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Author | Devault, D.A.; Lévi, Y.; Karolak, S. | ||||
Title | Applying sewage epidemiology approach to estimate illicit drug consumption in a tropical context: Bias related to sewage temperature and pH | Type | Journal Article | ||
Year | 2017 | Publication | Science of the Total Environment | Abbreviated Journal | Science of the Total Environment |
Volume | 584-585 | Issue | Pages | 252-258 | |
Keywords | Cannabis; Degradation; H2s; Half-life; Illicit drugs; Wastewater | ||||
Abstract | Illicit drug consumption can be estimated from drug target residue (DTR) in wastewater, with the reliability of results being partly linked to DTR stability in the sewage network. However, wastewater temperature and pH drive the stability of molecules and, in this context, tropical conditions must be studied to specify the impact of residence time in the sewage network on DTR degradation. Warmth enhances biotic and abiotic processes such as degradation, leading to a decrease in oxygen content, and consequently, early diagenesis conditions in wastewater. In this study, we conduct laboratory studies under acidic pH and high temperature (30 °C) conditions to determine the degradation half-lives of cocaine (COC), tetrahydrocannabinol, and heroine targets, allowing COC/benzoylecgonine (BZE) ratio variations to be predicted in sewage networks. A rapid COC degradation is observed, as already reported in the literature but without a short-term significant difference between 20 °C and 30 °C. Acidic pH seems to prevent degradation. Thus, theoretically, the use of COC as DTR is only reliable in acidic conditions, with the decrease in COC concentration being 6% at 8 h, but over 40% in other conditions. By contrast, the use of BZE as DTR to estimate COC consumption, which is performed in practice, can be undertaken with the same back-calculation equation as used in temperate countries. However, 11-nor-delta-9-carboxytetrahydrocannabinol stability is more influenced by high temperature: concentration levels after 24 h are 20% lower at 30 °C than at 20 °C, corresponding to a 20% and 40% decrease, respectively. Based on a mean residence time of 8 h, underestimated cannabis consumption is close to 15% in tropical contexts, which is double that of temperate areas. © 2017 Elsevier B.V. | ||||
Address | Public Health and Environnement Laboratory, UMR 8079 Ecologie Systématique Evolution, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay, France | ||||
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Notes | Export Date: 8 March 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 741 | ||
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Author | Talaga, S.; Dezerald, O.; Carteron, A.; Leroy, C.; Carrias, J.-F.; Céréghino, R.; Dejean, A. | ||||
Title | Urbanization impacts the taxonomic and functional structure of aquatic macroinvertebrate communities in a small Neotropical city | Type | Journal Article | ||
Year | 2017 | Publication | Urban Ecosystems | Abbreviated Journal | Urban Ecosystems |
Volume | 20 | Issue | 5 | Pages | 1001-1009 |
Keywords | Aedes aegypti; Bioindicator; Diversity; Functional traits; Tank bromeliads; Urban ecology | ||||
Abstract | Due to habitat fragmentation, resource disruption and pollution, urbanization is one of the most destructive forms of anthropization affecting ecosystems worldwide. Generally, human-mediated perturbations dramatically alter species diversity in urban sites compared to the surroundings, thus influencing the functioning of the entire ecosystem. We investigated the taxonomic and functional diversity patterns of the aquatic macroinvertebrate communities in tank bromeliads by comparing those found in a small Neotropical city with those from an adjacent rural site. Changes in the quality of detrital inputs in relation to lower tree diversity and the presence of synanthropic species are likely important driving forces behind the observed structural changes in the urban site. Leaf-litter processors (i.e., shredders, scrapers) were positively affected in the urban site, while filter-feeders that process smaller particles produced by the activity of the shredders were negatively affected. Because we cannot ascertain whether the decline in filter-feeders is related to food web-mediated effects or to competitive exclusion (Aedes aegypti mosquitoes were present in urban bromeliads only), further studies are necessary to account for the effects of intra-guild competition or inter-guild facilitation. © 2017, Springer Science+Business Media New York. | ||||
Address | Ecolab, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France | ||||
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Notes | Cited By :1; Export Date: 18 December 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 776 | ||
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Author | Phillips, O.L.; Brienen, R.J.W.; Gloor, E.; Baker, T.R.; Lloyd, J.; Lopez-Gonzalez, G.; Monteagudo-Mendoza, A.; Malhi, Y.; Lewis, S.L.; Vásquez Martinez, R.; Alexiades, M.; Álvarez Dávila, E.; Alvarez-Loayza, P.; Andrade, A.; Aragão, L.E.O.C.; Araujo-Murakami, A.; Arets, E.J.M.M.; Arroyo, L.; Aymard, G.A.; Bánki, O.S.; Baraloto, C.; Barroso, J.; Bonal, D.; Boot, R.G.A.; Camargo, J.L.C.; Castilho, C.V.; Chama, V.; Chao, K.J.; Chave, J.; Comiskey, J.A.; Valverde, F.C.; da Costa, L.; de Oliveira, E.A.; Di Fiore, A.; Erwin, T.L.; Fauset, S.; Forsthofer, M.; Galbraith, D.R.; Grahame, E.S.; Groot, N.; Herault, B.; Higuchi, N.; Honorio Coronado, E.N.; Keeling, H.; Killeen, T.J.; Laurance, W.F.; Laurance, S.; Licona, J.; Magnusson, W.E.; Marimon, B.S.; Marimon-Junior, B.H.; Mendoza, C.; Neill, D.A.; Nogueira, E.M.; Núñez, P.; Pallqui Camacho, N.C.; Parada, A.; Pardo-Molina, G.; Peacock, J.; Peña-Claros, M.; Pickavance, G.C.; Pitman, N.C.A.; Poorter, L.; Prieto, A.; Quesada, C.A.; Ramírez, F.; Ramírez-Angulo, H.; Restrepo, Z.; Roopsind, A.; Rudas, A.; Salomão, R.P.; Schwarz, M.; Silva, N.; Silva-Espejo, J.E.; Silveira, M.; Stropp, J.; Talbot, J.; ter Steege, H.; Teran-Aguilar, J.; Terborgh, J.; Thomas-Caesar, R.; Toledo, M.; Torello-Raventos, M.; Umetsu, R.; van der Heijden, G.M.F.; van der Hout, P.; Guimarães Vieira, I.C.; Vieira, S.A.; Vilanova, E.; Vos, V.A.; Zagt, R.J.; Alarcon, A.; Amaral, I.; Camargo, P.B.; Brown, I.F.; Blanc, L.; Burban, B.; Cardozo, N.; Engel, J.; de Freitas, M.A.; de Oliveira, A.; Fredericksen, T.S.; Ferreira, L.; Hinojosa, N.T.; Jimenez, E.; Lenza, E.; Mendoza, C.; Mendoza Polo, I.; Peña Cruz, A.; Peñuela, M.C.; Petronelli, P.; Singh, J.; Maquirino, P.; Serano, J.; Sota, A.; Oliveira dos Santos, C.; Ybarnegaray, J.; Ricardo, J. | ||||
Title | Carbon uptake by mature Amazon forests has mitigated Amazon nations' carbon emissions | Type | Journal Article | ||
Year | 2017 | Publication | Carbon Balance and Management | Abbreviated Journal | Carbon Balance and Management |
Volume | 12 | Issue | 1 | Pages | |
Keywords | Amazonia; Carbon balance; Carbon sink; Climate change; Ecosystem service; Land use change; Sequestration; Tropical forests | ||||
Abstract | Background: Several independent lines of evidence suggest that Amazon forests have provided a significant carbon sink service, and also that the Amazon carbon sink in intact, mature forests may now be threatened as a result of different processes. There has however been no work done to quantify non-land-use-change forest carbon fluxes on a national basis within Amazonia, or to place these national fluxes and their possible changes in the context of the major anthropogenic carbon fluxes in the region. Here we present a first attempt to interpret results from ground-based monitoring of mature forest carbon fluxes in a biogeographically, politically, and temporally differentiated way. Specifically, using results from a large long-term network of forest plots, we estimate the Amazon biomass carbon balance over the last three decades for the different regions and nine nations of Amazonia, and evaluate the magnitude and trajectory of these differentiated balances in relation to major national anthropogenic carbon emissions. Results: The sink of carbon into mature forests has been remarkably geographically ubiquitous across Amazonia, being substantial and persistent in each of the five biogeographic regions within Amazonia. Between 1980 and 2010, it has more than mitigated the fossil fuel emissions of every single national economy, except that of Venezuela. For most nations (Bolivia, Colombia, Ecuador, French Guiana, Guyana, Peru, Suriname) the sink has probably additionally mitigated all anthropogenic carbon emissions due to Amazon deforestation and other land use change. While the sink has weakened in some regions since 2000, our analysis suggests that Amazon nations which are able to conserve large areas of natural and semi-natural landscape still contribute globally-significant carbon sequestration. Conclusions: Mature forests across all of Amazonia have contributed significantly to mitigating climate change for decades. Yet Amazon nations have not directly benefited from providing this global scale ecosystem service. We suggest that better monitoring and reporting of the carbon fluxes within mature forests, and understanding the drivers of changes in their balance, must become national, as well as international, priorities. © 2017 The Author(s). | ||||
Address | University of Leeds, School of Geography, Leeds, United Kingdom | ||||
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Notes | Export Date: 20 February 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 735 | ||
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Author | Goulamoussene, Y.; Bedeau, C.; Descroix, L.; Linguet, L.; Herault, B. | ||||
Title | Environmental control of natural gap size distribution in tropical forests | Type | Journal Article | ||
Year | 2017 | Publication | Biogeosciences | Abbreviated Journal | Biogeosciences |
Volume | 14 | Issue | 2 | Pages | 353-364 |
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Abstract | Natural disturbances are the dominant form of forest regeneration and dynamics in unmanaged tropical forests. Monitoring the size distribution of treefall gaps is important to better understand and predict the carbon budget in response to land use and other global changes. In this study, we model the size frequency distribution of natural canopy gaps with a discrete power law distribution. We use a Bayesian framework to introduce and test, using Monte Carlo Markov chain and Kuo-Mallick algorithms, the effect of local physical environment on gap size distribution. We apply our methodological framework to an original light detecting and ranging dataset in which natural forest gaps were delineated over 30 000 ha of unmanaged forest. We highlight strong links between gap size distribution and environment, primarily hydrological conditions and topography, with large gaps being more frequent on floodplains and in wind-exposed areas. In the future, we plan to apply our methodological framework on a larger scale using satellite data. Additionally, although gap size distribution variation is clearly under environmental control, variation in gap size distribution in time should be tested against climate variability. © Author(s) 2017. | ||||
Address | Cirad, UMR EcoFoG, AgroParisTech, CNRS, Inra, Univ Antilles, Univ Guyane, Kourou, French Guiana | ||||
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Notes | Export Date: 7 February 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 729 | ||
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Author | Amusant, N.; Beauchene, J.; Digeon, A.; Chaix, G. | ||||
Title | Essential oil yield in rosewood (Aniba rosaeodora Ducke): Initial application of rapid prediction by near infrared spectroscopy based on wood spectra | Type | Journal Article | ||
Year | 2016 | Publication | Journal of Near Infrared Spectroscopy | Abbreviated Journal | Journal of Near Infrared Spectroscopy |
Volume | 24 | Issue | 6 | Pages | 507-515 |
Keywords | Aniba rosaeodora; Calibration; Essential oil yield; Nir; Pls; Rosewood | ||||
Abstract | Rosewood (Aniba rosaeodora) essential oil is a valuable ingredient that has long been used in the perfume and cosmetic industries. The main rosewood timber quality parameters are its essential oil yield and quality. A hydrodistillation method has been developed for yield determination, but it is time consuming. Here we tested the applicability of near infrared (NIR) spectroscopy for determining essential oil yield directly from wood powder. Essential oil from 139 wood powders was extracted via hydrodistillation. The measurements were based on the ratio between the extracted essential oil mass and the oven-dried wood mass and were correlated with the wood powder NIR spectra. The calibration model statistical findings demonstrated that NIR could be a fast and feasible alternative method for selecting trees with a high essential oil yield potential. NIR-based predictions obtained in an independent validation set indicated a high correlation (r2e = 0.92) with laboratory essential oil yield measurements. This NIR model could help wood managers in selecting trees with a high essential oil yield potential and in developing sustainable rosewood management strategies. © IM Publications LLP 2016. All rights reserved. | ||||
Address | ESALQ-USP, Piracicaba, Brazil | ||||
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Notes | Cited By :1; Export Date: 17 January 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 707 | ||
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Author | Marcon, E.; Puech, F. | ||||
Title | A typology of distance-based measures of spatial concentration | Type | Journal Article | ||
Year | 2017 | Publication | Regional Science and Urban Economics | Abbreviated Journal | Regional Science and Urban Economics |
Volume | 62 | Issue | Pages | 56-67 | |
Keywords | Agglomeration; Aggregation; Economic geography; Point patterns; Spatial concentration | ||||
Abstract | Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework. © 2016 Elsevier B.V. | ||||
Address | RITM, Univ. Paris-Sud, CREST, Université Paris-Saclay, Sceaux, France | ||||
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Notes | Export Date: 17 January 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 704 | ||
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Author | Hudson, L.N.; Newbold, T.; Contu, S.; Hill, S.L.L.; Lysenko, I.; De Palma, A.; Phillips, H.R.P.; Alhusseini, T.I.; Bedford, F.E.; Bennett, D.J.; Booth, H.; Burton, V.J.; Chng, C.W.T.; Choimes, A.; Correia, D.L.P.; Day, J.; Echeverría-Londoño, S.; Emerson, S.R.; Gao, D.; Garon, M.; Harrison, M.L.K.; Ingram, D.J.; Jung, M.; Kemp, V.; Kirkpatrick, L.; Martin, C.D.; Pan, Y.; Pask-Hale, G.D.; Pynegar, E.L.; Robinson, A.N.; Sanchez-Ortiz, K.; Senior, R.A.; Simmons, B.I.; White, H.J.; Zhang, H.; Aben, J.; Abrahamczyk, S.; Adum, G.B.; Aguilar-Barquero, V.; Aizen, M.A.; Albertos, B.; Alcala, E.L.; del Mar Alguacil, M.; Alignier, A.; Ancrenaz, M.; Andersen, A.N.; Arbeláez-Cortés, E.; Armbrecht, I.; Arroyo-Rodríguez, V.; Aumann, T.; Axmacher, J.C.; Azhar, B.; Azpiroz, A.B.; Baeten, L.; Bakayoko, A.; Báldi, A.; Banks, J.E.; Baral, S.K.; Barlow, J.; Barratt, B.I.P.; Barrico, L.; Bartolommei, P.; Barton, D.M.; Basset, Y.; Batáry, P.; Bates, A.J.; Baur, B.; Bayne, E.M.; Beja, P.; Benedick, S.; Berg, Å.; Bernard, H.; Berry, N.J.; Bhatt, D.; Bicknell, J.E.; Bihn, J.H.; Blake, R.J.; Bobo, K.S.; Bóçon, R.; Boekhout, T.; Böhning-Gaese, K.; Bonham, K.J.; Borges, P.A.V.; Borges, S.H.; Boutin, C.; Bouyer, J.; Bragagnolo, C.; Brandt, J.S.; Brearley, F.Q.; Brito, I.; Bros, V.; Brunet, J.; Buczkowski, G.; Buddle, C.M.; Bugter, R.; Buscardo, E.; Buse, J.; Cabra-García, J.; Cáceres, N.C.; Cagle, N.L.; Calviño-Cancela, M.; Cameron, S.A.; Cancello, E.M.; Caparrós, R.; Cardoso, P.; Carpenter, D.; Carrijo, T.F.; Carvalho, A.L.; Cassano, C.R.; Castro, H.; Castro-Luna, A.A.; Rolando, C.B.; Cerezo, A.; Chapman, K.A.; Chauvat, M.; Christensen, M.; Clarke, F.M.; Cleary, D.F.R.; Colombo, G.; Connop, S.P.; Craig, M.D.; Cruz-López, L.; Cunningham, S.A.; D'Aniello, B.; D'Cruze, N.; da Silva, P.G.; Dallimer, M.; Danquah, E.; Darvill, B.; Dauber, J.; Davis, A.L.V.; Dawson, J.; de Sassi, C.; de Thoisy, B.; Deheuvels, O.; Dejean, A.; Devineau, J.-L.; Diekötter, T.; Dolia, J.V.; Domínguez, E.; Dominguez-Haydar, Y.; Dorn, S.; Draper, I.; Dreber, N.; Dumont, B.; Dures, S.G.; Dynesius, M.; Edenius, L.; Eggleton, P.; Eigenbrod, F.; Elek, Z.; Entling, M.H.; Esler, K.J.; de Lima, R.F.; Faruk, A.; Farwig, N.; Fayle, T.M.; Felicioli, A.; Felton, A.M.; Fensham, R.J.; Fernandez, I.C.; Ferreira, C.C.; Ficetola, G.F.; Fiera, C.; Filgueiras, B.K.C.; Fırıncıoğlu, H.K.; Flaspohler, D.; Floren, A.; Fonte, S.J.; Fournier, A.; Fowler, R.E.; Franzén, M.; Fraser, L.H.; Fredriksson, G.M.; Freire, G.B., Jr.; Frizzo, T.L.M.; Fukuda, D.; Furlani, D.; Gaigher, R.; Ganzhorn, J.U.; García, K.P.; Garcia-R, J.C.; Garden, J.G.; Garilleti, R.; Ge, B.-M.; Gendreau-Berthiaume, B.; Gerard, P.J.; Gheler-Costa, C.; Gilbert, B.; Giordani, P.; Giordano, S.; Golodets, C.; Gomes, L.G.L.; Gould, R.K.; Goulson, D.; Gove, A.D.; Granjon, L.; Grass, I.; Gray, C.L.; Grogan, J.; Gu, W.; Guardiola, M.; Gunawardene, N.R.; Gutierrez, A.G.; Gutiérrez-Lamus, D.L.; Haarmeyer, D.H.; Hanley, M.E.; Hanson, T.; Hashim, N.R.; Hassan, S.N.; Hatfield, R.G.; Hawes, J.E.; Hayward, M.W.; Hébert, C.; Helden, A.J.; Henden, J.-A.; Henschel, P.; Hernández, L.; Herrera, J.P.; Herrmann, F.; Herzog, F.; Higuera-Diaz, D.; Hilje, B.; Höfer, H.; Hoffmann, A.; Horgan, F.G.; Hornung, E.; Horváth, R.; Hylander, K.; Isaacs-Cubides, P.; Ishida, H.; Ishitani, M.; Jacobs, C.T.; Jaramillo, V.J.; Jauker, B.; Hernández, F.J.; Johnson, M.F.; Jolli, V.; Jonsell, M.; Juliani, S.N.; Jung, T.S.; Kapoor, V.; Kappes, H.; Kati, V.; Katovai, E.; Kellner, K.; Kessler, M.; Kirby, K.R.; Kittle, A.M.; Knight, M.E.; Knop, E.; Kohler, F.; Koivula, M.; Kolb, A.; Kone, M.; Kőrösi, Á.; Krauss, J.; Kumar, A.; Kumar, R.; Kurz, D.J.; Kutt, A.S.; Lachat, T.; Lantschner, V.; Lara, F.; Lasky, J.R.; Latta, S.C.; Laurance, W.F.; Lavelle, P.; Le Féon, V.; LeBuhn, G.; Légaré, J.-P.; Lehouck, V.; Lencinas, M.V.; Lentini, P.E.; Letcher, S.G.; Li, Q.; Litchwark, S.A.; Littlewood, N.A.; Liu, Y.; Lo-Man-Hung, N.; López-Quintero, C.A.; Louhaichi, M.; Lövei, G.L.; Lucas-Borja, M.E.; Luja, V.H.; Luskin, M.S.; MacSwiney G, M.C.; Maeto, K.; Magura, T.; Mallari, N.A.; Malone, L.A.; Malonza, P.K.; Malumbres-Olarte, J.; Mandujano, S.; Måren, I.E.; Marin-Spiotta, E.; Marsh, C.J.; Marshall, E.J.P.; Martínez, E.; Martínez Pastur, G.; Moreno Mateos, D.; Mayfield, M.M.; Mazimpaka, V.; McCarthy, J.L.; McCarthy, K.P.; McFrederick, Q.S.; McNamara, S.; Medina, N.G.; Medina, R.; Mena, J.L.; Mico, E.; Mikusinski, G.; Milder, J.C.; Miller, J.R.; Miranda-Esquivel, D.R.; Moir, M.L.; Morales, C.L.; Muchane, M.N.; Muchane, M.; Mudri-Stojnic, S.; Munira, A.N.; Muoñz-Alonso, A.; Munyekenye, B.F.; Naidoo, R.; Naithani, A.; Nakagawa, M.; Nakamura, A.; Nakashima, Y.; Naoe, S.; Nates-Parra, G.; Navarrete Gutierrez, D.A.; Navarro-Iriarte, L.; Ndang'ang'a, P.K.; Neuschulz, E.L.; Ngai, J.T.; Nicolas, V.; Nilsson, S.G.; Noreika, N.; Norfolk, O.; Noriega, J.A.; Norton, D.A.; Nöske, N.M.; Nowakowski, A.J.; Numa, C.; O'Dea, N.; O'Farrell, P.J.; Oduro, W.; Oertli, S.; Ofori-Boateng, C.; Oke, C.O.; Oostra, V.; Osgathorpe, L.M.; Otavo, S.E.; Page, N.V.; Paritsis, J.; Parra-H, A.; Parry, L.; Pe'er, G.; Pearman, P.B.; Pelegrin, N.; Pélissier, R.; Peres, C.A.; Peri, P.L.; Persson, A.S.; Petanidou, T.; Peters, M.K.; Pethiyagoda, R.S.; Phalan, B.; Philips, T.K.; Pillsbury, F.C.; Pincheira-Ulbrich, J.; Pineda, E.; Pino, J.; Pizarro-Araya, J.; Plumptre, A.J.; Poggio, S.L.; Politi, N.; Pons, P.; Poveda, K.; Power, E.F.; Presley, S.J.; Proença, V.; Quaranta, M.; Quintero, C.; Rader, R.; Ramesh, B.R.; Ramirez-Pinilla, M.P.; Ranganathan, J.; Rasmussen, C.; Redpath-Downing, N.A.; Reid, J.L.; Reis, Y.T.; Rey Benayas, J.M.; Rey-Velasco, J.C.; Reynolds, C.; Ribeiro, D.B.; Richards, M.H.; Richardson, B.A.; Richardson, M.J.; Ríos, R.M.; Robinson, R.; Robles, C.A.; Römbke, J.; Romero-Duque, L.P.; Rös, M.; Rosselli, L.; Rossiter, S.J.; Roth, D.S.; Roulston, T.H.; Rousseau, L.; Rubio, A.V.; Ruel, J.-C.; Sadler, J.P.; Sáfián, S.; Saldaña-Vázquez, R.A.; Sam, K.; Samnegård, U.; Santana, J.; Santos, X.; Savage, J.; Schellhorn, N.A.; Schilthuizen, M.; Schmiedel, U.; Schmitt, C.B.; Schon, N.L.; Schüepp, C.; Schumann, K.; Schweiger, O.; Scott, D.M.; Scott, K.A.; Sedlock, J.L.; Seefeldt, S.S.; Shahabuddin, G.; Shannon, G.; Sheil, D.; Sheldon, F.H.; Shochat, E.; Siebert, S.J.; Silva, F.A.B.; Simonetti, J.A.; Slade, E.M.; Smith, J.; Smith-Pardo, A.H.; Sodhi, N.S.; Somarriba, E.J.; Sosa, R.A.; Soto Quiroga, G.; St-Laurent, M.-H.; Starzomski, B.M.; Stefanescu, C.; Steffan-Dewenter, I.; Stouffer, P.C.; Stout, J.C.; Strauch, A.M.; Struebig, M.J.; Su, Z.; Suarez-Rubio, M.; Sugiura, S.; Summerville, K.S.; Sung, Y.-H.; Sutrisno, H.; Svenning, J.-C.; Teder, T.; Threlfall, C.G.; Tiitsaar, A.; Todd, J.H.; Tonietto, R.K.; Torre, I.; Tóthmérész, B.; Tscharntke, T.; Turner, E.C.; Tylianakis, J.M.; Uehara-Prado, M.; Urbina-Cardona, N.; Vallan, D.; Vanbergen, A.J.; Vasconcelos, H.L.; Vassilev, K.; Verboven, H.A.F.; Verdasca, M.J.; Verdú, J.R.; Vergara, C.H.; Vergara, P.M.; Verhulst, J.; Virgilio, M.; Vu, L.V.; Waite, E.M.; Walker, T.R.; Wang, H.-F.; Wang, Y.; Watling, J.I.; Weller, B.; Wells, K.; Westphal, C.; Wiafe, E.D.; Williams, C.D.; Willig, M.R.; Woinarski, J.C.Z.; Wolf, J.H.D.; Wolters, V.; Woodcock, B.A.; Wu, J.; Wunderle, J.M., Jr.; Yamaura, Y.; Yoshikura, S.; Yu, D.W.; Zaitsev, A.S.; Zeidler, J.; Zou, F.; Collen, B.; Ewers, R.M.; Mace, G.M.; Purves, D.W.; Scharlemann, J.P.W.; Purvis, A. | ||||
Title | The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project | Type | Journal Article | ||
Year | 2017 | Publication | Ecology and Evolution | Abbreviated Journal | Ecology and Evolution |
Volume | 7 | Issue | 1 | Pages | 145-188 |
Keywords | data sharing; global biodiversity modeling; global change; habitat destruction; land use | ||||
Abstract | The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity. © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. | ||||
Address | Computational Ecology and Environmental Science, Microsoft Research, Cambridge, United Kingdom | ||||
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Notes | Export Date: 17 January 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 705 | ||
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Author | De Souza, F.C.; Dexter, K.G.; Phillips, O.L.; Brienen, R.J.W.; Chave, J.; Galbraith, D.R.; Gonzalez, G.L.; Mendoza, A.M.; Toby Pennington, R.; Poorter, L.; Alexiades, M.; Álvarez-Dávila, E.; Andrade, A.; Aragão, L.E.O.C.; Araujo-Murakami, A.; Arets, E.J.M.M.; Aymard C., G.A.; Baraloto, C.; Barroso, J.G.; Bonal, D.; Boot, R.G.A.; Camargo, J.L.C.; Comiskey, J.A.; Valverde, F.C.; De Camargo, P.B.; Di Fiore, A.; Elias, F.; Erwin, T.L.; Feldpausch, T.R.; Ferreira, L.; Fyllas, N.M.; Gloor, E.; Herault, B.; Herrera, R.; Higuchi, N.; Coronado, E.N.H.; Killeen, T.J.; Laurance, W.F.; Laurance, S.; Lloyd, J.; Lovejoy, T.E.; Malhi, Y.; Maracahipes, L.; Marimon, B.S.; Marimon-Junior, B.H.; Mendoza, C.; Morandi, P.; Neill, D.A.; Vargas, P.N.; Oliveira, E.A.; Lenza, E.; Palacios, W.A.; Peñuela-Mora, M.C.; Pipoly, J.J., III; Pitman, N.C.A.; Prieto, A.; Quesada, C.A.; Ramirez-Angulo, H.; Rudas, A.; Ruokolainen, K.; Salomão, R.P.; Silveira, M.; Stropp, J.; Steege, H.T.; Thomas-Caesar, R.; Van Der Hout, P.; Van Der Heijden, G.M.F.; Van Der Meer, P.J.; Vasquez, R.V.; Vieira, S.A.; Vilanova, E.; Vos, V.A.; Wang, O.; Young, K.R.; Zagt, R.J.; Baker, T.R. | ||||
Title | Evolutionary heritage influences amazon tree ecology | Type | Journal Article | ||
Year | 2016 | Publication | Proceedings of the Royal Society B: Biological Sciences | Abbreviated Journal | Proceedings of the Royal Society B: Biological Sciences |
Volume | 283 | Issue | 20161587 | Pages | |
Keywords | Convergent evolution; Divergent selection; Phylogenetic signal; Trait; Tropical tree | ||||
Abstract | Lineages tend to retain ecological characteristics of their ancestors through time. However, for some traits, selection during evolutionary history may have also played a role in determining trait values. To address the relative importance of these processes requires large-scale quantification of traits and evolutionary relationships among species. The Amazonian tree flora comprises a high diversity of angiosperm lineages and species with widely differing life-history characteristics, providing an excellent system to investigate the combined influences of evolutionary heritage and selection in determining trait variation. We used trait data related to the major axes of life-history variation among tropical trees (e.g. growth and mortality rates) from 577 inventory plots in closed-canopy forest, mapped onto a phylogenetic hypothesis spanning more than 300 genera including all major angiosperm clades to test for evolutionary constraints on traits. We found significant phylogenetic signal (PS) for all traits, consistent with evolutionarily related genera having more similar characteristics than expected by chance. Although there is also evidence for repeated evolution of pioneer and shade tolerant lifehistory strategies within independent lineages, the existence of significant PS allows clearer predictions of the links between evolutionary diversity, ecosystem function and the response of tropical forests to global change. © 2016 The Authors. | ||||
Address | Department of Geography and the Environment, University of Texas at Austin, Austin, TX, United States | ||||
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Notes | Export Date: 17 January 2017 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 706 | ||
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Author | Alméras, T.; Gronvold, A.; van der Lee, A.; Clair, B.; Montero, C. | ||||
Title | Contribution of cellulose to the moisture-dependent elastic behaviour of wood | Type | Journal Article | ||
Year | 2017 | Publication | Composites Science and Technology | Abbreviated Journal | Composites Science and Technology |
Volume | 138 | Issue | Pages | 151-160 | |
Keywords | Cellulose; Crystal strain; Micromechanics; Wood; X-ray diffraction | ||||
Abstract | Wood has a hierarchical structure involving several levels of organisation. The stiffness of wood relies on its capacity to transfer mechanical stress to its stiffest element at the lowest scale, namely crystalline cellulose. This study aims at quantifying to what extend crystalline cellulose contributes to wood stiffness depending on its moisture content. The crystal strains of cellulose were measured using X-ray diffraction on wet and dry specimens of spruce, based on a previously published methodology. The comparison between crystal strain and macroscopic strain shows that, during elastic loading, cellulose strain is lower than macroscopic strain. The means ratio of crystal/macroscopic strain amounts 0.85 for dry specimens and 0.64 for wet specimens. This strain ratio cannot be explained just by the projection effect due to the difference in orientation between cellulose microfibrils and cell wall, but results from deformation mechanisms in series with cellulose. Analysis shows that this series contribution represents a non-negligible contribution to wood compliance and is strongly moisture-dependent. This contribution amounts 9% for dry specimens and 33% for wet specimens, corresponding to a 4-fold increase in compliance for the series contribution. The origin of these strains is ascribed to mechanisms involving bending or shear strain at different scales, due to the fact that reinforcing element are neither perfectly straight nor infinitely long. © 2016 | ||||
Address | CNRS, UMR Ecologie des Forêts de Guyane (EcoFoG), AgroParisTech, Cirad, INRA, Université des Antilles, Université de Guyane, Kourou, France | ||||
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Notes | Export Date: 26 December 2016 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 701 | ||
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Author | Fayad, I.; Baghdadi, N.; Guitet, S.; Bailly, J.-S.; Herault, B.; Gond, V.; El Hajj, M.; Tong Minh, D.H. | ||||
Title | Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data | Type | Journal Article | ||
Year | 2016 | Publication | International Journal of Applied Earth Observation and Geoinformation | Abbreviated Journal | International Journal of Applied Earth Observation and Geoinformation |
Volume | 52 | Issue | Pages | 502-514 | |
Keywords | Aboveground biomass mapping; Forests; French Guiana; ICESat GLAS; LiDAR | ||||
Abstract | Mapping forest aboveground biomass (AGB) has become an important task, particularly for the reporting of carbon stocks and changes. AGB can be mapped using synthetic aperture radar data (SAR) or passive optical data. However, these data are insensitive to high AGB levels (>150 Mg/ha, and >300 Mg/ha for P-band), which are commonly found in tropical forests. Studies have mapped the rough variations in AGB by combining optical and environmental data at regional and global scales. Nevertheless, these maps cannot represent local variations in AGB in tropical forests. In this paper, we hypothesize that the problem of misrepresenting local variations in AGB and AGB estimation with good precision occurs because of both methodological limits (signal saturation or dilution bias) and a lack of adequate calibration data in this range of AGB values. We test this hypothesis by developing a calibrated regression model to predict variations in high AGB values (mean >300 Mg/ha) in French Guiana by a methodological approach for spatial extrapolation with data from the optical geoscience laser altimeter system (GLAS), forest inventories, radar, optics, and environmental variables for spatial inter- and extrapolation. Given their higher point count, GLAS data allow a wider coverage of AGB values. We find that the metrics from GLAS footprints are correlated with field AGB estimations (R2 = 0.54, RMSE = 48.3 Mg/ha) with no bias for high values. First, predictive models, including remote-sensing, environmental variables and spatial correlation functions, allow us to obtain “wall-to-wall” AGB maps over French Guiana with an RMSE for the in situ AGB estimates of ∼50 Mg/ha and R2 = 0.66 at a 1-km grid size. We conclude that a calibrated regression model based on GLAS with dependent environmental data can produce good AGB predictions even for high AGB values if the calibration data fit the AGB range. We also demonstrate that small temporal and spatial mismatches between field data and GLAS footprints are not a problem for regional and global calibrated regression models because field data aim to predict large and deep tendencies in AGB variations from environmental gradients and do not aim to represent high but stochastic and temporally limited variations from forest dynamics. Thus, we advocate including a greater variety of data, even if less precise and shifted, to better represent high AGB values in global models and to improve the fitting of these models for high values. © 2016 Elsevier B.V. | ||||
Address | NOVELTIS, 153 rue du Lac, Labège, France | ||||
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Notes | Export Date: 9 December 2016 | Approved | no | ||
Call Number | EcoFoG @ webmaster @ | Serial | 699 | ||
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