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Jaouen, G.; Sagne, A.; Buyck, B.; Decock, C.; Louisanna, E.; Manzi, S.; Baraloto, C.; Roy, M.; Schimann, H. |
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Fungi of French Guiana gathered in a taxonomic, environmental and molecular dataset |
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2019 |
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Scientific data |
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6 |
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206 |
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In Amazonia, the knowledge about Fungi remains patchy and biased towards accessible sites. This is particularly the case in French Guiana where the existing collections have been confined to few coastal localities. Here, we aimed at filling the gaps of knowledge in undersampled areas of this region, particularly focusing on the Basidiomycota. From 2011, we comprehensively collected fruiting-bodies with a stratified and reproducible sampling scheme in 126 plots. Sites of sampling reflected the main forest habitats of French Guiana in terms of soil fertility and topography. The dataset of 5219 specimens gathers 245 genera belonging to 75 families, 642 specimens are barcoded. The dataset is not a checklist as only 27% of the specimens are identified at the species level but 96% are identified at the genus level. We found an extraordinary diversity distributed across forest habitats. The dataset is an unprecedented and original collection of Basidiomycota for the region, making specimens available for taxonomists and ecologists. The database is publicly available in the GBIF repository ( https://doi.org/10.15468/ymvlrp ). |
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Department of Biological Science, Florida International University, FL, Miami, 33199, United States |
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Export Date: 28 October 2019 |
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EcoFoG @ webmaster @ |
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891 |
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Zinger, L.; Taberlet, P.; Schimann, H.; Bonin, A.; Boyer, F.; De Barba, M.; Gaucher, P.; Gielly, L.; Giguet-Covex, C.; Iribar, A.; Réjou-Méchain, M.; Rayé, G.; Rioux, D.; Schilling, V.; Tymen, B.; Viers, J.; Zouiten, C.; Thuiller, W.; Coissac, E.; Chave, J. |
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Body size determines soil community assembly in a tropical forest |
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2019 |
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Molecular Ecology |
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Mol Ecol |
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28 |
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3 |
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528-543 |
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DNA metabarcoding; eDNA; French Guiana; multitaxa; neutral assembly; niche determinism; propagule size; soil diversity |
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Tropical forests shelter an unparalleled biological diversity. The relative influence of environmental selection (i.e., abiotic conditions, biotic interactions) and stochastic?distance-dependent neutral processes (i.e., demography, dispersal) in shaping communities has been extensively studied for various organisms, but has rarely been explored across a large range of body sizes, in particular in soil environments. We built a detailed census of the whole soil biota in a 12-ha tropical forest plot using soil DNA metabarcoding. We show that the distribution of 19 taxonomic groups (ranging from microbes to mesofauna) is primarily stochastic, suggesting that neutral processes are prominent drivers of the assembly of these communities at this scale. We also identify aluminium, topography and plant species identity as weak, yet significant drivers of soil richness and community composition of bacteria, protists and to a lesser extent fungi. Finally, we show that body size, which determines the scale at which an organism perceives its environment, predicted the community assembly across taxonomic groups, with soil mesofauna assemblages being more stochastic than microbial ones. These results suggest that the relative contribution of neutral processes and environmental selection to community assembly directly depends on body size. Body size is hence an important determinant of community assembly rules at the scale of the ecological community in tropical soils and should be accounted for in spatial models of tropical soil food webs. |
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John Wiley & Sons, Ltd (10.1111) |
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EcoFoG @ webmaster @ |
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Courtois, E. A.; Stahl, C.; Burban, B.; Van Den Berge, J.; Berveiller, D.; Bréchet, L.; Larned Soong, J.; Arriga, N.; Peñuelas, J.; August Janssens, I. |
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Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest |
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2019 |
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Biogeosciences |
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Biogeosciences |
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16 |
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3 |
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785-796 |
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Measuring in situ soil fluxes of carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO 2 flux chamber system (LI-8100A) with a CH 4 and N 2 O analyzer (Picarro G2308) in a tropical rainforest for 4 months. A chamber closure time of 2 min was sufficient for a reliable estimation of CO 2 and CH 4 fluxes (100% and 98.5% of fluxes were above minimum detectable flux – MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N 2 O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25 min was more appropriate for reliable estimation of most N 2 O fluxes (85.6% of measured fluxes are above MDF±0.002 nmolm -2 s -1 ). Our study highlights the importance of adjusted closure time for each gas. © Author(s) 2019. |
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CREAF, Cerdanyola Del Vallès, Catalonia, 08193, Spain |
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Copernicus GmbH |
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Export Date: 25 February 2019; Correspondence Address: Alice Courtois, E.; Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and Ecosystems), Universiteitsplein 1, Belgium; email: courtoiselodie@gmail.com; Funding details: Centre de Coopération Internationale en Recherche Agronomique pour le Développement, CIRAD; Funding details: European Research Council, ERC, ERC-2013-SyG 610028-IMBALANCE-P; Funding details: ANR-10-LABX-25-01, ANR-11-INBS-0001; Funding details: U.S. Department of Energy, DOE, DE-AC02-05CH11231; Funding details: Agence Nationale de la Recherche, ANR; Funding details: Institut National de la Recherche Agronomique, INRA; Funding details: Fonds Wetenschappelijk Onderzoek, FWO; Funding text 1: Acknowledgements. This research was supported by the European Research Council Synergy grant ERC-2013-SyG 610028-IMBALANCE-P. We thank Jan Segers for help in the initial setting of the system and Renato Winkler from Picarro and Rod Madsen and Jason Hupp from LI-COR for their help in combining the systems. We thank the staff of Paracou station, managed by UMR Ecofog (CIRAD, INRA; Kourou), which received support from “Investissement d’Avenir” grants managed by Agence Nationale de la Recherche (CEBA: ANR-10-LABX-25-01, ANAEE-France: ANR-11-INBS-0001). This study was conducted in collaboration with the Guyaflux program belonging to SOERE F-ORE-T, which is supported annually by Ecofor, Allenvi, and the French national research infrastructure, ANAEE-F. This program also received support from an “investissement d’avenir” grant from the Agence Nationale de la Recherche (CEBA, ref ANR-10-LABX-25-01). Ivan August Janssens acknowledges support from Antwerp University (Methusalem funding), Nicola Arriga from ICOS-Belgium and Fonds Wetenschappelijk Onderzoek (FWO), and Jennifer Larned Soong from the U.S. Department of Energy under contract DE-AC02-05CH11231.; References: Aguilos, M., Hérault, B., Burban, B., Wagner, F., Bonal, D., What drives long-Term variations in carbon flux and balance in a tropical rainforest in French Guiana? (2018) Agr. Forest Meteorol, 253, pp. 114-123; Ambus, P., Skiba, U., Drewer, J., Jones, S., Carter, M.S., Albert, K.R., Sutton, M., Development of an accumulation-based system for cost-effective chamber measurements of inert trace gas fluxes (2010) Eur. J. Soil Sci, 61, pp. 785-792; Arias-Navarro, C., Díaz-Pinés, E., Klatt, S., Brandt, P., Rufino, M.C., Butterbach-Bahl, K., Verchot, L., Spatial variability of soil N2O and CO2 fluxes in different topographic positions in a tropical montane forest in Kenya (2017) J. Geophys. Res.-Biogeo, 122, pp. 514-527; Bonal, D., Bosc, A., Ponton, S., Goret, J.Y., Burban, B., Gross, P., Bonnefond, J., Epron, D., Impact of severe dry season on net ecosystem exchange in the Neotropical rainforest of French Guiana (2008) Glob. Change Biol, 14, pp. 1917-1933; Bréchet, L., Ponton, S., Roy, J., Freycon, V., Coteaux, M.-M., Bonal, D., Epron, D., Do tree species characteristics influence soil respiration in tropical forests? A test based on 16 tree species planted in monospecific plots (2009) Plant Soil, 319, pp. 235-246; Breuer, L., Papen, H., Butterbach-Bahl, K., N2O emission from tropical forest soils of Australia (2000) J. Geophys. Res.-Atmos, 105, pp. 26353-26367; Christiansen, J.R., Outhwaite, J., Smukler, S.M., Comparison of CO2, CH4 and N2O soil-Atmosphere exchange measured in static chambers with cavity ring-down spectroscopy and gas chromatography (2015) Agr. Forest Meteorol, 211, pp. 48-57; Courtois, E.A., Stahl, C., Dataset from Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest (2019) Biogeosciences, 2019. , https://doi.org/10.5281/zenodo.2555299; Courtois, E.A., Stahl, C., Van Den Berge, J., Bréchet, L., Van Langenhove, L., Richter, A., Urbina, I., Janssens, I.A., Spatial variation of soil CO2, CH4 and N2O fluxes across topographical positions in tropical forests of the Guiana Shield (2018) Ecosystems, 21, pp. 1445-1458; Davidson, E., Savage, K., Verchot, L., Navarro, R., Minimizing artifacts and biases in chamber-based measurements of soil respiration (2002) Agr. Forest Meteorol, 113, pp. 21-37; Davidson, E.A., Nepstad, D.C., Ishida, F.Y., Brando, P.M., Effects of an experimental drought and recovery on soil emissions of carbon dioxide, methane, nitrous oxide, and nitric oxide in a moist tropical forest (2008) Glob. Change Biol, 14, pp. 2582-2590; De Klein, C., Harvey, M., (2012) Nitrous Oxide Chamber Methodology Guidelines, , Ministry for Primary Industries, Wellington, New Zealand; Denmead, O., Chamber systems for measuring nitrous oxide emission from soils in the field (1979) Soil Sci. Soc. Am. J, 43, pp. 89-95; Dutaur, L., Verchot, L.V., A global inventory of the soil CH4 sink (2007) Glob. Biogeochem. Cy, p. 21. , https://doi.org/10.1029/2006GB002734; Epron, D., Bosc, A., Bonal, D., Freycon, V., Spatial variation of soil respiration across a topographic gradient in a tropical rain forest in French Guiana (2006) J. Trop. Ecol, 22, pp. 565-574; (1998) World Reference Base for Soil Resources, , FAO/ ISRIC/ISSS.FAO, ISRIC, ISSS, World Soil Resources Reports 84, Rome; Görres, C.-M., Kammann, C., Ceulemans, R., Automation of soil flux chamber measurements, potentials and pitfalls (2016) Biogeosciences, 13, pp. 1949-1966. , https://doi.org/10.5194/bg-13-1949-2016; Hupp, J.R., Garcia, R.L., Madsen, R., McDermitt, D.K., Measurement of CO2 evolution in a multiplexed flask system (2009) Amer. Soc. Horticultural Science, Alexandria USA, 44, pp. 1143-1143; Janssens, I.A., Kowalski, A.S., Longdoz, B., Ceulemans, R., Assessing forest soil CO2 efflux, an in-situ comparison of four techniques (2000) Tree Physiol, 20, pp. 23-32; Koskinen, M., Minkkinen, K., Ojanen, P., Kämäräinen, M., Laurila, T., Lohila, A., Measurements of CO2 exchange with an automated chamber system throughout the year, challenges in measuring night-Time respiration on porous peat soil (2014) Biogeosciences, 11, pp. 347-363. , https://doi.org/10.5194/bg-11-347-2014; Kostyanovsky, K., Huggins, D., Stockle, C., Waldo, S., Lamb, B., Developing a flow through chamber system for automated measurements of soil N2O and CO2 emissions (2018) Measurement, 113, pp. 172-180; Merbold, L., Wohlfahrt, G., Butterbach-Bahl, K., Pilegaard, K., DelSontro, T., Stoy, P., Zona, D., Preface, Towards a full greenhouse gas balance of the biosphere (2015) Biogeosciences, 12, pp. 453-456. , https://doi.org/10.5194/bg-12-453-2015; Nickerson, N., (2016) Evaluating Gas Emission Measurements Using Minimum Detectable Flux (MDF), , Eosense Inc., Dartmouth, Nova Scotia, Canada; Nicolini, G., Castaldi, S., Fratini, G., Valentini, R., A literature overview of micrometeorological CH4 and N2O flux measurements in terrestrial ecosystems (2013) Atmos. Environ, 81, pp. 311-319; O'Connell, C.S., Ruan, L., Silver, W.L., Drought drives rapid shifts in tropical rainforest soil biogeochemistry and greenhouse gas emissions (2018) Nat. Commun, 9, p. 1348. , https://doi.org/10.1038/s41467-018-03352; Oertel, C., Matschullat, J., Zurba, K., Zimmermann, F., Erasmi, S., Greenhouse gas emissions from soils-A review (2016) Chem. Erde-Geochem, 76, pp. 327-352; Petitjean, C., Hénault, C., Perrin, A.-S., Pontet, C., Metay, A., Bernoux, M., Jehanno, T., Roggy, J.-C., Soil N2O emissions in French Guiana after the conversion of tropical forest to agriculture with the chop-And-mulch method (2015) Agr. Ecosyst. Environ, 208, pp. 64-74; Petrakis, S., Seyfferth, A., Kan, J., Inamdar, S., Vargas, R., Influence of experimental extreme water pulses on greenhouse gas emissions from soils (2017) Biogeochemistry, 133, pp. 147-164; Petrakis, S., Barba, J., Bond-Lamberty, B., Vargas, R., Using greenhouse gas fluxes to define soil functional types (2017) Plant Soil, pp. 1-10; Pumpanen, J., Kolari, P., Ilvesniemi, H., Minkkinen, K., Vesala, T., Niinistö, S., Lohila, A., Pihlatie, M., Comparison of different chamber techniques for measuring soil CO2 efflux (2004) Agr. Forest Meteorol, 123, pp. 159-176; Rowland, L., Hill, T.C., Stahl, C., Siebicke, L., Burban, B., Zaragoza-Castells, J., Ponton, S., Williams, M., Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest (2014) Glob. Change Biol, 20, pp. 979-991; Rubio, V.E., Detto, M., Spatiotemporal variability of soil respiration in a seasonal tropical forest (2017) Ecol. Evol, 7, pp. 7104-7116; Savage, K., Phillips, R., Davidson, E., High temporal frequency measurements of greenhouse gas emissions from soils (2014) Biogeosciences, 11, pp. 2709-2720. , https://doi.org/10.5194/bg-11-2709-2014; Silver, W.L., Lugo, A., Keller, M., Soil oxygen availability and biogeochemistry along rainfall and topographic gradients in upland wet tropical forest soils (1999) Biogeochemistry, 44, pp. 301-328; Teh, Y.A., Diem, T., Jones, S., Huaraca Quispe, L.P., Baggs, E., Morley, N., Richards, M., Meir, P., Methane and nitrous oxide fluxes across an elevation gradient in the tropical Peruvian Andes (2014) Biogeosciences, 11, pp. 2325-2339. , https://doi.org/10.5194/bg-11-2325-2014; Verchot, L.V., Davidson, E.A., Cattânio, H., Ackerman, I.L., Erickson, H.E., Keller, M., Land use change and biogeochemical controls of nitrogen oxide emissions from soils in eastern Amazonia (1999) Global Biogeochem. Cy, 13, pp. 31-46; Verchot, L.V., Davidson, E.A., Cattânio, J.H., Ackerman, I.L., Land-use change and biogeochemical controls of methane fluxes in soils of eastern Amazonia (2000) Ecosystems, 3, pp. 41-56; Wagner, F., Hérault, B., Stahl, C., Bonal, D., Rossi, V., Modeling water availability for trees in tropical forests (2011) Agr. Forest Meteorol, 151, pp. 1202-1213 |
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EcoFoG @ webmaster @ |
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860 |
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Taureau, F.; Robin, M.; Proisy, C.; Fromard, F.; Imbert, D.; Debaine, F. |
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Mapping the mangrove forest canopy using spectral unmixing of very high spatial resolution satellite images |
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Journal Article |
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2019 |
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Remote Sensing |
Abbreviated Journal |
Remote Sens. |
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11 |
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3 |
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367 |
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Forest structure; Guadeloupe; Hemispherical photographs; Mangrove; Mayotte; New Caledonia; Remote sensing; Image resolution; Photography; Photomapping; Pixels; Remote sensing; Satellites; Vegetation; Forest structure; Guadeloupe; Hemispherical photographs; Mangrove; Mayotte; New Caledonia; Forestry |
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Despite the lowtree diversity and scarcity of the understory vegetation, the high morphological plasticity of mangrove trees induces, at the stand level, a very large variability of forest structures that need to be mapped for assessing the functioning of such complex ecosystems. Fully constrained linear spectral unmixing (FCLSU) of very high spatial resolution (VHSR) multispectral images was tested to fine-scale map mangrove zonations in terms of horizontal variation of forest structure. The study was carried out on three Pleiades-1A satellite images covering French island territories located in the Atlantic, Indian, and Pacific Oceans, namely Guadeloupe, Mayotte, and New Caledonia archipelagos. In each image, FCLSU was trained from the delineation of areas exclusively related to four components including either pure vegetation, soil (ferns included), water, or shadows. It was then applied to the whole mangrove cover imaged for each island and yielded the respective contributions of those four components for each image pixel. On the forest stand scale, the results interestingly indicated a close correlation between FCLSU-derived vegetation fractions and canopy closure estimated from hemispherical photographs R 2 = 0.95) and a weak relation with the Normalized Difference Vegetation Index (R 2 = 0.29). Classification of these fractions also offered the opportunity to detect and map horizontal patterns of mangrove structure in a given site. K-means classifications of fraction indeed showed a global view of mangrove structure organization in the three sites, complementary to the outputs obtained from spectral data analysis. Our findings suggest that the pixel intensity decomposition applied to VHSR multispectral satellite images can be a simple but valuable approach for (i) mangrove canopy monitoring and (ii) mangrove forest structure analysis in the perspective of assessing mangrove dynamics and productivity. As with Lidar-based surveys, these potential new mapping capabilities deserve further physically based interpretation of sunlight scattering mechanisms within forest canopy. © 2019 by the authors. |
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UMR Ecologie des Forêts de Guyane (EcoFoG), INRA, CNRS, Cirad, AgroParisTech, Université des Antilles, Université de Guyane, Kourou, French Guiana, 97310, France |
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Export Date: 25 February 2019; Correspondence Address: Taureau, F.; Université de Nantes, UMR CNRS 6554 Littoral Environnement Télédétection Géomatique, Campus TertreFrance; email: florent.taureau@univ-nantes.fr; Funding details: Université de Nantes; Funding text 1: Funding: A part of this study was funded by the French Coastal Conservancy Institute. It was conducted as part of the PhD work of Florent Taureau supported by the University of Nantes.; References: Duke, N.C., Mangrove Coast (2014) Encyclopedia of Marine Geosciences, pp. 1-17. , Harff, J., Meschede, M., Petersen, S., Thiede, J., Eds.; Springer: Berlin, Germany; Feller, I.C., Lovelock, C.E., Berger, U., McKee, K.L., Joye, S.B., Ball, M.C., Biocomplexity in Mangrove Ecosystems (2010) Annu. Rev. Mar. Sci, 2, pp. 395-417; Krauss, K.W., Lovelock, C.E., McKee, K.L., López-Hoffman, L., Ewe, S.M., Sousa, W.P., Environmental drivers in mangrove establishment and early development: A review (2008) Aquat. Bot, 89, pp. 105-127; Chapman, V.J., (1976) Mangrove Vegetation, , Cramer: Vaduz, Liechtenstein; Friess, D.A., Lee, S.Y., Primavera, J.H., Turning the tide on mangrove loss (2016) Mar. Pollut. Bull, 109, pp. 673-675; Alongi, D.M., Mangrove forests: Resilience, protection from tsunamis, and responses to global climate change (2008) Estuar. Coast. Shelf Sci, 76, pp. 1-13; Bouillon, S., Borges, A.V., Castañeda-Moya, E., Diele, K., Dittmar, T., Duke, N.C., Kristensen, E., Rivera-Monroy, V.H., Mangrove production and carbon sinks: A revision of global budget estimates: Global mangrove carbon budgets (2008) Glob. Biogeochem. Cycles, p. 22; Donato, D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M., Kanninen, M., Mangroves among the most carbon-rich forests in the tropics (2011) Nat. Geosci, 4, pp. 293-297; Duke, N.C., Nagelkerken, I., Agardy, T., Wells, S., van Bochove, J.-W., (2014) The Importance of Mangroves to People: A Call to Action, , United Nations Environment ProgrammeWorld Conservation Monitoring Centre: Cambridge, UK; De Lacerda, L.D., (2010) Mangrove Ecosystems: Function and Management, , Springer: Berlin, Germany; Lee, S.Y., Primavera, J.H., Dahdouh-Guebas, F., McKee, K., Bosire, J.O., Cannicci, S., Diele, K., Koedam, N., Cyril Marchand Ecological role and services of tropical mangrove ecosystems: a reassessment: Reassessment of mangrove ecosystem services (2014) Glob. Ecol. Biogeogr, 23, pp. 726-743; Spalding, M., Kainuma, M., Collins, L., (2010) World Atlas of Mangroves, , Routledge: Abingdon, UK; (2007) The World's Mangroves 1980-2005: A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment 2005, , Food and Agriculture Organization of the United Nations: Rome, Italy; Ellison, J.C., Vulnerability assessment of mangroves to climate change and sea-level rise impacts (2015) Wetl. Ecol. Manag, 23, pp. 115-137; Ellison, J., Zouh, I., Vulnerability to Climate Change of Mangroves: Assessment from Cameroon, Central Africa (2012) Biology, 1, pp. 617-638; Gilman, E.L., Ellison, J., Duke, N.C., Field, C., Threats to mangroves from climate change and adaptation options: A review (2008) Aquat. Bot, 89, pp. 237-250; Li, S., Meng, X., Ge, Z., Zhang, L., Evaluation of the threat from sea-level rise to the mangrove ecosystems in Tieshangang Bay, Southern China (2015) Ocean Coast. Manag, 109, pp. 1-8; Alongi, D.M., Present state and future of the world's mangrove forests (2002) Environ. Conserv, 29, pp. 331-349; Panta, M., (2003) Analisys of Forest Canopy Density and Factors Affecting It Using RS and GIS Techniques-A Case Study from Chitwan District of Nepal, , International Institue for Geo-Information Science and Earth Observation: Hengelosestraat, The Netherlands; Birnbaum, P., Canopy surface topography in a French Guiana forest and the folded forest theory (2001) Plant Ecol, 153, pp. 293-300; Lowman, M.D., Schowalter, T., Franklin, J., (2012) Methods in Forest Canopy Research, , University of California Press: Berkeley, CA, USA; Parker, G.G., Structure and microclimate of forest canopies (1995) Forest Canopies: A Review of Research on a Biological Frontier, pp. 73-106. , Lowman, M., Nadkarni, N., Eds.; Academic Press: San Diego, CA, USA; Frazer, G.W., Trofymow, J.A., Lertzman, K.P., (1997) A Method for Estimating Canopy Openness, Effective Leaf Area Index, and Photosynthetically Active Photon Flux Density Using Hemispherical Photography and Computerized Image Analysis Techniques, , Canadian Forest Service, Pacific Forestry Centre: Victoria, BC, Canada; Smith, M.-L., Anderson, J., Fladeland, M., Forest canopy structural properties (2008) Field Measurements for Forest Carbon Monitoring: A Landscape-Scale Approach, pp. 179-196. , Springer: Berlin, Germany; Green, E.P., Clark, C.D., Mumby, P.J., Edwards, A.J., Ellis, A.C., Remote sensing techniques for mangrove mapping (1998) Int. J. Remote Sens, 19, pp. 935-956; Sari, S.P., Rosalina, D., Mapping and Monitoring of Mangrove Density Changes on tin Mining Area (2016) Procedia Environ. Sci, 33, pp. 436-442; Yuvaraj, E., Dharanirajan, K., Saravanan, N., Karpoorasundarapandian, N., (2014) Evaluation of Vegetation Density of the Mangrove Forest in South Andaman Island Using Remote Sensing and GIS Techniques, pp. 19-25. , International Science Congress Association: India; Garcia-Haro, F.J., Gilabert, M.A., Melia, J., Linear spectral mixture modelling to estimate vegetation amount from optical spectral data (1996) Int. J. Remote Sens, 17, pp. 3373-3400; Braun, M., Martin, H., Mapping imperviousness using NDVI and linear spectral unmixing of ASTER data in the Cologne-Bonn region (Germany) (2003) Proceedings of the SPIE 10th International Symposium on Remote Sensing, , Barcelona, Spain, 8-12 September; Drake, N.A., Mackin, S., Settle, J.J., Mapping Vegetation, Soils, and Geology in Semiarid Shrublands Using Spectral Matching and Mixture Modeling of SWIR AVIRIS Imagery (1999) Remote Sens. Environ, 68, pp. 12-25; Guerschman, J.P., Scarth, P.F., McVicar, T.R., Renzullo, L.J., Malthus, T.J., Stewart, J.B., Rickards, J.E., Trevithick, R., Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data (2015) Remote Sens. Environ, 161, pp. 12-26; Stagakis, S., Vanikiotis, T., Sykioti, O., Estimating forest species abundance through linear unmixing of CHRIS/PROBA imagery (2016) ISPRS J. Photogramm. Remote Sens, 119, pp. 79-89; Liu, T., Yang, X., Mapping vegetation in an urban area with stratified classification and multiple endmember spectral mixture analysis (2013) Remote Sens. Environ, 133, pp. 251-264; Silvan-Cardenas, J.L., Wang, L., Fully Constrained Linear Spectral Unmixing: Analytic Solution Using Fuzzy Sets (2010) IEEE Trans. Geosci. Remote Sens, 48, pp. 3992-4002; Souza, C., Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models (2003) Remote Sens. Environ, 87, pp. 494-506; Ji, M., Feng, J., Subpixel measurement of mangrove canopy closure via spectral mixture analysis (2011) Front. Earth Sci, 5, pp. 130-137; Tiner, R.W., Lang, M.W., Klemas, V.V., (2015) Remote Sensing of Wetlands: Applications and Advances, , CRC Press: Boca Raton, FL, USA; Haase, D., Jänicke, C., Wellmann, T., Front and back yard green analysis with subpixel vegetation fractions from earth observation data in a city (2019) Landsc. Urban Plan, 182, pp. 44-54; Dronova, I., Object-Based Image Analysis inWetland Research: A Review (2015) Remote Sens, 7, pp. 6380-6413; Fei, S.X., Shan, C.H., Hua, G.Z., Remote Sensing of Mangrove Wetlands Identification (2011) Procedia Environ. Sci, 10, pp. 2287-2293; Heumann, B.W., Satellite remote sensing of mangrove forests: Recent advances and future opportunities (2011) Prog. Phys. Geogr, 35, pp. 87-108; Proisy, C., Couteron, P., Fromard, F., Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images (2007) Remote Sens. Environ, 109, pp. 379-392; Imbert, D., Labbé, P., Rousteau, A., Hurricane damage and forest structure in Guadeloupe, French West Indies (1996) J. Trop. Ecol, 12, pp. 663-680; Herteman, M., Fromard, F., Lambs, L., Effects of pretreated domestic wastewater supplies on leaf pigment content, photosynthesis rate and growth of mangrove trees: A field study from Mayotte Island, SW Indian Ocean (2011) Ecol. Eng, 37, pp. 1283-1291; Cremades, C., (2010) Cartographie des Habitats Naturels des Mangroves de Mayotte, , Direction de l'Agriculture et de la Forêt Service Environnement et Forêt: Mamoudzou, Mayotte; Jeanson, M., (2009) Morphodynamique du Littoral de Mayotte: des Processus au Réseau de Surveillance, , Université du Littoral Côte d'Opale: Dunkerque, France; Marchand, C., Dumas, P., (2007) Typologies et Biodiversité des Mangroves de Nouvelle-Calédonie, , IRD: Nouméa, Nouvelle-Calédonie; Glatthorn, J., Beckschäfer, P., Standardizing the Protocol for Hemispherical Photographs: Accuracy Assessment of Binarization Algorithms (2014) PLoS ONE, 9; Betbeder, J., Nabucet, J., Pottier, E., Baudry, J., Corgne, S., Hubert-Moy, L., Detection and Characterization of Hedgerows Using TerraSAR-X Imagery (2014) Remote Sens, 6, pp. 3752-3769; Betbeder, J., Hubert-Moy, L., Burel, F., Corgne, S., Baudry, J., Assessing ecological habitat structure from local to landscape scales using synthetic aperture radar (2015) Ecol. Indic, 52, pp. 545-557; Betbeder, J., Rapinel, S., Corgne, S., Pottier, E., Hubert-Moy, L., TerraSAR-X dual-pol time-series for mapping of wetland vegetation (2015) ISPRS J. Photogramm. Remote Sens, 107, pp. 90-98; (2013), Reference Book, eCognition Developer 8.9'; Trimble: Sunnyvale, CA, USA; Lobell, D.B., Asner, G.P., Law, B.E., Treuhaft, R.N., View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRIS (2002) Int. J. Remote Sens, 23, pp. 2247-2262; Viennois, G., Proisy, C., Feret, J.B., Prosperi, J., Sidik, F., Suhardjono; Rahmania, R., Longépé, N., Gaspar, P., Multitemporal Analysis of High-Spatial-Resolution Optical Satellite Imagery for Mangrove Species Mapping in Bali, Indonesia (2016) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, 9, pp. 3680-3686; Adler-Golden, S.M., Matthew, M.W., Bernstein, L.S., Levine, R.Y., Berk, A., Richtsmeier, S.C., Acharya, P.K., Hoke, M.L., Atmospheric Correction for Short-wave Spectral Imagery Based on MODTRAN4 (1999) Soc. Photo-Opt. Instrum. Eng, 3753, pp. 61-70; Adeline, K.R.M., Chen, M., Briottet, X., Pang, S.K., Paparoditis, N., Shadow detection in very high spatial resolution aerial images: A comparative study (2013) ISPRS J. Photogramm. Remote Sens, 80, pp. 21-38; Heinz, D.C., Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery (2001) IEEE Trans. Geosci. Remote Sens, 39, pp. 529-545; Caliński, T., Harabasz, J., A dendrite method for cluster analysis (1974) Commun. Stat, 3, pp. 1-27; Asner, G.P., Warner, A.S., Canopy shadow in IKONOS satellite observations of tropical forests and savannas (2003) Remote Sens. Environ, 87, pp. 521-533; Dennison, P.E., Halligan, K.Q., Roberts, D.A., A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper (2004) Remote Sens. Environ, 93, pp. 359-367; Kuusk, A., The Hot Spot Effect in Plant Canopy Reflectance (1991) Photon-Vegetation Interactions: Applications in Optical Remote Sensing and Plant Ecology, pp. 139-159. , Myneni, R.B., Ross, J., Eds.; Springer: Berlin/Heidelberg, Germany; Barbier, N., Proisy, C., Véga, C., Sabatier, D., Couteron, P., Bidirectional texture function of high resolution optical images of tropical forest: An approach using LiDAR hillshade simulations (2011) Remote Sens. Environ, 115, pp. 167-179; Fromard, F., Vega, C., Proisy, C., Half a century of dynamic coastal change affecting mangrove shorelines of French Guiana (2004) A case study based on remote sensing data analyses and field surveys. Mar. Geol, 208, pp. 265-280; Ozdemir, I., Linear transformation to minimize the effects of variability in understory to estimate percent tree canopy cover using RapidEye data (2014) GIS Remote Sens, 51, pp. 288-300; Proisy, C., Féret, J.B., Lauret, N., Gastellu-Etchegorry, J.P., Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing A2-Baghdadi, Nicolas (2016) Land Surface Remote Sensing in Urban and Coastal Areas, pp. 269-295. , Zribi, M., Ed.; Elsevier: Amsterdam, The Netherlands |
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EcoFoG @ webmaster @ |
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861 |
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Grossiord, C.; Christoffersen, B.; Alonso-Rodríguez, A.M.; Anderson-Teixeira, K.; Asbjornsen, H.; Aparecido, L.M.T.; Carter Berry, Z.; Baraloto, C.; Bonal, D.; Borrego, I.; Burban, B.; Chambers, J.Q.; Christianson, D.S.; Detto, M.; Faybishenko, B.; Fontes, C.G.; Fortunel, C.; Gimenez, B.O.; Jardine, K.J.; Kueppers, L.; Miller, G.R.; Moore, G.W.; Negron-Juarez, R.; Stahl, C.; Swenson, N.G.; Trotsiuk, V.; Varadharajan, C.; Warren, J.M.; Wolfe, B.T.; Wei, L.; Wood, T.E.; Xu, C.; McDowell, N.G. |
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Title |
Precipitation mediates sap flux sensitivity to evaporative demand in the neotropics |
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Journal Article |
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Year |
2019 |
Publication |
Oecologia |
Abbreviated Journal |
Oecologia |
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Volume |
191 |
Issue |
3 |
Pages |
519-530 |
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Keywords |
Evapotranspiration; Plant functional traits; Transpiration; Vapor pressure deficit; drought; evapotranspiration; flux measurement; hydrological cycle; Neotropical Region; precipitation (chemistry); precipitation (climatology); tree; tropical forest; tropical region; vapor pressure; water; drought; evapotranspiration; forest; tree; vapor pressure; Droughts; Forests; Plant Transpiration; Trees; Vapor Pressure; Water |
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Transpiration in humid tropical forests modulates the global water cycle and is a key driver of climate regulation. Yet, our understanding of how tropical trees regulate sap flux in response to climate variability remains elusive. With a progressively warming climate, atmospheric evaporative demand [i.e., vapor pressure deficit (VPD)] will be increasingly important for plant functioning, becoming the major control of plant water use in the twenty-first century. Using measurements in 34 tree species at seven sites across a precipitation gradient in the neotropics, we determined how the maximum sap flux velocity (vmax) and the VPD threshold at which vmax is reached (VPDmax) vary with precipitation regime [mean annual precipitation (MAP); seasonal drought intensity (PDRY)] and two functional traits related to foliar and wood economics spectra [leaf mass per area (LMA); wood specific gravity (WSG)]. We show that, even though vmax is highly variable within sites, it follows a negative trend in response to increasing MAP and PDRY across sites. LMA and WSG exerted little effect on vmax and VPDmax, suggesting that these widely used functional traits provide limited explanatory power of dynamic plant responses to environmental variation within hyper-diverse forests. This study demonstrates that long-term precipitation plays an important role in the sap flux response of humid tropical forests to VPD. Our findings suggest that under higher evaporative demand, trees growing in wetter environments in humid tropical regions may be subjected to reduced water exchange with the atmosphere relative to trees growing in drier climates. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. |
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Earth Systems Science Division, Pacific Northwest National Laboratory, Richland, WA, United States |
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Springer Verlag |
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00298549 (Issn) |
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EcoFoG @ webmaster @ |
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904 |
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Honorio Coronado, E.N.; Blanc-Jolivet, C.; Mader, M.; García-Dávila, C.R.; Sebbenn, A.M.; Meyer-Sand, B.R.V.; Paredes-Villanueva, K.; Tysklind, N.; Troispoux, V.; Massot, M.; Degen, B. |
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Title |
Development of nuclear and plastid SNP markers for genetic studies of Dipteryx tree species in Amazonia |
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Journal Article |
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Year |
2019 |
Publication |
Conservation Genetics Resources |
Abbreviated Journal |
Conserv. Genet. Res. |
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11 |
Issue |
3 |
Pages |
333-336 |
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We developed nuclear and plastid single nucleotide polymorphism (SNP) and insertion/deletion (INDEL) markers for Dipteryx species using a combination of restriction associated DNA sequencing (RADSeq) and low coverage MiSeq genome sequencing. Of the total 315 loci genotyped using a MassARRAY platform, 292 loci were variable and polymorphic among the 73 sampled individuals from French Guiana, Brasil, Peru, and Bolivia. A final set of 56 nuclear SNPs, 26 chloroplast SNPs, 2 chloroplast INDELs, and 32 mitochondrial SNPs identifying significant population structure was developed. This set of loci will be useful for studies on population genetics of Dipteryx species in Amazonia. |
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1877-7260 |
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EcoFoG @ webmaster @ Honorio Coronado2019 |
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906 |
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Sebbenn, A.M.; Blanc-Jolivet, C.; Mader, M.; Meyer-Sand, B.R.V.; Paredes-Villanueva, K.; Honorio Coronado, E.N.; García-Dávila, C.; Tysklind, N.; Troispoux, V.; Delcamp, A.; Degen, B. |
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Title |
Nuclear and plastidial SNP and INDEL markers for genetic tracking studies of Jacaranda copaia |
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Journal Article |
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Year |
2019 |
Publication |
Conservation Genetics Resources |
Abbreviated Journal |
Conserv. Gen. Res. |
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Volume |
11 |
Issue |
3 |
Pages |
341-343 |
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DNA fingerprints; Geographical origin; Jacaranda copaia; MassARRAY; MiSeq; RADSeq; Tropical timber |
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Abstract |
Nuclear and plastidial single nucleotide polymorphism (SNP) and INDEL markers were developed using restriction associated DNA sequencing (RADSeq) and low coverage MiSeq genome sequencing for population genetics and timber tracking purposes in the Neotropical timber species Jacaranda copaia. We used 407 nuclear SNPs, 29 chloroplast, and 31 mitochondrial loci to genotype 92 individuals from Brazil, Bolivia, French Guiana, and Peru. Based on high amplification rates and genetic differentiation among populations, 113 nuclear SNPs, 11 chloroplast, and 4 mitochondrial loci were selected, and their use validated for genetic tracking of timber origin. |
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BIOGECO, INRA, Univ. Bordeaux, Cestas, 33610, France |
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Springer Netherlands |
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18777252 (Issn) |
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EcoFoG @ webmaster @ |
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907 |
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Chaves, C.L.; Blanc-Jolivet, C.; Sebbenn, A.M.; Mader, M.; Meyer-Sand, B.R.V.; Paredes-Villanueva, K.; Honorio Coronado, E.N.; Garcia-Davila, C.; Tysklind, N.; Troispoux, V.; Massot, M.; Degen, B. |
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Title |
Nuclear and chloroplastic SNP markers for genetic studies of timber origin for Hymenaea trees |
Type |
Journal Article |
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Year |
2019 |
Publication |
Conservation Genetics Resources |
Abbreviated Journal |
Conserv. Gen. Res. |
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Volume |
11 |
Issue |
3 |
Pages |
329-331 |
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DNA fingerprints; Geographical origin; MiSeq; RADSeq |
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We developed nuclear and chloroplastic single nucleotide polymorphism (SNP) and INDEL (insertion/deletion) markers using restriction associated DNA sequencing (RADSeq) and low coverage MiSeq genome sequencing to set up a genetic tracking method of the geographical origin of Hymenaea sp. From two initial sets of 358 and 32 loci used to genotype at least 94 individuals, a final set of 75 nSNPs, 50 cpSNPs and 6 INDELs identifying significant population structure was developed. © 2018, Springer Nature B.V. |
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Departamento de Fitotecnia, Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Paulista, Ilha Solteira, SP, Brazil |
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Springer Netherlands |
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18777252 (Issn) |
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no |
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EcoFoG @ webmaster @ |
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908 |
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Tysklind, N.; Blanc-Jolivet, C.; Mader, M.; Meyer-Sand, B.R.V.; Paredes-Villanueva, K.; Honorio Coronado, E.N.; García-Dávila, C.R.; Sebbenn, A.M.; Caron, H.; Troispoux, V.; Guichoux, E.; Degen, B. |
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Title |
Development of nuclear and plastid SNP and INDEL markers for population genetic studies and timber traceability of Carapa species |
Type |
Journal Article |
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Year |
2019 |
Publication |
Conservation Genetics Resources |
Abbreviated Journal |
Conserv. Gen. Res. |
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Volume |
11 |
Issue |
3 |
Pages |
337-339 |
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Carapa guianensis; Carapa surinamensis; DNA-fingerprints; Geographical origin; MassARRAY; MiSeq; RADSeq; Tropical timber |
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Low coverage MiSeq genome sequencing and restriction associated DNA sequencing (RADseq) were used to identify nuclear and plastid SNP and INDEL genetic markers in Carapa guianensis. 261 genetic markers including 237 nuclear SNPs, 22 plastid SNPs, and 2 plastid INDELs are described based on 96 genotyped individuals from French Guiana, Brazil, Peru, and Bolivia. The best 117 SNPs for identifying population structure and performing individual assignment are assembled into four multiplexes for MassARRAY genotyping. |
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BIOGECO, INRA, University Bordeaux, Cestas, 33610, France |
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Springer Netherlands |
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18777252 (Issn) |
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EcoFoG @ webmaster @ |
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909 |
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Marcon, E. |
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Title |
Entropy as a common measure of biodiversity and the spatial structure of economic activity |
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Journal Article |
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2019 |
Publication |
Revue Economique |
Abbreviated Journal |
Rev. Econ. |
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Volume |
70 |
Issue |
3 |
Pages |
305-326 |
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Diversity; Economic geography; Spatial concentration; Specialization |
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Measures of spatial concentration and specialization in economics are similar to those of biodiversity and ubiquity of species in ecology. Entropy is the fundamental tool that originated in statistical physics and information theory. The definition of number equivalents or effective numbers, that is the number of types in an ideal, simplified distribution, is introduced along with the partitioning of the joint diversity of a bi-dimensional distribution into absolute and relative concentration or specialization and replication. The whole framework is theoretically robust and allows measuring the spatial structure of a discrete space. |
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AgroParisTech, UMR Écologie des forêts de Guyane, CNRS, Cirad, INRA, Université des Antilles, Université de Guyane, Campus Agronomique, BP 701, Kourou, 97310, French Guiana |
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Presses de Sciences Po |
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00352764 (Issn) |
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EcoFoG @ webmaster @ |
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912 |
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