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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. 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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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Van Langenhove, L.; Depaepe, T.; Vicca, S.; van den Berge, J.; Stahl, C.; Courtois, E.; Weedon, J.; Urbina, I.; Grau, O.; Asensio, D.; Peñuelas, J.; Boeckx, P.; Richter, A.; Van Der Straeten, D.; Janssens, I.A. |
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Regulation of nitrogen fixation from free-living organisms in soil and leaf litter of two tropical forests of the Guiana shield |
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2019 |
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Plant and Soil |
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Plant Soil |
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Free-living nitrogen fixation; French Guiana; Molybdenum; Nutrients; Phosphorus; Tropical forest |
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Background and aims: Biological fixation of atmospheric nitrogen (N 2 ) is the main pathway for introducing N into unmanaged ecosystems. While recent estimates suggest that free-living N fixation (FLNF) accounts for the majority of N fixed in mature tropical forests, the controls governing this process are not completely understood. The aim of this study was to quantify FLNF rates and determine its drivers in two tropical pristine forests of French Guiana. Methods: We used the acetylene reduction assay to measure FLNF rates at two sites, in two seasons and along three topographical positions, and used regression analyses to identify which edaphic explanatory variables, including carbon (C), nitrogen (N), phosphorus (P) and molybdenum (Mo) content, pH, water and available N and P, explained most of the variation in FLNF rates. Results: Overall, FLNF rates were lower than measured in tropical systems elsewhere. In soils seasonal variability was small and FLNF rates differed among topographies at only one site. Water, P and pH explained 24% of the variation. In leaf litter, FLNF rates differed seasonally, without site or topographical differences. Water, C, N and P explained 46% of the observed variation. We found no regulatory role of Mo at our sites. Conclusions: Rates of FLNF were low in primary rainforest on poor soils on the Guiana shield. Water was the most important rate-regulating factor and FLNF increased with increasing P, but decreased with increasing N. Our results support the general assumption that N fixation in tropical lowland forests is limited by P availability. © 2019, The Author(s). |
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Department of Microbiology and Ecosystem Science, University of Vienna, Althanstr. 14, Vienna, 1090, Austria |
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Springer International Publishing |
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EcoFoG @ webmaster @ |
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868 |
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Piponiot, C.; Rödig, E.; Putz, F.E.; Rutishauser, E.; Sist, P.; Ascarrunz, N.; Blanc, L.; Derroire, G.; Descroix, L.; Guedes, M.C.; Coronado, E.H.; Huth, A.; Kanashiro, M.; Licona, J.C.; Mazzei, L.; d’Oliveira, M.V.N.; Peña-Claros, M.; Rodney, K.; Shenkin, A.; de Souza, C.R.; Vidal, E.; West, T.A.P.; Wortel, V.; Herault, B. |
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Can timber provision from Amazonian production forests be sustainable? |
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2019 |
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Environmental Research Letters |
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Environmental Research Letters |
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14 |
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064014 |
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Around 30 Mm3 of sawlogs are extracted annually by selective logging of natural production forests in Amazonia, Earth’s most extensive tropical forest. Decisions concerning the management of these production forests will be of major importance for Amazonian forests’ fate. To date, no regional assessment of selective logging sustainability supports decision-making. Based on data from 3500 ha of forest inventory plots, our modelling results show that the average periodic harvests of 20 m3 ha−1 will not recover by the end of a standard 30 year cutting cycle. Timber recovery within a cutting cycle is enhanced by commercial acceptance of more species and with the adoption of longer cutting cycles and lower logging intensities. Recovery rates are faster in Western Amazonia than on the Guiana Shield. Our simulations suggest that regardless of cutting cycle duration and logging intensities, selectively logged forests are unlikely to meet timber demands over the long term as timber stocks are predicted to steadily decline. There is thus an urgent need to develop an integrated forest resource management policy that combines active management of production forests with the restoration of degraded and secondary forests for timber production. Without better management, reduced timber harvests and continued timber production declines are unavoidable. |
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IOP Publishing |
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Rodrigues, A.M.S.; Eparvier, V.; Odonne, G.; Amusant, N.; Stien, D.; Houël, E. |
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The antifungal potential of (Z)-ligustilide and the protective effect of eugenol demonstrated by a chemometric approach |
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2019 |
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Scientific Reports |
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Mankind is on the verge of a postantibiotic era. New concepts are needed in our battle to attenuate infectious diseases around the world and broad spectrum plant-inspired synergistic pharmaceutical preparations should find their place in the global fight against pathogenic microorganisms. To progress towards the discovery of potent antifungal agents against human pathologies, we embarked upon developing chemometric approach coupled with statistical design to unravel the origin of the anticandidal potential of a set of 66 essential oils (EOs). EOs were analyzed by GC-MS and tested against Candida albicans and C. parapsilosis (Minimal Inhibitory Concentration, MIC). An Orthogonal Partial Least Square (OPLS) analysis allowed us to identify six molecules presumably responsible for the anticandidal activity of the oils: (Z)-ligustilide, eugenol, eugenyl acetate, citral, thymol, and β-citronellol. These compounds were combined following a full factorial experimental design approach in order to optimize the anticandidal activity and selectivity index (SI = IC50(MRC5 cells)/MIC) through reconstituted mixtures. (Z)-Ligustilide and citral were the most active compounds, while (Z)-ligustilide and eugenol were the two main factors that most contributed to the increase of the SI. These two terpenes can, therefore, be used to construct bioinspired synergistic anticandidal mixtures. © 2019, The Author(s). |
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CNRS, UMR EcoFoG, AgroParisTech, Cirad, INRA, Université des Antilles, Université de Guyane, Cayenne, 97300, France |
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Nature Publishing Group |
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20452322 (Issn) |
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EcoFoG @ webmaster @ |
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Schepaschenko, D.; Chave, J.; Phillips, O.L.; Lewis, S.L.; Davies, S.J.; Réjou-Méchain, M.; Sist, P.; Scipal, K.; Perger, C.; Herault, B.; Labrière, N.; Hofhansl, F.; Affum-Baffoe, K.; Aleinikov, A.; Alonso, A.; Amani, C.; Araujo-Murakami, A.; Armston, J.; Arroyo, L.; Ascarrunz, N.; Azevedo, C.; Baker, T.; Bałazy, R.; Bedeau, C.; Berry, N.; Bilous, A.M.; Bilous, S.Y.; Bissiengou, P.; Blanc, L.; Bobkova, K.S.; Braslavskaya, T.; Brienen, R.; Burslem, D.F.R.P.; Condit, R.; Cuni-Sanchez, A.; Danilina, D.; Del Castillo Torres, D.; Derroire, G.; Descroix, L.; Sotta, E.D.; d'Oliveira, M.V.N.; Dresel, C.; Erwin, T.; Evdokimenko, M.D.; Falck, J.; Feldpausch, T.R.; Foli, E.G.; Foster, R.; Fritz, S.; Garcia-Abril, A.D.; Gornov, A.; Gornova, M.; Gothard-Bassébé, E.; Gourlet-Fleury, S.; Guedes, M.; Hamer, K.C.; Susanty, F.H.; Higuchi, N.; Coronado, E.N.H.; Hubau, W.; Hubbell, S.; Ilstedt, U.; Ivanov, V.V.; Kanashiro, M.; Karlsson, A.; Karminov, V.N.; Killeen, T.; Koffi, J.-C.K.; Konovalova, M.; Kraxner, F.; Krejza, J.; Krisnawati, H.; Krivobokov, L.V.; Kuznetsov, M.A.; Lakyda, I.; Lakyda, P.I.; Licona, J.C.; Lucas, R.M.; Lukina, N.; Lussetti, D.; Malhi, Y.; Manzanera, J.A.; Marimon, B.; Junior, B.H.M.; Martinez, R.V.; Martynenko, O.V.; Matsala, M.; Matyashuk, R.K.; Mazzei, L.; Memiaghe, H.; Mendoza, C.; Mendoza, A.M.; Moroziuk, O.V.; Mukhortova, L.; Musa, S.; Nazimova, D.I.; Okuda, T.; Oliveira, L.C.; Ontikov, P.V.; Osipov, A.F.; Pietsch, S.; Playfair, M.; Poulsen, J.; Radchenko, V.G.; Rodney, K.; Rozak, A.H.; Ruschel, A.; Rutishauser, E.; See, L.; Shchepashchenko, M.; Shevchenko, N.; Shvidenko, A.; Silveira, M.; Singh, J.; Sonké, B.; Souza, C.; Stereńczak, K.; Stonozhenko, L.; Sullivan, M.J.P.; Szatniewska, J.; Taedoumg, H.; Ter Steege, H.; Tikhonova, E.; Toledo, M.; Trefilova, O.V.; Valbuena, R.; Gamarra, L.V.; Vasiliev, S.; Vedrova, E.F.; Verhovets, S.V.; Vidal, E.; Vladimirova, N.A.; Vleminckx, J.; Vos, V.A.; Vozmitel, F.K.; Wanek, W.; West, T.A.P.; Woell, H.; Woods, J.T.; Wortel, V.; Yamada, T.; Nur Hajar, Z.S.; Zo-Bi, I.C. |
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Title |
The Forest Observation System, building a global reference dataset for remote sensing of forest biomass |
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Journal Article |
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Year |
2019 |
Publication |
Scientific data |
Abbreviated Journal |
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Volume |
6 |
Issue |
198 |
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Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities. |
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FRIM Forest Research Institute of Malaysia, 52109 Kepong, Selangor, Kuala Lumpur, Malaysia |
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Export Date: 21 October 2019 |
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EcoFoG @ webmaster @ |
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889 |
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Longo, M.; Knox, R.G.; Levine, N.M.; Swann, A.L.S.; Medvigy, D.M.; Dietze, M.C.; Kim, Y.; Zhang, K.; Bonal, D.; Burban, B.; Camargo, P.B.; Hayek, M.N.; Saleska, S.R.; Da Silva, R.; Bras, R.L.; Wofsy, S.C.; Moorcroft, P.R. |
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Title |
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: The Ecosystem Demography model, version 2.2-Part 2: Model evaluation for tropical South America |
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Journal Article |
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Year |
2019 |
Publication |
Geoscientific Model Development |
Abbreviated Journal |
Geoscientific Model Dev. |
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Volume |
12 |
Issue |
10 |
Pages |
4347-4374 |
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The Ecosystem Demography model version 2.2 (ED-2.2) is a terrestrial biosphere model that simulates the biophysical, ecological, and biogeochemical dynamics of vertically and horizontally heterogeneous terrestrial ecosystems. In a companion paper (Longo et al., 2019a), we described how the model solves the energy, water, and carbon cycles, and verified the high degree of conservation of these properties in long-term simulations that include long-term (multi-decadal) vegetation dynamics. Here, we present a detailed assessment of the model's ability to represent multiple processes associated with the biophysical and biogeochemical cycles in Amazon forests. We use multiple measurements from eddy covariance towers, forest inventory plots, and regional remote-sensing products to assess the model's ability to represent biophysical, physiological, and ecological processes at multiple timescales, ranging from subdaily to century long. The ED-2.2 model accurately describes the vertical distribution of light, water fluxes, and the storage of water, energy, and carbon in the canopy air space, the regional distribution of biomass in tropical South America, and the variability of biomass as a function of environmental drivers. In addition, ED-2.2 qualitatively captures several emergent properties of the ecosystem found in observations, specifically observed relationships between aboveground biomass, mortality rates, and wood density; however, the slopes of these relationships were not accurately captured. We also identified several limitations, including the model's tendency to overestimate the magnitude and seasonality of heterotrophic respiration and to overestimate growth rates in a nutrient-poor tropical site. The evaluation presented here highlights the potential of incorporating structural and functional heterogeneity within biomes in Earth system models (ESMs) and to realistically represent their impacts on energy, water, and carbon cycles. We also identify several priorities for further model development. |
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Georgia Institute of Technology, Atlanta, GA, United States |
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Copernicus GmbH |
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1991959x (Issn) |
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Cited By :1; Export Date: 27 October 2019; Correspondence Address: Longo, M.; Harvard UniversityUnited States; email: mdplongo@gmail.com |
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EcoFoG @ webmaster @ |
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890 |
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Fichaux, M.; Béchade, B.; Donald, J.; Weyna, A.; Delabie, J.H.C.; Murienne, J.; Baraloto, C.; Orivel, J. |
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Title |
Habitats shape taxonomic and functional composition of Neotropical ant assemblages |
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Journal Article |
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2019 |
Publication |
Oecologia |
Abbreviated Journal |
Oecologia |
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189 |
Issue |
2 |
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501-513 |
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Formicidae; Functional diversity; Habitat filtering; Rainforest; Traits; Formicidae |
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Determining assembly rules of co-occurring species persists as a fundamental goal in community ecology. At local scales, the relative importance of environmental filtering vs. competitive exclusion remains a subject of debate. In this study, we assessed the relative importance of habitat filtering and competition in structuring understory ant communities in tropical forests of French Guiana. Leaf-litter ants were collected using pitfall and Winkler traps across swamp, slope and plateau forests near Saül, French Guiana. We used a combination of univariate and multivariate analyses to evaluate trait response of ants to habitat characteristics. Null model analyses were used to investigate the effects of habitat filtering and competitive interactions on community assembly at the scale of assemblages and sampling points, respectively. Swamp forests presented a much lower taxonomic and functional richness compared to slope and plateau forests. Furthermore, marked differences in taxonomic and functional composition were observed between swamp forests and slope or plateau forests. We found weak evidence for competitive exclusion based on null models. Nevertheless, the contrasting trait composition observed between habitats revealed differences in the ecological attributes of the species in the different forest habitats. Our analyses suggest that competitive interactions may not play an important role in structuring leaf-litter ant assemblages locally. Rather, habitats are responsible for driving both taxonomic and functional composition of ant communities. |
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International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL 33199, United States |
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Springer Verlag |
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00298549 (Issn) |
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EcoFoG @ webmaster @ |
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863 |
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Bodin, S.C.; Scheel-Ybert, R.; Beauchene, J.; Molino, J.-F.; Bremond, L. |
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CharKey: An electronic identification key for wood charcoals of French Guiana |
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Journal Article |
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Year |
2019 |
Publication |
IAWA Journal |
Abbreviated Journal |
Iawa J. |
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Volume |
40 |
Issue |
1 |
Pages |
75-91 |
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Keywords |
anthracology; Charcoal anatomy; computeraided identification; Note: Supplementary material can be accessed in the online edition of this journal via brill.com/iawa.; tropical flora; Xper 2 |
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Tropical tree floras are highly diverse and many genera and species share similar anatomical patterns, making the identification of tropical wood charcoal very difficult. Appropriate tools to characterize charcoal anatomy are thus needed to facilitate and improve identification in such species-rich areas. This paper presents the first computer-aided identification key designed for charcoals from French Guiana, based on the wood anatomy of 507 species belonging to 274 genera and 71 families, which covers respectively 28%, 67% and 86% of the tree species, genera and families currently listed in this part of Amazonia. Species of the same genus are recorded together except those described under a synonym genus in Détienne et al. (1982) that were kept separately. As a result, the key contains 289 'items' and mostly aims to identify charcoals at the genus level. It records 26 anatomical features leading to 112 feature states, almost all of which are illustrated by SEM photographs of charcoal. The descriptions were mostly taken from Détienne et al.'s guidebook on tropical woods of French Guiana (1982) and follow the IAWA list of microscopic features for hardwood identification (Wheeler et al. 1989). Some adjustments were made to a few features and those that are unrelated to charcoal identification were excluded. The whole tool, named CharKey, contains the key itself and the associated database including photographs. It can be downloaded on Figshare at https://figshare.com/s/d7d40060b53d2ad60389 (doi: 10.6084/m9.figshare.6396005). CharKey is accessible using the free software Xper 2 , specifically conceived for taxonomic description and computer aided-identification. |
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Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France |
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Brill Academic Publishers |
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09281541 (Issn) |
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EcoFoG @ webmaster @ |
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864 |
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Franco, W.; Ladino, N.;Delabie, J.H.C.;Dejean, A.;Orivel, J.;Fichaux, M.; Groc, S.;Leponce, M.;Feitosa, R.M. |
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First checklist of the ants (Hymenoptera: Formicidae) of French Guiana |
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Journal Article |
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2019 |
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Zootaxa |
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4674 |
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5 |
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509-543 |
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We provide here a checklist of the ants of French Guiana, an overseas department of France situated in northern South America, with a very low human population density and predominantly covered by old-growth tropical rainforests. Based on 165 scientific papers, specimens deposited in collections, and unpublished surveys, a total of 659 valid species and subspecies from 84 genera and 12 subfamilies is presented. Although far from complete, these numbers represent approximately 10% of the ant diversity known to occur in the Neotropical realm. Additionally, three ant genera and 119 species are reported for the first time for French Guiana. Finally, five species are recognized as erroneous records for the the department in the literature. This checklist significantly expands the basic knowledge of the ants in the Guiana Shield, one of the world’s most important biodiversity hotspots. |
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EcoFoG @ webmaster @ |
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886 |
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Ter Steege, H.; Henkel, T.W.; Helal, N.; Marimon, B.S.; Marimon-Junior, B.H.; Huth, A.; Groeneveld, J.; Sabatier, D.; Coelho, L.S.; Filho, D.A.L.; Salomão, R.P.; Amaral, I.L.; Matos, F.D.A.; Castilho, C.V.; Phillips, O.L.; Guevara, J.E.; Carim, M.J.V.; Cárdenas López, D.; Magnusson, W.E.; Wittmann, F.; Irume, M.V.; Martins, M.P.; Guimarães, J.R.D.S.; Molino, J.-F.; Bánki, O.S.; Piedade, M.T.F.; Pitman, N.C.A.; Mendoza, A.M.; Ramos, J.F.; Luize, B.G.; Moraes de Leão Novo, E.M.; Núñez Vargas, P.; Silva, T.S.F.; Venticinque, E.M.; Manzatto, A.G.; Reis, N.F.C.; Terborgh, J.; Casula, K.R.; Honorio Coronado, E.N.; Montero, J.C.; Feldpausch, T.R.; Duque, A.; Costa, F.R.C.; Arboleda, N.C.; Schöngart, J.; Killeen, T.J.; Vasquez, R.; Mostacedo, B.; Demarchi, L.O.; Assis, R.L.; Baraloto, C.; Engel, J.; Petronelli, P.; Castellanos, H.; de Medeiros, M.B.; Quaresma, A.; Simon, M.F.; Andrade, A.; Camargo, J.L.; Laurance, S.G.W.; Laurance, W.F.; Rincón, L.M.; Schietti, J.; Sousa, T.R.; de Sousa Farias, E.; Lopes, M.A.; Magalhães, J.L.L.; Mendonça Nascimento, H.E.; Lima de Queiroz, H.; Aymard C, G.A.; Brienen, R.; Revilla, J.D.C.; Vieira, I.C.G.; Cintra, B.B.L.; Stevenson, P.R.; Feitosa, Y.O.; Duivenvoorden, J.F.; Mogollón, H.F.; Araujo-Murakami, A.; Ferreira, L.V.; Lozada, J.R.; Comiskey, J.A.; de Toledo, J.J.; Damasco, G.; Dávila, N.; Draper, F.; García-Villacorta, R.; Lopes, A.; Vicentini, A.; Alonso, A.; Dallmeier, F.; Gomes, V.H.F.; Lloyd, J.; Neill, D.; de Aguiar, D.P.P.; Arroyo, L.; Carvalho, F.A.; de Souza, F.C.; do Amaral, D.D.; Feeley, K.J.; Gribel, R.; Pansonato, M.P.; Barlow, J.; Berenguer, E.; Ferreira, J.; Fine, P.V.A.; Guedes, M.C.; Jimenez, E.M.; Licona, J.C.; Peñuela Mora, M.C.; Villa, B.; Cerón, C.; Maas, P.; Silveira, M.; Stropp, J.; Thomas, R.; Baker, T.R.; Daly, D.; Dexter, K.G.; Huamantupa-Chuquimaco, I.; Milliken, W.; Pennington, T.; Ríos Paredes, M.; Fuentes, A.; Klitgaard, B.; Pena, J.L.M.; Peres, C.A.; Silman, M.R.; Tello, J.S.; Chave, J.; Cornejo Valverde, F.; Di Fiore, A.; Hilário, R.R.; Phillips, J.F.; Rivas-Torres, G.; van Andel, T.R.; von Hildebrand, P.; Noronha, J.C.; Barbosa, E.M.; Barbosa, F.R.; de Matos Bonates, L.C.; Carpanedo, R.S.; Dávila Doza, H.P.; Fonty, É.; GómeZárate Z, R.; Gonzales, T.; Gallardo Gonzales, G.P.; Hoffman, B.; Junqueira, A.B.; Malhi, Y.; Miranda, I.P.A.; Pinto, L.F.M.; Prieto, A.; Rodrigues, D.J.; Rudas, A.; Ruschel, A.R.; Silva, N.; Vela, C.I.A.; Vos, V.A.; Zent, E.L.; Zent, S.; Weiss Albuquerque, B.; Cano, A.; Carrero Márquez, Y.A.; Correa, D.F.; Costa, J.B.P.; Flores, B.M.; Galbraith, D.; Holmgren, M.; Kalamandeen, M.; Nascimento, M.T.; Oliveira, A.A.; Ramirez-Angulo, H.; Rocha, M.; Scudeller, V.V.; Sierra, R.; Tirado, M.; Umaña Medina, M.N.; van der Heijden, G.; Vilanova Torre, E.; Vriesendorp, C.; Wang, O.; Young, K.R.; Ahuite Reategui, M.A.; Baider, C.; Balslev, H.; Cárdenas, S.; Casas, L.F.; Farfan-Rios, W.; Ferreira, C.; Linares-Palomino, R.; Mendoza, C.; Mesones, I.; Torres-Lezama, A.; Giraldo, L.E.U.; Villarroel, D.; Zagt, R.; Alexiades, M.N.; de Oliveira, E.A.; Garcia-Cabrera, K.; Hernandez, L.; Palacios Cuenca, W.; Pansini, S.; Pauletto, D.; Ramirez Arevalo, F.; Sampaio, A.F.; Sandoval, E.H.V.; Valenzuela Gamarra, L.; Levesley, A.; Pickavance, G.; Melgaço, K. |
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Title |
Rarity of monodominance in hyperdiverse Amazonian forests |
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Journal Article |
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Year |
2019 |
Publication |
Scientific reports |
Abbreviated Journal |
Scientific reports |
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9 |
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1 |
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13822 |
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Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such “monodominant” forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees over 10cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors. |
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Department of Biology, University of Missouri, St. Louis, MO, 63121, USA |
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Export Date: 7 October 2019 |
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no |
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Call Number |
EcoFoG @ webmaster @ |
Serial |
887 |
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