Abstract
The presence of vegetation in stream ecosystems is highly dynamic in both space and time. A digital photography technique is developed to map aquatic vegetation cover at species level, which has a very high spatial and a flexible temporal resolution. A digital single-lens reflex (DSLR) camera mounted on a handheld telescopic pole is used. The low-altitude (5 m) orthogonal aerial images have a low spectral resolution (red-green-blue), high spatial resolution (∼1.9 pixels cm−2, ∼1.3 cm length) and flexible temporal resolution (monthly). The method is successfully applied in two lowland rivers to quantify four key properties of vegetated rivers: vegetation cover, patch size distribution, biomass and hydraulic resistance. The main advantages are that the method is (i) suitable for continuous and discontinuous vegetation covers, (ii) of very high spatial and flexible temporal resolution, (iii) relatively fast compared to conventional ground survey methods, (iv) non-destructive and (v) relatively cheap and easy to use, and (vi) the software is widely available and similar open source alternatives exist. The study area should be less than 10 m wide, and the prevailing light conditions and water turbidity levels should be sufficient to look into the water. Further improvements of the image processing are expected in the automatic delineation and classification of the vegetation patches.
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References
Anker, Y., Hershkovitz, Y., Ben Dor, E., & Gasith, A. (2014). Application of aerial digital photography for macrophyte cover and composition survey in small rural streams. River Research and Applications, 30(7), 925–937.
Apollo Mapping (2016). RapidEye. In: https://apollomapping.com/imagery/medium-resolution-satellite-imagery.
Bal, K. D., & Meire, P. (2009). The influence of macrophyte cutting on the hydraulic resistance of lowland rivers. Journal of Aquatic Plant Management, 47, 65–68.
Bal, K. D., Struyf, E., Vereecken, H., Viaene, P., De Doncker, L., de Deckere, E., Mostaert, F., & Meire, P. (2011). How do macrophyte distribution patterns affect hydraulic resistances? Ecological Engineering, 37(3), 529–533.
Bal, K. D., Van Belleghem, S., De Deckere, E., & Meire, P. (2006). The re-growth capacity of sago pondweed following mechanical cutting. Journal of Aquatic Plant Management, 44, 139–141.
Barrell, J., & Grant, J. (2015). High-resolution, low-altitude aerial photography in physical geography: A case study characterizing eelgrass (Zostera marina L.) and blue mussel (Mytilus edulis L.) landscape mosaic structure. Progress in Physical Geography, 39(4), 440–459.
Battle, J. M., & Mihuc, T. B. (2000). Decomposition dynamics of aquatic macrophytes in the lower Atchafalaya, a large floodplain river. Hydrobiologia, 418, 123–136.
Baumstark, R., Duffey, R., & Pu, R. (2016). Mapping seagrass and colonized hard bottom in Springs Coast, Florida using WorldView-2 satellite imagery. Estuarine, Coastal and Shelf Science, 181, 83–92.
Blanquet, B. (1928). Pflanzensoziologie (1st ed.). Berlin: Grundzüge der Vegegtationskunde.
Borin, M., & Salvato, M. (2012). Effects of five macrophytes on nitrogen remediation and mass balance in wetland mesocosms. Ecological Engineering, 46, 34–42.
Bryson, M., Johnson-Roberson, M., Murphy, R. J., & Bongiorno, D. (2013). Kite aerial photography for low-cost, ultra-high spatial resolution multi-spectral mapping of intertidal landscapes. PloS One, 8(9).
Carter, G. A., Knapp, A. K., Anderson, J. E., Hoch, G. A., & Smith, M. D. (2005). Indicators of plant species richness in AVIRIS spectra of a mesic grassland. Remote Sensing of Environment, 98(2–3), 304–316.
Champion, P. D., & Tanner, C. C. (2000). Seasonality of macrophytes and interaction with flow in a New Zealand lowland stream. Hydrobiologia, 441(1–3), 1–12.
Chow, V. T. (1959). Open-channel hydraulics. New York: McGraw-Hill.
Colwell, R. (1960). Manual of photographic interpretation Washington, DC.
Cordova, J. M., Rosi-Marshall, E. J., Tank, J. L., & Lamberti, G. A. (2008). Coarse particulate organic matter transport in low-gradient streams of the Upper Peninsula of Michigan. Journal of the North American Benthological Society, 27(3), 760–771.
De Doncker, L., Troch, P., Verhoeven, R., Bal, K., Desmet, N., & Meire, P. (2009a). Relation between resistance characteristics due to aquatic weed growth and the hydraulic capacity of the river Aa. River Research and Applications, 25(10), 1287–1303.
De Doncker, L., Troch, P., Verhoeven, R., Bal, K., Meire, P., & Quintelier, J. (2009b). Determination of the Manning roughness coefficient influenced by vegetation in the river Aa and Biebrza river. Environmental Fluid Mechanics, 9(5), 549–567.
Dhote, S., & Dixit, S. (2009). Water quality improvement through macrophytes—a review. Environmental Monitoring and Assessment, 152(1–4), 149–153.
Dinka, M., Agoston-Szabo, E., & Toth, I. (2004). Changes in nutrient and fibre content of decomposing Phragmites australis litter. International Review of Hydrobiology, 89(5–6), 519–535.
Dronova, I. (2017). Environmental heterogeneity as a bridge between ecosystem service and visual quality objectives in management, planning and design. Landscape and Urban Planning, 163, 90–106.
EU. (2000). 2000/60/EC. A framework for the community action in the field of water policy, or short: The EU Water Framework Directive Directive 2000/60/EC. Brussels: The European Parliament and the European Council of Ministers.
Extence, C. A., Balbi, D. M., & Chadd, R. P. (1999). River flow indexing using British benthic macroinvertebrates: a framework for setting hydroecological objectives. Regulated River, 15(6), 543–574.
Flynn, K. F., & Chapra, S. C. (2014). Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle. Remote Sens-Basel, 6(12), 12815–12836.
Flynn, N. J., Snook, D. L., Wade, A. J., & Jarvie, H. P. (2002). Macrophyte and periphyton dynamics in a UK Cretaceous chalk stream: the River Kennet, a tributary of the Thames. Science of the Total Environment, 282, 143–157.
Franklin, P., Dunbar, M., & Whitehead, P. (2008). Flow controls on lowland river macrophytes: a review. Science of the Total Environment, 400(1–3), 369–378.
Gibbins, C., Vericat, D., & Batalla, R. J. (2007). When is stream invertebrate drift catastrophic? The role of hydraulics and sediment transport in initiating drift during flood events. Freshwater Biology, 52(12), 2369–2384.
Green, J. C. (2005a). Comparison of blockage factors in modelling the resistance of channels containing submerged macrophytes. River Research and Applications, 21(6), 671–686.
Green, J. C. (2005b). Modelling flow resistance in vegetated streams: review and development of new theory. Hydrological Processes, 19(6), 1245–1259.
Guichard, F., Bourget, E., & Agnard, J. P. (2000). High-resolution remote sensing of intertidal ecosystems: a low-cost technique to link scale-dependent patterns and processes. Limnology and Oceanography, 45(2), 328–338.
Gurnell, A. M., van Oosterhout, M. P., de Vlieger, B., & Goodson, J. M. (2006). Reach-scale interactions between aquatic plants and physical habitat: River Frome, Dorset. River Research and Applications, 22(6), 667–680.
Hardesty, L. (2015). Remowing reflections from photos taken through windows: new algorithm exploits multiple reflections in individual images to distinguish reflection from transmission. In: Massachusetts Institute of Technology.
Hering, D., Borja, A., Carstensen, J., Carvalho, L., Elliott, M., Feld, C. K., Heiskanen, A. S., Johnson, R. K., Moe, J., Pont, D., Solheim, A. L., & Van De Bund, W. (2010). The European Water Framework Directive at the age of 10: a critical review of the achievements with recommendations for the future. Science of the Total Environment, 408(19), 4007–4019.
Hestir, E. L., Khanna, S., Andrew, M. E., Santos, M. J., Viers, J. H., Greenberg, J. A., Rajapakse, S. S., & Ustin, S. L. (2008). Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem. Remote Sensing of Environment, 112(11), 4034–4047.
Horvath, T. G. (2004). Retention of particulate matter by macrophytes in a first-order stream. Aquatic Botany, 78(1), 27–36.
Husson, E., Hagner, O., & Ecke, F. (2014). Unmanned aircraft systems help to map aquatic vegetation. Applied Vegetation Science, 17(3), 567–577.
Krause, S., Hannah, D. M., Fleckenstein, J. H., Heppell, C. M., Kaeser, D., Pickup, R., Pinay, G., Robertson, A. L., & Wood, P. J. (2011). Inter-disciplinary perspectives on processes in the hyporheic zone. Ecohydrology, 4(4), 481–499.
Laba, M., Blair, B., Downs, R., Monger, B., Philpot, W., Smith, S., Sullivan, P., & Baveye, P. C. (2010). Use of textural measurements to map invasive wetland plants in the Hudson River National Estuarine Research Reserve with IKONOS satellite imagery. Remote Sensing of Environment, 114, 876–886.
Lamberti, G. A., Gregory, S. V., Ashkenas, L. R., Wildman, R. C., & Steinman, A. D. (1989). Influence of channel geomorphology on retention of dissolved and particulate matter in a cascade mountain stream. Us for Serv T R Psw, 110, 33–39.
Legleiter, C. J. (2003). Spectrally driven classification of high spatial resolution, hyperspectral imagery: a tool for mapping in-stream habitat. Environmental Management, 32(3), 399–411.
Lejeune, O., Tlidi, M., & Lefever, R. (2004). Vegetation spots and stripes: dissipative structures in arid landscapes. International Journal of Quantum Chemistry, 98(2), 261–271.
Lirman, D. & Deangelo, G (2007). Geospatial video monitoring of benthic habitats using the Shallow-Water Positioning System (SWaPS). Oceans-Ieee :1176–1180.
Londo, G. (1976). The decimal scale for releves of permanent quadrats, vol 33.
Madsen, J. D., & Adams, M. S. (1989). The distribution of submerged aquatic macrophyte biomass in a eutrophic stream, Badfish Creek—the effect of environment. Hydrobiologia, 171(2), 111–119.
Madsen, J. D., Chambers, P. A., James, W. F., Koch, E. W., & Westlake, D. F. (2001). The interaction between water movement, sediment dynamics and submersed macrophytes. Hydrobiologia, 444(1–3), 71–84.
Menendez, M., Hernandez, O., & Comin, F. A. (2003). Seasonal comparisons of leaf processing rates in two Mediterranean rivers with different nutrient availability. Hydrobiologia, 495(1–3), 159–169.
NASA (2016). MODIS, moderate resolution imaging spectroradiometer. In: http://modis.gsfc.nasa.gov.
Newman, M. E. J. (2005). Power laws, Pareto distributions and Zipf’s law. Contemporary Physics, 46(5), 323–351.
Nezlin, N. P., Kamer, K., & Stein, E. D. (2007). Application of color infrared aerial photography to assess macroalgal distribution in an eutrophic estuary, upper Newport Bay, California. Estuaries and Coast, 30(5), 855–868.
Pekin, B., & Macfarlane, C. (2009). Measurement of crown cover and leaf area index using digital cover photography and its application to remote sensing. Remote Sens-Basel, 1(4), 1298–1320.
R Core Team (2014). R: A language and environment for statistical computing.
Rango, A., Laliberte, A., Havstad, K., Winters, C., Steele, C. & Browning, D. (2010). Rangeland resource assessment, monitoring, and management using unmanned aerial vehicle-based remote sensing. International Geoscience Remote Sensing :608–611.
Rietkerk, M., Dekker, S. C., de Ruiter, P. C., & van de Koppel, J. (2004). Self-organized patchiness and catastrophic shifts in ecosystems. Science, 305(5692), 1926–1929.
Riis, T., & Biggs, B. J. F. (2003). Hydrologic and hydraulic control of macrophyte establishment and performance in streams. Limnology and Oceanography, 48(4), 1488–1497.
Sand-Jensen, K., Andersen, K., & Andersen, T. (1999). Dynamic properties of recruitment, expansion and mortality of macrophyte patches in streams. International Review of Hydrobiology, 84(5), 497–508.
Satellite Imaging Corporation (2016). Ikonos satellite sensor. In: http://www.satimagingcorp.com/satellite-sensors/ikonos/.
Scanlon, T. M., Caylor, K. K., Levin, S. A., & Rodriguez-Iturbe, I. (2007). Positive feedbacks promote power-law clustering of Kalahari vegetation. Nature, 449(7159), 209–2U4.
Schoelynck, J., De Groote, T., Bal, K., Vandenbruwaene, W., Meire, P., & Temmerman, S. (2012). Self-organised patchiness and scale-dependent bio-geomorphic feedbacks in aquatic river vegetation. Ecography, 35(8), 760–768.
Seitzinger, S., Harrison, J. A., Bohlke, J. K., Bouwman, A. F., Lowrance, R., Peterson, B., Tobias, C., & Van Drecht, G. (2006). Denitrification across landscapes and waterscapes: a synthesis. Ecological Applications, 16(6), 2064–2090.
Shuchman, R. A., Sayers, M. J., & Brooks, C. N. (2013). Mapping and monitoring the extent of submerged aquatic vegetation in the Laurentian Great Lakes with multi-scale satellite remote sensing. Journal of Great Lakes Research, 39, 78–89.
Silva, T. S. F., Costa, M. P. F., Melack, J. M., & Novo, E. M. L. M. (2008). Remote sensing of aquatic vegetation: theory and applications. Environmental Monitoring and Assessment, 140(1–3), 131–145.
Sonnentag, O., Hufkens, K., Teshera-Sterne, C., Young, A. M., Friedl, M. A., Braswell, B. H., Miliman, T., O’Keefe, J., & Richardson, A. D. (2012). Digital repeat photography for phenological research in forest ecosystems. Agricultural and Forest Meteorology, 152, 159–177.
Tamminga, A., Hugenholtz, C., Eaton, B., & Lapointe, M. (2015). Hyperspatial remote sensing of channel reach morphology and hydraulic fish habitat using an unmanned aerial vehicle (Uav): a first assessment in the context of river research and management. River Research and Applications, 31(3), 379–391.
Tempfli, K., Kerle, N., Huurneman, G. & Janssen, L. (2009). Principles of remote sensing. Enschede, NL.
U.S. Department of the Interior & U.S. Geological Survey (2016). Landsat missions. In: http://landsat.usgs.gov.
van de Koppel, J., Gascoigne, J. C., Theraulaz, G., Rietkerk, M., Mooij, W. M., & Herman, P. M. J. (2008). Experimental evidence for spatial self-organization and its emergent effects in mussel bed ecosystems. Science, 322(5902), 739–742.
van der Wal, D., van Dalen, J., Wielemaker-van den Dool, A., Dijkstra, J. T., & Ysebaert, T. (2014). Biophisical contral of the intertidal benthic macroalgae revealed by high-frequency multispectral camera images. Journal of Sea Research, 90, 111–120.
Vereecken, H., Baetens, J., Viaene, P., Mostaert, F., & Meire, P. (2006). Ecological management of aquatic plants: effects in lowland streams. Hydrobiologia, 570, 205–210.
Verschoren, V., Meire, D., Schoelynck, J., Buis, K., Bal, K. D., Troch, P., Meire, P., & Temmerman, S. (2016). Resistance and reconfiguration of natural flexible submerged vegetation in hydrodynamic river modelling. Environmental Fluid Mechanics, 16(1), 245–265.
Villa, P., Bresciani, M., Bolpagni, R., Pinardi, M., & Giardino, C. (2015). A rule-based approach for mapping macrophyte communities using multi-temporal aquatic vegetation indices. Remote Sensing of Environment, 171, 218–233.
Visser, F., Buis, K., Verschoren, V. & Schoelynck, J. (2016). Mapping of submerged aquatic in rivers from very high-resolution image data, using object-based image analysis combined with expert knowledge. Hydrobiologia :19. doi:10.1007/s10750-016-2928-y.
Visser, F., Wallis, C., & Sinnott, A. M. (2013). Optical remote sensing of submerged aquatic vegetation: opportunities for shallow clearwater streams. Limnologica, 43(5), 388–398.
Wiederkehr, J., Grac, C., Fabregue, M., Fontan, B., Labat, F., Le Ber, F., & Tremolieres, M. (2015). Experimental study of uncertainties on the macrophyte index (IBMR) based on species identification and cover. Ecological Indicators, 50, 242–250.
Wood, K. A., Stillman, R. A., Clarke, R. T., Daunt, F., & O’Hare, M. T. (2012). Measuring submerged macrophyte standing crop in shallow rivers: a test of methodology. Aquatic Botany, 102, 28–33.
Acknowledgements
The funding for this research was partly provided by the Research Fund Flanders (FWO, project no. G.0290.10) via the multidisciplinary research project ‘Linking optical imaging techniques and 2D-modelling for studying spatial heterogeneity in vegetated streams and rivers’ (University of Antwerp and University of Ghent) and party by Province of Antwerp, Departement Leefmilieu, dienst Integraal Waterbeleid (report number ECOBE-014-R179). V.V. thanks the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen) for personal research funding. J.S. is a postdoctoral fellow of FWO (project no. 12H8616N).
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Verschoren, V., Schoelynck, J., Buis, K. et al. Mapping the spatio-temporal distribution of key vegetation cover properties in lowland river reaches, using digital photography. Environ Monit Assess 189, 294 (2017). https://doi.org/10.1007/s10661-017-6004-5
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DOI: https://doi.org/10.1007/s10661-017-6004-5