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Faustin, M.; Maciuk, A.; Salvin, P.; Roos, C.; Lebrini, M. |
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Corrosion inhibition of C38 steel by alkaloids extract of Geissospermum laeve in 1M hydrochloric acid: Electrochemical and phytochemical studies |
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Journal Article |
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2015 |
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Corrosion Science |
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Corrosion Science |
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92 |
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287-300 |
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A. C38 steel; B. Eis; B. Sem; C. Acid corrosion; C. Anodic protection; C. Cathodic protection |
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Corrosion inhibition by alkaloids extract (AE) from Geissospermum laeve on C38 steel in 1. M HCl is investigated with electrochemical studies. Inhibition efficiency of 92% is reached with 100. mg/L of AE at 25. °C. Potentiodynamic polarization showed that the extract behaves as mixed-type inhibitors. The Nyquist plots showed that increasing AE concentration, charge-transfer resistance increased and double-layer capacitance decreased, involving increased inhibition efficiency. Adsorption of the inhibitor molecules corresponds to Langmuir adsorption isotherm. Immersion time and temperature effects were investigated using EIS and potentiodynamic polarization. SEM and EDX supported the adsorption conclusions. The active compound responsible for the corrosion inhibition is geissospermine. |
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Laboratoire de Pharmacognosie-Chimie des Substances Naturelles et Chimiotherapies Antiparasitaires, BioCIS, Université Paris-SudChâtenay-Malabry, France |
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Export Date: 6 February 2015 |
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EcoFoG @ webmaster @ |
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584 |
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Baraloto, C.; Alverga, P.; Quispe, S.B.; Barnes, G.; Chura, N.B.; Da Silva, I.B.; Castro, W.; Da Souza, H.; De Souza Moll, I.; Del Alcazar Chilo, J.; Linares, H.D.; Quispe, J.G.; Kenji, D.; Medeiros, H.; Murphy, S.; Rockwell, C.A.; Shenkin, A.; Silveira, M.; Southworth, J.; Vasquez, G.; Perz, S. |
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Trade-offs among forest value components in community forests of southwestern Amazonia |
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Journal Article |
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2014 |
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Ecology and Society |
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Ecology and Society |
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19 |
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4 |
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56 |
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Açai; Biodiversity conservation; Brazil nut; Carbon stocks; Livelihood; Ntfp; Redd; Rubber; Timber; Tropical rainforest |
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Contemporary conservation interventions must balance potential trade-offs between multiple ecosystem services. In tropical forests, much attention has focused on the extent to which carbon-based conservation provided by REDD+ policies can also mitigate biodiversity conservation. In the nearly one-third of tropical forests that are community owned or managed, conservation strategies must also balance the multiple uses of forest products that support local livelihoods. Although much discussion has focused on policy options, little empirical evidence exists to evaluate the potential for trade-offs among different tropical forest value components. We assessed multiple components of forest value, including tree diversity, carbon stocks, and both timber and nontimber forest product resources, in forest communities across the trinational frontier of Brazil, Peru, and Bolivia. We installed 69 0.5-ha vegetation plots in local communities, and we characterized 15 components of forest value for each plot. Principal components analyses revealed two major axes of forest value, the first of which defined a trade-off between diversity of woody plant communities (taxonomic and functional) versus aboveground biomass and standing timber volume. The second axis described abundance of commercial species, with strong positive loadings for density of timber and nontimber forest products, including Brazil nut (Bertholletia excelsa) and copaiba oil (Copaifera spp.). The observed trade-off between different components of forest value suggests a potential for management conflicts prioritizing biodiversity conservation versus carbon stocks in the region. We discuss the potential for integrative indices of forest value for tropical forest conservation. |
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Department of Sociology and Criminology and Law, University of Florida, United States |
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Export Date: 23 March 2015 |
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EcoFoG @ webmaster @ |
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589 |
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Baraloto, C.; Alverga, P.; Quispe, S.B.; Barnes, G.; Chura, N.B.; da Silva, I.B.; Castro, W.; da Souza, H.; de Souza Moll, I.E.; Del Alcazar Chilo, J.; Linares, H.D.; Quispe, J.G.; Kenji, D.; Marsik, M.; Medeiros, H.; Murphy, S.; Rockwell, C.; Selaya, G.; Shenkin, A.; Silveira, M.; Southworth, J.; Vasquez Colomo, G.H.; Perz, S. |
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Effects of road infrastructure on forest value across a tri-national Amazonian frontier |
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Journal Article |
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2015 |
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Biological Conservation |
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Biological Conservation |
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191 |
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674-681 |
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Açai; Biodiversity; Brazil nut; Carbon stocks; Connectivity; Infrastructure; Livelihood; Ntfp; Redd; Road impact; Rubber; Timber; Tropical rainforest |
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Road construction demonstrably accelerates deforestation rates in tropical forests, but its consequences for forest degradation remain less clear. We estimated a series of forest value metrics including components of biodiversity, carbon stocks, and timber and non-timber forest product resources, along the recently paved Inter-Oceanic Highway (IOH) integrating Brazil and Peru along the Bolivian border. We installed 69 vegetation plots in intact terra firme forests representative of local community holdings near and far from the IOH, and we characterized 15 components of forest value for each plot.We observed strong geographic gradients in forest value components across the region, with increases from west to east in aboveground biomass and in the abundance of timber and non-timber forest product trees and regeneration. Plots in communities in Pando, Bolivia, where the IOH remains in part unpaved, had the highest aboveground biomass, standing timber volumes and Brazil nut tree density. In contrast, communities in Madre de Dios, Peru, where settlements and unpaved portions of the IOH have existed for decades, and in Acre, Brazil, where paving of the IOH has been underway for more than a decade, were more degraded. Seven of the fifteen forest value components we measured increased with increasing distance from the IOH, although the magnitude of these effects was weak. Landscape scale remote sensing analyses showed much stronger effects of road proximity on deforestation. We suggest that remote sensing techniques including canopy spectral signatures might be calibrated to characterize multiple components of forest value, so that we can estimate landscape scale impacts of infrastructure developments on both deforestation and forest degradation in tropical regions. © 2015 Elsevier B.V. |
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International Center for Tropical Botany, Department of Earth and Environment, Florida International University, Miami, FL, United States |
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Export Date: 8 September 2015 |
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EcoFoG @ webmaster @ |
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619 |
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Csilléry, K.; Lalague, H.; Vendramin, G.G.; González-Martínez, S.C.; Fady, B.; Oddou-Muratorio, S. |
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Detecting short spatial scale local adaptation and epistatic selection in climate-related candidate genes in European beech (Fagus sylvatica) populations |
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2014 |
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Molecular Ecology |
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Molecular Ecology |
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23 |
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19 |
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4696-4708 |
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abiotic stress; budburst phenology; FST outlier; gene network; haplotype; Ohta's test; variance components of linkage disequilibrium |
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Detecting signatures of selection in tree populations threatened by climate change is currently a major research priority. Here, we investigated the signature of local adaptation over a short spatial scale using 96 European beech (Fagus sylvatica L.) individuals originating from two pairs of populations on the northern and southern slopes of Mont Ventoux (south-eastern France). We performed both single and multilocus analysis of selection based on 53 climate-related candidate genes containing 546 SNPs. FST outlier methods at the SNP level revealed a weak signal of selection, with three marginally significant outliers in the northern populations. At the gene level, considering haplotypes as alleles, two additional marginally significant outliers were detected, one on each slope. To account for the uncertainty of haplotype inference, we averaged the Bayes factors over many possible phase reconstructions. Epistatic selection offers a realistic multilocus model of selection in natural populations. Here, we used a test suggested by Ohta based on the decomposition of the variance of linkage disequilibrium. Overall populations, 0.23% of the SNP pairs (haplotypes) showed evidence of epistatic selection, with nearly 80% of them being within genes. One of the between gene epistatic selection signals arose between an FST outlier and a nonsynonymous mutation in a drought response gene. Additionally, we identified haplotypes containing selectively advantageous allele combinations which were unique to high or low elevations and northern or southern populations. Several haplotypes contained nonsynonymous mutations situated in genes with known functional importance for adaptation to climatic factors. |
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CIFOR-INIA, Forest Research Centre, Carretera de La Coruña km 7.5Madrid 28040, Spain |
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Export Date: 13 January 2015 |
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EcoFoG @ webmaster @ |
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579 |
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Sist, P.; Blanc, L.; Mazzei, L.; Baraloto, C.; Aussenac, R. |
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Current knowledge on overall post-logging biomass dynamics in Northern Amazonian forests |
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Journal Article |
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2012 |
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Bois et Forets des Tropiques |
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Bois Forets Tropiques |
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66 |
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314 |
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41-49 |
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Above ground-biomass; Amazonian rainforests; Logging impact; Silviculture |
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This article presents the effects of logging on the dynamics of above-ground biomass from the results of the post-logging study within two forests: Cikel in Eastern Pará, Brazil and Paracou in French Guiana. The main objective is to compare the impact of commercial logging on the regeneration of the aboveground biomass in these forests whose characteristics differ in terms of structure and growth. In both sites, the intensity of exploitation is a key factor in determining the loss of biomass and the time required for its regeneration. In Paracou, the regeneration of biomass lost during conventional logging of 10 trees per hectare takes 45 years and more than 100 years when operating with higher intensity (21 trees/ha ). In Cikel the forest biomass regenerates after 49 years harvesting 6 trees/ha and that takes 87 years after removal of 8 trees/ha. This regeneration needs similar time on both sites but with lower logging intensity at Cikel, in which felled trees are larger with a greater biomass than those of Paracou. This post-logging study has established a direct correlation of the dynamics of the biomass with the initial structure of the forest, as well as with the parameters of forest dynamics: mortality, growth and recruitment. The accumulation of biomass by the tree growth of the two remaining stands is a key parameter for the net carbon storage, while the contribution of recruitment in Paracou becomes significant only after 10 years after felling. Therefore in view to improve the growth of residual trees, it is compulsory to apply adequate silvicultural treatments such as selective thinning or removal of vines. While the two forests are geographically close enough, their regenerative abilities differ and because of the significant difference in size of the trees, the forest could tolerate more intensive harvesting in French Guiana. |
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Université Antilles-Guyane Cayenne, Guyane, France |
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0006579x (Issn) |
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Export Date: 5 June 2013; Source: Scopus; Language of Original Document: English; Correspondence Address: Cirad UR B and SEF, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France |
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EcoFoG @ webmaster @ |
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489 |
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Vincent, G.; Weissenbacher, E.; Sabatier, D.; Blanc, L.; Proisy, C.; Couteron, P. |
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Detection des variations de structure de peuplements en foret dense tropicale humide par lidar aeroporte |
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2010 |
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Revue Francaise de Photogrammetrie et de Teledetection |
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Rev. Fr. Photogramm. Teledetect. |
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191 |
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42-51 |
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Above-ground biomass estimation; Canopy height model; Stem diameter distribution; Tropical moist forest; Above ground biomass; Above ground level; Airborne LiDAR; Basal area; Canopy Height Models; Carbon stocks; Characterisation; Classical fields; Coefficient of variation; Diameter distributions; Digital terrain model; Flooded areas; Forest ecology; Forest structure; Forest type; High spatial resolution; Individual tree; LIDAR data; Light detection and ranging; Local statistics; Long term; Management issues; Natural forests; Natural variation; Pearson correlation coefficients; Quadratic mean diameter; Soil characteristics; Soil cover; Spatial changes; Spatial resolution; Stem density; Stem diameter; Stem height; Strong correlation; Tree height; Tropical moist forest; Tropical rain forest; Vegetation structure; Vertical accuracy; Water regime; Discriminant analysis; Ecology; Optical radar; Remote sensing; Soils; Statistics; Stem cells; Temperature control; Tropics; Vegetation; Forestry; Biomass; Discriminant Analysis; Ecology; Forest Canopy; Forestry; Radar; Remote Sensing; Stems; Temperature Control; Tropical Atmospheres |
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Characterisation of forest structure is a major stake for forestry, species conservation, carbon stock estimates and many forest ecology and management issues. At large scale natural forest structure tends to vary according to climate and geomorphomology (Paget, 1999; Steege et al., 2006) while soil characteristics (and notably water regime) and syMgenetic stage add some finer scale variation (Oldeman, 1989; Sabatier et al., 1997). Forest structure characterisation traditionally relies on field-based collection of individual tree dimensions such as stem diameter and stem height sampled across tracks of forest (Hall et al., 1998). However, such field intensive methods are costly, and of low accuracy regarding measures of tree heights. Airborne light detection and ranging (LiDAR) technology provides horizontal and vertical Information at high spatial resolutions and vertical accuracies (Lim et al., 2003; Hyyppä et al., 2004). It has the potential for gathering vegetation structure data over large areas rapidly at moderate cost and hence is of particular relevance for poorly sampled, difficult to access and largely unexplored tropical rainforests. In this study we examined the ability of airborne LiDAR to detect spatial changes in the structure of dense tropical rain forest and we probed this remote sensing approach against local statistics derived from stem diameters (i.e. classical field data information) mapped across a large track of forest at a long term experimental site in French Guyana. The large variability in forest structure occurring at the experimental site is du to natural variation of the soil cover (and notably drainage properties) combined with various logging intensities applied 15 years before the LiDAR data were acquired. On this basis ten different forest types were identified at the site (figure 1 and 3). Various stem based statistics were computed for a series of meshes with cells ranging from 30 by 30 m plots to 250 by 250 m plots. These statistics included basal area, stem density, quadratic mean diameter, and diameter distribution percentiles. Similarly local statistics were extracted either from the Canopy Height Model (e.g. median height, mean height, standard height deviation, height coefficient of variation, height percentiles, frequency of hits below 5 m above ground level). Additionally a wetness index (Böhner et al., 2002) was computed at each node of a 5 by 5 m grid from the Digital Terrain Model also extracted from the LiDAR data set. We used both types of cell statistics to discriminate the various forest types. Comparison between the two approaches for a range of spatial resolution is available from in table 1. Results indicate that LiDAR based statistics are essentially as powerful as field based statistics to discriminate forest types at coarse scale. This reflects the very strong correlation between the CHM and the field based stem diameter data. For example (figure 5) the Pearson correlation coefficient between median height and quadratic mean diameter for cells of 125 by 125 m is 0.945 (n=0.72). When a finer resolution is required however as for the detection of seasonally flooded bottomland forest along thalwegs, then LiDAR technology proves more efficient than field based inventories as it combines information from the DTM and the CHM. The wetness index alone correctly retrieves about 2 thirds of the seasonally flooded areas. All in all, discriminant analysis performance of the LiDAR derived information approaches 80% when classifying forests cover at the finest scale of 5 by 5m into 10 different types and reaches 87% when a coarser classification Into 6 forest types is considered (figure 4). |
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IRD, UMR AMAP, Montpellier, France |
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Cited By (since 1996): 1; Export Date: 21 October 2011; Source: Scopus; Language of Original Document: French; Correspondence Address: Vincent, G.; IRD, UMR AMAP, Kourou – BP 701 (CIRAD) 97387 Kourou cedex -Guyane, France |
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EcoFoG @ webmaster @ |
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351 |
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Fayad, I.; Baghdadi, N.; Guitet, S.; Bailly, J.-S.; Herault, B.; Gond, V.; El Hajj, M.; Tong Minh, D.H. |
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Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data |
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2016 |
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International Journal of Applied Earth Observation and Geoinformation |
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International Journal of Applied Earth Observation and Geoinformation |
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52 |
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502-514 |
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Aboveground biomass mapping; Forests; French Guiana; ICESat GLAS; LiDAR |
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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. |
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NOVELTIS, 153 rue du Lac, Labège, France |
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Export Date: 9 December 2016 |
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EcoFoG @ webmaster @ |
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699 |
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Blanc, L.; Echard, M.; Herault, B.; Bonal, D.; Marcon, E.; Chave, J.; Baraloto, C. |
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Dynamics of aboveground carbon stocks in a selectively logged tropical forest |
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2009 |
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Ecological Applications |
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Ecol. Appl. |
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19 |
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6 |
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1397-1404 |
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aboveground biomass; carbon sequestration; deforestation; French Guiana; global change; timber stand improvement; tropical forests |
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The expansion of selective logging in tropical forests may be an important source of global carbon emissions. However, the effects of logging practices on the carbon cycle have never been quantified over long periods of time. We followed the fate of more than 60 000 tropical trees over 23 years to assess changes in aboveground carbon stocks in 48 1.56-ha plots in French Guiana that represent a gradient of timber harvest intensities, with and without intensive timber stand improvement (TSI) treatments to stimulate timber tree growth. Conventional selective logging led to emissions equivalent to more than a third of aboveground carbon stocks in plots without TSI (85 Mg C/ha), while plots with TSI lost more than one-half of aboveground carbon stocks (142 Mg C/ha). Within 20 years of logging, plots without TSI sequestered aboveground carbon equivalent to more than 80% of aboveground carbon lost to logging (-70.7 Mg C/ha), and our simulations predicted an equilibrium aboveground carbon balance within 45 years of logging. In contrast, plots with intensive TSI are predicted to require more than 100 years to sequester aboveground carbon lost to emissions. These results indicate that in some tropical forests aboveground carbon storage can be recovered within half a century after conventional logging at moderate harvest intensities. |
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[Bonal, Damien; Baraloto, Christopher] INRA, UMR Ecol Forets Guyane, Kourou 97379, French Guiana, Email: chris.baraloto@ecofog.gf |
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ECOLOGICAL SOC AMER |
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ISI:000269075200003 |
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EcoFoG @ eric.marcon @ |
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105 |
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Lenoir, A.; Touchard, A.; Devers, S.; Christidès, J.-P.; Boulay, R.; Cuvillier-Hot, V. |
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Ant cuticular response to phthalate pollution |
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2014 |
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Environmental Science and Pollution Research |
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Environ. Sci. Pollut. Res. |
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21 |
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23 |
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13446-13451 |
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Absorption; Ants; Bbp; Bioindicator; Cuticle; Dbp; Dehp; DiBP; Phthalates; Pollutants |
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Phthalates are common atmospheric contaminants used in the plastic industry. Ants have been shown to constitute good bioindicators of phthalate pollution. Hence, phthalates remain trapped on ant cuticles which are mostly coated with long-chain hydrocarbons. In this study, we artificially contaminated Lasius niger ants with four phthalates: dibutyl phthalate (DBP), diisobutyl phthalate (DiBP), di(2-ethylhexyl) phthalate (DEHP), and benzyl butyl phthalate (BBP). The first three have previously been found on ants in nature in Touraine (France), while the fourth has not. The four phthalates disappeared rapidly (less than 5 days) from the cuticles of live ants. In contrast, on the cuticles of dead ants, DEHP quantities remained unchanged over time. These results indicate that phthalates are actively absorbed by the cuticles of live ants. Cuticular absorption of phthalates is nonspecific because eicosane, a nonnatural hydrocarbon on L. niger cuticle, was similarly absorbed. Ants are important ecological engineers and may serve as bioindicators of ecosystem health. We also suggest that ants and more generally terrestrial arthropods may contribute to the removal of phthalates from the local environment. |
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CNRS, UMR Écologie des Forêts de Guyane (EcoFoG), Campus Agronomique, BP 316Kourou Cedex, France |
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Springer Verlag |
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Export Date: 5 December 2014; Coden: Esple; Correspondence Address: Lenoir, A.; IRBI, Institut de Recherche sur la Biologie de l’Insecte, UMR CNRS 7261, Université François RabelaisFrance |
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EcoFoG @ webmaster @ |
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570 |
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Anouhe, J.-B.S.; Adima, A.A.; Niamké, F.B.; Stien, D.; Amian, B.K.; Blandinieres, P.-A.; Virieux, D.; Pirat, J.-L.; Kati-Coulibaly, S.; Amusant, N. |
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Dicorynamine and harmalan-N-oxide, two new β-carboline alkaloids from Dicorynia guianensis Amsh heartwood |
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2015 |
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Phytochemistry Letters |
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Phytochemistry Letters |
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12 |
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158-163 |
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ABTS antioxidant; Biogenesis; Dicorynia guianensis; Nitrone; Spiroindolone |
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Abstract The chemical investigations of Dicorynia guianensis heartwood led to the isolation of four new indole alkaloids for the first time in this plant. Compound (1) identified as spiroindolone 2′,3′,4′,9′-tetrahydrospiro [indoline-3,1′pyrido[3,4-b]-indol]-2-one, and compound (3) described as nitrone 1-methyl-4,9-dihydro-3H-pyrido [3,4-b] indole 2-oxide and were isolated for the first time as natural products. ABTS antioxidant activity guided their isolation. © 2015 Published by Elsevier B.V. on behalf of Phytochemical Society of Europe. |
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CIRAD, Département Environnements et Sociétés, UMR Ecologie des Forêts de GuyaneKourou cedex, France |
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Export Date: 24 April 2015 |
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