The use of multilevel modeling in evaluating controls on erosion rates on inter-tidal shore platforms,Kaikoura Peninsula,South Island,New Zealand |
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| Institution: | 1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;2. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China;3. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou University, Chuzhou 239000, China;4. School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK;1. State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China;2. Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen 361102, China;3. Fujian Engineering Research Center for Ocean Remote Sensing Big Data, Xiamen, China;4. Dongshan Swire Marine Station, Xiamen University, China;1. School of Earth, Atmospheric and Life Sciences, University of Wollongong, NSW 2522, Australia;2. Department of Planning and Environment, Locked Bay 1002, Dangar, NSW 2309, Australia;3. Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia;4. Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW 2234, Australia;5. School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia;1. School of Geography and Environmental Sciences, Ulster University, Coleraine BT52 1SA, Northern Ireland, UK;2. Geological Sciences, University of KwaZulu-Natal, South Africa;3. LDGIZC, University of Quebec at Rimouski, Canada;1. School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Parkville, Vic 3010, Australia;2. Biodiversity Division, Department of Energy, Environment, and Climate Action, East Melbourne, Victoria 3002, Australia;3. Geocoastal Research Group, Marine Studies Institute, School of Geosciences, The University of Sydney, NSW 2006, Australia;4. School of Science, University of Waikato, 101 Durham St, Tauranga 3110, New Zealand;5. Environmental Research Institute, University of Waikato, Hamilton 3240, New Zealand;6. School of Life and Environmental Sciences, Deakin University, Warrnambool Campus, Warrnambool, VIC 3280, Australia;7. Fenner School of Environment and Society, Australian National University, ACT 2601, Australia;8. School of Earth and Environment, The University of Canterbury, Upper Riccarton, Christchurch 8041, New Zealand;9. School of Earth, Atmosphere and Environment, Monash University, Clayton, Vic 3800, Australia;1. QUATRE, Environmental Consulting, es Migjorn Gran, Minorca 07749, Spain;2. Department of Biology, Universitat de les Illes Balears, Palma, Majorca 07122, Spain;3. Department of Geography, Universitat de les Illes Balears, Palma, Majorca 07122, Spain;4. Department of Earth and Ocean Dynamics, Universitat de Barcelona, Barcelona 08028, Spain |
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| Abstract: | Repeated measurements of erosion rates on seashore platforms on Kaikoura Peninsula, South Island, New Zealand were gathered over a 28-month period using a micro-erosion meter (MEM). The resultant hierarchical dataset was analysed using multilevel regression modeling. Results indicate that there is persistent variation of rates across measurement occasions within individual points and significant variation is also found across sites (or local ‘contexts’). There is little evidence for significant variation across individual points. The explanatory variables of platform/rock type, distance along platform and seasonality all have a significant effect on the erosion rates and aid the explanation of some of the variation in erosion rates across sites. |
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