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LiDAR derived ecological integrity indicators for riparian zones: Application to the Houille river in Southern Belgium/Northern France
Institution:1. Geomatics and Landscape Ecology Laboratory, Departments of Biology & Geography and Environmental Studies, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada;2. National Wildlife Research Centre, Environment Canada, Ottawa, ON K1A 0H3, Canada;1. Forest Ecology and Conservation Group, Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK;2. Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38010 San Michele all''Adige (TN), Italy;3. Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305 USA;4. Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB;5. School of Biological Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen AB24 3UU, UK;6. School of Geography, University of Leeds, Leeds LS2 9JT, UK;7. Department of Geography, University College London, London WC1E 6BT, UK;8. Forest Research Centre, Sabah Forestry Department, P.O. Box 1407, 90715 Sandakan, Sabah, Malaysia;9. Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia;1. School of Pure and Applied Sciences. Open University of Cyprus, Cyprus;2. Faculty of Forestry and Wood Technology, FFWT, Mendel University in Brno, Brno, Czech Republic;3. Department of Geoinformation for Environmental Management, CIHEAM-MAICh, Greece
Abstract:Riparian zones are central landscape features providing several ecosystem services and are exceptionally rich in biodiversity. Despite their relatively low area coverage, riparian zones consequently represent a major concern for land and water resource managers confirmed within several European directives. These directives involve effective multi-scale monitoring to assess their conditions and their ability to carry out their functions. The objective of this research was to develop automated tools to provide from a single aerial LiDAR dataset new mapping tools and keystone riparian zone attributes assessing the ecological integrity of the riparian zone at a network scale (24 km).Different metrics were extracted from the original LiDAR point cloud, notably the Digital Terrain Model and Canopy Height Model rasters, allowing the extraction of riparian zones attributes such as the wetted channel (0.89 m; mean residual) and floodplain extents (6.02 m; mean residual). Different riparian forest characteristics were directly extracted from these layers (patch extent, overhanging character, longitudinal continuity, relative water level, mean and relative standard deviation of tree height). Within the riparian forest, the coniferous stands were distinguished from deciduous and isolated trees, with high accuracy (87.3%, Kappa index).Going further the mapping of the indicators, our study proposed an original approach to study the riparian zone attributes within different buffer width, from local scale (50 m long channel axis reach) to a network scale (ca. 2 km long reaches), using a disaggregation/re-agraggation process. This novel approach, combined to graphical presentations of the results allow natural resource managers to visualise the variation of upstream–downstream attributes and to identify priority action areas.In the case study, results showed a general decrease of the riparian forests when the river crosses built-up areas. They also highlighted the lower flooding frequency of riparian forest patches in habitats areas.Those results showed that LiDAR data can be used to extract indicators of ecological integrity of riparian zones in temperate climate zone. They will enable the assessment of the ecological integrity of riparian zones to be undertaken at the regional scale (13,000 km, completely covered by an aerial LIDAR survey in 2014).
Keywords:LiDAR  Ecological integrity indicator  Riparian corridor  Riparian mapping  Network
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