Structural and functional mapping of geosigmeta in Atlantic coastal marshes (France) using a satellite time series

References

• Alcaraz D, Paruelo J, Cabello J. 2006. Identification of current ecosystem functional types in the Iberian Peninsula. Glob Ecol Biogeogr. 15:200–212.10.1111/geb.2006.15.issue-2
   Web of Science ®Google Scholar
• Alcaraz D, Cabello J, Paruelo J. 2009. Baseline characterization of major Iberian vegetation types based on the NDVI dynamics. Plant Ecol. 202:13–29.10.1007/s11258-008-9555-2
   Web of Science ®Google Scholar
• Ali I, Cawkwell F, Dwyer E, Barrett B, Green S. 2016. Satellite remote sensing of grasslands: from observation to management – a review. J Plant Ecol. 9:649–671.
   Web of Science ®Google Scholar
• Amiaud B, Bouzillé J-B, Tournade F, Bonis A. 1998. Spatial patterns of soil salinities in old embanked marshlands in western France. Wetlands 18:482–494.10.1007/BF03161540
   Web of Science ®Google Scholar
• de Araujo Barbosa CC, Atkinson PM, Dearing JA. 2015. Remote sensing of ecosystem services: a systematic review. Ecol Indic. 52:430–443.10.1016/j.ecolind.2015.01.007
   Web of Science ®Google Scholar
• Attorre F, Issa A, Malatesta L, Adeeb A, De Sanctis M, Vitale M, Farcomeni A. 2014. Analysing the relationship between land units and plant communities: the case of Socotra Island (Yemen). Plant Biosyst Int J Deal Asp Plant Biol. 148:529–539.
   Web of Science ®Google Scholar
• Biondi E. 2011. Phytosociology today: methodological and conceptual evolution. Plant Biosyst Int J Deal Asp Plant Biol. 145:19–29.
   Web of Science ®Google Scholar
• Biondi E, Casavecchia S, Pesaresi S. 2011. Phytosociological synrelevés and plant landscape mapping: from theory to practice. Plant Biosyst Int J Deal Asp Plant Biol. 145:261–273.
   Web of Science ®Google Scholar
• Biondi E, Casavecchia S, Pesaresi S, Zivkovic L. 2012. Natura 2000 and the Pan-European ecological network: a new methodology for data integration. Biodivers Conserv. 21:1741–1754.10.1007/s10531-012-0273-7
   Web of Science ®Google Scholar
• Blasi C, Capotorti G, Frondoni R. 2005. Defining and mapping typological models at the landscape scale. Plant Biosyst Int J Deal Asp Plant Biol. 139:155–163.
   Web of Science ®Google Scholar
• Cabello J, Fernández N, Alcaraz-Segura D, Oyonarte C, Piñeiro G, Altesor A, Delibes M, Paruelo JM. 2012. The ecosystem functioning dimension in conservation: insights from remote sensing. Biodivers Conserv. 21:3287–3305.10.1007/s10531-012-0370-7
   Web of Science ®Google Scholar
• Catorci A, Foglia M, Maria Tardella F, Vitanzi A, Sparvoli D, Gatti R, Galli P, Paradisi L. 2012. Map of changes in landscape naturalness in the Fiastra and Salino catchment basins (central Italy). J Maps 8:97–106.10.1080/17445647.2012.668769
   Web of Science ®Google Scholar
• Chalumeau A, Bioret F, Gauberville C, Commagnac L, Lalanne A. Forthcoming. Première contribution à la typologie et la cartographie des séries de végétation forestière du Massif armoricain. Doc Phytosociol. 8:511–520.
   Google Scholar
• Chessel D, Dufour AB, Thioulouse J. 2004. The ade4 package-I-One-table methods. R News 4:5–10.
   Google Scholar
• Choisnet G, Bioret F, Boulet V. Forthcoming. Contribution à l’étude des groupements, séries et géoséries de végétation des levées alluvionnaires de la vallée de l’Ardèche (France, département de l’Ardèche). Doc. Phytosociol. 8:521–531.
   Google Scholar
• Delbosc P, Bioret F, Panaiotis C. 2015. Les séries de végétation de la vallée d’Asco (typologie et cartographie au 1: 25 000). Ecol. Mediterr. 41:5–87.
   Google Scholar
• Delbosc P, Bioret F, Panaiotis C. 2016. Subhalophilous and halophilous geopermaseries and minoriseries of sandy and sandy gravel systems of Corsica: typology, bionomy and sequential analysis vegetation. Int. J. Geobot. Res. 6:9–26.
   Google Scholar
• Demartini C, Bioret F, Lazare J-J. 2017. Typologie et cartographie des géopermaséries et des géocurtaséries des végétations littorales des côtes Manche-Atlantique françaises. Doc. Phytosociol. 6:317–332.
   Google Scholar
• Dimitriadou E, Hornik K, Leisch F, Meyer D, Weingessel A. 2011. e1071: misc functions of the department of statistics (e1071), TU Wien. R package version 1.5-27.
   Google Scholar
• Feilhauer H, Schmidtlein S. 2011. On variable relations between vegetation patterns and canopy reflectance. Ecol Inform. 6:83–92.10.1016/j.ecoinf.2010.12.004
   Web of Science ®Google Scholar
• Galdenzi D, Pesaresi S, Casavecchia S, Zivkovic L, Biondi E. 2012. The phytosociological and syndynamical mapping for the identification of high nature value farmland. Plant Sociol. 49:59–69.
   Google Scholar
• Géhu J. 2004. La symphytosociologie trente ans plus tard (1973–2003). Concepts, systématisation, applications. Bull Soc Bot Cent Ouest. 35:63–80.
   Google Scholar
• Géhu J-M. 2011. On the opportunity to celebrate the centenary of modern phytosociology in 2010. Plant Biosyst Int J Deal Asp Plant Biol. 145:4–8.
   Web of Science ®Google Scholar
• Géhu J-M, Rivas-Martínez S. 1981. Notions fondamentales de phytosociologie. In: Dierschke H, editor. Syntaxonomie. Vaduz: J Cramer; p. 5–33.
   Google Scholar
• Géhu J-M, Bouzille J-B, Bioret F, Godeau M, Botineau M, Clement B, Touffet J, Lahondere C. 1991. Approche paysagere symphytosociologique des marais littoraux du centre-ouest de la France. Colloq Phytosociol Phytosociologie Paysages 17:109–127.
   Google Scholar
• Hijmans RJ, van Etten J. 2014. Raster: geographic data analysis and modeling. R package version, 2, 15.
   Google Scholar
• Homolová L, Malenovský Z, Clevers JGPW, García-Santos G, Schaepman ME. 2013. Review of optical-based remote sensing for plant trait mapping. Ecol Complex. 15:1–16.10.1016/j.ecocom.2013.06.003
   Web of Science ®Google Scholar
• Inglada J, Vincent A, Arias M, Tardy B, Morin D, Rodes I. 2017. Operational high resolution land cover map production at the country scale using satellite image time series. Remote Sens. 9:95.10.3390/rs9010095
   Web of Science ®Google Scholar
• Kosmidou V, Petrou Z, Bunce RGH, Mücher CA, Jongman RHG, Bogers MMB, Lucas RM, Tomaselli V, Blonda P, Padoa-Schioppa E, et al. 2014. Harmonization of the Land Cover Classification System (LCCS) with the General Habitat Categories (GHC) classification system. Ecol. Indic. 36:290–300.10.1016/j.ecolind.2013.07.025
   Web of Science ®Google Scholar
• Lazare J-J. 2009. Phytosociologie dynamico-caténale et gestion de la biodiversité. Acta Bot Gallica 156:49–61.
   Google Scholar
• Lê S, Josse J, Husson F. 2008. FactoMineR: a package for multivariate analysis. J Stat Softw. 25:1–18.
   Web of Science ®Google Scholar
• Lecerf R, Corpetti T, Hubert-Moy L, Dubreuil V. 2005. Monitoring land use and land cover changes in oceanic and fragmented landscapes with reconstructed MODIS time series. In: International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005. Boston (MA): IEEE; p. 195–199.10.1109/AMTRSI.2005.1469871
   Google Scholar
• Lezama F, Baeza S, Altesor A, Cesa A, Chaneton EJ, Paruelo JM. 2014. Variation of grazing-induced vegetation changes across a large-scale productivity gradient. J Veg Sci 25:8–21.10.1111/jvs.2013.25.issue-1
   Web of Science ®Google Scholar
• Lucas R, Blonda P, Bunting P, Jones G, Inglada J, Arias M, Kosmidou V, Petrou ZI, Manakos I, Adamo M, et al. 2015. The earth observation data for habitat monitoring (EODHaM) system. Int J Appl Earth Obs Geoinformation 37:17–28.10.1016/j.jag.2014.10.011
   Web of Science ®Google Scholar
• Mack B, Leinenkugel P, Kuenzer C, Dech S. 2017. A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in situ data. Remote Sens Lett. 8:244–253.10.1080/2150704X.2016.1249299
   Web of Science ®Google Scholar
• Maes J, Egoh B, Willemen L, Liquete C, Vihervaara P, Schägner JP, Grizzetti B, Drakou EG, Notte AL, Zulian G, et al. 2012. Mapping ecosystem services for policy support and decision making in the European Union. Ecosyst Serv. 1:31–39.10.1016/j.ecoser.2012.06.004
   Web of Science ®Google Scholar
• Marion B, Bonis A, Bouzillé J-B. 2010. How much does grazing-induced heterogeneity impact plant diversity in wet grasslands? Écoscience 17:229–239.10.2980/17-3-3315
   Web of Science ®Google Scholar
• Milchunas DG, Lauenroth WK. 1995. Inertia in plant community structure: state changes after cessation of nutrient-enrichment stress. Ecol Appl. 5: 452–458.
   Web of Science ®Google Scholar
• Myneni R, Williams D. 1994. On the relationship between FAPAR and NDVI. Remote Sens Environ. 49:200–211.10.1016/0034-4257(94)90016-7
   Web of Science ®Google Scholar
• Pettorelli N, Vik JO, Mysterud A, Gaillard J-M, Tucker CJ, Stenseth NC. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol Evol. 20:503–510.10.1016/j.tree.2005.05.011
   PubMed Web of Science ®Google Scholar
• Pierfelice KN, Graeme Lockaby B, Krauss KW, Conner WH, Noe GB, Ricker MC. 2015. Salinity influences on aboveground and belowground net primary productivity in tidal wetlands. J Hydrol Eng. 22. doi:10.1061/(ASCE)HE.1943-5584.0001223.
   Google Scholar
• Planchon O. 2000. A study of the coastal climates in France using temperature and precipitation data (1961–1990). Meteorol Appl. 7:217–228.10.1017/S1350482700001481
   Web of Science ®Google Scholar
• R Core Team. 2015. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
   Google Scholar
• Rapinel S, Bouzillé J-B, Oszwald J, Bonis A. 2015. Use of bi-Seasonal Landsat-8 imagery for mapping marshland plant community combinations at the regional scale. Wetlands 35:1043–1054.10.1007/s13157-015-0693-8
   Web of Science ®Google Scholar
• Rivas-Martinez S. 2005. Notions on dynamic-catenal phytosociology as a basis of landscape science. Plant Biosyst Int J Deal Asp Plant Biol. 139:135–144.
   Web of Science ®Google Scholar
• Rivas-Martínez SR, Gandullo JM. 1987. Memoria del mapa de series de vegetación de España 1: 400.000. Madrid: ICONA.
   Google Scholar
• Roux C, Bernard C-E, Thébaud G. 2017. Séries et géoséries de végétation en moyenne montagne: exemple de la région Clermontois. Doc Phytosociol. 6:269–271.
   Google Scholar
• Schile LM, Callaway JC, Parker VT, Vasey MC. 2011. Salinity and inundation influence productivity of the halophytic plant Sarcocornia pacifica. Wetlands 31:1165–1174.10.1007/s13157-011-0227-y
   Web of Science ®Google Scholar
• Scott DW. 2015. Multivariate density estimation: theory, practice, and visualization. New York (NY); John Wiley & Sons: p. 317.
   Google Scholar
• Tomaselli V, Adamo M, Veronico G, Sciandrello S, Tarantino C, Dimopoulos P, Medagli P, Nagendra H, Blonda P. 2016. Definition and application of expert knowledge on vegetation pattern, phenology, and seasonality for habitat mapping, as exemplified in a Mediterranean coastal site. Plant Biosyst Int J Deal Asp Plant Biol. 151:887–899.
   Web of Science ®Google Scholar
• Verger F. 2005. Marais et estuaires du littoral français. Paris: Belin; 335 p.
   Google Scholar
• Violle C, Bonis A, Plantegenest M, Cudennec C, Damgaard C, Marion B, Le Cœur D, Bouzillé J-B. 2011. Plant functional traits capture species richness variations along a flooding gradient. Oikos 120:389–398.10.1111/more.2010.120.issue-3
   Web of Science ®Google Scholar