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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 |
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Scientific Reports |
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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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Year |
2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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Volume |
10 |
Issue |
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 |
Issue |
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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929 |
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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 |
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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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 |
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Journal Article |
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2018 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci. Rep. |
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8 |
Issue |
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Pages |
1003 |
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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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EcoFoG @ webmaster @ Gomes2018 |
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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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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 |
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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Year |
2021 |
Publication |
Nature |
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Volume |
598 |
Issue |
7881 |
Pages |
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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Seibold, Sebastien ; Rammer, Werner ; Hothorn, Torsten ; Seidl, Rupert ; Ulyshen, Michael ; Lorz, Janina ; Cadotte, Marc ; Lindenmayer, David ; Adhikari, Yagya ; Aragón, Roxana ; Bae, Soyeon ; Baldrian, Petr ; Barimani Varandi, Hassan ; Barlow, Jos ; Bässler, Clauss ; Beauchêne, Jacques ; and all ................... |
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Title |
The contribution of insects to global forest deadwood decomposition |
Type |
Journal Article |
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Year |
2021 |
Publication |
Nature |
Abbreviated Journal |
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Volume |
597 |
Issue |
7874 |
Pages |
77-81 |
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The amount of carbon stored in deadwood is equivalent to about 8 per cent of the global forest carbon stocks1. The decomposition of deadwood is largely governed by climate2-5 with decomposer groups-such as microorganisms and insects-contributing to variations in the decomposition rates2,6,7. At the global scale, the contribution of insects to the decomposition of deadwood and carbon release remains poorly understood7. Here we present a field experiment of wood decomposition across 55 forest sites and 6 continents. We find that the deadwood decomposition rates increase with temperature, and the strongest temperature effect is found at high precipitation levels. Precipitation affects the decomposition rates negatively at low temperatures and positively at high temperatures. As a net effect-including the direct consumption by insects and indirect effects through interactions with microorganisms-insects accelerate the decomposition in tropical forests (3.9% median mass loss per year). In temperate and boreal forests, we find weak positive and negative effects with a median mass loss of 0.9 per cent and -0.1 per cent per year, respectively. Furthermore, we apply the experimentally derived decomposition function to a global map of deadwood carbon synthesized from empirical and remote-sensing data, obtaining an estimate of 10.9 ± 3.2 petagram of carbon per year released from deadwood globally, with 93 per cent originating from tropical forests. Globally, the net effect of insects may account for 29 per cent of the carbon flux from deadwood, which suggests a functional importance of insects in the decomposition of deadwood and the carbon cycle. |
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NATURE PUBLISHING GROUP |
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EcoFoG @ webmaster @ |
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1046 |
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Duplais, Christophe ; Sarou-Kanian, Vincent ; Massiot, Dominique ; Hassan, Alia ; Perrone, Barbara ; Estevez, Yannick ; Wertz, John; Martineau, Estelle ; Farjon, Jonathan ; Giraudeau, Patrick, Moreau, Carrie S. |
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Title |
Gut bacteria are essential for normal cutile development in herbivorous turtle ants |
Type |
Journal Article |
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Year |
2021 |
Publication |
Nature Communication |
Abbreviated Journal |
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Volume |
12 |
Issue |
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Pages |
1-6 |
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Across the evolutionary history of insects, the shift from nitrogen-rich carnivore/omnivore diets to nitrogen-poor herbivorous diets was made possible through symbiosis with microbes. The herbivorous turtle ants Cephalotes possess a conserved gut microbiome which enriches the nutrient composition by recycling nitrogen-rich metabolic waste to increase the production of amino acids. This enrichment is assumed to benefit the host, but we do not know to what extent. To gain insights into nitrogen assimilation in the ant cuticle we use gut bacterial manipulation, 15N isotopic enrichment, isotope-ratio mass spectrometry, and 15N nuclear magnetic resonance spectroscopy to demonstrate that gut bacteria contribute to the formation of proteins, catecholamine cross-linkers, and chitin in the cuticle. This study identifies the cuticular components which are nitrogen-enriched by gut bacteria, highlighting the role of symbionts in insect evolution, and provides a framework for understanding the nitrogen flow from nutrients through bacteria into the insect cuticle. |
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NATURE PUBLISHING GROUP |
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Anglais |
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EcoFoG @ webmaster @ |
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1005 |
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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. |
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Title |
Tree mode of death and mortality risk factors across Amazon forests |
Type |
Journal Article |
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Year |
2020 |
Publication |
Nature Communications |
Abbreviated Journal |
Nat. Commun. |
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Volume |
11 |
Issue |
5515 |
Pages |
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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 |
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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). |
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Address |
Tropenbos International, Wageningen, Netherlands |
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Nature Research |
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20411723 (Issn) |
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EcoFoG @ webmaster @ |
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945 |
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