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Aili, S.R.; Touchard, A.; Hayward, R.; Robinson, S.D.; Pineda, S.S.; Lalagüe, H.; Mrinalini; Vetter, I.; Undheim, E.A.B.; Kini, R.M.; Escoubas, P.; Padula, M.P.; Myers, G.S.A.; Nicholson, G.M. |
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An integrated proteomic and transcriptomic analysis reveals the venom complexity of the bullet ant Paraponera clavata |
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2020 |
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Toxins |
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Toxins |
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12 |
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5 |
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DRG neurons; Hyaluronidase; Neurotoxins; Paraponeritoxin; Phospholipases; Rp-Hplc; alpha latrotoxin; ant venom; arginine kinase; cathepsin; contig; defensin 2; hyaluronidase; icarapin; metalloproteinase; neurotoxin; novel toxin like protein; phospholipase; phospholipase A2; poneratoxin; proteome; serine proteinase; transcriptome; unclassified drug; amino acid sequence; ant; Article; liquid chromatography-mass spectrometry; neurotoxicity; nonhuman; Paraponera clavata; protein expression; proteomics; sequence database; tandem mass spectrometry; transcriptomics; venom gland |
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A critical hurdle in ant venom proteomic investigations is the lack of databases to comprehensively and specifically identify the sequence and function of venom proteins and peptides. To resolve this, we used venom gland transcriptomics to generate a sequence database that was used to assign the tandem mass spectrometry (MS) fragmentation spectra of venom peptides and proteins to specific transcripts. This was performed alongside a shotgun liquid chromatography-mass spectrometry (LC-MS/MS) analysis of the venom to confirm that these assigned transcripts were expressed as proteins. Through the combined transcriptomic and proteomic investigation of Paraponera clavata venom, we identified four times the number of proteins previously identified using 2D-PAGE alone. In addition to this, by mining the transcriptomic data, we identified several novel peptide sequences for future pharmacological investigations, some of which conform with inhibitor cysteine knot motifs. These types of peptides have the potential to be developed into pharmaceutical or bioinsecticide peptides. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
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Faculty of Science, University of Nice, Nice, 06000, France |
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EcoFoG @ webmaster @ |
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972 |
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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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Year |
2019 |
Publication |
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. 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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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Laybros, A.; Aubry-Kientz, M.; Féret, J.-B.; Bedeau, C.; Brunaux, O.; Derroire, G.; Vincent, G. |
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Quantitative airborne inventories in dense tropical forest using imaging spectroscopy |
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Journal Article |
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2020 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sens. |
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12 |
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10 |
Pages |
1577 |
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Hyperspectral; LiDAR; Species diversity; Tropical forest; Cost effectiveness; Discriminant analysis; Infrared devices; Infrared radiation; Logistic regression; Remote sensing; Tropics; Classification accuracy; Classification performance; Linear discriminant analysis; Operational applications; Regularized discriminant analysis; Remote sensing technology; Short wave infrared bands; Visible and near infrared; Forestry |
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Tropical forests have exceptional floristic diversity, but their characterization remains incomplete, in part due to the resource intensity of in-situ assessments. Remote sensing technologies can provide valuable, cost-effective, large-scale insights. This study investigates the combined use of airborne LiDAR and imaging spectroscopy to map tree species at landscape scale in French Guiana. Binary classifiers were developed for each of 20 species using linear discriminant analysis (LDA), regularized discriminant analysis (RDA) and logistic regression (LR). Complementing visible and near infrared (VNIR) spectral bands with short wave infrared (SWIR) bands improved the mean average classification accuracy of the target species from 56.1% to 79.6%. Increasing the number of non-focal species decreased the success rate of target species identification. Classification performance was not significantly affected by impurity rates (confusion between assigned classes) in the non-focal class (up to 5% of bias), provided that an adequate criterion was used for adjusting threshold probability assignment. A limited number of crowns (30 crowns) in each species class was sufficient to retrieve correct labels effectively. Overall canopy area of target species was strongly correlated to their basal area over 118 ha at 1.5 ha resolution, indicating that operational application of the method is a realistic prospect (R2 = 0.75 for six major commercial tree species). © 2020 by the authors. |
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Cirad, UMR EcoFoG (AgroParistech, CNRS, INRAE, Université des Antilles, Université de la Guyane), Kourou, French Guiana, 97379, France |
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Pastorello, G.; Trotta, C.; Canfora, E.; Chu, H.; Christianson, D.; Cheah, Y.-W.; Poindexter, C.; Chen, J.; Elbashandy, A.; Humphrey, M.; Isaac, P.; Polidori, D.; Ribeca, A.; van Ingen, C.; Zhang, L.; Amiro, B.; Ammann, C.; Arain, M.A.; Ardö, J.; Arkebauer, T.; Arndt, S.K.; Arriga, N.; Aubinet, M.; Aurela, M.; Baldocchi, D.; Barr, A.; Beamesderfer, E.; Marchesini, L.B.; Bergeron, O.; Beringer, J.; Bernhofer, C.; Berveiller, D.; Billesbach, D.; Black, T.A.; Blanken, P.D.; Bohrer, G.; Boike, J.; Bolstad, P.V.; Bonal, D.; Bonnefond, J.-M.; Bowling, D.R.; Bracho, R.; Brodeur, J.; Brümmer, C.; Buchmann, N.; Burban, B.; Burns, S.P.; Buysse, P.; Cale, P.; Cavagna, M.; Cellier, P.; Chen, S.; Chini, I.; Christensen, T.R.; Cleverly, J.; Collalti, A.; Consalvo, C.; Cook, B.D.; Cook, D.; Coursolle, C.; Cremonese, E.; Curtis, P.S.; D'Andrea, E.; da Rocha, H.; Dai, X.; Davis, K.J.; De Cinti, B.; de Grandcourt, A.; De Ligne, A.; De Oliveira, R.C.; Delpierre, N.; Desai, A.R.; Di Bella, C.M.; di Tommasi, P.; Dolman, H.; Domingo, F.; Dong, G.; Dore, S.; Duce, P.; Dufrêne, E.; Dunn, A.; Dušek, J.; Eamus, D.; Eichelmann, U.; ElKhidir, H.A.M.; Eugster, W.; Ewenz, C.M.; Ewers, B.; Famulari, D.; Fares, S.; Feigenwinter, I.; Feitz, A.; Fensholt, R.; Filippa, G.; Fischer, M.; Frank, J.; Galvagno, M.; Gharun, M.; Gianelle, D.; Gielen, B.; Gioli, B.; Gitelson, A.; Goded, I.; Goeckede, M.; Goldstein, A.H.; Gough, C.M.; Goulden, M.L.; Graf, A.; Griebel, A.; Gruening, C.; Grünwald, T.; Hammerle, A.; Han, S.; Han, X.; Hansen, B.U.; Hanson, C.; Hatakka, J.; He, Y.; Hehn, M.; Heinesch, B.; Hinko-Najera, N.; Hörtnagl, L.; Hutley, L.; Ibrom, A.; Ikawa, H.; Jackowicz-Korczynski, M.; Janouš, D.; Jans, W.; Jassal, R.; Jiang, S.; Kato, T.; Khomik, M.; Klatt, J.; Knohl, A.; Knox, S.; Kobayashi, H.; Koerber, G.; Kolle, O.; Kosugi, Y.; Kotani, A.; Kowalski, A.; Kruijt, B.; Kurbatova, J.; Kutsch, W.L.; Kwon, H.; Launiainen, S.; Laurila, T.; Law, B.; Leuning, R.; Li, Y.; Liddell, M.; Limousin, J.-M.; Lion, M.; Liska, A.J.; Lohila, A.; López-Ballesteros, A.; López-Blanco, E.; Loubet, B.; Loustau, D.; Lucas-Moffat, A.; Lüers, J.; Ma, S.; Macfarlane, C.; Magliulo, V.; Maier, R.; Mammarella, I.; Manca, G.; Marcolla, B.; Margolis, H.A.; Marras, S.; Massman, W.; Mastepanov, M.; Matamala, R.; Matthes, J.H.; Mazzenga, F.; McCaughey, H.; McHugh, I.; McMillan, A.M.S.; Merbold, L.; Meyer, W.; Meyers, T.; Miller, S.D.; Minerbi, S.; Moderow, U.; Monson, R.K.; Montagnani, L.; Moore, C.E.; Moors, E.; Moreaux, V.; Moureaux, C.; Munger, J.W.; Nakai, T.; Neirynck, J.; Nesic, Z.; Nicolini, G.; Noormets, A.; Northwood, M.; Nosetto, M.; Nouvellon, Y.; Novick, K.; Oechel, W.; Olesen, J.E.; Ourcival, J.-M.; Papuga, S.A.; Parmentier, F.-J.; Paul-Limoges, E.; Pavelka, M.; Peichl, M.; Pendall, E.; Phillips, R.P.; Pilegaard, K.; Pirk, N.; Posse, G.; Powell, T.; Prasse, H.; Prober, S.M.; Rambal, S.; Rannik, Ü.; Raz-Yaseef, N.; Reed, D.; de Dios, V.R.; Restrepo-Coupe, N.; Reverter, B.R.; Roland, M.; Sabbatini, S.; Sachs, T.; Saleska, S.R.; Sánchez-Cañete, E.P.; Sanchez-Mejia, Z.M.; Schmid, H.P.; Schmidt, M.; Schneider, K.; Schrader, F.; Schroder, I.; Scott, R.L.; Sedlák, P.; Serrano-Ortíz, P.; Shao, C.; Shi, P.; Shironya, I.; Siebicke, L.; Šigut, L.; Silberstein, R.; Sirca, C.; Spano, D.; Steinbrecher, R.; Stevens, R.M.; Sturtevant, C.; Suyker, A.; Tagesson, T.; Takanashi, S.; Tang, Y.; Tapper, N.; Thom, J.; Tiedemann, F.; Tomassucci, M.; Tuovinen, J.-P.; Urbanski, S.; Valentini, R.; van der Molen, M.; van Gorsel, E.; van Huissteden, K.; Varlagin, A.; Verfaillie, J.; Vesala, T.; Vincke, C.; Vitale, D.; Vygodskaya, N.; Walker, J.P.; Walter-Shea, E.; Wang, H.; Weber, R.; Westermann, S.; Wille, C.; Wofsy, S.; Wohlfahrt, G.; Wolf, S.; Woodgate, W.; Li, Y.; Zampedri, R.; Zhang, J.; Zhou, G.; Zona, D.; Agarwal, D.; Biraud, S.; Torn, M.; Papale, D. |
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Title |
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data |
Type |
Journal Article |
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Year |
2020 |
Publication |
Scientific data |
Abbreviated Journal |
Sci Data |
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Volume |
7 |
Issue |
1 |
Pages |
225 |
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Keywords |
article; breathing; ecophysiology; ecosystem; Eddy covariance; licence; metadata; photosynthesis; pipeline; remote sensing; time series analysis; uncertainty |
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Abstract |
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible. |
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Address |
Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy |
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NLM (Medline) |
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20524463 (Issn) |
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EcoFoG @ webmaster @ |
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958 |
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Author |
Piponiot, C.; Sist, P.; Mazzei, L.; Peña-Claros, M.; Putz, F.E.; Rutishauser, E.; Shenkin, A.; Ascarrunz, N.; de Azevedo, C.P.; Baraloto, C.; França, M.; Guedes, M.; Honorio Coronado, E.N.; d'Oliveira, M.V.N.; Ruschel, A.R.; da Silva, K.E.; Doff Sotta, E.; de Souza, C.R.; Vidal, E.; West, T.A.P.; Herault, B. |
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Title |
Carbon recovery dynamics following disturbance by selective logging in Amazonian forests |
Type |
Journal Article |
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Year |
2016 |
Publication |
eLife |
Abbreviated Journal |
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Volume |
5 |
Issue |
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Pages |
e21394 |
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Abstract |
When 2 Mha of Amazonian forests are disturbed by selective logging each year, more than 90 Tg of carbon (C) is emitted to the atmosphere. Emissions are then counterbalanced by forest regrowth. With an original modelling approach, calibrated on a network of 133 permanent forest plots (175 ha total) across Amazonia, we link regional differences in climate, soil and initial biomass with survivors' and recruits' C fluxes to provide Amazon-wide predictions of post-logging C recovery. We show that net aboveground C recovery over 10 years is higher in the Guiana Shield and in the west (21{plus minus}3 MgC ha-1) than in the south (12{plus minus}3 MgC ha-1) where environmental stress is high (low rainfall, high seasonality). We highlight the key role of survivors in the forest regrowth and elaborate a comprehensive map of post-disturbance C recovery potential in Amazonia. |
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eLife Sciences Publications, Ltd |
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Editor |
Trumbore, S. |
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ISSN |
2050-084x |
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no |
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EcoFoG @ webmaster @ |
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702 |
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Author |
Gao, H.; Grüschow, S.; Barke, J.; Seipke, R.F.; Hill, L.M.; Orivel, J.; Yu, D.W.; Hutchings, M.; Goss, R.J.M. |
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Title |
Filipins: The first antifungal “weed killers” identified from bacteria isolated from the trap-ant |
Type |
Journal Article |
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Year |
2014 |
Publication |
RSC Advances |
Abbreviated Journal |
RSC Adv. |
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Volume |
4 |
Issue |
100 |
Pages |
57267-57270 |
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Keywords |
Anti-fungal |
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Abstract |
Allomerus ants ensure that they have sufficient nitrogen in their diet by trapping and consuming other insects. In order to construct their traps, like the more extensively studied leaf cutter ants, they employ fungal farming. Pest management within these fungal cultures has been speculated to be due to the ants' usage of actinomycetes capable of producing antifungal compounds, analogous to the leafcutter ant mutualism. Here we report the first identification of a series of antifungal compounds, the filipins, and their associated biosynthetic genes isolated from a bacterium associated with this system. |
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Address |
State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of ZoologyKunming, Yunnan, China |
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Royal Society of Chemistry |
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20462069 (Issn) |
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Notes |
Export Date: 20 November 2014; Coden: Rscac; Correspondence Address: Goss, R.J.M.; School of Chemistry, University of St. AndrewsUnited Kingdom; Funding Details: 311848, EC, European Commission |
Approved |
no |
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Call Number |
EcoFoG @ webmaster @ |
Serial |
567 |
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Author |
Caron, H.; Molino, J.-F.; Sabatier, D.; Léger, P.; Chaumeil, P.; Scotti-Saintagne, C.; Frigério, J.-M.; Scotti, I.; Franc, A.; Petit, R.J. |
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Title |
Chloroplast DNA variation in a hyperdiverse tropical tree community |
Type |
Journal Article |
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Year |
2019 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
Ecology and Evolution |
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Volume |
9 |
Issue |
8 |
Pages |
4897-4905 |
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Keywords |
chloroplast DNA; DNA barcoding; genetic diversity; hybridization; incomplete lineage sorting; introgression; species diversity; tropical trees |
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Abstract |
We investigate chloroplast DNA variation in a hyperdiverse community of tropical rainforest trees in French Guiana, focusing on patterns of intraspecific and interspecific variation. We test whether a species genetic diversity is higher when it has congeners in the community with which it can exchange genes and if shared haplotypes are more frequent in genetically diverse species, as expected in the presence of introgression. We sampled a total of 1,681 individual trees from 472 species corresponding to 198 genera and sequenced them at a noncoding chloroplast DNA fragment. Polymorphism was more frequent in species that have congeneric species in the study site than in those without congeners (30% vs. 12%). Moreover, more chloroplast haplotypes were shared with congeners in polymorphic species than in monomorphic ones (44% vs. 28%). Despite large heterogeneities caused by genus-specific behaviors in patterns of hybridization, these results suggest that the higher polymorphism in the presence of congeners is caused by local introgression rather than by incomplete lineage sorting. Our findings suggest that introgression has the potential to drive intraspecific genetic diversity in species-rich tropical forests. |
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Address |
INRA, UR629 Ecologie des Forêts Méditerranéennes, URFM, Avignon, France |
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John Wiley and Sons Ltd |
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ISSN |
20457758 (Issn) |
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no |
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Call Number |
EcoFoG @ webmaster @ |
Serial |
870 |
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Author |
Hartke, J.; Sprenger, P.P.; Sahm, J.; Winterberg, H.; Orivel, J.; Baur, H.; Beuerle, T.; Schmitt, T.; Feldmeyer, B.; Menzel, F. |
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Title |
Cuticular hydrocarbons as potential mediators of cryptic species divergence in a mutualistic ant association |
Type |
Journal Article |
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Year |
2019 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
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Volume |
9 |
Issue |
16 |
Pages |
9160-9176 |
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Keywords |
environmental association; integrative taxonomy; niche differentiation; population structure; sexual selection; speciation |
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Abstract |
Upon advances in sequencing techniques, more and more morphologically identical organisms are identified as cryptic species. Often, mutualistic interactions are proposed as drivers of diversification. Species of the neotropical parabiotic ant association between Crematogaster levior and Camponotus femoratus are known for highly diverse cuticular hydrocarbon (CHC) profiles, which in insects serve as desiccation barrier but also as communication cues. In the present study, we investigated the association of the ants’ CHC profiles with genotypes and morphological traits, and discovered cryptic species pairs in both genera. To assess putative niche differentiation between the cryptic species, we conducted an environmental association study that included various climate variables, canopy cover, and mutualistic plant species. Although mostly sympatric, the two Camponotus species seem to prefer different climate niches. However in the two Crematogaster species, we could not detect any differences in niche preference. The strong differentiation in the CHC profiles may thus suggest a possible role during speciation itself either by inducing assortative mating or by reinforcing sexual selection after the speciation event. We did not detect any further niche differences in the environmental parameters tested. Thus, it remains open how the cryptic species avoid competitive exclusion, with scope for further investigations. © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. |
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Address |
Department of Evolutionary Animal Ecology, University of Bayreuth, Bayreuth, Germany |
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John Wiley and Sons Ltd |
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20457758 (Issn) |
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Notes |
Export Date: 2 September 2019; Correspondence Address: Hartke, J.; Senckenberg Biodiversity and Climate Research CentreGermany; email: Juliane.Hartke@senckenberg.de; Funding details: Leibniz-Gemeinschaft; Funding details: Agence Nationale de la Recherche, Not Available; Funding details: Deutsche Forschungsgemeinschaft, DFG, ME 3842/5‐1; Funding text 1: We thank Philippe Cerdan and Aurelie Dourdain for research permissions in the Hydreco Lab Petit Saut and the Paracou Research Station, respectively. Similarly, we thank Patrick Châtelet, Philippe Gaucher, and Dorothée Deslignes for permission to sample in the Les Nouragues Reserve. Further on, we thank Heike Stypa for supporting us in preparing the chemical samples. We thank Aidin Niamir for his helpful advice regarding climate data analysis. Financial support for this study was provided by the German Science Foundation (DFG) as a grant to Barbara Feldmeyer (FE 1333/7‐1), Thomas Schmitt (SCHM 2645/7‐1), and Florian Menzel (ME 3842/5‐1) and a grant managed by the French Agence Nationale de la Recherche (CEBA, ref. ANR‐10‐LABX‐25‐01) to Jérôme Orivel. The publication of this article was funded by the Open Access Fund of the Leibniz Association. Finally, we thank Markus Pfenninger and two anonymous reviewers for providing helpful comments on an earlier version of this manuscript.; References: Adler, P.B., HilleRisLambers, J., Levine, J.M., A niche for neutrality (2007) Ecology Letters, 10, pp. 95-104. , https://doi.org/10.1111/j.1461-0248.2006.00996.x; Aitchison, J., The statistical analysis of compositional data (1982) Journal of the Royal Statistical Society: Series B (Methodological), 44, pp. 139-177. , https://doi.org/10.1111/j.2517-6161.1982.tb01195.x; Andersson, M., Sexual selection, natural selection and quality advertisement (1982) Biological Journal of the Linnean Society, 17, pp. 375-393. , https://doi.org/10.1111/j.1095-8312.1982.tb02028.x; Bartlett, J.W., Frost, C., Reliability, repeatability and reproducibility: Analysis of measurement errors in continuous variables (2008) Ultrasound in Obstetrics and Gynecology, 31, pp. 466-475. , https://doi.org/10.1002/uog.5256; Baur, H., Kranz-Baltensperger, Y., Cruaud, A., Rasplus, J.Y., Timokhov, A.V., Gokhman, V.E., Morphometric analysis and taxonomic revision of Anisopteromalus Ruschka (Hymenoptera: Chalcidoidea: Pteromalidae) – An integrative approach (2014) Systematic Entomology, 39, pp. 691-709; Baur, H., Leuenberger, C., Analysis of ratios in multivariate morphometry (2011) Systematic Biology, 60, pp. 813-825. , https://doi.org/10.1093/sysbio/syr061; Bell, G., The distribution of abundance in neutral communities (2017) The American Naturalist, 155, p. 606. , https://doi.org/10.2307/3078983; Bickford, D., Lohman, D.J., Sodhi, N.S., Ng, P.K.L., Meier, R., Winker, K., Das, I., Cryptic species as a window on diversity and conservation (2007) Trends in Ecology & Evolution, 22, pp. 148-155. , https://doi.org/10.1016/j.tree.2006.11.004; Blomberg, S.P., Garland, T., Ives, A.R., Testing for phylogenetic signal in comparative data: Behavioral traits are more labile (2003) Evolution, 57, pp. 717-745; Blomquist, G.J., Structure and analysis of insect hydrocarbons (2010) Insect hydrocarbons: Biology, biochemistry, and chemical ecology, pp. 19-34. , G. J. Blomquist, A.-G. Bagnères, (Eds.),, New York, NY, Cambridge University Press; Blomquist, G.J., Bagnères, A.-G., Introduction: History and overview of insect hydrocarbons (2010) Insect hydrocarbons: Biology, biochemistry, and chemical ecology, pp. 3-18. , G. J. Blomquist, A.-G. 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Tysklind, N.; Etienne, M.-P.; Scotti-Saintagne, C.; Tinaut, A.; Casalis, M.; Troispoux, V.; Cazal, S.-O.; Brousseau, L.; Ferry, B.; Scotti, I. |
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Microgeographic local adaptation and ecotype distributions: The role of selective processes on early life-history traits in sympatric, ecologically divergent Symphonia populations |
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2020 |
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Ecology and Evolution |
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Ecology and Evolution |
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10 |
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19 |
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10735-10753 |
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determinants of plant community diversity and structure; evolutionary ecology; landscape ecology; local adaptation; Neotropical forest; plant development and life-history traits; reciprocal transplantation experiments; Symphonia |
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Trees are characterized by the large number of seeds they produce. Although most of those seeds will never germinate, plenty will. Of those which germinate, many die young, and eventually, only a minute fraction will grow to adult stage and reproduce. Is this just a random process? Do variations in germination and survival at very young stages rely on variations in adaptations to microgeographic heterogeneity? and do these processes matter at all in determining tree species distribution and abundance?. We have studied these questions with the Neotropical Symphonia tree species. In the Guiana shield, Symphonia are represented by at least two sympatric taxa or ecotypes, Symphonia globulifera found almost exclusively in bottomlands, and a yet undescribed more generalist taxon/ecotype, Symphonia sp1. A reciprocal transplantation experiment (510 seeds, 16 conditions) was set up and followed over the course of 6 years to evaluate the survival and performance of individuals from different ecotypes and provenances. Germination, survival, growth, and herbivory showed signs of local adaptation, with some combinations of ecotypes and provenances growing faster and surviving better in their own habitat or provenance region. S. globulifera was strongly penalized when planted outside its home habitat but showed the fastest growth rates when planted in its home habitat, suggesting it is a specialist of a high-risk high-gain strategy. Conversely, S. sp1 behaved as a generalist, performing well in a variety of environments. The differential performance of seeds and seedlings in the different habitats matches the known distribution of both ecotypes, indicating that environmental filtering at the very early stages can be a key determinant of tree species distributions, even at the microgeographic level and among very closely related taxa. Furthermore, such differential performance also contributes to explain, in part, the maintenance of the different Symphonia ecotypes living in intimate sympatry despite occasional gene flow. © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd |
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UMR AMAP, IRD, Cirad, CNRS, INRAE, Université Montpellier, Montpellier, France |
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Binelli, G.; Montaigne, W.; Sabatier, D.; Scotti-Saintagne, C.; Scotti, I. |
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Discrepancies between genetic and ecological divergence patterns suggest a complex biogeographic history in a Neotropical genus |
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Journal Article |
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2020 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
Ecology and Evolution |
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10 |
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11 |
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4726-4738 |
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allopatric divergence; Amazon; Guiana Shield; interspecific gene flow; Myristicaceae; secondary contact; Virola |
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Phylogenetic patterns and the underlying speciation processes can be deduced from morphological, functional, and ecological patterns of species similarity and divergence. In some cases, though, species retain multiple similarities and remain almost indistinguishable; in other cases, evolutionary convergence can make such patterns misleading; very often in such cases, the “true” picture only emerges from carefully built molecular phylogenies, which may come with major surprises. In addition, closely related species may experience gene flow after divergence, thus potentially blurring species delimitation. By means of advanced inferential methods, we studied molecular divergence between species of the Virola genus (Myristicaceae): widespread Virola michelii and recently described, endemic V. kwatae, using widespread V. surinamensis as a more distantly related outgroup with different ecology and morphology—although with overlapping range. Contrary to expectations, we found that the latter, and not V. michelii, was sister to V. kwatae. Therefore, V. kwatae probably diverged from V. surinamensis through a recent morphological and ecological shift, which brought it close to distantly related V. michelii. Through the modeling of the divergence process, we inferred that gene flow between V. surinamensis and V. kwatae stopped soon after their divergence and resumed later, in a classical secondary contact event which did not erase their ecological and morphological differences. While we cannot exclude that initial divergence occurred in allopatry, current species distribution and the absence of geographical barriers make complete isolation during speciation unlikely. We tentatively conclude that (a) it is possible that divergence occurred in allopatry/parapatry and (b) secondary contact did not suppress divergence. © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. |
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INRAE, URFM, Avignon, France |
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John Wiley and Sons Ltd |
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963 |
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