |
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Brosse, Sébastien ; Baglan, Antoine ; Covain, Raphael ; Lalague, Hadrien ; Le Bail, Pierre-Yve ; Vigouroux, Régis ; Quartarollo, Grégory |
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Aquarium trade and fish farms as a source of non-native freshwater fish introductions in French Guiana |
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Journal Article |
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2021 |
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Annales de Limnologie – International Journal of Limnology |
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57 |
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4 |
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Rivers of French Guiana are still little invaded by non-native fish, but several fish introductions were recently recorded through the development of aquarium fish trade and fish farms. Here we report records of 11 non-native fish species. Among them, four (Cichla monoculus, Heros efasciatus, Mesonauta guyanae and Poecilia reticulata) are established and one of them (Heros efasciatus) is rapidly increasing its spatial range. Two species (Hyphessobrycon eques and Pterophyllum scalare) were not retrieved in recent records and are probably extinct from French Guiana. The establishment status of the five other species (Arapaima gigas, Colossoma macropomum, Cyprinus carpio, Oreochromis mossambicus and Osteoglossum bicirrhosum) is uncertain and only a few specimens were observed in the wild. Nevertheless, these species, intensively reared in nearby countries, belong to highly invasive species able to cause detrimental impacts on recipient ecosystems. Those first occurrences of invasive fish species in French Guiana should therefore act as an early warning for both researchers and environmental managers. |
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EDP SCIENCES S A |
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Anglais |
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EcoFoG @ webmaster @ |
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1007 |
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Sullivan, M.J.P.; Talbot, J.; Lewis, S.L.; Phillips, O.L.; Qie, L.; Begne, S.K.; Chave, J.; Cuni-Sanchez, A.; Hubau, W.; Lopez-Gonzalez, G.; Miles, L.; Monteagudo-Mendoza, A.; Sonké, B.; Sunderland, T.; Ter Steege, H.; White, L.J.T.; Affum-Baffoe, K.; Aiba, S.-I.; De Almeida, E.C.; De Oliveira, E.A.; Alvarez-Loayza, P.; Dávila, E.Á.; Andrade, A.; Aragão, L.E.O.C.; Ashton, P.; Aymard, G.A.; Baker, T.R.; Balinga, M.; Banin, L.F.; Baraloto, C.; Bastin, J.-F.; Berry, N.; Bogaert, J.; Bonal, D.; Bongers, F.; Brienen, R.; Camargo, J.L.C.; Cerón, C.; Moscoso, V.C.; Chezeaux, E.; Clark, C.J.; Pacheco, Á.C.; Comiskey, J.A.; Valverde, F.C.; Coronado, E.N.H.; Dargie, G.; Davies, S.J.; De Canniere, C.; Djuikouo, M.N.; Doucet, J.-L.; Erwin, T.L.; Espejo, J.S.; Ewango, C.E.N.; Fauset, S.; Feldpausch, T.R.; Herrera, R.; Gilpin, M.; Gloor, E.; Hall, J.S.; Harris, D.J.; Hart, T.B.; Kartawinata, K.; Kho, L.K.; Kitayama, K.; Laurance, S.G.W.; Laurance, W.F.; Leal, M.E.; Lovejoy, T.; Lovett, J.C.; Lukasu, F.M.; Makana, J.-R.; Malhi, Y.; Maracahipes, L.; Marimon, B.S.; Junior, B.H.M.; Marshall, A.R.; Morandi, P.S.; Mukendi, J.T.; Mukinzi, J.; Nilus, R.; Vargas, P.N.; Camacho, N.C.P.; Pardo, G.; Peña-Claros, M.; Petronelli, P.; Pickavance, G.C.; Poulsen, A.D.; Poulsen, J.R.; Primack, R.B.; Priyadi, H.; Quesada, C.A.; Reitsma, J.; Réjou-Méchain, M.; Restrepo, Z.; Rutishauser, E.; Salim, K.A.; Salomão, R.P.; Samsoedin, I.; Sheil, D.; Sierra, R.; Silveira, M.; Slik, J.W.F.; Steel, L.; Taedoumg, H.; Tan, S.; Terborgh, J.W.; Thomas, S.C.; Toledo, M.; Umunay, P.M.; Gamarra, L.V.; Vieira, I.C.G.; Vos, V.A.; Wang, O.; Willcock, S.; Zemagho, L. |
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Title |
Diversity and carbon storage across the tropical forest biome |
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Journal Article |
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2017 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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7 |
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39102 |
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Tropical forests are global centres of biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest tree diversity-carbon storage relationship. Assessing this relationship is challenging due to the scarcity of inventories where carbon stocks in aboveground biomass and species identifications have been simultaneously and robustly quantified. Here, we compile a unique pan-Tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests. Diversity-carbon relationships among all plots at 1 ha scale across the tropics are absent, and within continents are either weak (Asia) or absent (Amazonia, Africa). A weak positive relationship is detectable within 1 ha plots, indicating that diversity effects in tropical forests may be scale dependent. The absence of clear diversity-carbon relationships at scales relevant to conservation planning means that carbon-centred conservation strategies will inevitably miss many high diversity ecosystems. As tropical forests can have any combination of tree diversity and carbon stocks both require explicit consideration when optimising policies to manage tropical carbon and biodiversity. © The Author(s) 2017. |
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School of Environment, Natural Resources and Geography, Bangor University, Bangor, United Kingdom |
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Export Date: 3 February 2017 |
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EcoFoG @ webmaster @ |
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725 |
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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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2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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10 |
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10130 |
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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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Ramalho, M.O.; Duplais, C.; Orivel, J.; Dejean, A.; Gibson, J.C.; Suarez, A.V.; Moreau, C.S. |
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Development but not diet alters microbial communities in the Neotropical arboreal trap jaw ant Daceton armigerum: an exploratory study |
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Journal Article |
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2020 |
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Scientific Reports |
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10 |
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1 |
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7350 |
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To better understand the evolutionary significance of symbiotic interactions in nature, microbiome studies can help to identify the ecological factors that may shape host-associated microbial communities. In this study we explored both 16S and 18S rRNA microbial communities of D. armigerum from both wild caught individuals collected in the Amazon and individuals kept in the laboratory and fed on controlled diets. We also investigated the role of colony, sample type, development and caste on structuring microbial communities. Our bacterial results (16S rRNA) reveal that (1) there are colony level differences between bacterial communities; (2) castes do not structure communities; (3) immature stages (brood) have different bacterial communities than adults; and 4) individuals kept in the laboratory with a restricted diet showed no differences in their bacterial communities from their wild caught nest mates, which could indicate the presence of a stable and persistent resident bacterial community in this host species. The same categories were also tested for microbial eukaryote communities (18S rRNA), and (5) developmental stage has an influence on the diversity recovered; (6) the diversity of taxa recovered has shown this can be an important tool to understand additional aspects of host biology and species interactions. |
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EcoFoG @ webmaster @ Ramalho2020 |
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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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Coordinated community structure among trees, fungi and invertebrate groups in Amazonian rainforests |
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Journal Article |
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Year |
2019 |
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Scientific Reports |
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Sci. Rep. |
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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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EcoFoG @ webmaster @ |
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879 |
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Gomes, V.H.F.; IJff, S.D.; Raes, N.; Amaral, I.L.; Salomão, R.P.; de Souza Coelho, L.; de Almeida Matos, F.D.; Castilho, C.V.; de Andrade Lima Filho, D.; López, D.C.; Guevara, J.E.; Magnusson, W.E.; Phillips, O.L.; Wittmann, F.; de Jesus Veiga Carim, M.; Martins, M.P.; Irume, M.V.; Sabatier, D.; Molino, J.-F.; Bánki, O.S.; da Silva Guimarães, J.R.; Pitman, N.C.A.; Piedade, M.T.F.; Mendoza, A.M.; Luize, B.G.; Venticinque, E.M.; de Leão Novo, E.M.M.; Vargas, P.N.; Silva, T.S.F.; Manzatto, A.G.; Terborgh, J.; Reis, N.F.C.; Montero, J.C.; Casula, K.R.; Marimon, B.S.; Marimon, B.-H.; Coronado, E.N.H.; Feldpausch, T.R.; Duque, A.; Zartman, C.E.; Arboleda, N.C.; Killeen, T.J.; Mostacedo, B.; Vasquez, R.; Schöngart, J.; Assis, R.L.; Medeiros, M.B.; Simon, M.F.; Andrade, A.; Laurance, W.F.; Camargo, J.L.; Demarchi, L.O.; Laurance, S.G.W.; de Sousa Farias, E.; Nascimento, H.E.M.; Revilla, J.D.C.; Quaresma, A.; Costa, F.R.C.; Vieira, I.C.G.; Cintra, B.B.L.; Castellanos, H.; Brienen, R.; Stevenson, P.R.; Feitosa, Y.; Duivenvoorden, J.F.; Aymard C., G.A.; Mogollón, H.F.; Targhetta, N.; Comiskey, J.A.; Vicentini, A.; Lopes, A.; Damasco, G.; Dávila, N.; García-Villacorta, R.; Levis, C.; Schietti, J.; Souza, P.; Emilio, T.; Alonso, A.; Neill, D.; Dallmeier, F.; Ferreira, L.V.; Araujo-Murakami, A.; Praia, D.; do Amaral, D.D.; Carvalho, F.A.; de Souza, F.C.; Feeley, K.; Arroyo, L.; Pansonato, M.P.; Gribel, R.; Villa, B.; Licona, J.C.; Fine, P.V.A.; Cerón, C.; Baraloto, C.; Jimenez, E.M.; Stropp, J.; Engel, J.; Silveira, M.; Mora, M.C.P.; Petronelli, P.; Maas, P.; Thomas-Caesar, R.; Henkel, T.W.; Daly, D.; Paredes, M.R.; Baker, T.R.; Fuentes, A.; Peres, C.A.; Chave, J.; Pena, J.L.M.; Dexter, K.G.; Silman, M.R.; Jørgensen, P.M.; Pennington, T.; Di Fiore, A.; Valverde, F.C.; Phillips, J.F.; Rivas-Torres, G.; von Hildebrand, P.; van Andel, T.R.; Ruschel, A.R.; Prieto, A.; Rudas, A.; Hoffman, B.; Vela, C.I.A.; Barbosa, E.M.; Zent, E.L.; Gonzales, G.P.G.; Doza, H.P.D.; de Andrade Miranda, I.P.; Guillaumet, J.-L.; Pinto, L.F.M.; de Matos Bonates, L.C.; Silva, N.; Gómez, R.Z.; Zent, S.; Gonzales, T.; Vos, V.A.; Malhi, Y.; Oliveira, A.A.; Cano, A.; Albuquerque, B.W.; Vriesendorp, C.; Correa, D.F.; Torre, E.V.; van der Heijden, G.; Ramirez-Angulo, H.; Ramos, J.F.; Young, K.R.; Rocha, M.; Nascimento, M.T.; Medina, M.N.U.; Tirado, M.; Wang, O.; Sierra, R.; Torres-Lezama, A.; Mendoza, C.; Ferreira, C.; Baider, C.; Villarroel, D.; Balslev, H.; Mesones, I.; Giraldo, L.E.U.; Casas, L.F.; Reategui, M.A.A.; Linares-Palomino, R.; Zagt, R.; Cárdenas, S.; Farfan-Rios, W.; Sampaio, A.F.; Pauletto, D.; Sandoval, E.H.V.; Arevalo, F.R.; Huamantupa-Chuquimaco, I.; Garcia-Cabrera, K.; Hernandez, L.; Gamarra, L.V.; Alexiades, M.N.; Pansini, S.; Cuenca, W.P.; Milliken, W.; Ricardo, J.; Lopez-Gonzalez, G.; Pos, E.; ter Steege, H. |
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Title |
Species Distribution Modelling: Contrasting presence-only models with plot abundance data |
Type |
Journal Article |
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Year |
2018 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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Volume |
8 |
Issue |
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Pages |
1003 |
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Abstract |
Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species’ area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments. |
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2045-2322 |
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EcoFoG @ webmaster @ Gomes2018 |
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789 |
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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 |
Type |
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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Address |
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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Migliavacca, Mirco ; Musavi, Talie ; Mahecha, Miguel D. ; Nelson, Jacob A. ; Knauer, Jurgen ; Baldocchi, Dennis D. ; Perez-Priego, Oscar ; Christiansen, Rune ; Peters, Jonas ; Anderson, Karen ; Bahn, Michael ; Black, T. Andrew ; Blanken, Peter D. ; and all .................. |
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Title |
The three major axes of terrestrial ecosystem function |
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Journal Article |
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2021 |
Publication |
Nature |
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598 |
Issue |
7881 |
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468-472 |
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The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability4,5. Here we derive a set of ecosystem functions6 from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range o |
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Nature Publishing Group |
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EcoFoG @ webmaster @ |
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1044 |
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