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Young, E.F.; Belchier, M.; Hauser, L.; Horsburgh, G.J.; Meredith, M.P.; Murphy, E.J.; Pascoal, S.; Rock, J.; Tysklind, N.; Carvalho, G.R. |
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Title |
Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species |
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Journal Article |
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2015 |
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Evolutionary Applications |
Abbreviated Journal |
Evolutionary Applications |
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8 |
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5 |
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486-509 |
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Notothenia rossii; Champsocephalus gunnari; Connectivity; Individual-based Modelling; Ocean circulation; Planktonic dispersal; Population genetics; Scotia Sea |
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Understanding the key drivers of population connectivity in the marine environment is essential for the effective management of natural resources. Although several different approaches to evaluating connectivity have been used, they are rarely integrated quantitatively. Here, we use a 'seascape genetics' approach, by combining oceanographic modelling and microsatellite analyses, to understand the dominant influences on the population genetic structure of two Antarctic fishes with contrasting life histories, Champsocephalus gunnari and Notothenia rossii. The close accord between the model projections and empirical genetic structure demonstrated that passive dispersal during the planktonic early life stages is the dominant influence on patterns and extent of genetic structuring in both species. The shorter planktonic phase of C. gunnari restricts direct transport of larvae between distant populations, leading to stronger regional differentiation. By contrast, geographic distance did not affect differentiation in N. rossii, whose longer larval period promotes long-distance dispersal. Interannual variability in oceanographic flows strongly influenced the projected genetic structure, suggesting that shifts in circulation patterns due to climate change are likely to impact future genetic connectivity and opportunities for local adaptation, resilience and recovery from perturbations. Further development of realistic climate models is required to fully assess such potential impacts. © 2015 The Authors. |
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Campus Agronomique, Kourou Cedex, France |
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Export Date: 28 May 2015 |
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EcoFoG @ webmaster @ |
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604 |
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Touchard, A.; Aili, S.R.; Fox, E.G.P.; Escoubas, P.; Orivel, J.; Nicholson, G.M.; Dejean, A. |
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The biochemical toxin arsenal from ant venoms |
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Journal Article |
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2016 |
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Toxins |
Abbreviated Journal |
Toxins |
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8 |
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1 |
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30 |
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Alkaloids; Ant venom; Enzymes; Formic acid; Peptides; Toxins; Venom biochemistry |
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Ants (Formicidae) represent a taxonomically diverse group of hymenopterans with over 13,000 extant species, the majority of which inject or spray secretions from a venom gland. The evolutionary success of ants is mostly due to their unique eusociality that has permitted them to develop complex collaborative strategies, partly involving their venom secretions, to defend their nest against predators, microbial pathogens, ant competitors, and to hunt prey. Activities of ant venom include paralytic, cytolytic, haemolytic, allergenic, pro-inflammatory, insecticidal, antimicrobial, and pain-producing pharmacologic activities, while non-toxic functions include roles in chemical communication involving trail and sex pheromones, deterrents, and aggregators. While these diverse activities in ant venoms have until now been largely understudied due to the small venom yield from ants, modern analytical and venomic techniques are beginning to reveal the diversity of toxin structure and function. As such, ant venoms are distinct from other venomous animals, not only rich in linear, dimeric and disulfide-bonded peptides and bioactive proteins, but also other volatile and non-volatile compounds such as alkaloids and hydrocarbons. The present review details the unique structures and pharmacologies of known ant venom proteinaceous and alkaloidal toxins and their potential as a source of novel bioinsecticides and therapeutic agents. © 2016 by the authors; licensee MDPI, Basel, Switzerland. |
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Laboratoire Écologie Fonctionnelle et Environnement, 118 Route de Narbonne, Toulouse, France |
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Export Date: 8 February 2016 |
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EcoFoG @ webmaster @ |
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656 |
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Fayad, I.; Baghdadi, N.; Bailly, J.-S.; Barbier, N.; Gond, V.; Herault, B.; El Hajj, M.; Fabre, F.; Perrin, J. |
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Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne LiDAR data: Application on French Guiana |
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Journal Article |
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2016 |
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Remote Sensing |
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Remote Sensing |
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8 |
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3 |
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240 |
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Airborne LiDAR; Canopy height mapping; Forests; French Guiana; ICESat GLAS |
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LiDAR data has been successfully used to estimate forest parameters such as canopy heights and biomass. Major limitation of LiDAR systems (airborne and spaceborne) arises from their limited spatial coverage. In this study, we present a technique for canopy height mapping using airborne and spaceborne LiDAR data (from the Geoscience Laser Altimeter System (GLAS)). First, canopy heights extracted from both airborne and spaceborne LiDAR were extrapolated from available environmental data. The estimated canopy height maps using Random Forest (RF) regression from airborne or GLAS calibration datasets showed similar precisions (~6 m). To improve the precision of canopy height estimates, regression-kriging was used. Results indicated an improvement in terms of root mean square error (RMSE, from 6.5 to 4.2 m) using the GLAS dataset, and from 5.8 to 1.8 m using the airborne LiDAR dataset. Finally, in order to investigate the impact of the spatial sampling of future LiDAR missions on canopy height estimates precision, six subsets were derived from the initial airborne LiDAR dataset. Results indicated that using the regression-kriging approach a precision of 1.8 m on the canopy height map was achievable with a flight line spacing of 5 km. This precision decreased to 4.8 m for flight line spacing of 50 km. © 2016 by the authors. |
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BRGM, 3 Avenue Claude Guillemin, Orléans, France |
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Export Date: 22 April 2016 |
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EcoFoG @ webmaster @ |
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675 |
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Lehours, A.-C.; Jeune, A.-H.L.; Aguer, J.-P.; Céréghino, R.; Corbara, B.; Kéraval, B.; Leroy, C.; Perrière, F.; Jeanthon, C.; Carrias, J.-F. |
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Unexpectedly high bacteriochlorophyll a concentrations in neotropical tank bromeliads |
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Journal Article |
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2016 |
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Environmental Microbiology Reports |
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Environmental Microbiology Reports |
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8 |
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5 |
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689-698 |
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The contribution of bacteriochlorophyll a (BChl a) to photosynthetically driven electron transport is generally low in aquatic and terrestrial systems. Here, we provide evidence that anoxygenic bacterial phototrophy is widespread and substantial in water retained by tank bromeliads of a primary rainforest in French Guiana. An analysis of the water extracted from 104 randomly selected tank bromeliads using infrared fluorimetry suggested the overall presence of abundant anoxygenic phototrophic bacterial populations. We found that purple bacteria dominated these populations responsible for unusually high BChl a/chlorophyll a ratios (>50%). Our data suggest that BChl a-based phototrophy in tank bromeliads can have significant effects on the ecology of tank-bromeliad ecosystems and on the carbon and energy fluxes in Neotropical forests. |
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1758-2229 |
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EcoFoG @ webmaster @ |
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709 |
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Goulamoussene, Youven; Bedeau, Caroline; Descroix, Laurent; Deblauwe, Vincent; Linguet, Laurent; Herault, Bruno |
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Title |
Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield Remote Sensing |
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Journal Article |
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2016 |
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Remote Sensing |
Abbreviated Journal |
Remote Sens |
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8 |
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9 |
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747 |
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Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the implication for tropical forest height variation mapping. Making use of high-resolution maps of LiDAR-derived Digital Canopy Model (DCM) and environmental covariates from a Digital Elevation Model (DEM) acquired over 30,000 ha of tropical forest in French Guiana, we first show that forest canopy height is spatially correlated up to 2500 m. Forest canopy height is significantly associated with environmental variables, but the degree of correlation varies strongly with pixel resolution. On the whole, bottomland forests generally have lower canopy heights than hillslope or hilltop forests. However, this global picture is very noisy at local scale likely because of the endogenous gap-phase forest dynamic processes. Forest canopy height has been predictively mapped across a pixel resolution going from 6 m to 384 m mimicking a low resolution case of 3 points·km − 2 . Results of canopy height mapping indicated that the error for spatial model with environment effects decrease from 8.7 m to 0.91 m, depending of the pixel resolution. Results suggest that, outside the calibration plots, the contribution of environment in shaping the global canopy height distribution is quite limited. This prevents accurate canopy height mapping based only on environmental information, and suggests that precise canopy height maps, for local management purposes, can only be obtained with direct LiDAR monitoring. |
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EcoFoG @ webmaster @ |
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724 |
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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 |
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Scientific Reports |
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Sci. Rep. |
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8 |
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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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2045-2322 |
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EcoFoG @ webmaster @ Gomes2018 |
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789 |
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Guitet, S.; Sabatier, D.; Brunaux, O.; Couteron, P.; Denis, T.; Freycon, V.; Gonzalez, S.; Hérault, B.; Jaouen, G.; Molino, J.-F.; Pélissier, R.; Richard-Hansen, C.; Vincent, G. |
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Title |
Disturbance Regimes Drive the Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes |
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Journal Article |
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2018 |
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Scientific Reports |
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Sci. Rep. |
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8 |
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3872 |
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Disturbances control rainforest dynamics, and, according to the intermediate disturbance hypothesis (IDH), disturbance regime is a key driver of local diversity. Variations in disturbance regimes and their consequences on regional diversity at broad spatiotemporal scales are still poorly understood. Using multidisciplinary large-scale inventories and LiDAR acquisitions, we developed a robust indicator of disturbance regimes based on the frequency of a few early successional and widely distributed pioneer species. We demonstrate at the landscape scale that tree-species diversity and disturbance regimes vary with climate and relief. Significant relationships between the disturbance indicator, tree-species diversity and soil phosphorus content agree with the hypothesis that rainforest diversity is controlled both by disturbance regimes and long-term ecosystem stability. These effects explain the broad-scale patterns of floristic diversity observed between landscapes. In fact, species-rich forests in highlands, which have benefited from long-term stability combined with a moderate and regular regime of local disturbances, contrast with less diversified forests on recently shaped lowlands, which have undergone more recent changes and irregular dynamics. These results suggest that taking the current disturbance regime into account and including geomorphological stratifications in climate-vegetation models may be an effective way to improve the prediction of changes in species diversity under climate change. © 2018 The Author(s). |
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AgroParisTech, EcoFoG, Kourou, French Guiana |
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Export Date: 21 March 2018 |
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EcoFoG @ webmaster @ |
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798 |
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Dejean, A.; Djieto-Lordon, C.; Cereghino, R.; Leponce, M. |
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Ontogenetic succession and the ant mosaic: An empirical approach using pioneer trees |
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2008 |
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Basic and Applied Ecology |
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Basic Appl. Ecol. |
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9 |
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3 |
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316-323 |
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ant-plant relationships; dynamics of associations; myrmecophytes; species turnover; tropical rainforests |
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Arboreal ant mosaics have been intensively investigated, but what generates these mosaics remains poorly understood. In this paper, we hypothesize that the dynamics of arboreal ant mosaics could be better understood by examining the ontogenetic succession of ants in tropical trees. We used three African pioneer tree species as biological models. Lophira alata (Ochnaceae) is a long-lived species that does not furnish any reward (i.e., extra-floral nectaries [EFNs], shelter) to ants, Anthocleista vogelii (Gentianaceae) bears extremely well-developed EFNs, and Barteria fistulosa (Passifloraceae) is a long-lived myrmecophyte providing both EFNs and domatia. For both L. alata and A. vogelii, we noted a succession of different associated ants as the plants grew and aged. Ground-nesting, arborealforaging ant species were the first associates, followed by arboreal species that build nests with the leaves of their host trees, together with some species nesting opportunistically in pre-existing cavities. Carton-building Crematogaster species were the last in this succession. The presence of EFNs on A. vogelii slows species turnover, demonstrating that the plant exerts some control over its ant associates. The comparison with B. fistulosa, which generally remains associated with the same plant-ant species during its entire ontogeny, highlights the importance of the selective attractiveness of the trees for their associated ants – or, perhaps, the existence of plant filters that screen arriving ants. (C) 2007 Gesellschaft fur Okologie. Published by Elsevier GmbH. All rights reserved. |
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[Dejean, Alain] CNRS Guyane, UPS 2561, F-97300 Cayenne, France, Email: alain.dejean@wanadoo.fr |
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ELSEVIER GMBH, URBAN & FISCHER VERLAG |
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1439-1791 |
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ISI:000256734600013 |
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EcoFoG @ eric.marcon @ |
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138 |
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Herault, B. |
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Reconciling niche and neutrality through the Emergent Group approach |
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Journal Article |
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2007 |
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Perspectives in Plant Ecology Evolution and Systematics |
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Perspect. Plant Ecol. Evol. Syst. |
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9 |
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2 |
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71-78 |
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Biodiversity; ecological equivalency; biological traits; neutral theory; niche differentiation; redundancy |
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Both niche and neutral theories have been suggested as potential frameworks for modelling biodiversity. Niche models assume that biological traits represent evolutionary adaptations and define individuals in terms of functional trade-offs. Neutral models assume that all individuals at a single trophic level are functionally equivalent on a per capita basis with respect to their birth, death, dispersal and speciation. The opinion of many researchers is that neutral and niche processes operate simultaneously to generate diversity without knowing how the unification of both models can be achieved. Recently, several theoretical papers have reported evidence on the evolutionary emergence of niche structures shaping the emergence of groups of similar species. In this way, an Emergent Group is defined as a set of species that have a similar functional niche owing to a convergent ecological strategy. Central to the Emergent Group concept are the assumptions of functional equivalence within and of functional divergence between Emergent Groups. Within an Emergent Group, species richness is subject to a zero-sum rule set by the balance between the rate of individual loss and of immigration. Between Emergent Groups, tradeoffs such as seed size/seedling competitivity, investment in reproductive system/investment in vegetative systems or competitive ability/predator invulnerability are cornerstones of the evolutionary divergence. Delineating Emergent Groups amounts to reaching a compromise between maximizing niche differentiation (i.e. maximizing differences in functional tradeoffs) between Emergent Groups and maximizing neutrality within Emergent Groups. Up to now, the Emergent Group concept has been mostly proposed by theoretical scientists but it should be tested by empirical ecologists. The way in which niche and neutral models could be combined provides a profitable opportunity for theoretical and empirical scientists to collaborate fruitfully. (c) 2007 Rubel Foundation, ETH Zurich. Published by Elsevier GmbH. All rights reserved. |
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[Herault, Bruno] Univ Antilles Guyane, UMR Ecol Forets Guyane, F-97379 Kourou, France, Email: Bruno.Herault@cirad.fr |
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ELSEVIER GMBH, URBAN & FISCHER VERLAG |
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ISI:000251685100002 |
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Marcon, E.; Scotti, I.; Herault, B.; Rossi, V.; Lang, G. |
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Generalization of the partitioning of Shannon diversity |
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2014 |
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PLoS ONE |
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PLoS ONE |
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9 |
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3 |
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e90289 |
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Traditional measures of diversity, namely the number of species as well as Simpson's and Shannon's indices, are particular cases of Tsallis entropy. Entropy decomposition, i.e. decomposing gamma entropy into alpha and beta components, has been previously derived in the literature. We propose a generalization of the additive decomposition of Shannon entropy applied to Tsallis entropy. We obtain a self-contained definition of beta entropy as the information gain brought by the knowledge of each community composition. We propose a correction of the estimation bias allowing to estimate alpha, beta and gamma entropy from the data and eventually convert them into true diversity. We advocate additive decomposition in complement of multiplicative partitioning to allow robust estimation of biodiversity. © 2014 Marcon et al. |
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INRA, UMR 518 Math. Info. Appli, Paris, France |
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Public Library of Science |
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Export Date: 18 April 2014; Source: Scopus; Art. No.: e90289; Coden: Polnc; Language of Original Document: English |
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