1 1.10 Application of estuarine and coastal classifications in marine ...

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Brainard, R., Asher, J., Grove, J., Helyer, J., Kenyon, J., Mancini, F., Miller, J., Myhre, S., Nadon, M., Rooney, J., Schroeder, R., Smith, E., Vargas-Angel, B., Vogt, S., Vroom, P., Balwain, S., Craig, P., DesRochers, A., Ferguson, S., Hoeke, R., Lammers, M., Lundblad, E., Maragos, J., Moffitt, R., Timmers, M., Vetter, O. 2008. Coral Reef Ecosystem Monitoring Report for American Samoa: 2002-2006: Honolulu, HI, NOAA Pacific Islands Fisheries Science Center, Coral Reef Ecosystem Division, p. 495. Brown, S.K., Buja K.R., Jury, S.H., Monaco, M.E., Banner, A. 2000. Habitat suitability index models for eight fish and invertebrate species in Casco and Sheepscot Bays, Maine. North American Journal of Fisheries Management 20(2), 408-435. Bryant, D., Burke, L., McManus, J., Spalding, M. 1998. Reefs at Risk: A map-based indicator of threats to the world’s coral reefs. World Resources Institute. 56p. Chan, K. M. A., Shaw, M.R., Cameron, D.R., Underwood, E.C., Daily, G.C. 2006 Conservation Planning for Ecosystem Services. PLoS Biol 4 (11: e379). doi:10.1371/journal.pbio.0040379 Charting Progress 2: The state of UK seas. 2010. Department for Environment Food and Rural Affairs, on behalf of the UK Marine Monitoring and Assessment Strategy community, London, UK. http://chartingprogress.defra.gov.uk/ Christensen, J.D., Jeffrey, C.F.G., Caldow, C., Monaco, M.E., Kendall, M.S., Appledoorn, R.S., 2003. Cross-shelf habitat utilization patterns of reef fishes in southwestern Puerto Rico. Gulf and Caribbean Research. 14, 9–27. Cogan, C. B., Todd, B. J., Lawton, P., Noji, T. T. 2009. The role of marine habitat mapping in ecosystem-based management. ICES Journal of Marine Science 66, 2033–2042. Coltman, N., Golding, N., Verling, E. 2008. Developing a broad scale predictive EUNIS habitat map for the MESH study area. Joint Nature Conservation Committee, Peterborough. 74
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1.10 Application of estuarine and c
Page 3 and 4:
SYNOPSIS Coastal and marine classif
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government and non-governmental man
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paucity of species and habitat data
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and many sub-catastrophic disturban
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conservation practitioners, industr
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levels of the hierarchy are defined
Page 15 and 16:
distributions, both within and surr
Page 17 and 18:
In a hierarchical framework for the
Page 19 and 20:
1.10.2.3 Australian Coastal Classif
Page 21 and 22:
Ecological theory predicts that the
Page 23 and 24: outbreaks in the late 1970s (Green
Page 25 and 26: intertidal zones, and shallow coast
Page 27 and 28: 1.10.3.1 Identifying Priority Conse
Page 29 and 30: y the Massachusetts Oceans Act (200
Page 31 and 32: eight color coded zones to provide
Page 33 and 34: appropriate place to investigate fe
Page 35 and 36: 1.10.4.3 Massachusetts Ocean Plan T
Page 37 and 38: One of the foundational concepts un
Page 39 and 40: ecosystems has shown that considera
Page 41 and 42: In May 2004, Germany was the first
Page 43 and 44: improve the design and interpretati
Page 45 and 46: NOAA’s CoastWatch Change Analysis
Page 47 and 48: ground resolution of 30 m. Each cla
Page 49 and 50: also be used to assess the role of
Page 51 and 52: States (Gundlach and Hayes 1978). T
Page 53 and 54: information at the species level. I
Page 55 and 56: 1.10.8.4 Classifying and Mapping Hu
Page 57 and 58: map of the entire Australian shorel
Page 59 and 60: within 11 regions, leading to an ov
Page 61 and 62: enhancement of certain functions in
Page 63 and 64: achieved by identifying barriers to
Page 65 and 66: ecosystem service values extracted
Page 67 and 68: 1.10.12 FUTURE DIRECTIONS AND PRIOR
Page 69 and 70: 1.10.12.1 Linking Patterns and Proc
Page 71 and 72: approach. New classifications will
Page 73: Arundel, H. and Mount, R. 2007. Nat
Page 77 and 78: Duke. N.C., Meynecke, J.O., Dittman
Page 79 and 80: Green, A.L., C.E. Birkeland, R.H. R
Page 81 and 82: Hiddink, J. G., Jennings, S., Kaise
Page 83 and 84: Kostylev, V., Todd, B.J., Fader, G.
Page 85 and 86: Maxwell, D.L., Stelzenmüller, V.,
Page 87 and 88: Spatial and temporal patterns in fi
Page 89 and 90: Sharples, C. 2006. Indicative Mappi
Page 91 and 92: Wells, S., Ravilous, C., Corcoran,
Page 93 and 94: FIGURE LEGENDS Figure 1. A) Classes
Page 95 and 96: Figure 10. Ecological evaluation in
Page 97 and 98: Figure 21. Combining 'intolerance'
Page 99 and 100: selected planning units in gray ins
Page 101 and 102: Box 2. Classifications as thematic
Page 103 and 104: Figure 1. 1
Page 117 and 118: Figure 15. Fishing effort (hrs/day)
Page 121 and 122: Figure 19. 100% Conversion. 80% 60%
Page 125 and 126:
Figure 23. 23
Page 127 and 128:
Figure 25. 25
Page 129 and 130:
Figure 27. 27
Page 131 and 132:
Figure 29. 29
Page 133 and 134:
Figure 31. 31
Page 135:
Figure 33. 33
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