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Talaga, S.; Dejean, A.; Azémar, F.; Dumont, Y.; Leroy, C. |
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Title |
Impacts of biotic and abiotic parameters on immature populations of Aedes aegypti |
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Journal Article |
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2020 |
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Journal of Pest Science |
Abbreviated Journal |
J. Pest Sci. |
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93 |
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3 |
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941-952 |
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Biocontrol agents; Competition; Ecosystem services; Mosquito control; Mosquito management; Predation; abiotic factor; biotic factor; competitive displacement; disease vector; maturation; mosquito; pest control; Aedes aegypti; Hexapoda; Zika virus |
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In recent centuries, the mosquito Aedes aegypti has spread into most urban areas throughout the tropics. This species is considered the main vector of the chikungunya, dengue, yellow fever and Zika viruses and causes major public health issues. The aim of this study is to investigate the relative influence of biotic and abiotic parameters on immature populations of Ae. aegypti. During a one-year-long field experiment, we monitored 108 macroinvertebrate aquatic communities inhabiting four types of water containers across three different urbanized sites in a Neotropical city. A multimodel inference approach revealed that, in addition to abiotic parameters, biotic interactions with aquatic organisms had an important influence on the abundance of Ae. aegypti and that the urbanized site considered influences the outcomes of the interactions. Controphic species other than mosquitoes aided Ae. aegypti development, suggesting a mechanism of facilitation through a chain of processes. However, the abundance of Ae. aegypti was lowered by competition with native mosquito species in the slightly urbanized area and by predation in more urbanized areas. Competitive displacement and reduction, as well as predation by native aquatic organisms, can be considered a form of ecosystem service. The conservation and/or augmentation of natural enemies should improve the short- and long-term success of incompatible and/or sterile insect techniques, thus opening up perspectives for the future of mosquito management. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. |
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University of Pretoria, Department of Mathematics and Applied Mathematics, Pretoria, South Africa |
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EcoFoG @ webmaster @ |
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962 |
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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 |
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Journal Article |
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Year |
2020 |
Publication |
Nature Communications |
Abbreviated Journal |
Nat. Commun. |
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11 |
Issue |
5515 |
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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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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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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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Esquivel-Muelbert, A.; Baker, T.R.; Dexter, K.G.; Lewis, S.L.; Brienen, R.J.W.; Feldpausch, T.R.; Lloyd, J.; Monteagudo-Mendoza, A.; Arroyo, L.; Álvarez-Dávila, E.; Higuchi, N.; Marimon, B.S.; Marimon-Junior, B.H.; Silveira, M.; Vilanova, E.; Gloor, E.; Malhi, Y.; Chave, J.; Barlow, J.; Bonal, D.; Davila Cardozo, N.; Erwin, T.; Fauset, S.; Hérault, B.; Laurance, S.; Poorter, L.; Qie, L.; Stahl, C.; Sullivan, M.J.P.; ter Steege, H.; Vos, V.A.; Zuidema, P.A.; Almeida, E.; Almeida de Oliveira, E.; Andrade, A.; Vieira, S.A.; Aragão, L.; Araujo-Murakami, A.; Arets, E.; Aymard C, G.A.; Baraloto, C.; Camargo, P.B.; Barroso, J.G.; Bongers, F.; Boot, R.; Camargo, J.L.; Castro, W.; Chama Moscoso, V.; Comiskey, J.; Cornejo Valverde, F.; Lola da Costa, A.C.; del Aguila Pasquel, J.; Di Fiore, A.; Fernanda Duque, L.; Elias, F.; Engel, J.; Flores Llampazo, G.; Galbraith, D.; Herrera Fernández, R.; Honorio Coronado, E.; Hubau, W.; Jimenez-Rojas, E.; Lima, A.J.N.; Umetsu, R.K.; Laurance, W.; Lopez-Gonzalez, G.; Lovejoy, T.; Aurelio Melo Cruz, O.; Morandi, P.S.; Neill, D.; Núñez Vargas, P.; Pallqui Camacho, N.C.; Parada Gutierrez, A.; Pardo, G.; Peacock, J.; Peña-Claros, M.; Peñuela-Mora, M.C.; Petronelli, P.; Pickavance, G.C.; Pitman, N.; Prieto, A.; Quesada, C.; Ramírez-Angulo, H.; Réjou-Méchain, M.; Restrepo Correa, Z.; Roopsind, A.; Rudas, A.; Salomão, R.; Silva, N.; Silva Espejo, J.; Singh, J.; Stropp, J.; Terborgh, J.; Thomas, R.; Toledo, M.; Torres-Lezama, A.; Valenzuela Gamarra, L.; van de Meer, P.J.; van der Heijden, G.; van der Hout, P.; Vasquez Martinez, R.; Vela, C.; Vieira, I.C.G.; Phillips, O.L. |
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Title |
Compositional response of Amazon forests to climate change |
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Journal Article |
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Year |
2019 |
Publication |
Global Change Biology |
Abbreviated Journal |
Global Change Biol. |
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25 |
Issue |
1 |
Pages |
39-56 |
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bioclimatic niches; climate change; compositional shifts; functional traits; temporal trends; tropical forests; bioclimatology; climate change; floristics; lowland environment; niche; temporal variation; tropical forest; Amazonia; carbon dioxide; water; biodiversity; Brazil; classification; climate change; ecosystem; forest; physiology; season; tree; tropic climate; Biodiversity; Brazil; Carbon Dioxide; Climate Change; Ecosystem; Forests; Seasons; Trees; Tropical Climate; Water |
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Most of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate-induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long-term inventory plots spanning 30 years. We analyse three traits that have been hypothesized to respond to different environmental drivers (increase in moisture stress and atmospheric CO 2 concentrations): maximum tree size, biogeographic water-deficit affiliation and wood density. Tree communities have become increasingly dominated by large-statured taxa, but to date there has been no detectable change in mean wood density or water deficit affiliation at the community level, despite most forest plots having experienced an intensification of the dry season. However, among newly recruited trees, dry-affiliated genera have become more abundant, while the mortality of wet-affiliated genera has increased in those plots where the dry season has intensified most. Thus, a slow shift to a more dry-affiliated Amazonia is underway, with changes in compositional dynamics (recruits and mortality) consistent with climate-change drivers, but yet to significantly impact whole-community composition. The Amazon observational record suggests that the increase in atmospheric CO 2 is driving a shift within tree communities to large-statured species and that climate changes to date will impact forest composition, but long generation times of tropical trees mean that biodiversity change is lagging behind climate change. |
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Museu Paraense Emílio Goeldi, Pará, Brazil |
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Blackwell Publishing Ltd |
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13541013 (Issn) |
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Cited By :21; Export Date: 6 January 2020; Correspondence Address: Esquivel-Muelbert, A.; School of Geography, University of LeedsUnited Kingdom; email: adriane.esquivel@gmail.com |
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EcoFoG @ webmaster @ |
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905 |
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Franklin, J.; Andrade, R.; Daniels, M.L.; Fairbairn, P.; Fandino, M.C.; Gillespie, T.W.; González, G.; Gonzalez, O.; Imbert, D.; Kapos, V.; Kelly, D.L.; Marcano-Vega, H.; Meléndez-Ackerman, E.J.; McLaren, K.P.; McDonald, M.A.; Ripplinger, J.; Rojas-Sandoval, J.; Ross, M.S.; Ruiz, J.; Steadman, D.W.; Tanner, E.V.J.; Terrill, I.; Vennetier, M. |
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Geographical ecology of dry forest tree communities in the West Indies |
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Journal Article |
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2018 |
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Journal of Biogeography |
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J Biogeogr |
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45 |
Issue |
5 |
Pages |
1168-1181 |
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beta diversity; Caribbean; community composition; seasonally dry tropical forest; species turnover; tropical dry forest; West Indies |
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Abstract Aim Seasonally dry tropical forest (SDTF) of the Caribbean Islands (primarily West Indies) is floristically distinct from Neotropical SDTF in Central and South America. We evaluate whether tree species composition was associated with climatic gradients or geographical distance. Turnover (dissimilarity) in species composition of different islands or among more distant sites would suggest communities structured by speciation and dispersal limitations. A nested pattern would be consistent with a steep resource gradient. Correlation of species composition with climatic variation would suggest communities structured by broad-scale environmental filtering. Location The West Indies (The Bahamas, Cuba, Hispaniola, Jamaica, Puerto Rico, US Virgin Islands, Guadeloupe, Martinique, St. Lucia), Providencia (Colombia), south Florida (USA) and Florida Keys (USA). Taxon Seed plants?woody taxa (primarily trees). Methods We compiled 572 plots from 23 surveys conducted between 1969 and 2016. Hierarchical clustering of species in plots, and indicator species analysis for the resulting groups of sites, identified geographical patterns of turnover in species composition. Nonparametric analysis of variance, applied to principal components of bioclimatic variables, determined the degree of covariation in climate with location. Nestedness versus turnover in species composition was evaluated using beta diversity partitioning. Generalized dissimilarity modelling partitioned the effect of climate versus geographical distance on species composition. Results Despite a set of commonly occurring species, SDTF tree community composition was distinct among islands and was characterized by spatial turnover on climatic gradients that covaried with geographical gradients. Greater Antillean islands were characterized by endemic indicator species. Northern subtropical areas supported distinct, rather than nested, SDTF communities in spite of low levels of endemism. Main conclusions The SDTF species composition was correlated with climatic variation. SDTF on large Greater Antillean islands (Hispaniola, Jamaica and Cuba) was characterized by endemic species, consistent with their geological history and the biogeography of plant lineages. These results suggest that both environmental filtering and speciation shape Caribbean SDTF tree communities. |
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John Wiley & Sons, Ltd (10.1111) |
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doi: 10.1111/jbi.13198 |
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846 |
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Lamarre, G.P.A.; Mendoza, I.; Rougerie, R.; Decaëns, T.; Herault, B.; Bénéluz, F. |
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Stay Out (Almost) All Night: Contrasting Responses in Flight Activity Among Tropical Moth Assemblages |
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Journal Article |
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2015 |
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Neotropical Entomology |
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Neotropical Entomology |
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44 |
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2 |
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109-115 |
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Behavior; diel activity; light trap; monitoring; moth; tropical forest |
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Variations in diel activity among hyperdiverse tropical communities of moths, despite representing a key component of niche partitioning between species, have barely been studied so far. Using light trapping from dawn to sunset over a 1-year period in French Guiana, we investigated these variations within and between two families of moths (Sphingidae and Saturniidae). Our results revealed contrasting patterns in flight activity at night between Sphingidae and Saturniidae. Sphingidae reached their peak in species richness and abundance between 7:00 and 8:00 p.m., followed by a decrease around 11:00 p.m. to midnight, whereas Saturniidae were continuously present throughout the night, with a peak around midnight. In addition, we found changes in diel activity among some of the most common genera in each family, highlighting distinct behavioral, physiological, and functional traits among taxa. Given differences in flight activity at different taxonomic levels, it is strongly recommended to monitor by light trapping throughout the night to effectively sample saturniid and sphingid assemblages, even though the activity of Sphingidae sharply declines after midnight. These results improve the general natural history information of tropical moths and reinforce the need of further research on the ecological and taxonomic consequences of differences in diel activity. © 2015, Sociedade Entomológica do Brasil. |
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Centre d’Ecologie Fonctionnelle et Evolutive, UMR 5175 CNRSMontpellier Cedex 5, France |
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Export Date: 9 April 2015 |
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EcoFoG @ webmaster @ |
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592 |
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Seymour, R.S.; White, C.R.; Gibernau, M. |
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Endothermy of dynastine scarab beetles (Cyclocephala colasi) associated with pollination biology of a thermogenic arum lily (Philodendron solimoesense) |
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Journal Article |
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2009 |
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Journal of Experimental Biology |
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J. Exp. Biol. |
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212 |
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18 |
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2960-2968 |
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beetle; endothermy; pollination biology; Cyclocephala; Philodendron |
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Cyclocephala colasi beetles are facultative endotherms that spend most of their adult lives inside the inflorescences of Philodendron solimoesense, where ambient temperature (T-a) averages about 28 degrees C due to floral thermogenesis. Measurements of respiration within a range of T-a showed that active beetles became spontaneously endothermic at T-a below 28 degrees C but were rarely endothermic above it. There was no evidence of endothermy within the inflorescences, indicating that activities in the floral chamber can occur without the high energy expense of endothermy. Bouts of endothermy occurred at lower T-a in respirometer chambers mainly in the evening, when the insects normally fly from one inflorescence to another, and during the night, when they normally eat and mate within the inflorescence. Patterns of endothermy in individual episodes were studied in non-flying beetles with respirometry and infrared thermal imaging. Heat was generated in the thorax by oscillatory waves of respiration that were coupled with thoracic temperature (T-th) increases. Stationary beetles could regulate T-th at about 33 degrees C independently of T-a between 16 and 29 degrees C. At T-a=20 degrees C, this represents a 116-fold increase in metabolic rate over resting, ectothermic values. Endothermy was clearly a requirement for flight, and beetles departing inflorescences warmed to about 30 degrees C before take-off. During flight, T-th was dependent on T-a, decreasing from 37 to 28 degrees C at T-a of 37 to 20 degrees C, respectively. The lowest T-a at which flight could occur was about 20 degrees C. Thermal conductance of stationary, endothermic beetles increased at higher metabolic rates, probably because of increased ventilatory heat loss. |
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[Seymour, Roger S.] Univ Adelaide, Sch Earth & Environm Sci, Adelaide, SA 5005, Australia, Email: roger.seymour@adelaide.edu.au |
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COMPANY OF BIOLOGISTS LTD |
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0022-0949 |
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ISI:000269383500014 |
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EcoFoG @ eric.marcon @ |
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198 |
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Maia, A.C.D.; Dötterl, S.; Kaiser, R.; Silberbauer-Gottsberger, I.; Teichert, H.; Gibernau, M.; do Amaral Ferraz Navarro, D.M.; Schlindwein, C.; Gottsberger, G. |
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The Key Role of 4-methyl-5-vinylthiazole in the Attraction of Scarab Beetle Pollinators: A Unique Olfactory Floral Signal Shared by Annonaceae and Araceae |
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2012 |
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Journal of Chemical Ecology |
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J. Chem. Ecol. |
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38 |
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9 |
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1072-1080 |
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Beetle pollination; Floral scent; Gas chromatography-mass spectrometry (GC-MS); Olfactory-mediated attraction |
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Cyclocephaline scarabs are specialised scent-driven pollinators, implicated with the reproductive success of several Neotropical plant taxa. Night-blooming flowers pollinated by these beetles are thermogenic and release intense fragrances synchronized to pollinator activity. However, data on floral scent composition within such mutualistic interactions are scarce, and the identity of behaviorally active compounds involved is largely unknown. We performed GC-MS analyses of floral scents of four species of Annona (magnoliids, Annonaceae) and Caladium bicolor (monocots, Araceae), and demonstrated the chemical basis for the attraction of their effective pollinators. 4-Methyl-5-vinylthiazole, a nitrogen and sulphur-containing heterocyclic compound previously unreported in flowers, was found as a prominent constituent in all studied species. Field biotests confirmed that it is highly attractive to both male and female beetles of three species of the genus Cyclocephala, pollinators of the studied plant taxa. The origin of 4-methyl-5-vinylthiazole in plants might be associated with the metabolism of thiamine (vitamin B1), and we hypothesize that the presence of this compound in unrelated lineages of angiosperms is either linked to selective expression of a plesiomorphic biosynthetic pathway or to parallel evolution. © 2012 Springer Science+Business Media, LLC. |
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Departamento de Botânica, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil |
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Export Date: 2 November 2012; Source: Scopus; Coden: Jcecd; doi: 10.1007/s10886-012-0173-z; Language of Original Document: English; Correspondence Address: Maia, A. C. D.; Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife 50740-560, Brazil; email: arturcamposmaia@yahoo.com.br |
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EcoFoG @ webmaster @ |
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444 |
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Mortier, F.; Rossi, V.; Guillot, G.; Gourlet-Fleury, S.; Picard, N. |
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Population dynamics of species-rich ecosystems: The mixture of matrix population models approach |
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Journal Article |
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2013 |
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Methods in Ecology and Evolution |
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Methods Ecol. Evol. |
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4 |
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4 |
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316-326 |
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Bayesian; Clustering; Mixture models; Population dynamics; Reversible jump Markov chain Monte Carlo; Species-rich ecosystems; Tropical rain forests |
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Matrix population models are widely used to predict population dynamics, but when applied to species-rich ecosystems with many rare species, the small population sample sizes hinder a good fit of species-specific models. This issue can be overcome by assigning species to groups to increase the size of the calibration data sets. However, the species classification is often disconnected from the matrix modelling and from the estimation of matrix parameters, thus bringing species groups that may not be optimal with respect to the predicted community dynamics. We proposed here a method that jointly classified species into groups and fit the matrix models in an integrated way. The model was a special case of mixture with unknown number of components and was cast in a Bayesian framework. An MCMC algorithm was developed to infer the unknown parameters: the number of groups, the group of each species and the dynamics parameters. We applied the method to simulated data and showed that the algorithm efficiently recovered the model parameters. We applied the method to a data set from a tropical rain forest in French Guiana. The mixture matrix model classified tree species into well-differentiated groups with clear ecological interpretations. It also accurately predicted the forest dynamics over the 16-year observation period. Our model and algorithm can straightforwardly be adapted to any type of matrix model, using the life cycle diagram. It can be used as an unsupervised classification technique to group species with similar population dynamics. © 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society. |
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Statistics Section IMM, Technical University of Denmark, Copenhagen, Denmark |
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Export Date: 16 April 2013; Source: Scopus; :doi 10.1111/2041-210x.12019; Language of Original Document: English; Correspondence Address: Mortier, F.; CIRAD, UPR Bsef, Montpellier, 34398, France; email: frederic.mortier@cirad.fr |
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EcoFoG @ webmaster @ |
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480 |
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Herault, B.; Bachelot, B.; Poorter, L.; Rossi, V.; Bongers, F.; Chave, J.; Paine, C.E.T.; Wagner, F.; Baraloto, C. |
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Functional traits shape ontogenetic growth trajectories of rain forest tree species |
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2011 |
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Journal of Ecology |
Abbreviated Journal |
J. Ecol. |
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99 |
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6 |
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1431-1440 |
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Bayesian modelling; Functional traits; Growth modelling; Leaf economics; Leaf-height-seed strategy; Plant development and life-history traits; Plant strategy; Stem economics; Tropical rain forest |
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1.Functional traits are posited to explain interspecific differences in performance, but these relationships are difficult to describe for long-lived organisms such as trees, which exhibit strong ontogenetic changes in demographic rates. Here, we use a size-dependent model of tree growth to test the extent to which of 17 functional traits related to leaf and stem economics, adult stature and seed size predict the ontogenetic trajectory of tree growth. 2.We used a Bayesian modelling framework to parameterize and contrast three size-dependent diameter growth models using 16years of census data from 5524 individuals of 50 rain forest tree species: a size-dependent model, a size-dependent model with species-specific parameters and a size-dependent model based on functional traits. 3.Most species showed clear hump-shaped ontogenetic growth trajectories and, across species, maximum growth rate varied nearly tenfold, from 0.58 to 5.51mmyear-1. Most species attained their maximum growth at 60% of their maximum size, whereas the magnitude of ontogenetic changes in growth rate varied widely among species. 4.The Trait-Model provided the best compromise between explained variance and model parsimony and needed considerably fewer parameters than the model with species terms. 5.Stem economics and adult stature largely explained interspecific differences in growth strategy. Maximum absolute diameter growth rates increased with increasing adult stature and leaf δ13C and decreased with increasing wood density. Species with light wood had the greatest potential to modulate their growth, resulting in hump-shaped ontogenetic growth curves. Seed size and leaf economics, generally thought to be of paramount importance for plant performance, had no significant relationships with the growth parameters. 6.Synthesis. Our modelling approach offers a promising way to link demographic parameters to their functional determinants and hence to predict growth trajectories in species-rich communities with little parameter inflation, bridging the gap between functional ecology and population demography. © 2011 The Authors. Journal of Ecology © 2011 British Ecological Society. |
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Department of Biology, University of Florida, Gainesville, FL 32611, United States |
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00220477 (Issn) |
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Export Date: 21 October 2011; Source: Scopus; Coden: Jecoa; doi: 10.1111/j.1365-2745.2011.01883.x; Language of Original Document: English; Correspondence Address: Hérault, B.; Université des Antilles et de la Guyane, UMR Ecologie des Forêts de Guyane, 97387 Kourou Cedex, France; email: bruno.herault@ecofog.gf |
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342 |
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Molto, Q.; Rossi, V.; Blanc, L. |
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Error propagation in biomass estimation in tropical forests |
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2013 |
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Methods in Ecology and Evolution |
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4 |
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2 |
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175-183 |
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Bayesian framework; Modelling; Redd; Uncertainty propagation |
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Reliable above-ground biomass (AGB) estimates are required for studies of carbon fluxes and stocks. However, there is a huge lack of knowledge concerning the precision of AGB estimates and the sources of this uncertainty. At the tree level, the tree height is predicted using the tree diameter at breast height (DBH) and a height sub-model. The wood-specific gravity (WSG) is predicted with taxonomic information and a WSG sub-model. The tree mass is predicted using the predicted height, the predicted WSG and the biomass sub-model. Our models were inferred with Bayesian methods and the uncertainty propagated with a Monte Carlo scheme. The uncertainties in the predictions of tree height, tree WSG and tree mass were neglected sequentially to quantify their contributions to the uncertainty in AGB. The study was conducted in French Guiana where long-term research on forest ecosystems provided an outstanding data collection on tree height, tree dynamics, tree mass and species WSG. We found that the uncertainty in the AGB estimates was found to derive primarily from the biomass sub-model. The models used to predict the tree heights and WSG contributed negligible uncertainty to the final estimate. Considering our results, a poor knowledge of WSG and the height-diameter relationship does not increase the uncertainty in AGB estimates. However, it could lead to bias. Therefore, models and databases should be used with care. This study provides a methodological framework that can be broadly used by foresters and plant ecologist. It provides the accurate confidence intervals associated with forest AGB estimates made from inventory data. When estimating region-scale AGB values (through spatial interpolation, spatial modelling or satellite signal treatment), the uncertainty of the forest AGB value in the reference forest plots has to be taken in account. We believe that in the light of the Reducing Emissions from Deforestation and Degradation debate, our method is a crucial step in monitoring carbon stocks and their spatio-temporal evolution. © 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society. |
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CIRAD, UMR 'Ecologie des Forêts de Guyane', Kourou Cedex, 97 379, France |
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Export Date: 21 February 2013; Source: Scopus |
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470 |
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